44 results on '"health data management"'
Search Results
2. Health information management systems and practices in conflict-affected settings: the case of northwest Syria
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Reem Ladadwa, Mahmoud Hariri, Muhammed Mansur Alatras, Yasir Elferruh, Abdulhakim Ramadan, Mahmoud Dowah, Yahya Mohammad Bawaneh, Wassel Aljerk, Preeti Patel, Abdulkarim Ekzayez, and Nassim El Achi
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Health information systems ,Conflict ,Northwest Syria ,Health data management ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background In conflict settings, as it is the case in Syria, it is crucial to enhance health information management to facilitate an effective and sustainable approach to strengthening health systems in such contexts. In this study, we aim to provide a baseline understanding of the present state of health information management in Northwest Syria (NWS) to better plan for strengthening the health information system of the area that is transitioning to an early-recovery stage. Methods A combination of questionnaires and subsequent interviews was used for data collection. Purposive sampling was used to select twenty-one respondents directly involved in managing and directing different domains of health information in the NWS who worked with local NGOs, INGOs, UN-agencies, or part of the Health Working Group. A scoring system for each public health domain was constructed based on the number and quality of the available datasets for these domains, which were established by Checci and others. Results & conclusions Reliable and aggregate health information in the NWS is limited, despite some improvements made over the past decade. The conflict restricted and challenged efforts to establish a concentrated and harmonized HIS in the NWS, which led to a lack of leadership, poor coordination, and duplication of key activities. Although the UN established the EWARN and HeRAMS as common data collection systems in the NWS, they are directed toward advocacy and managed by external experts with little participation or access from local stakeholders to these datasets. Recommendations There is a need for participatory approaches and the empowerment of local actors and local NGOs, cooperation between local and international stakeholders to increase access to data, and a central domain for planning, organization, and harmonizing the process. To enhance the humanitarian health response in Syria and other crisis areas, it is imperative to invest in data collection and utilisation, mHealth and eHealth technologies, capacity building, and robust technical and autonomous leadership.
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- 2024
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3. Health information management systems and practices in conflict-affected settings: the case of northwest Syria.
- Author
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Ladadwa, Reem, Hariri, Mahmoud, Alatras, Muhammed Mansur, Elferruh, Yasir, Ramadan, Abdulhakim, Dowah, Mahmoud, Bawaneh, Yahya Mohammad, Aljerk, Wassel, Patel, Preeti, Ekzayez, Abdulkarim, and El Achi, Nassim
- Subjects
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HEALTH information systems , *INFORMATION resources management , *CAPACITY building , *JUDGMENT sampling , *ACQUISITION of data - Abstract
Background: In conflict settings, as it is the case in Syria, it is crucial to enhance health information management to facilitate an effective and sustainable approach to strengthening health systems in such contexts. In this study, we aim to provide a baseline understanding of the present state of health information management in Northwest Syria (NWS) to better plan for strengthening the health information system of the area that is transitioning to an early-recovery stage. Methods: A combination of questionnaires and subsequent interviews was used for data collection. Purposive sampling was used to select twenty-one respondents directly involved in managing and directing different domains of health information in the NWS who worked with local NGOs, INGOs, UN-agencies, or part of the Health Working Group. A scoring system for each public health domain was constructed based on the number and quality of the available datasets for these domains, which were established by Checci and others. Results & conclusions: Reliable and aggregate health information in the NWS is limited, despite some improvements made over the past decade. The conflict restricted and challenged efforts to establish a concentrated and harmonized HIS in the NWS, which led to a lack of leadership, poor coordination, and duplication of key activities. Although the UN established the EWARN and HeRAMS as common data collection systems in the NWS, they are directed toward advocacy and managed by external experts with little participation or access from local stakeholders to these datasets. Recommendations: There is a need for participatory approaches and the empowerment of local actors and local NGOs, cooperation between local and international stakeholders to increase access to data, and a central domain for planning, organization, and harmonizing the process. To enhance the humanitarian health response in Syria and other crisis areas, it is imperative to invest in data collection and utilisation, mHealth and eHealth technologies, capacity building, and robust technical and autonomous leadership. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
4. Decision Model to Design Trust-Focused and Blockchain-Based Health Data Management Applications.
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Erler, Christina, Bauer, Ann-Marit, Gauger, Friedrich, and Stork, Wilhelm
- Abstract
Many Blockchain-based approaches have been published in the field of health data management applications (HDMAs). However, no comprehensive guideline exists to guide the multiple and interdependent design decisions to develop such systems. This paper aims to support the HDMA system design processes by introducing a novel decision model. The model considers all relevant requirements, from regulatory context to user needs and trust considerations. To generate the decision model, we define a taxonomy that organizes previously published approaches by their technical design features and combines it with the trust assumptions of the participating actors according to the STRIDE method. The model aims to support a cohesive overall system design by addressing Blockchain type, off-chain storage, identity and access management, security decisions, and the specific use case of data donation. A group of experts evaluated the decision tree and its utility is demonstrated in three representative use cases. Special attention is paid to the use case of data donation via a data trustee, which is examined in detail. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Blockchain en salud: transformando la seguridad y la gestión de datos clínicos
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Marc Albiol-Perarnau and Iris Alarcón Belmonte
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Blockchain ,Healthcare ,Clinical data sharing ,Personal health records ,Health data management ,Electronic health records ,Medicine (General) ,R5-920 - Abstract
Resumen: Introducción: Los avances tecnológicos continúan transformando la sociedad, incluyendo el sector de la salud. La naturaleza descentralizada y verificable de la tecnología blockchain presenta un gran potencial para abordar desafíos actuales en la gestión de datos sanitarios. Discusión: Este artículo indaga sobre cómo la adopción generalizada de blockchain se enfrenta a importantes desafíos y barreras que deben abordarse, como la falta de regulación, la complejidad técnica, la salvaguarda de la privacidad y los costos tanto económicos como tecnológicos. La colaboración entre profesionales médicos, tecnólogos y legisladores es esencial para establecer un marco normativo sólido y una capacitación adecuada. Conclusión: La tecnología blockchain tiene potencial de revolucionar la gestión de datos en el sector de la salud, mejorando la calidad de la atención médica, empoderando a los usuarios y fomentando la compartición segura de datos. Es necesario un cambio cultural y regulatorio, junto a más evidencia, para concluir sus ventajas frente a las alternativas tecnológicas existentes. Abstract: Introduction: Technological advances continue to transform society, including the health sector. The decentralized and verifiable nature of blockchain technology presents great potential for addressing current challenges in healthcare data management. Discussion: This article reports on how the generalized adoption of blockchain faces important challenges and barriers that must be addressed, such as the lack of regulation, technical complexity, safeguarding privacy, and economic and technological costs. Collaboration between medical professionals, technologists and legislators is essential to establish a solid regulatory framework and adequate training. Conclusion: Blockchain technology has the potential to revolutionize data management in the healthcare sector, improving the quality of medical care, empowering users, and promoting the secure sharing of data, but an important cultural change is needed, along with more evidence, to reveal its advantages in front of the existing technological alternative.
