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Your search keyword '"De Marco, Dorotea Alessandra"' showing total 3 results
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3 results on '"De Marco, Dorotea Alessandra"'

1. Artificial Intelligence in Healthcare : Directions of Standardization

Author

Hoc Group on Application of AI Technologies, Alcini, Paolo, Baird, Pat, Williams, Peter, Bhattacharyya, SB, Cooper, Todd, de la Cruz, Rich, Kumar, Chandan, Datta, Gora, De Marco, Dorotea Alessandra, Franken, Andreas, Geierhofer, Regina, Goldschmidt, Peter G., Juuso, Ilkka, Klimenko, Herman, Kung, Antonio, Laroche, Frederic, Lewelling, Joe, Meyer, Martin, Morozov, Sergey, Orlova, Anna, Panagiotis, Telonis, Penzel, Thomas, Ritz, Derek, Sander, Gaur, Shin, Soo-Yong, Värri, Alpo, Vladzimerskiy, Anton, Lebedev, Georgy, Lim, Chee-Peng, Chen, Yen-Wei, Vaidya, Ashlesha, Mahorkar, Charu, Jain, Lakhmi C., Tampere University, and BioMediTech

Subjects
Standardization, business.industry, Computer science, media_common.quotation_subject, Equity (finance), Legislation, Health informatics, Field (computer science), Health care, Mainstream, Quality (business), Artificial intelligence, 3111 Biomedicine, business, media_common
Abstract

Artificial intelligence (AI) can have a significant positive impact on health and healthcare. AI can be used to improve the quality, efficiency and equity of health care. However, AI has the potential to have significant negative impacts. Therefore, AI medical applications should be designed and deployed in accordance with established guidelines and legislation. There may be gaps or questions in the current regulatory framework related to the interpretation and application of the existing regulatory framework to healthcare applications that include artificial intelligence solutions. Global standardization maintains a consistent approach and can reduce the burden on stakeholders when it comes to establishing regulatory frameworks, interpreting and complying with regulatory requirements. While AI is far from new, it has only recently become mainstream. This chapter outlines the research of the authors who are members of the Hoc Group on Application of AI Technologies in Health Informatics (ISO AHG2 TC215), which was formed by ISO Technical Committee 215 to define goals and directions for standardization in the field of AI in health care. acceptedVersion

Published
2022

2. Assessing data protection and governance in health information systems: a novel methodology of Privacy and Ethics Impact and Performance Assessment (PEIPA)

Author

Di Iorio, Concetta Tania, primary, Carinci, Fabrizio, additional, Oderkirk, Jillian, additional, Smith, David, additional, Siano, Manuela, additional, de Marco, Dorotea Alessandra, additional, de Lusignan, Simon, additional, Hamalainen, Paivi, additional, and Benedetti, Massimo Massi, additional

Published
2020
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3. Assessing data protection and governance in health information systems: a novel methodology of Privacy and Ethics Impact and Performance Assessment (PEIPA)

Author

Di Iorio, Concetta Tania, Carinci, Fabrizio, Oderkirk, Jillian, Smith, David, Siano, Manuela, de Marco, Dorotea Alessandra, de Lusignan, Simon, Hamalainen, Paivi, and Benedetti, Massimo Massi

Abstract

BackgroundData processing of health research databases often requires a Data Protection Impact Assessment to evaluate the severity of the risk and the appropriateness of measures taken to comply with the European Union (EU) General Data Protection Regulation (GDPR). We aimed to define and apply a comprehensive method for the evaluation of privacy, data governance and ethics among research networks involved in the EU Project Bridge Health.MethodsComputerised survey among associated partners of main EU Consortia, using a targeted instrument designed by the principal investigator and progressively refined in collaboration with an international advisory panel. Descriptive measures using the percentage of adoption of privacy, data governance and ethical principles as main endpoints were used for the analysis and interpretation of the results.ResultsA total of 15 centres provided relevant information on the processing of sensitive data from 10 European countries. Major areas of concern were noted for: data linkage (median, range of adoption: 45%, 30%–80%), access and accuracy of personal data (50%, 0%–100%) and anonymisation procedures (56%, 11%–100%). A high variability was noted in the application of privacy principles.ConclusionsA comprehensive methodology of Privacy and Ethics Impact and Performance Assessment was successfully applied at international level. The method can help implementing the GDPR and expanding the scope of Data Protection Impact Assessment, so that the public benefit of the secondary use of health data could be well balanced with the respect of personal privacy.

Published
2021
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