ReviewCurrent diabetes reports2014
Rational use of electronic health records for diabetes population management.
Review in Current diabetes reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic health record-based disease surveillance systems: A systematic literature review on challenges and solutions.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Supporting Practices to Adopt Registry-Based Care (SPARC): protocol for a randomized controlled trial.Implementation science : IS · 2015Trial
- The health data utility and the resurgence of health information exchanges as a national resource.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Developing an automated algorithm for identification of children and adolescents with diabetes using electronic health records from the OneFlorida+ clinical research network.Diabetes, obesity & metabolism · 2025Article
- Implementation and Impact of Intimate Partner Violence Screening Expansion in the Veterans Health Administration: Protocol for a Mixed Methods Evaluation.JMIR research protocols · 2024Article
- Nationwide Implementation of a Population Management Dashboard for Monitoring Direct Oral Anticoagulants: Insights From the Veterans Affairs Health System.Circulation. Cardiovascular quality and outcomes · 2023Article
- A process to deduplicate individuals for regional chronic disease prevalence estimates using a distributed data network of electronic health records.Learning health systems · 2022Article
- LV Prasad Eye Institute EyeSmart electronic medical record-based analytics of big data: LEAD-Uveitis Report 1: Demographics and clinical features of uveitis in a multi-tier hospital based network in Southern India.Indian journal of ophthalmology · 2022Article
- The Longitudinal Epidemiologic Assessment of Diabetes Risk (LEADR): Unique 1.4 M patient Electronic Health Record cohort.Healthcare (Amsterdam, Netherlands) · 2020Article
- Applying population health approaches to improve safe anticoagulant use in the outpatient setting: the DOAC Dashboard multi-cohort implementation evaluation study protocol.Implementation science : IS · 2020Article
- Practical use of electronic health records among patients with diabetes in scientific research.Chinese medical journal · 2020Review
- Big data and the eyeSmart electronic medical record system - An 8-year experience from a three-tier eye care network in India.Indian journal of ophthalmology · 2020Article
- Data collection of patients with diabetes in family medicine: a study in north-eastern Italy.BMC health services research · 2017Article
- [Electronic Medical Record for Prenatal Care of Diabetic Women].Revista brasileira de ginecologia e obstetricia : revista da Federacao Brasileira das Sociedades de Ginecologia e Obstetricia · 2016Article
- Health Systems Approaches to Diabetes Screening and Prevention in Women with a History of Gestational Diabetes.Current diabetes reports · 2015Review
- National Strategies to Decrease the Burden of Diabetes and Its Complications.Current diabetes reports · 2015Review
- Developing a communitywide electronic health record disease registry in primary care practices: lessons learned from the Western new york beacon community.EGEMS (Washington, DC) · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Population management is increasingly invoked as an approach to improve the quality and value of diabetes care. Recent emphasis is driven by increased focus on both costs and measures of care as the US moves from fee for service to payment models in which providers are responsible for costs incurred, and outcomes achieved, for their entire patient population. The capacity of electronic health records (EHRs) to create patient registries, apply analytic tools, and facilitate provider- and patient-level interventions has allowed rapid evolution in the scope of population management initiatives. However, findings on the efficacy of these efforts for diabetes are mixed, and work remains to achieve the full potential of an-EHR based population approach. Here we seek to clarify definitions and key domains, provide an overview of evidence for EHR-based diabetes population management, and recommend future directions for applying the considerable power of EHRs to diabetes care and prevention.
Indexed as
Identifiers
24615333What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.