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- 2024
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6. Health data hubs: an analysis of existing data governance features for research
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Celia Alvarez-Romero, Alicia Martínez-García, Máximo Bernabeu-Wittel, and Carlos Luis Parra-Calderón
- Subjects
Health data management ,Health data infrastructure ,Health data hub ,Patterns of governance ,Governance models ,Survey ,Public aspects of medicine ,RA1-1270 - Abstract
Abstract Background Digital transformation in healthcare and the growth of health data generation and collection are important challenges for the secondary use of healthcare records in the health research field. Likewise, due to the ethical and legal constraints for using sensitive data, understanding how health data are managed by dedicated infrastructures called data hubs is essential to facilitating data sharing and reuse. Methods To capture the different data governance behind health data hubs across Europe, a survey focused on analysing the feasibility of linking individual-level data between data collections and the generation of health data governance patterns was carried out. The target audience of this study was national, European, and global data hubs. In total, the designed survey was sent to a representative list of 99 health data hubs in January 2022. Results In total, 41 survey responses received until June 2022 were analysed. Stratification methods were performed to cover the different levels of granularity identified in some data hubs’ characteristics. Firstly, a general pattern of data governance for data hubs was defined. Afterward, specific profiles were defined, generating specific data governance patterns through the stratifications in terms of the kind of organization (centralized versus decentralized) and role (data controller or data processor) of the health data hub respondents. Conclusions The analysis of the responses from health data hub respondents across Europe provided a list of the most frequent aspects, which concluded with a set of specific best practices on data management and governance, taking into account the constraints of sensitive data. In summary, a data hub should work in a centralized way, providing a Data Processing Agreement and a formal procedure to identify data providers, as well as data quality control, data integrity and anonymization methods.
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- 2023
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7. Health data hubs: an analysis of existing data governance features for research.
- Author
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Alvarez-Romero, Celia, Martínez-García, Alicia, Bernabeu-Wittel, Máximo, and Parra-Calderón, Carlos Luis
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DIGITAL transformation , *DATA management , *DATA analysis , *DATA integrity , *QUALITY control - Abstract
Background: Digital transformation in healthcare and the growth of health data generation and collection are important challenges for the secondary use of healthcare records in the health research field. Likewise, due to the ethical and legal constraints for using sensitive data, understanding how health data are managed by dedicated infrastructures called data hubs is essential to facilitating data sharing and reuse. Methods: To capture the different data governance behind health data hubs across Europe, a survey focused on analysing the feasibility of linking individual-level data between data collections and the generation of health data governance patterns was carried out. The target audience of this study was national, European, and global data hubs. In total, the designed survey was sent to a representative list of 99 health data hubs in January 2022. Results: In total, 41 survey responses received until June 2022 were analysed. Stratification methods were performed to cover the different levels of granularity identified in some data hubs' characteristics. Firstly, a general pattern of data governance for data hubs was defined. Afterward, specific profiles were defined, generating specific data governance patterns through the stratifications in terms of the kind of organization (centralized versus decentralized) and role (data controller or data processor) of the health data hub respondents. Conclusions: The analysis of the responses from health data hub respondents across Europe provided a list of the most frequent aspects, which concluded with a set of specific best practices on data management and governance, taking into account the constraints of sensitive data. In summary, a data hub should work in a centralized way, providing a Data Processing Agreement and a formal procedure to identify data providers, as well as data quality control, data integrity and anonymization methods. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
