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UNSTRUCTURED In 2021, Canada Health Infoway and the University of Victoria Gender, Sex, and Sexual Orientation (GSSO) Research Team hosted a series of discussions to successfully and safely modernize GSSO information practices within digital health systems. Five main topic areas were covered: terminology standards, digital health and electronic health record functions, policy and practice implications, primary care settings, and acute and tertiary care settings. We provide priorities for future research and implementation projects and recommendations that emerged from these discussions.

This brief report contains a summary version of the proposed action plan to modernize gender, sex, and sexual orientation (GSSO) information practices in Canadian electronic health record (EHR) systems. The plan was co-created by a research team with guidance from the Infoway Sex and Gender Working Group, organizations and communities involved with sexual and gender minorities (SGM), and those with lived and living experiences as SGM. The plan describes seven high level actions needed to improve the principles, approaches, policies, and processes of defining, collecting, organizing, sharing, and using GSSO information in EHRs.

Anesthesia information management systems (AIMS) are gradually replacing paper documentation of anesthesia care. This study sought to determine the current status of AIMS adoption and the level of health informatics expertise in Canadian academic anesthesia departments. Department heads or their designates of Canadian academic anesthesia departments were invited by e-mail to complete an online survey between September 2019 and February 2020. The survey elicited information on current AIMS or future plans for an AIMS installation, the number of department members dedicated to clinical informatics issues, the gross level of health informatics expertise at each department, perceived advantages of AIMS, and perceived disadvantages of and barriers to implementation of AIMS. Of the 64 departments invited to participate, 63 (98.4%) completed the survey. Only 21 (33.3%) of the departments had AIMS. Of the 42 departments still charting on paper, 23 (54.8%) reported planning to install an AIMS within the next five years. Forty-six departments (73%) had at least one anesthesiologist tasked with dealing with AIMS or electronic health record issues. Most reported having no department members with extensive knowledge or formal training in health informatics. The top three perceived barriers and disadvantages to an AIMS installation were its initial cost, lack of funding, and a lack of technical support dedicated specifically to AIMS. The top three advantages departments wished to prioritize with AIMS were accurate clinical documentation, better data for quality improvement initiatives, and better data for research. A majority of Canadian academic anesthesia departments are still using paper records, but this trend is expected to reverse in the next five years as more departments install an AIMS. Health informatics expertise is lacking in most of the departments, with a minority planning to support the training of future anesthesia informaticians.

A lo largo del tiempo, el cine de ciencia ficción se ha convertido en un repertorio de información contrastable con la realidad. Es por ello, que se presenta el análisis de la película “Virus” de Sung-su Kim, donde el objetivo principal es presentar el filme al lector de manera que este pueda entender las pandemias representadas a través de las películas y compararla con la pandemia de la COVID-19, de una manera objetiva, diferenciando una representación cinematográfica con la realidad. Como elaboración propia se presenta una tabla con las manifestaciones sistémicas de la COVID-19, realizadas con fuentes fidedignas; con esto se pretende la búsqueda de la sensibilización y educación del lector sobre una de las peores pandemias que actualmente estamos atravesando. Se concluye que la información vertida en los filmes relacionada a temas de salud debe ser interpretada de forma adecuada por los espectadores, separando lo real de lo ficticio. Por otro lado, la COVID-19 es una enfermedad que aún está en desarrollo y existe cada vez más evidencia de su compromiso sistémico.

ObjectiveThe lack of precise and inclusive gender, sex, and sexual orientation (GSSO) data in electronic health records (EHRs) is perpetuating inequities of sexual and gender minorities (SGM). We conducted a rapid review on how GSSO documentation in EHRs should be modernized to improve the health of SGM.Materials and MethodsWe searched MEDLINE from 2015 to 2020 with terms for gender, sex, sexual orientation, and electronic health/medical records. Only literature reviews, primary studies, and commentaries from peer-reviewed journals in English were included. Two researchers screened citations and reviewed articles with help from a third to reach consensus. Covidence, Excel, and Atlas-TI were used to track articles, extract data, and synthesize findings, respectively.ResultsThirty-five articles were included. The 5 themes to modernize GSSO documentation in EHRs were (1) creating an inclusive, culturally competent environment with precise terminology and standardized data collection; (2) refining guidelines for identifying and matching SGM patients with their care needs; (3) improving patient-provider relationships by addressing patient rights and provider competencies; (4) recognizing techno-socio-organizational aspects when implementing GSSO in EHRs; and (5) addressing invisibility of SGM by expanding GSSO research.ConclusionsThe literature on GSSO documentation in EHRs is expanding. While this trend is encouraging, there are still knowledge gaps and practical challenges to enabling meaningful changes, such as organizational commitments to ensure affirming environments, and coordinated efforts to address technical, organizational, and social aspects of modernizing GSSO documentation. The adoption of an inclusive EHR to meet SGM needs is a journey that will evolve over time.

