ReviewJournal of diabetes science and technology2015
Electronic health records and the evolution of diabetes care: a narrative review.
Review in Journal of diabetes science and technology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Impact of digital integrated health platforms on diabetes management: evidence from Tianjin, China.BMC health services research · 2025Article
- Digital Health Technology in Diabetes Management in the Asia-Pacific Region: A Narrative Review of the Current Scenario and Future Outlook.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2025Review
- A Data Mining Approach on Polypharmacy and Drug-drug Interactions of Common Diabetes Medications.Current drug metabolism · 2025Review
- Do electronic health records used by primary care practices support recommended alcohol-related care?JAMIA open · 2024Article
- How Do Hospitals Organize Diabetes Services? A Comparative Study.International journal of preventive medicine · 2023Review
- Small Practices, Big (QI) Dreams: Customizing Quality Improvement (QI) Efforts for Under-Resourced Primary Care Practices to Improve Diabetes Disparities.JMIR diabetes · 2022Article
- Harnessing Digital Health Technologies to Remotely Manage Diabetic Foot Syndrome: A Narrative Review.Medicina (Kaunas, Lithuania) · 2021Review
- Comparison of Two Electronic Systems for Obtaining Diabetes Care Indicators in Clinical Practice.Clinical diabetes : a publication of the American Diabetes Association · 2021Article
- A Decision Support System for Diabetes Chronic Care Models Based on General Practitioner Engagement and EHR Data Sharing.IEEE journal of translational engineering in health and medicine · 2020Article
- Article
- Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications.Journal of diabetes science and technology · 2018Article
- The management of chronic osteoarticular pain in the outpatient setting: results of an ASON audit.JointsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Adoption of electronic health records (EHRs) has increased dramatically since the 2009 implementation of the Health Information Technology for Economic and Clinical Health (HITECH) Act. The latest data from the Centers for Disease Control and Prevention (CDC) indicate that the majority of U.S. hospitals and nearly half of U.S. health care professionals have implemented an EHR with advanced functionality.(1) The goals of the HITECH act were not only to incentivize the adoption of EHRs, but also to increase the quality, safety, and efficiency of health care by promoting the concept of "meaningful use."(2,3) The stepwise implementation of "meaningful use" is now entering the latter stages with a focus on improving patient outcomes.(4).
Indexed as
Identifiers
What 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.