8. Provenance Data Management in Health Information Systems: A Systematic Literature Review.
- Author
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Sembay, Márcio José, de Macedo, Douglas Dyllon Jeronimo, Júnior, Laércio Pioli, Braga, Regina Maria Maciel, and Sarasa-Cabezuelo, Antonio
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MANAGEMENT information systems , *DATA management , *HEALTH information systems , *COMPUTER science , *COMPUTER science conferences , *CONFERENCE papers , *BLOCKCHAINS - Abstract
Aims: This article aims to perform a Systematic Literature Review (SLR) to better understand the structures of different methods, techniques, models, methodologies, and technologies related to provenance data management in health information systems (HISs). The SLR developed here seeks to answer the questions that contribute to describing the results. Method: An SLR was performed on six databases using a search string. The backward and forward snowballing technique was also used. Eligible studies were all articles in English that presented on the use of different methods, techniques, models, methodologies, and technologies related to provenance data management in HISs. The quality of the included articles was assessed to obtain a better connection to the topic studied. Results: Of the 239 studies retrieved, 14 met the inclusion criteria described in this SLR. In order to complement the retrieved studies, 3 studies were included using the backward and forward snowballing technique, totaling 17 studies dedicated to the construction of this research. Most of the selected studies were published as conference papers, which is common when involving computer science in HISs. There was a more frequent use of data provenance models from the PROV family in different HISs combined with different technologies, among which blockchain and middleware stand out. Despite the advantages found, the lack of technological structure, data interoperability problems, and the technical unpreparedness of working professionals are still challenges encountered in the management of provenance data in HISs. Conclusion: It was possible to conclude the existence of different methods, techniques, models, and combined technologies, which are presented in the proposal of a taxonomy that provides researchers with a new understanding about the management of provenance data in HISs. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
9. Role of Internet and Communication Technologies (ICT) to Support Clinical Practice and Research in Hospitals
- Author
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Seemanthini, K., Shoba, N., Sowmyalakshmi, B. S., Karthik, S. A., Capello, Fabio, Series Editor, Rinaldi, Giovanni, Series Editor, Gatti, Giovanna, Series Editor, Mittal, Mamta, editor, and Battineni, Gopi, editor
- Published
- 2022
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10. Transforming Healthcare Sector in India Through Blockchain Technology: Challenges and Opportunities from Legal Perspectives
- Author
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Chakrabarty, Shambhu Prasad, Mukherjee, Souvik, Idrees, Sheikh Mohammad, editor, and Nowostawski, Mariusz, editor
- Published
- 2022
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11. Provenance Data Management in Health Information Systems: A Systematic Literature Review
- Author
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Márcio José Sembay, Douglas Dyllon Jeronimo de Macedo, Laércio Pioli Júnior, Regina Maria Maciel Braga, and Antonio Sarasa-Cabezuelo
- Subjects
provenance data management ,data provenance ,provenance data ,health information systems ,health data ,health data management ,Medicine - Abstract
Aims: This article aims to perform a Systematic Literature Review (SLR) to better understand the structures of different methods, techniques, models, methodologies, and technologies related to provenance data management in health information systems (HISs). The SLR developed here seeks to answer the questions that contribute to describing the results. Method: An SLR was performed on six databases using a search string. The backward and forward snowballing technique was also used. Eligible studies were all articles in English that presented on the use of different methods, techniques, models, methodologies, and technologies related to provenance data management in HISs. The quality of the included articles was assessed to obtain a better connection to the topic studied. Results: Of the 239 studies retrieved, 14 met the inclusion criteria described in this SLR. In order to complement the retrieved studies, 3 studies were included using the backward and forward snowballing technique, totaling 17 studies dedicated to the construction of this research. Most of the selected studies were published as conference papers, which is common when involving computer science in HISs. There was a more frequent use of data provenance models from the PROV family in different HISs combined with different technologies, among which blockchain and middleware stand out. Despite the advantages found, the lack of technological structure, data interoperability problems, and the technical unpreparedness of working professionals are still challenges encountered in the management of provenance data in HISs. Conclusion: It was possible to conclude the existence of different methods, techniques, models, and combined technologies, which are presented in the proposal of a taxonomy that provides researchers with a new understanding about the management of provenance data in HISs.
- Published
- 2023
- Full Text
- View/download PDF
12. Trust and The Acquisition and Use of Public Health Information.
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Holland, Stephen, Cawthra, Jamie, Schloemer, Tamara, and Schröder-Bäck, Peter
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PRIVACY ,DATA security failures ,MANAGEMENT of medical records ,PUBLIC health ,MEDICAL ethics ,DATA security ,TRUST ,HEALTH promotion - Abstract
Information is clearly vital to public health, but the acquisition and use of public health data elicit serious privacy concerns. One strategy for navigating this dilemma is to build 'trust' in institutions responsible for health information, thereby reducing privacy concerns and increasing willingness to contribute personal data. This strategy, as currently presented in public health literature, has serious shortcomings. But it can be augmented by appealing to the philosophical analysis of the concept of trust. Philosophers distinguish trust and trustworthiness from cognate attitudes, such as confident reliance. Central to this is value congruence: trust is grounded in the perception of shared values. So, the way to build trust in institutions responsible for health data is for those institutions to develop and display values shared by the public. We defend this approach from objections, such as that trust is an interpersonal attitude inappropriate to the way people relate to organisations. The paper then moves on to the practical application of our strategy. Trust and trustworthiness can reduce privacy concerns and increase willingness to share health data, notably, in the context of internal and external threats to data privacy. We end by appealing for the sort of empirical work our proposal requires. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
- View/download PDF
13. Spacecraft System Autonomous Health Management Design
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Lei, Yong, Qu, Quanyou, Liang, Deyin, Mao, Yilan, Chen, Xi, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martin, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Sun, Songlin, editor, Fu, Meixia, editor, and Xu, Lexi, editor
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- 2019
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14. Identification and Compression Ratios of Standards for Recording Time-Series Resulting from Biomedical Signals
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Folador, João Paulo, Andrade, Adriano O., Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Costa-Felix, Rodrigo, editor, Machado, João Carlos, editor, and Alvarenga, André Victor, editor
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- 2019
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15. A literature review of current technologies on health data integration for patient-centered health management.