Objectives To conceptualize new methods for integrating patient-centered measurement into team-based care. Methods A standalone portal was introduced into a rural clinic to support conceptualization of new methods for integration of patient-centered measurement in team-based care. The portal housed mental health-related online resources, three patient-reported measures and a self-action plan. Six providers and four patients used the portal for four months. Our data collection techniques included clinic discussions, one-on-one interviews, workflow diagrams and data generated through the portal. Analysis was supported through coding interview transcripts, looking across multiple sources of research data and research team discussions. Results Our research team conceptualized five team-based patient-centered measurement methods through this study. Patient-centered measurement Team Mapping offfers a technique to provide greater clarity of care-team roles and responsibilities in data collected through patient-centered measurement. Longitudinal Care Alignment can guide the care-team on incorporating patient-centered measurement into ongoing provider–patient interactions. Digital Tool Exploration can be used to evaluate a team's readiness toward digital tool adoption, and the impact of these tools. Team-based quality improvement serves as a framework for engaging teams in patient-centered quality improvement. Shared learning is a method that promotes patientprovider interactions that validate patient's perspectives of their care. Conclusion The portal illuminated new methods for the integration of patient-centered measurement in team-based care. The first three proposed patient-centered measurement methods provides ways to assess how a clinic can incorporate patient-centered measurement methods into team-based care. The latter two methods focus on the aim of patient-generated data in which patient's values and perspectives are represented and quality of patient-centered care can be evaluated. Further testing is needed to assess the utility of these patient-centered measurement methods across different clinical settings and domains.

BACKGROUND Patient-centered measurement (PCM) aims to improve the overall quality of care through the collection and sharing of patient values, outcomes, and perspectives. However, the use of PCM in care team decisions remains limited. Integrated knowledge translation (IKT) offers a collaborative, adaptive approach to explore best practices for incorporating PCM into primary care practices by involving knowledge users, including patients and providers, in the exploratory process. OBJECTIVE This study aims to test the feasibility of using patient-generated data in team-based care; describe the use of these data for team-based mental health care; and summarize patient and provider care experiences with PCM. METHODS We conducted a multi-method exploratory study in a rural team-based primary care clinic using IKT to co-design, implement, and evaluate the use of PCM in team-based mental health care. Care pathways, workflows, and quality improvement activities were adjusted iteratively to improve integration efforts. Patient and provider experiences were evaluated using individual interviews relating to the use of PCM and patient portals in practice. All meeting notes, interview summaries, and emails were analyzed to create a narrative evaluation. RESULTS During co-design, a care workflow was developed to incorporate electronically collected patient-generated data from the patient portal into the electronic medical record, and customized educational tools and resources were added. During implementation, care pathways and patient workflows for PCM were developed. Patients found portal use easy, educational, and validating, but data entries were not used during care visits. Providers saw the portal as extra work, and the lack of portal and electronic medical record integration was a major barrier. The IKT approach was invaluable for addressing workflow changes and understanding the ongoing barriers to PCM use and quality improvement. CONCLUSIONS Although the culture toward using PCM is changing, the use of PCM during care has not been successful. Patients felt validated and supported through portal use and could be empowered to bring these data to their visits. Training, modeling, and adaptable PCM methods are required before PCM can be integrated into routine care.

Background Patient-centered measurement (PCM) aims to improve the overall quality of care through the collection and sharing of patient values, outcomes, and perspectives. However, the use of PCM in care team decisions remains limited. Integrated knowledge translation (IKT) offers a collaborative, adaptive approach to explore best practices for incorporating PCM into primary care practices by involving knowledge users, including patients and providers, in the exploratory process. Objective This study aims to test the feasibility of using patient-generated data in team-based care; describe the use of these data for team-based mental health care; and summarize patient and provider care experiences with PCM. Methods We conducted a multi-method exploratory study in a rural team-based primary care clinic using IKT to co-design, implement, and evaluate the use of PCM in team-based mental health care. Care pathways, workflows, and quality improvement activities were adjusted iteratively to improve integration efforts. Patient and provider experiences were evaluated using individual interviews relating to the use of PCM and patient portals in practice. All meeting notes, interview summaries, and emails were analyzed to create a narrative evaluation. Results During co-design, a care workflow was developed to incorporate electronically collected patient-generated data from the patient portal into the electronic medical record, and customized educational tools and resources were added. During implementation, care pathways and patient workflows for PCM were developed. Patients found portal use easy, educational, and validating, but data entries were not used during care visits. Providers saw the portal as extra work, and the lack of portal and electronic medical record integration was a major barrier. The IKT approach was invaluable for addressing workflow changes and understanding the ongoing barriers to PCM use and quality improvement. Conclusions Although the culture toward using PCM is changing, the use of PCM during care has not been successful. Patients felt validated and supported through portal use and could be empowered to bring these data to their visits. Training, modeling, and adaptable PCM methods are required before PCM can be integrated into routine care.

