JMIR Aging - Search

View query in Help articles search

Field

e.g. mhealth

Operator

Field

Criteria

e.g. John Smith or 0000-0001-6479-5330

Exact Match for Criteria

Yes No

Search Results (1 to 7 of 7 Results)

Download search results: CSV END BibTex RIS

Sort by:

Opt-In and Opt-Out Consent Procedures for the Reuse of Routinely Recorded Health Data in Scientific Research and Their Consequences for Consent Rate and Consent Bias: Systematic Review

Both a lawful basis for processing, as stated in Article 6(1) of the GDPR, and a special category condition for processing in compliance with Article 9(2) of the GDPR are necessary [8]. In general, consent is the starting point when processing special category data, and consent in the sense of the GDPR must meet a range of requirements: it must be specific, freely given, informed, and unambiguous [8].

Yvonne de Man, Yvonne Wieland-Jorna, Bart Torensma, Koos de Wit, Anneke L Francke, Mariska G Oosterveld-Vlug, Robert A Verheij

J Med Internet Res 2023;25:e42131

Download Citation: END BibTex RIS

Download PDF Download XML

Setting up a Governance Framework for Secondary Use of Routine Health Data in Nursing Homes: Development Study Using Qualitative Interviews

Trust in the appropriate and responsible reuse of data plays a pivotal role in determining whether permission is given to reuse the data. Developing and implementing a data governance framework are crucial for enhancing trust [10,11]. An adequate governance framework can be regarded as one of the several pillars of trust. In this study, we define a “data governance framework” as a set of rules and regulations determining who can use the data, for what purposes, and under which conditions.

Yvonne Wieland-Jorna, Robert A Verheij, Anneke L Francke, Marit Tomassen, Max Houtzager, Karlijn J Joling, Mariska G Oosterveld-Vlug

J Med Internet Res 2023;25:e38929

Download Citation: END BibTex RIS

Download PDF Download XML

Impact of a Machine Learning–Based Decision Support System for Urinary Tract Infections: Prospective Observational Study in 36 Primary Care Practices

Pacmed, a Dutch organization developing and implementing ML-based decision support in health care, developed, together with the consortium that conducted this research, a CDSS to aid GPs with the treatment choice for patients with a UTI. On the basis of the EHR data from UTI observations in the Nivel Primary Care Database, ML-based classifiers were constructed to estimate the probability of success of the 8 antibiotics commonly used for an individual patient with a UTI.

Willem Ernst Herter, Janine Khuc, Giovanni Cinà, Bart J Knottnerus, Mattijs E Numans, Maryse A Wiewel, Tobias N Bonten, Daan P de Bruin, Thamar van Esch, Niels H Chavannes, Robert A Verheij

JMIR Med Inform 2022;10(5):e27795

Download Citation: END BibTex RIS

Download PDF Download XML

Electronic Health Record–Triggered Research Infrastructure Combining Real-world Electronic Health Record Data and Patient-Reported Outcomes to Detect Benefits, Risks, and Impact of Medication: Development Study

Moreover, in countries where primary care has a gatekeeper function, patients’ primary care EHR holds a complete record of morbidity and medication of a defined list of patients (most gatekeeping systems are also list systems, where general practitioner [GP] practices have a defined list of patients that they are supposed to care for), and thus, it provides an excellent opportunity to assess the benefit-risk balance of medication when complemented with PROs.

Karin Hek, Leàn Rolfes, Eugène P van Puijenbroek, Linda E Flinterman, Saskia Vorstenbosch, Liset van Dijk, Robert A Verheij

JMIR Med Inform 2022;10(3):e33250

Download Citation: END BibTex RIS

Download PDF Download XML

Estimating Morbidity Rates Based on Routine Electronic Health Records in Primary Care: Observational Study

Many European countries, including the Netherlands and the United Kingdom, already have a long history of using EHRs of GPs as a data source for morbidity estimates [1,2,4-6]. The extent to which EHRs of GPs are a valid data source to assess the health status of the general population depends on how primary care is organized in a country.

Mark MJ Nielen, Inge Spronk, Rodrigo Davids, Joke C Korevaar, René Poos, Nancy Hoeymans, Wim Opstelten, Marianne AB van der Sande, Marion CJ Biermans, Francois G Schellevis, Robert A Verheij

JMIR Med Inform 2019;7(3):e11929

Download Citation: END BibTex RIS

Download PDF Download XML

Possible Sources of Bias in Primary Care Electronic Health Record Data Use and Reuse

These developments provide a foundation for using routine EHRs in support of a “learning health system” (LHS) [21,22]. An LHS is a system in which knowledge generation and reapplication is a natural product of the health care delivery process and leads to continuous improvement in outcomes and institutional performance [23].

Robert A Verheij, Vasa Curcin, Brendan C Delaney, Mark M McGilchrist

J Med Internet Res 2018;20(5):e185

Download Citation: END BibTex RIS

Download PDF Download XML