- Author
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Peng, Cong, Goswami, Prashant, and Bai, Guohua
- Subjects
- *
DATABASE management , *ELECTRONIC data interchange , *INTERPROFESSIONAL relations , *MEDICAL informatics , *PROGRAMMING languages , *STATISTICAL sampling , *SEMANTICS , *SYSTEMATIC reviews , *SYSTEM integration , *ACCESS to information , *PATIENT-centered care - Abstract
Health data integration enables a collaborative utilization of data across different systems. It not only provides a comprehensive view of a patient's health but can also potentially cope with challenges faced by the current healthcare system. In this literature review, we investigated the existing work on heterogeneous health data integration as well as the methods of utilizing the integrated health data. Our search was narrowed down to 32 articles for analysis. The integration approaches in the reviewed articles were classified into three classifications, and the utilization approaches were classified into five classifications. The topic of health data integration is still under debate and problems are far from being resolved. This review suggests the need for a more efficient way to invoke the various services for aggregating health data, as well as a more effective way to integrate the aggregated health data for supporting collaborative utilization. We have found that the combination of Web Application Programming Interface and Semantic Web technologies has the potential to cope with the challenges based on our analysis of the review result. [ABSTRACT FROM AUTHOR]
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- 2020
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16. Report on current discoverability solutions and FAIR adoption level
- Author
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Alicia Martínez-García, Celia Alvarez-Romero, Silvia Rodríguez Mejías, and Carlos Luis Parra Calderón
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health data hub ,FAIR principles ,health data infrastructure ,FAIR awareness ,best practices ,FAIR compliance ,Health data management ,discoverability - Abstract
This Zenodo submission publication is a report on the current scenario of data hubs across Europe managing health data and their compliance with the FAIR (Findable, Accessible, Interoperable, and Reusable) principles. The report is part of the HealthyCloud WP4 project, which focuses on how health data is managed by the data hubs. The report aims to explore the discoverability mechanisms provided by data hubs and analyze their compliance with the FAIR principles. The report analyzes the survey responses related to the FAIR principles, including stratification of the results, to generate a set of best practices for enabling discoverability of data collections within a data hub at different FAIRness levels. The report also provides a set of best practices on how newly created data hubs can become part of the future European Health Research and Innovation Cloud ecosystem. The report includes a detailed definition for a health data hub in the HealthyCloud project, which plays an essential role in enabling the promised advantages by the FAIR principles. Overall, this report provides valuable insights into the current scenario of data hubs managing health data and their compliance with the FAIR principles, as well as best practices for enabling discoverability and increasing the FAIRness level of data collections.
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- 2023
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17. Guidelines to standardise metadata templates and assessment of FAIRness maturity levels
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Romero, Celia Alvarez, García, Alicia Martínez, Pascal Derycke, Carlos Luis Parra Calderón, Irene Kesisoglou, and Shona Cosgrove
- Subjects
health data hub ,FAIR principles ,health data infrastructure ,metadata ,FAIRness assessment ,Health data management - Abstract
The publication "Improving the Findability, Accessibility, Interoperability, and Reusability (FAIR principles) of health data stored in data infrastructures for secondary use and meeting the appropriate requirements" emphasizes the need to enhance the data infrastructure for health data, particularly in the wake of the COVID-19 pandemic. The publication provides insight into the deficiencies of health data infrastructure, including cultural barriers, out-of-date policies, and misaligned incentives, which must be addressed to improve research and innovation in the health field. The deliverable D3.2, "Guidelines to standardise metadata templates and assessment of FAIRness maturity levels," is a set of recommendations for the best practices in FAIR-health metadata templates. The guidelines are based on the results of HealthyCloud Task 3.3, "Reference guidelines to standardize metadata templates for health-related data for uplifting and creating FAIR data catalogues," which focuses on capturing insights from the FAIRness maturity evaluation of data collections carried out in Task 3.2, "Landscape analysis of FAIRness levels of health-related data using a catalogue matrix." The deliverable provides a set of recommendations that can be applied to assess the FAIRness maturity levels in health data infrastructures, taking into account the specific requirements for health data due to its sensitive nature. The publication concludes by mentioning that previous initiatives on metadata templates have been explored to be included as references of the D3.2 guidelines. The submission to Zenodo will likely include the full text of the deliverable D3.2, along with any relevant references and additional information about the research project, authors, and funding sources.
- Published
- 2023
- Full Text
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18. Blockchain design in health data management
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Stefano Abbate, Piera Centobelli, Roberto Cerchione, Eugenio Oropallo, and Emanuela Riccio
- Subjects
medical data management ,blockchain technology ,distributed ledger ,electronic health record (EHR) ,health data management - Published
- 2022
19. Trust and The Acquisition and Use of Public Health Information
- Author
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Peter Schröder-Bäck, Tamara Schloemer, Jamie Cawthra, Stephen Holland, RS: CAPHRI - R2 - Creating Value-Based Health Care, RS: CAPHRI - R4 - Health Inequities and Societal Participation, International Health, and RS: FHML Studio Europa Maastricht
- Subjects
Value (ethics) ,Information privacy ,medicine.medical_specialty ,Health (social science) ,business.industry ,Health Policy ,Public health ,Internet privacy ,Context (language use) ,Interpersonal communication ,Creating shared value ,Public health information ,Trust ,Health data management ,Dilemma ,Issues, ethics and legal aspects ,Attitude ,Value congruence ,Privacy ,Philosophical analysis ,medicine ,Humans ,Original Article ,Public Health ,business - Abstract
Information is clearly vital to public health, but the acquisition and use of public health data elicit serious privacy concerns. One strategy for navigating this dilemma is to build 'trust' in institutions responsible for health information, thereby reducing privacy concerns and increasing willingness to contribute personal data. This strategy, as currently presented in public health literature, has serious shortcomings. But it can be augmented by appealing to the philosophical analysis of the concept of trust. Philosophers distinguish trust and trustworthiness from cognate attitudes, such as confident reliance. Central to this is value congruence: trust is grounded in the perception of shared values. So, the way to build trust in institutions responsible for health data is for those institutions to develop and display values shared by the public. We defend this approach from objections, such as that trust is an interpersonal attitude inappropriate to the way people relate to organisations. The paper then moves on to the practical application of our strategy. Trust and trustworthiness can reduce privacy concerns and increase willingness to share health data, notably, in the context of internal and external threats to data privacy. We end by appealing for the sort of empirical work our proposal requires.