This article discusses eHealth evaluation leadership in terms of the need, key characteristics, and means to cultivate this leadership. It is well known that health leaders with technical informatics skills and prior eHealth adoption experience are more likely to commit to a long-term eHealth vision, are highly motivated, and can navigate through complex adoption issues. However, much less attention is paid to leadership when it comes to electronic health evaluation. The aim here is to engage the eHealth and broader health leadership communities in a dialogue about eHealth evaluation leadership in terms of its importance, the issues involved, and ways to build capacity in Canada and abroad.

Objective Our scoping review examined how research on patient portals addresses health equity. Questions guiding our review were: 1) What health equity concepts are addressed in patient portal research—both explicitly and implicitly? 2) What are the gaps? 3) Is the potential for ehealth-related health inequities explicitly acknowledged in studies on patient portals? 4) What novel approaches and interventions to reduce health inequities are tested in patient portal research? Materials and Methods We searched 4 databases. Search terms included “patient portal” in combination with a comprehensive list of health equity terms relevant in ehealth context. Authors independently reviewed the papers during initial screening and full-text review. We applied the eHealth Equity Framework to develop search terms and analyze the included studies. Results Based on eHealth Equity Framework categories, the main findings generated from 65 reviewed papers were governance structures, ehealth policies, and cultural and societal values may further inequities; social position of providers and patients introduces differential preferences in portal use; equitable portal implementation can be supported through diverse user-centered design; and intermediary strategies are typically recommended to encourage portal use across populations. Discussion The predominant focus on barriers in portal use may be inadvertently placing individual responsibility in addressing these barriers on patients already experiencing the greatest health disparities. This approach may mask the impact of the socio-technical-economic-political context on outcomes for different populations. Conclusion To support equitable health outcomes related to patient portals we need to look beyond intermediary initiatives and develop equitable strategies across policy, practice, research, and implementation.

Historically, the terms sex and gender have been used interchangeably as a binary attribute to describe a person as male or female, even though there is growing recognition that sex and gender are distinct concepts. The lack of sex and gender delineation in electronic health records (EHRs) may be perpetuating the inequities experienced by the transgender and gender nonbinary (TGNB) populations.This study aims to conduct an environmental scan to understand how sex and gender are defined and implemented in existing Canadian EHRs and current international health information standards.We examined public information sources on sex and gender definitions in existing Canadian EHRs and international standards communities. Definitions refer to data element names, code systems, and value sets in the descriptions of EHRs and standards. The study was built on an earlier environment scan by Canada Health Infoway, supplemented with sex and gender definitions from international standards communities. For the analysis, we examined the definitions for clarity, consistency, and accuracy. We also received feedback from a virtual community interested in sex-gender EHR issues.The information sources consisted of public website descriptions of 52 databases and 55 data standards from 12 Canadian entities and 10 standards communities. There are variations in the definition and implementation of sex and gender in Canadian EHRs and international health information standards. There is a lack of clarity in some sex and gender concepts. There is inconsistency in the data element names, code systems, and value sets used to represent sex and gender concepts across EHRs. The appropriateness and adequacy of some value options are questioned as our societal understanding of sexual health evolves. Outdated value options raise concerns about current EHRs supporting the provision of culturally competent, safe, and affirmative health care. The limited options also perpetuate the inequities faced by the TGNB populations. The expanded sex and gender definitions from leading Canadian organizations and international standards communities have brought challenges in how to migrate these definitions into existing EHRs. We proposed 6 high-level actions, which are to articulate the need for this work, reach consensus on sex and gender concepts, reach consensus on expanded sex and gender definitions in EHRs, develop a coordinated action plan, embrace EHR change from socio-organizational and technical aspects to ensure success, and demonstrate the benefits in tangible terms.There are variations in sex and gender concepts across Canadian EHRs and the health information standards that support them. Although there are efforts to modernize sex and gender concept definitions, we need decisive and coordinated actions to ensure clarity, consistency, and competency in the definition and implementation of sex and gender concepts in EHRs. This work has implications for addressing the inequities of TGNB populations in Canada.

