Electronic health records to facilitate clinical research
By M. Cowie, J. Blomster, L. Curtis, Sylvie Duclaux, Ian Ford, F. Fritz, Samantha Goldman, Salim Janmohamed, J. Kreuzer, Mark Leenay and 8 more. Clinical Research in Cardiology, 2016
579 citations recorded by the source corpus.
Electronic health records (EHRs) provide opportunities to enhance patient care, embed performance measures in clinical practice, and facilitate clinical research. Concerns have been raised about the increasing recruitment challenges in trials, burdensome and obtrusive data collection, and uncertain generalizability of the results. Leveraging electronic health records to counterbalance these trends is an area of intense interest. The initial applications of electronic health records, as the primary data source is envisioned for observational studies, embedded pragmatic or post-marketing registry-based randomized studies, or comparative effectiveness studies. Advancing this approach to randomized clinical trials, electronic health records may potentially be used to assess study feasibility, to facilitate patient recruitment, and streamline data collection at baseline and follow-up. Ensuring data security and privacy, overcoming the challenges associated with linking diverse systems and maintaining infrastructure for repeat use of high quality data, are some of the challenges associated with using electronic health records in clinical research. Collaboration between academia, industry, regulatory bodies, policy makers, patients, and electronic health record vendors is critical for the greater use of electronic health records in clinical research. This manuscript identifies the key steps required to advance the role of electronic health records in cardiovascular clinical research.
Subfields: Health Informatics, Health Information Management, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/82a14a9ae45dc2917764a090ce0231a68c5d2842
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Citations in the corpus
- A Deep Deterministic Policy Gradient Approach to Medication Dosing and Surveillance in the ICU (2018, background): “The prospect of learning optimal dosing protocols from retrospective clinical data is particularly intriguing in a time when 90% of health providers now store detailed electronics medical records [5], allowing algorithmic approaches to leverage heterogeneity in both dosing behavior, and patient char”
- Natural Language Processing in Electronic Health Records in relation to healthcare decision-making: A systematic review (2023, background): “Electronic Health Records (EHRs), which are automated compilations of health care activities and assessments, are increasingly prevalent and essential for healthcare provision, administration, and research [1].”