- Published
- 2022
20. Health Data Management Health data management
- Author
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Böcking, Wolfgang, Trojanus, Diana, and Kirch, Wilhelm, editor
- Published
- 2008
- Full Text
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21. Proposed Implementation of Blockchain in British Columbia’s Health Care Data Management
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Danielle Cadoret, Tamara Kailas, Pedro Elkind Velmovitsky, Plinio P. Morita, and Okechukwu Igboeli
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blockchain ,Data management ,Interoperability ,Health Informatics ,02 engineering and technology ,lcsh:Computer applications to medicine. Medical informatics ,03 medical and health sciences ,0302 clinical medicine ,Viewpoint ,Health care ,0202 electrical engineering, electronic engineering, information engineering ,Information system ,electronic medical records ,Electronic Health Records ,Humans ,Operations management ,030212 general & internal medicine ,Information flow (information theory) ,Data Management ,British Columbia ,business.industry ,lcsh:Public aspects of medicine ,Information technology ,020206 networking & telecommunications ,lcsh:RA1-1270 ,patient centric ,Private sector ,General partnership ,health data management ,lcsh:R858-859.7 ,business ,Delivery of Health Care - Abstract
Background There are several challenges such as information silos and lack of interoperability with the current electronic medical record (EMR) infrastructure in the Canadian health care system. These challenges can be alleviated by implementing a blockchain-based health care data management solution. Objective This study aims to provide a detailed overview of the current health data management infrastructure in British Columbia for identifying some of the gaps and inefficiencies in the Canadian health care data management system. We explored whether blockchain is a viable option for bridging the existing gaps in EMR solutions in British Columbia’s health care system. Methods We constructed the British Columbia health care data infrastructure and health information flow based on publicly available information and in partnership with an industry expert familiar with the health systems information technology network of British Columbia’s Provincial Health Services Authorities. Information flow gaps, inconsistencies, and inefficiencies were the target of our analyses. Results We found that hospitals and clinics have several choices for managing electronic records of health care information, such as different EMR software or cloud-based data management, and that the system development, implementation, and operations for EMRs are carried out by the private sector. As of 2013, EMR adoption in British Columbia was at 80% across all hospitals and the process of entering medical information into EMR systems in British Columbia could have a lag of up to 1 month. During this lag period, disease progression updates are continually written on physical paper charts and not immediately updated in the system, creating a continuous lag period and increasing the probability of errors and disjointed notes. The current major stumbling block for health care data management is interoperability resulting from the use of a wide range of unique information systems by different health care facilities. Conclusions Our analysis of British Columbia’s health care data management revealed several challenges, including information silos, the potential for medical errors, the general unwillingness of parties within the health care system to trust and share data, and the potential for security breaches and operational issues in the current EMR infrastructure. A blockchain-based solution has the highest potential in solving most of the challenges in managing health care data in British Columbia and other Canadian provinces.
- Published
- 2020
22. The Need for Machine-Processable Agreements in Health Data Management
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Mark J. Weal, Anneke Lucassen, George Konstantinidis, Lisa Marie Ballard, Ahmed Alzubaidi, and Adriane Chapman
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Knowledge management ,lcsh:T55.4-60.8 ,Computer science ,Privacy policy ,data sharing ,02 engineering and technology ,Ontology (information science) ,lcsh:QA75.5-76.95 ,Theoretical Computer Science ,Domain (software engineering) ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,privacy languages ,lcsh:Industrial engineering. Management engineering ,Semantic Web ,Numerical Analysis ,business.industry ,privacy policies ,Construct (python library) ,Service provider ,Data sharing ,Computational Mathematics ,genomic medicine ,Computational Theory and Mathematics ,Order (business) ,health data management ,020201 artificial intelligence & image processing ,consent ,lcsh:Electronic computers. Computer science ,genomic data ,business - Abstract
Data processing agreements in health data management are laid out by organisations in monolithic &ldquo, Terms and Conditions&rdquo, documents written in natural legal language. These top-down policies usually protect the interest of the service providers, rather than the data owners. They are coarse-grained and do not allow for more than a few opt-in or opt-out options for individuals to express their consent on personal data processing, and these options often do not transfer to software as they were intended to. In this paper, we study the problem of health data sharing and we advocate the need for individuals to describe their personal contract of data usage in a formal, machine-processable language. We develop an application for sharing patient genomic information and test results, and use interactions with patients and clinicians in order to identify the particular peculiarities a privacy/policy/consent language should offer in this complicated domain. We present how Semantic Web technologies can have a central role in this approach by providing the formal tools and features required in such a language. We present our ongoing approach to construct an ontology-based framework and a policy language that allows patients and clinicians to express fine-grained consent, preferences or suggestions on sharing medical information. Our language offers unique features such as multi-party ownership of data or data sharing dependencies. We evaluate the landscape of policy languages from different areas, and show how they are lacking major requirements needed in health data management. In addition to enabling patients, our approach helps organisations increase technological capabilities, abide by legal requirements, and save resources.