UNSTRUCTURED Historically, the terms sex and gender have been used interchangeably as a binary attribute to describe a person as male or female, even though there is growing recognition that sex and gender are distinct concepts. The lack of sex and gender delineation in electronic health records (EHRs) may be perpetuating the inequities experienced by the transgender and gender nonbinary (TGNB) populations. This study aims to conduct an environmental scan to understand how sex and gender are defined and implemented in existing Canadian EHRs and current international health information standards. We examined public information sources on sex and gender definitions in existing Canadian EHRs and international standards communities. Definitions refer to data element names, code systems, and value sets in the descriptions of EHRs and standards. The study was built on an earlier environment scan by Canada Health Infoway, supplemented with sex and gender definitions from international standards communities. For the analysis, we examined the definitions for clarity, consistency, and accuracy. We also received feedback from a virtual community interested in sex-gender EHR issues. The information sources consisted of public website descriptions of 52 databases and 55 data standards from 12 Canadian entities and 10 standards communities. There are variations in the definition and implementation of sex and gender in Canadian EHRs and international health information standards. There is a lack of clarity in some sex and gender concepts. There is inconsistency in the data element names, code systems, and value sets used to represent sex and gender concepts across EHRs. The appropriateness and adequacy of some value options are questioned as our societal understanding of sexual health evolves. Outdated value options raise concerns about current EHRs supporting the provision of culturally competent, safe, and affirmative health care. The limited options also perpetuate the inequities faced by the TGNB populations. The expanded sex and gender definitions from leading Canadian organizations and international standards communities have brought challenges in how to migrate these definitions into existing EHRs. We proposed 6 high-level actions, which are to articulate the need for this work, reach consensus on sex and gender concepts, reach consensus on expanded sex and gender definitions in EHRs, develop a coordinated action plan, embrace EHR change from socio-organizational and technical aspects to ensure success, and demonstrate the benefits in tangible terms. There are variations in sex and gender concepts across Canadian EHRs and the health information standards that support them. Although there are efforts to modernize sex and gender concept definitions, we need decisive and coordinated actions to ensure clarity, consistency, and competency in the definition and implementation of sex and gender concepts in EHRs. This work has implications for addressing the inequities of TGNB populations in Canada.

Most digital health systems (DHS) are unable to capture gender, sex, and sexual orientation (GSSO) data beyond a single binary attribute with female and male options. This binary system discourages access to preventative screening and gender-affirming care for sexual and gender minority (SGM) people. We conducted this 1-year multi-method project and cocreated an action plan to modernize GSSO information practices in Canadian DHS. The proposed actions are to: (1) Envisage an equity- and SGM-oriented health system; (2) Engage communities and organizations to modernize GSSO information practices in DHS; (3) Establish an inclusive GSSO terminology; (4) Enable DHS to collect, use, exchange, and reuse standardized GSSO data; (5) Integrate GSSO data collection and use within organizations; (6) Educate staff to provide culturally competent care and inform patients on the need for GSSO data; and (7) Establish a central hub to coordinate efforts.

Background Historically, the terms sex and gender have been used interchangeably as a binary attribute to describe a person as male or female, even though there is growing recognition that sex and gender are distinct concepts. The lack of sex and gender delineation in electronic health records (EHRs) may be perpetuating the inequities experienced by the transgender and gender nonbinary (TGNB) populations. Objective This study aims to conduct an environmental scan to understand how sex and gender are defined and implemented in existing Canadian EHRs and current international health information standards. Methods We examined public information sources on sex and gender definitions in existing Canadian EHRs and international standards communities. Definitions refer to data element names, code systems, and value sets in the descriptions of EHRs and standards. The study was built on an earlier environment scan by Canada Health Infoway, supplemented with sex and gender definitions from international standards communities. For the analysis, we examined the definitions for clarity, consistency, and accuracy. We also received feedback from a virtual community interested in sex-gender EHR issues. Results The information sources consisted of public website descriptions of 52 databases and 55 data standards from 12 Canadian entities and 10 standards communities. There are variations in the definition and implementation of sex and gender in Canadian EHRs and international health information standards. There is a lack of clarity in some sex and gender concepts. There is inconsistency in the data element names, code systems, and value sets used to represent sex and gender concepts across EHRs. The appropriateness and adequacy of some value options are questioned as our societal understanding of sexual health evolves. Outdated value options raise concerns about current EHRs supporting the provision of culturally competent, safe, and affirmative health care. The limited options also perpetuate the inequities faced by the TGNB populations. The expanded sex and gender definitions from leading Canadian organizations and international standards communities have brought challenges in how to migrate these definitions into existing EHRs. We proposed 6 high-level actions, which are to articulate the need for this work, reach consensus on sex and gender concepts, reach consensus on expanded sex and gender definitions in EHRs, develop a coordinated action plan, embrace EHR change from socio-organizational and technical aspects to ensure success, and demonstrate the benefits in tangible terms. Conclusions There are variations in sex and gender concepts across Canadian EHRs and the health information standards that support them. Although there are efforts to modernize sex and gender concept definitions, we need decisive and coordinated actions to ensure clarity, consistency, and competency in the definition and implementation of sex and gender concepts in EHRs. This work has implications for addressing the inequities of TGNB populations in Canada.

