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Data Interoperability in COVID-19 Vaccine Trials: Methodological Approach in the VACCELERATE Project

Data Interoperability in COVID-19 Vaccine Trials: Methodological Approach in the VACCELERATE Project

Interoperability is defined as the ability of different information systems, devices, or applications to connect in a coordinated manner within and across organizational boundaries, enabling stakeholders to access, exchange, and cooperatively use data with the goal of optimizing the health of individuals and populations [1]. Interoperability standards provide a common language and set of expectations that enable interoperability between systems and devices.

Salma Malik, Zoi Pana Dorothea, Christos D Argyropoulos, Sophia Themistocleous, Alan J Macken, Olena Valdenmaiier, Frank Scheckenbach, Elena Bardach, Andrea Pfeiffer, Katherine Loens, Jordi Cano Ochando, Oliver A Cornely, Jacques Demotes-Mainard, Sergio Contrino, Gerd Felder

JMIR Med Inform 2025;13:e65590

Creating a Modified Version of the Cambridge Multimorbidity Score to Predict Mortality in People Older Than 16 Years: Model Development and Validation

Creating a Modified Version of the Cambridge Multimorbidity Score to Predict Mortality in People Older Than 16 Years: Model Development and Validation

Information about their primary care consultations, prescriptions, investigation results, and certified sickness and mortality data are recorded in computerized medical records systems. Each patient has a unique identifier, the NHS number, which allows data linkage with other data sets, including the hospital data, Hospital Episode Statistics, death certificate data provided by the Office for National Statistics and the NHS prescribing data set [30].

Debasish Kar, Kathryn S Taylor, Mark Joy, Sudhir Venkatesan, Wilhelmine Meeraus, Sylvia Taylor, Sneha N Anand, Filipa Ferreira, Gavin Jamie, Xuejuan Fan, Simon de Lusignan

J Med Internet Res 2024;26:e56042

Care Partner Inclusion of People Hospitalized With Alzheimer Disease and Related Dementias: Protocol for a Mixed Methods Systems Engineering Approach to Designing a Health Care System Toolkit

Care Partner Inclusion of People Hospitalized With Alzheimer Disease and Related Dementias: Protocol for a Mixed Methods Systems Engineering Approach to Designing a Health Care System Toolkit

Toolkits, such as A-SHIFT can provide health care systems practical guidance regarding how to systematically include, assess, and train care partners of hospitalized people with ADRD. Further, A-SHIFT will be scalable to health care systems across the United States, providing the foundation for fulfilling the needs of care partners and alleviating their feelings of being unprepared to provide care following discharge.

Beth Fields, Catherine Still, Austin Medlin, Andrea Strayer, Alicia I Arbaje, Andrea Gilmore-Bykovskyi, Nicole Werner

JMIR Res Protoc 2023;12:e45274

Strengthening Routine Data Systems to Track the HIV Epidemic and Guide the Response in Sub-Saharan Africa

Strengthening Routine Data Systems to Track the HIV Epidemic and Guide the Response in Sub-Saharan Africa

These same systems also offer invaluable opportunities for strategic information based on de-duplicated individual-level records to compliment traditional reporting through management information systems in which the data are aggregated at source, and improve national and global estimates. Individual patient data leveraged from multiple systems can provide an important data source for developing a comprehensive strategic HIV information system, such as case surveillance [3,14].

Brian Rice, Andrew Boulle, Stefan Baral, Matthias Egger, Paul Mee, Elizabeth Fearon, Georges Reniers, Jim Todd, Sandra Schwarcz, Sharon Weir, George Rutherford, James Hargreaves

JMIR Public Health Surveill 2018;4(2):e36

Know Your Epidemic, Strengthen Your Response: Developing a New HIV Surveillance Architecture to Guide HIV Resource Allocation and Target Decisions

Know Your Epidemic, Strengthen Your Response: Developing a New HIV Surveillance Architecture to Guide HIV Resource Allocation and Target Decisions

Over four days, discussions focused on recognizing priority gaps in current surveillance systems, identifying the surveillance data needed to monitor achievement of long-term goals such as the 90-90-90 indicators, and consolidating a global surveillance agenda to guide global and national programs.

Brian Rice, Travis Sanchez, Stefan Baral, Paul Mee, Keith Sabin, Jesus M Garcia-Calleja, James Hargreaves

JMIR Public Health Surveill 2018;4(1):e18