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- 2020
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23. A literature review of current technologies on health data integration for patient-centered health management
- Author
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Guohua Bai, Prashant Goswami, and Cong Peng
- Subjects
self-management ,Technology ,020205 medical informatics ,Computer science ,Interface (Java) ,Interoperability ,Health Informatics ,health data collaborative utilization ,interoperability ,02 engineering and technology ,patient-centered care ,Health data ,Patient-Centered Care ,0202 electrical engineering, electronic engineering, information engineering ,Web application ,health data integration ,Humans ,Semantic Web ,Self-management ,Health management system ,business.industry ,Computer Sciences ,020206 networking & telecommunications ,Data science ,Datavetenskap (datalogi) ,Work (electrical) ,health data management ,business ,Delivery of Health Care - Abstract
Health data integration enables a collaborative utilization of data across different systems. It not only provides a comprehensive view of a patient’s health but can also potentially cope with challenges faced by the current healthcare system. In this literature review, we investigated the existing work on heterogeneous health data integration as well as the methods of utilizing the integrated health data. Our search was narrowed down to 32 articles for analysis. The integration approaches in the reviewed articles were classified into three classifications, and the utilization approaches were classified into five classifications. The topic of health data integration is still under debate and problems are far from being resolved. This review suggests the need for a more efficient way to invoke the various services for aggregating health data, as well as a more effective way to integrate the aggregated health data for supporting collaborative utilization. We have found that the combination of Web Application Programming Interface and Semantic Web technologies has the potential to cope with the challenges based on our analysis of the review result. open access
- Published
- 2019
24. Taming Performance Variability of Healthcare Data Service Frameworks with Proactive and Coarse-Grained Memory Cleaning
- Author
-
Eunji Lee
- Subjects
Databases, Factual ,Computer science ,Health, Toxicology and Mutagenesis ,memory reclamation ,lcsh:Medicine ,High resolution ,Information Storage and Retrieval ,Guidelines as Topic ,02 engineering and technology ,Article ,medical systems ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,Memory reclamation ,Electronic Health Records ,Humans ,Latency (engineering) ,data framework for applied health data ,Healthcare data ,database ,Medical systems ,Embedded database ,Computer Storage Devices ,business.industry ,lcsh:R ,Public Health, Environmental and Occupational Health ,020206 networking & telecommunications ,health data management ,Equipment Failure Analysis ,Embedded system ,business ,Mobile device ,Database transaction - Abstract
This article explores the performance optimizations of an embedded database memory management system to ensure high responsiveness of real-time healthcare data frameworks. SQLite is a popular embedded database engine extensively used in medical and healthcare data storage systems. However, SQLite is essentially built around lightweight applications in mobile devices, and it significantly deteriorates when a large transaction is issued such as high resolution medical images or massive health dataset, which is unlikely to occur in embedded systems but is quite common in other systems. Such transactions do not fit in the in-memory buffer of SQLite, and SQLite enforces memory reclamation as they are processed. The problem is that the current SQLite buffer management scheme does not effectively manage these cases, and the naïve reclamation scheme used significantly increases the user-perceived latency. Motivated by this limitation, this paper identifies the causes of high latency during processing of a large transaction, and overcomes the limitation via proactive and coarse-grained memory cleaning in SQLite.The proposed memory reclamation scheme was implemented in SQLite 3.29, and measurement studies with a prototype implementation demonstrated that the SQLite operation latency decreases by 13% on an average and up to 17.3% with our memory reclamation scheme as compared to that of the original version.
- Published
- 2019
25. Patient-Centered Mobile Health Data Management Solution for the German Health Care System (The DataBox Project)
- Author
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Stefanie Rudolph, Christof von Kalle, Titus J. Brinker, and Daniela Richter
- Subjects
0301 basic medicine ,Cancer Research ,Knowledge management ,business.industry ,Computer science ,Perspective (graphical) ,Patient data ,Health informatics ,language.human_language ,Health data ,German ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Viewpoint ,Oncology ,Health care ,health data management ,language ,medical informatics ,business ,030217 neurology & neurosurgery ,Patient centered - Abstract
This article describes the DataBox project which offers a perspective of a new health data management solution in Germany. DataBox was initially conceptualized as a repository of individual lung cancer patient data (structured and unstructured). The patient is the owner of the data and is able to share his or her data with different stakeholders. Data is transferred, displayed, and stored online, but not archived. In the long run, the project aims at replacing the conventional method of paper- and storage-device-based handling of data for all patients in Germany, leading to better organization and availability of data which reduces duplicate diagnostic procedures, treatment errors, and enables the training as well as usage of artificial intelligence algorithms on large datasets.
- Published
- 2018
26. Proposed Implementation of Blockchain in British Columbia's Health Care Data Management.
- Author
-
Cadoret, Danielle, Kailas, Tamara, Velmovitsky, Pedro, Morita, Plinio, and Igboeli, Okechukwu
- Subjects
MEDICAL care - Abstract
Background: There are several challenges such as information silos and lack of interoperability with the current electronic medical record (EMR) infrastructure in the Canadian health care system. These challenges can be alleviated by implementing a blockchain-based health care data management solution.Objective: This study aims to provide a detailed overview of the current health data management infrastructure in British Columbia for identifying some of the gaps and inefficiencies in the Canadian health care data management system. We explored whether blockchain is a viable option for bridging the existing gaps in EMR solutions in British Columbia's health care system.Methods: We constructed the British Columbia health care data infrastructure and health information flow based on publicly available information and in partnership with an industry expert familiar with the health systems information technology network of British Columbia's Provincial Health Services Authorities. Information flow gaps, inconsistencies, and inefficiencies were the target of our analyses.Results: We found that hospitals and clinics have several choices for managing electronic records of health care information, such as different EMR software or cloud-based data management, and that the system development, implementation, and operations for EMRs are carried out by the private sector. As of 2013, EMR adoption in British Columbia was at 80% across all hospitals and the process of entering medical information into EMR systems in British Columbia could have a lag of up to 1 month. During this lag period, disease progression updates are continually written on physical paper charts and not immediately updated in the system, creating a continuous lag period and increasing the probability of errors and disjointed notes. The current major stumbling block for health care data management is interoperability resulting from the use of a wide range of unique information systems by different health care facilities.Conclusions: Our analysis of British Columbia's health care data management revealed several challenges, including information silos, the potential for medical errors, the general unwillingness of parties within the health care system to trust and share data, and the potential for security breaches and operational issues in the current EMR infrastructure. A blockchain-based solution has the highest potential in solving most of the challenges in managing health care data in British Columbia and other Canadian provinces. [ABSTRACT FROM AUTHOR]- Published
- 2020
- Full Text
- View/download PDF
27. Designing mobile instant messaging for collaborative health data management in Rwanda
- Author
-
Roa, Julie Hill
- Subjects
Dhis 2 ,Hisp ,Rwanda ,Mobile Instant Messaging ,Health data Management - Abstract
Fast and efficient communication is crucial for workers that are required to collaborate. Instant messaging has been found to be more efficient than email and other asynchronous messaging systems when used for asking quick questions. Group chats have also been shown to stimulate collaboration between multiple users. In this thesis, we explore how mobile instant messaging can facilitate and stimulate collaboration between health data managers working in different facilities in Rwanda. An instant messaging application for Android has been developed and tested during this project. The application connects to the health management information system in Rwanda that is used by the data managers to collect and aggregate health data. The application also supports collaborative and social data analysis, by providing the users with a platform to share and discuss health data visualizations in groups. We have applied Social Presence Theory, Media Richness Theory and Social Data Analysis for the development of the Android application, as well as to analyze empirical data concerning the design and implementation of an instant messaging application for health data managers. The research method used in this project is called Action Design Research (ADR). Three cycles of testing have been conducted, both at the University of Oslo and in Rwanda. The empirical data collected during a month-long field test in Rwanda and subsequent data analysis has resulted in nine design principles for how to design an instant messaging application. To facilitate collaboration, we found low data consumption, loose coupling of the system and self-explanatory graphical user interface (GUI) to be important design principles. As well as having predefined HMIS users and private and self-monitored servers to run the systems on. Presence awareness, statistical integrations, flexible group compositions and attachment integration is found as the design principles that stimulate collaboration.