Anesthesia information management systems (AIMS) are gradually replacing paper documentation of anesthesia care. This study sought to determine the current status of AIMS adoption and the level of health informatics expertise in Canadian academic anesthesia departments.Department heads or their designates of Canadian academic anesthesia departments were invited by e-mail to complete an online survey between September 2019 and February 2020. The survey elicited information on current AIMS or future plans for an AIMS installation, the number of department members dedicated to clinical informatics issues, the gross level of health informatics expertise at each department, perceived advantages of AIMS, and perceived disadvantages of and barriers to implementation of AIMS.Of the 64 departments invited to participate, 63 (98.4%) completed the survey. Only 21 (33.3%) of the departments had AIMS. Of the 42 departments still charting on paper, 23 (54.8%) reported planning to install an AIMS within the next five years. Forty-six departments (73%) had at least one anesthesiologist tasked with dealing with AIMS or electronic health record issues. Most reported having no department members with extensive knowledge or formal training in health informatics. The top three perceived barriers and disadvantages to an AIMS installation were its initial cost, lack of funding, and a lack of technical support dedicated specifically to AIMS. The top three advantages departments wished to prioritize with AIMS were accurate clinical documentation, better data for quality improvement initiatives, and better data for research.A majority of Canadian academic anesthesia departments are still using paper records, but this trend is expected to reverse in the next five years as more departments install an AIMS. Health informatics expertise is lacking in most of the departments, with a minority planning to support the training of future anesthesia informaticians.RéSUMé: OBJECTIF : Les systèmes de gestion de l’information en anesthésie (SGIA) remplacent progressivement la documentation sur papier des soins anesthésiques. Cette étude a tenté de déterminer l’état actuel de l’adoption des SGIA et le niveau d’expertise en informatique de la santé dans les départements universitaires d’anesthésie canadiens. MéTHODE : Les chefs de département ou des responsables désignés des départements universitaires d’anesthésie canadiens ont été invités par courriel à remplir un sondage électronique entre les mois de septembre 2019 et février 2020. L’enquête a permis d’obtenir de l’information sur les SGIA actuels ou les plans futurs d’implantation d’un SGIA, le nombre de membres du département en charge des questions d’informatique clinique, le niveau brut d’expertise en informatique de la santé dans chaque département, les avantages perçus des SGIA, et les inconvénients perçus ainsi que les obstacles à la mise en œuvre des SGIA. RéSULTATS : Sur les 64 départements invités à participer, 63 (98,4 %) ont rempli le sondage. Seuls 21 (33,3 %) départements disposaient d’un SGIA. Sur les 42 départements utilisant encore des dossiers papier, 23 (54,8 %) ont déclaré avoir l’intention d’installer un SGIA au cours des cinq prochaines années. Quarante-six départements (73 %) comptaient au moins un anesthésiologiste chargé de gérer les problèmes liés au SGIA ou aux dossiers médicaux électroniques. La plupart des départements ont déclaré ne pas compter, parmi leurs membres, de personne possédant des connaissances approfondies ou une formation officielle en informatique de la santé. Les trois principaux obstacles et inconvénients perçus à la mise en oeuvre d’un SGIA étaient son coût initial, le manque de financement et un manque de soutien technique dédié spécifiquement aux SGIA. Les trois principaux avantages que les départements souhaitaient prioriser avec un SGIA étaient une documentation clinique exacte, de meilleures données pour les initiatives d’amélioration de la qualité et de meilleures données pour la recherche. CONCLUSION : La majorité des départements universitaires d’anesthésie canadiens utilisent toujours des dossiers papier, mais cette tendance devrait s’inverser au cours des cinq prochaines années, au fur et à mesure qu’un plus grand nombre de départements installeront des SGIA. L’expertise en informatique de la santé fait défaut dans la plupart des départements, et une minorité des départements a l’intention de soutenir la formation des futurs informaticiens en anesthésie.

BACKGROUND Historically, the terms sex and gender have been used interchangeably as a binary attribute to describe a person as male or female, even though there is growing recognition that sex and gender are distinct concepts. The lack of sex and gender delineation in electronic health records (EHRs) may be perpetuating the inequities experienced by the transgender and gender nonbinary (TGNB) populations. OBJECTIVE This study aims to conduct an environmental scan to understand how sex and gender are defined and implemented in existing Canadian EHRs and current international health information standards. METHODS We examined public information sources on sex and gender definitions in existing Canadian EHRs and international standards communities. Definitions refer to data element names, code systems, and value sets in the descriptions of EHRs and standards. The study was built on an earlier environment scan by Canada Health Infoway, supplemented with sex and gender definitions from international standards communities. For the analysis, we examined the definitions for clarity, consistency, and accuracy. We also received feedback from a virtual community interested in sex-gender EHR issues. RESULTS The information sources consisted of public website descriptions of 52 databases and 55 data standards from 12 Canadian entities and 10 standards communities. There are variations in the definition and implementation of sex and gender in Canadian EHRs and international health information standards. There is a lack of clarity in some sex and gender concepts. There is inconsistency in the data element names, code systems, and value sets used to represent sex and gender concepts across EHRs. The appropriateness and adequacy of some value options are questioned as our societal understanding of sexual health evolves. Outdated value options raise concerns about current EHRs supporting the provision of culturally competent, safe, and affirmative health care. The limited options also perpetuate the inequities faced by the TGNB populations. The expanded sex and gender definitions from leading Canadian organizations and international standards communities have brought challenges in how to migrate these definitions into existing EHRs. We proposed 6 high-level actions, which are to articulate the need for this work, reach consensus on sex and gender concepts, reach consensus on expanded sex and gender definitions in EHRs, develop a coordinated action plan, embrace EHR change from socio-organizational and technical aspects to ensure success, and demonstrate the benefits in tangible terms. CONCLUSIONS There are variations in sex and gender concepts across Canadian EHRs and the health information standards that support them. Although there are efforts to modernize sex and gender concept definitions, we need decisive and coordinated actions to ensure clarity, consistency, and competency in the definition and implementation of sex and gender concepts in EHRs. This work has implications for addressing the inequities of TGNB populations in Canada.

A concatenated code with designed markers is proposed to detect and correct both synchronization and substitution errors. The inner decoder is effective in maintaining synchronization at codeword boundaries with the help of designed markers. The outer conventional error correcting code is used to provide adequate error correcting capability. The frame error rate (FER) of the concatenated code is both analyzed theoretically and simulated. The performance and complexity of our code is also compared with Davey Mackay (DM) watermark code over channels with substitution, deletion and insertion errors. The concatenated code we propose can correct multiple substitution and synchronization errors with much lower complexity and simpler decoding algorithm. Simulation and theoretical analysis show that the performance of our code at rate 0.50 can perform much better than that of watermark code at code rate 0.71. Great reduction in decoding complexity has been realized at the expense of code rate loss.

Barcode medication administration (BCMA) technology has been challenging for mental health nurses to incorporate into their clinical practice despite the potentially positive benefits of using the technology for improving patient safety. A review of the literature identified a number of practices that nurses can use to improve adoption of the technology, however, these practices have been primarily used in non-mental health contexts. Therefore, the purpose of this study was to understand mental health nurses' perceptions of practices identified from the literature to improve BCMA adoption in a mental health inpatient setting. Using a qualitative descriptive approach, ten (n = 10) interviews were conducted with direct care mental health nurses working at a mental health and addiction academic teaching hospital in Canada. Data analysis consisted of a conventional content analysis of the interview transcripts by two independent coders. The following five themes emerged from the transcripts: 1) safety, 2) clinical workflow, 3) education, 4) accountability, and 5) strategies. Sub-themes were also identified within the themes of safety and clinical workflow. Insights gleaned from this study warrant acknowledgement and consideration when implementing strategies to increase BCMA compliance within mental health contexts.

IntroductionOver the last two decades, patient portals have emerged as a noticeable eHealth strategy. To date, research on patient portals has been rapidly increasing. Our umbrella review aims to provide a meta-level synthesis to make sense of the evidence on patient portals from published systematic reviews (SRs).MethodsWe will employ a modified version of the Joanna Briggs Institute umbrella review method. The search strategy encompasses multiple databases. The inclusion criterion is specific to SRs focused on patient portal. Patients or public were not involved in this work.AnalysisTwo researchers will independently screen titles/abstracts and then full-text articles against the inclusion/exclusion criteria. Methodological quality of included reviews will be assessed and data will be extracted from the final selection of reviews. These reviews will be categorised into quantitative, qualitative and/or mixed-synthesis groups based on information about the design of primary studies provided in the reviews. Correspondingly, we will create quantitative, qualitative and/or mixed-synthesis Excel data-extraction tables. Within each table, data will be extracted with the reference to primary studies as reported in the reviews, and will be synthesised into themes and then a smaller number of findings/outcomes. Modified Grading of Recommendations Assessment, Development and Evaluation (GRADE) and Confidence in the Evidence from Reviews of Qualitative research (CERQual) tools will be applied to assess the strength of evidence at the level of each finding/outcome. The output of our umbrella review will consist of summary of findings tables and evidence profile tables. A narrative meta-level synthesis will be provided. We will use the clinical adoption meta-model as an organising framework.Ethics and disseminationAs an outcome of this review, we will create a guidance and roadmap to be used in a future Delphi study to gather feedback from Canadian eHealth stakeholders. We will also present at conferences and publish the final report. The umbrella review does not require ethical approval.PROSPERO registration numberCRD42018096657.