- Published
- 2017
28. Designing mobile instant messaging for collaborative health data management in Rwanda
- Author
-
Fraschetti, Yrjan Aleksander Frøyland
- Subjects
DHIS 2 ,health data management ,mobile instant messaging ,Rwanda ,health ,HMIS - Abstract
Fast and efficient communication is crucial for workers that are required to collaborate. Instant messaging has been found to be more efficient than email and other asynchronous messaging systems when used for asking quick questions. Group chats have also been shown to stimulate collaboration between multiple users. In this thesis, we explore how mobile instant messaging can facilitate and stimulate collaboration between health data managers working in different facilities in Rwanda. An instant messaging application for Android has been developed and tested during this project. The application connects to the health management information system in Rwanda that is used by the data managers to collect and aggregate health data. The application also supports collaborative and social data analysis, by providing the users with a platform to share and discuss health data visualizations in groups. We have applied Social Presence Theory, Media Richness Theory and Social Data Analysis for the development of the Android application, as well as to analyze empirical data concerning the design and implementation of an instant messaging application for health data managers. The research method used in this project is called Action Design Research (ADR). Three cycles of testing have been conducted, both at the University of Oslo and in Rwanda. The empirical data collected during a month-long field test in Rwanda and subsequent data analysis has resulted in nine design principles for how to design an instant messaging application. To facilitate collaboration, we found low data consumption, loose coupling of the system and self-explanatory graphical user interface (GUI) to be important design principles. As well as having predefined HMIS users and private and self-monitored servers to run the systems on. Presence awareness, statistical integrations, flexible group compositions and attachment integration is found as the design principles that stimulate collaboration.
- Published
- 2017
29. Data Quality Methods and Applications in Health Care System: A Systematic Literature Review
- Author
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Silvana Secinaro, Valerio Brescia, Davide Calandra, and Paolo Biancone
- Subjects
applications ,Computer science ,business.industry ,media_common.quotation_subject ,05 social sciences ,healthcare ,Cataloging ,Context (language use) ,data quality, health data management, healthcare, applications ,Statistical process control ,Data science ,Field (computer science) ,03 medical and health sciences ,0302 clinical medicine ,Systematic review ,050903 gender studies ,Data quality ,health data management ,Health care ,data quality ,Quality (business) ,030212 general & internal medicine ,0509 other social sciences ,business ,media_common - Abstract
The use of data cataloging tools allows keeping different records of both qualitative and quantitative information. However, the large amount of data is not always synonymous with quality, in the medical field this argument becomes even more critical if it is considered the consequences that the lack of a systematic and rigorous process can have for patients. The analysis was conducted through a systematic review includes several general cases and practical methodologies of data quality analysis in the health context. The search for results was made using the keywords "data quality" and "health." The study considers publications made from 2014 to 2018, topic related to Business, Management and Accounting, exclusively in the case of the Tutto platform peer-review journals were chosen, English language of publication. Efficient use of information requires databases that can collect and order health information. However, this is the first step, data quality attempts to go further through the creation of qualitative or statistical control processes and indicators able to ascertain the lack of data or identify potential anomalies. The conducted analysis sets the stage for future quality implementation in the clinical pathway and patient management.
- Published
- 2019
30. The Need for Machine-Processable Agreements in Health Data Management †.
- Author
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Konstantinidis, George, Chapman, Adriane, Weal, Mark J., Alzubaidi, Ahmed, Ballard, Lisa M., and Lucassen, Anneke M.