Objectives: Single, program wide multi-site prospective study examining the (1) accuracy of non-cancer clinician prediction survival (CPS) by palliative practitioners on 1st assessment. (2) Factors affecting CPS; (3) potential impact on clinical care.Design and methods: Single, program wide multi-site prospective study (n = 282). CPS was divided into four clinically relevant time periods (≤2 weeks, >2 to ≤6 weeks, >6 to ≤12 weeks, and >12 weeks). Multivariate analysis was done on six predictor variables.Results: More than ½ of patients died before their clinically relevant predicted time periods (of more than 2 weeks). Only one out of the six predictor variables impacted on clinician accuracy on logistic regression and that being the survival prediction time periods.Conclusion: Non-cancer CPS, even by palliative practitioners, remains overly optimistic. This raises the question in that these individuals may have been potentially over-treated.

Background Patient portals have emerged as a recognized digital health strategy. To date, research on patient portals has grown rapidly. However, there has been limited evaluation of the growing body of evidence on portal availability, use, clinical or health behavior and outcomes, and portal adoption over time. Objective This paper aims to comprehensively consolidate the current state of evidence on patient portals using the umbrella review methodology, introduce our approach for evaluating evidence for quantitative and qualitative findings presented in included systematic reviews, and present a knowledge translation tool that can be used to inform all stages of patient portal adoption. Methods For this study, a modified version of the Joanna Briggs Institute umbrella review method was used. Multiple databases were searched for systematic reviews focused on patient portals, and the final sample included 14 reviews. We conducted a meta-level synthesis of findings from quantitative, qualitative, and mixed methods primary studies reported in systematic reviews. We organized the umbrella review findings according to the Clinical Adoption Meta-Model (CAMM). Vote-counting, GRADE (Grading of Recommendations, Assessment, Development, and Evaluations), and CERQual (Confidence in the Evidence from Review of Qualitative Research) were used to assess the umbrella review evidence. Results Our knowledge translation tool summarizes the findings in the form of an evidence map. Organized by the CAMM categories, the map describes the following factors that influence portal adoption and effects over time: patient contexts, patient's interest and satisfaction, portal design, facilitators and barriers, providers' attitudes, service utilization, behavioral effects, clinical outcomes, and patient-reported outcomes. The map lists the theories and mechanisms recognized in the included portal research while identifying the need for business models and organizational theories that can inform all stages of portal adoption. Our GRADE and CERQual umbrella review evaluation resulted in the majority of evidence being rated as moderate to low, which reflects methodological issues in portal research, insufficient number of studies, or mixed results in specific focus areas. The 2 findings with a high rating of evidence were patients' interest in using portals for communication and the importance of a simple display of information in the portals. Over 40 portal features were identified in the umbrella review, with communication through secure messaging and appointment booking mentioned in all systematic reviews. Conclusions Our umbrella review provides a meta-level synthesis to make sense of the evidence on patient portals from published systematic reviews. Unsystematic and variable reporting of portal features undermines the ability to evaluate and compare portal effects and overlooks the specific context of portal use. Research designs sensitive to the social, organizational, policy, and temporal dimensions are needed to better understand the underlying mechanisms and context that leverage the identified factors to improve portal use and effects.

Background Information in Electronic Health Records is largely stored as unstructured free text. Natural language processing (NLP), or Medical Language Processing (MLP) in medicine, aims at extracting structured information from free text, and is less expensive and time-consuming than manual extraction. However, most algorithms in MLP are institution-specific or address only one clinical need, and thus cannot be broadly applied. In addition, most MLP systems do not detect concepts in misspelled text and cannot detect attribute relationships between concepts. The objective of this study was to develop and evaluate an MLP application that includes generic algorithms for the detection of (misspelled) concepts and of attribute relationships between them. Methods An implementation of the MLP system cTAKES, called DIRECT, was developed with generic SNOMED CT concept filter, concept relationship detection, and attribute relationship detection algorithms and a custom dictionary. Four implementations of cTAKES were evaluated by comparing 98 manually annotated oncology charts with the output of DIRECT. The F1-score was determined for named-entity recognition and attribute relationship detection for the concepts ‘lung cancer’, ‘non-small cell lung cancer’, and ‘recurrence’. The performance of the four implementations was compared with a two-tailed permutation test. Results DIRECT detected lung cancer and non-small cell lung cancer concepts with F1-scores between 0.828 and 0.947 and between 0.862 and 0.933, respectively. The concept recurrence was detected with a significantly higher F1-score of 0.921, compared to the other implementations, and the relationship between recurrence and lung cancer with an F1-score of 0.857. The precision of the detection of lung cancer, non-small cell lung cancer, and recurrence concepts were 1.000, 0.966, and 0.879, compared to precisions of 0.943, 0.967, and 0.000 in the original implementation, respectively. Conclusion DIRECT can detect oncology concepts and attribute relationships with high precision and can detect recurrence with significant increase in F1-score, compared to the original implementation of cTAKES, due to the usage of a custom dictionary and a generic concept relationship detection algorithm. These concepts and relationships can be used to encode clinical narratives, and can thus substantially reduce manual chart abstraction efforts, saving time for clinicians and researchers.

Multi-state models are useful for modelling disease progression where the state space of the process is used to represent the discrete disease status of subjects. Often, the disease process is only observed at clinical visits, and the schedule of these visits can depend on the disease status of patients. In such situations, the frequency and timing of observations may depend on transition times that are themselves unobserved in an interval-censored setting. There is a potential for bias if we model a disease process with informative observation times as a non-informative observation scheme with pre-specified examination times. In this paper, we develop a joint model for the disease and observation processes to ensure valid inference because the follow-up process may itself contain information about the disease process. The transitions for each subject are modelled using a Markov process, where bivariate subject-specific random effects are used to link the disease and observation models. Inference is based on a Bayesian framework, and we apply our joint model to the analysis of a large study examining functional decline trajectories of palliative care patients.

Transaction costs, liquidity effects, capital limits, and regulatory restrictions reduce arbitrage efficiency and weaken the link between futures prices and their underlying stocks. This study examines how the sampling frequency for return calculation affects the intraday correlation and the lead–lag relationship between the Hong Kong Hang Seng Index futures, the underlying cash index, an exchange-traded fund (ETF) that mimics the index, and each component stock. The paper uses firm bid and offer quotes to eliminate the negative bias in measuring the correlation between the futures and the less liquid stocks. The sampling frequency significantly affects the futures-stock dynamic relationship, particularly for small-cap stocks. The overall results indicate that market participants trade ETF and the largest index's constituent stocks to capitalize on index arbitrage opportunities. The lag of the cash index is greatest against futures price movement, a reflection of the adverse impact of stale prices on the informational role of stock indexes. © 2015 Wiley Periodicals, Inc. Jrl Fut Mark 35:939–952, 2015

This study evaluated a web-based, view-only electronic health record (EHR) system implemented to support information sharing across organizational boundaries and disparate clinical information systems. The system was implemented in 2009. This study was completed in 2013 to evaluate adoption, user satisfaction and impact to patient care. The majority of users agreed the system improves information sharing and continuity of care. System use has increased significantly each year, with the majority of users satisfied with the information available. Unfortunately, system security access issues have hindered adoption and reduced user satisfaction. Users also reported low workflow integration and having to use multiple systems as concerns.

Objective The aim of this paper is to report on the use of the systematised nomenclature of medicine clinical terms (SNOMED CT) by providing an overview of published papers. Methods Published papers on SNOMED CT between 2001 and 2012 were identified using PubMed and Embase databases using the keywords 'systematised nomenclature of medicine' and 'SNOMED CT'. For each paper the following characteristics were retrieved: SNOMED CT focus category (ie, indeterminate, theoretical, pre-development/design, implementation and evaluation/commodity), usage category (eg, prospective content coverage, used to classify or code in a study), medical domain and country. Results Our search strategy identified 488 papers. A comparison between the papers published between 2001-6 and 2007-12 showed an increase in every SNOMED CT focus category. The number of papers classified as 'theoretical' increased from 46 to 78, 'pre-development/design' increased from 61 to 173 and 'implementation' increased from 10 to 34. Papers classified as 'evaluation/commodity' only started to appear from 2010. Conclusions The majority of studies focused on 'theoretical' and 'pre-development/design'. This is still encouraging as SNOMED CT is being harmonized with other standardized terminologies and is being evaluated to determine the content coverage of local terms, which is usually one of the first steps towards adoption. Most implementations are not published in the scientific literature, requiring a look beyond the scientific literature to gain insights into SNOMED CT implementations