- Subjects
- *
DATA management , *SEMANTIC Web , *LANGUAGE policy , *NATURAL languages , *ELECTRONIC data processing , *PERSONALLY identifiable information - Abstract
Data processing agreements in health data management are laid out by organisations in monolithic "Terms and Conditions" documents written in natural legal language. These top-down policies usually protect the interest of the service providers, rather than the data owners. They are coarse-grained and do not allow for more than a few opt-in or opt-out options for individuals to express their consent on personal data processing, and these options often do not transfer to software as they were intended to. In this paper, we study the problem of health data sharing and we advocate the need for individuals to describe their personal contract of data usage in a formal, machine-processable language. We develop an application for sharing patient genomic information and test results, and use interactions with patients and clinicians in order to identify the particular peculiarities a privacy/policy/consent language should offer in this complicated domain. We present how Semantic Web technologies can have a central role in this approach by providing the formal tools and features required in such a language. We present our ongoing approach to construct an ontology-based framework and a policy language that allows patients and clinicians to express fine-grained consent, preferences or suggestions on sharing medical information. Our language offers unique features such as multi-party ownership of data or data sharing dependencies. We evaluate the landscape of policy languages from different areas, and show how they are lacking major requirements needed in health data management. In addition to enabling patients, our approach helps organisations increase technological capabilities, abide by legal requirements, and save resources. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
31. Design and Experimental Approach to the Construction of a Human Signal-Molecule-Profiling Database
- Author
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Xinyan Zhao and Tao Dong
- Subjects
Databases, Factual ,data acquisition ,Health, Toxicology and Mutagenesis ,Stable income ,lcsh:Medicine ,computer.software_genre ,Article ,Software ,Data acquisition ,Profiling (information science) ,Medicine ,Humans ,Prospective Studies ,Translational bioinformatics ,Database ,business.industry ,public health informatics ,signal molecule profiling ,lcsh:R ,Public Health, Environmental and Occupational Health ,Computational Biology ,computer.file_format ,Microfluidic Analytical Techniques ,lab on a chip ,Hormones ,Hospitals ,Public health informatics ,health data management ,Cytokines ,Executable ,Data as a service ,business ,computer - Abstract
The human signal-molecule-profiling database (HSMPD) is designed as a prospective medical database for translational bioinformatics (TBI). To explore the feasibility of low-cost database construction, we studied the roadmap of HSMPD. A HSMPD-oriented tool, called “signal-molecule-profiling (SMP) chip” was developed for data acquisition, which can be employed in the routine blood tests in hospitals, the results will be stored in the HSMPD system automatically. HSMPD system can provide data services for the TBI community, which generates a stable income to support the data acquisition. The small-scale experimental test was performed in the hospital to verify SMP chips and the demo HSMPD software. One hundred and eighty nine complete SMP records were collected, and the demo HSMPD system was also evaluated in the survey study on patients and doctors. The function of SMP chip was verified, whereas the demo HSMPD software needed to be improved. The survey study showed that patients would only accept free tests of SMP chips when they originally needed blood examinations. The study indicated that the construction of HSMPD relies on the self-motivated cooperation of the TBI community and the traditional healthcare system. The proposed roadmap potentially provides an executable solution to build the HSMPD without high costs.
- Published
- 2013
- Full Text
- View/download PDF
32. Contracts Update
- Subjects
Health Data Management - Abstract
The Contracts Update section includes announcements of contracts that health care information technology companies have signed with customers in recent weeks. Contract news can be sent to Health Data Management [...]
- Published
- 2001
33. 2001 HIMSS Conference and Exhibition Preview: HIMSS and Health Data Management Begin Third Year of Educational Effort
- Author
-
Lieber, H. Stephen
- Subjects
Health Data Management - Abstract
For the third year in a row, the Healthcare Information and Management Systems Society is pleased to collaborate with Health Data Management magazine on the HIMSS Educational Resource Series. This [...]
- Published
- 2001
34. HDM Online
- Subjects
Health Data Management - Abstract
News Service Available Health Data Management magazine offers HDM Week, a free weekly e-mail news service that provides access to the week's top stories. HDM Week, delivered every Friday afternoon, [...]
- Published
- 2000
35. Publisher's Letter
- Subjects
Health Data Management - Abstract
Over the past eight years, Health Data Management has covered many intriguing health care I.T. trends and developments. Some have foundered, some have flourished. Community health information networks, or CHINs, [...]
- Published
- 2000
36. HDM Online: News Service Available
- Subjects
Health Data Management - Abstract
Health Data Management magazine now offers HDM Week, a free weekly e-mail news service that provides access to the week's top stories. Delivered every Friday afternoon, HDM Week offers breaking [...]
- Published
- 2000
37. Publisher's Letter
- Subjects
Health Data Management - Abstract
For the past two years, Health Data Management has been collaborating with the Healthcare Information and Management Systems Society on an important educational project. About once each quarter, this magazine [...]
- Published
- 2000
38. Online Survey Comments
- Subjects
Health Data Management - Abstract
I believe that many organizations were beginning to address the issue of security even before the threat of HIPAA. This, coupled with the decreasing costs of security technologies such as [...]
- Published
- 2000
39. Publisher's Letter
- Subjects
Health Data Management - Abstract
As the editor and associate publisher of a national magazine, the greatest blessing is a large staff of highly educated, highly motivated, and very talented writers and editors. That being [...]
- Published
- 2000
40. Online Survey Comments
- Subjects
Health Data Management - Abstract
One year ago, I would have agreed that improving health care Was becoming a more important factor in ROI consideration. However, with financial pressures from the Balanced Budget Act of [...]
- Published
- 2000
41. Electronic Claims Growth Plods Ahead
- Author
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Briggs, Bill
- Subjects
Health Data Management - Abstract
Although trailing the double-digit growth of the mid-1990s, claims automation marches onward. Growth in claims automation trudges forward as the industry emerges from the year 2000 doldrums that stalled information [...]
- Published
- 2000
42. PUBLISHER'S LETTER
- Author
-
Anderson, Howard J.
- Subjects
Thomson Corp. ,Health Data Management ,Publishing industry ,Publishing industry ,Business ,Health care industry - Abstract
Way back in the early 1990s, even before we launched Health Data Management magazine, we offered a twice-monthly newsletter known as Automated Medical Payments News, which was later renamed Health [...]
- Published
- 2000
43. Contracts Update
- Subjects
Health Data Management - Abstract
Contract news can be sent to Health Data Management via facsimile to 312-913-1959 or by electronic mail to tyler_chin@faulknergray.com DAOU SYSTEMS INC. Help desk services St. Vincent Hospitals and Health [...]
- Published
- 1998
44. Publisher's Letter
- Author
-
Anderson, Howard J.
- Subjects
Health Data Management - Abstract
The Health Data Group at Faulkner & Gray has the nation's largest team of experienced journalists devoted to coverage of health care information technology. As we add two new magazines [...]
- Published
- 1998
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