ArticleAMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science2015
Data-Mining Electronic Medical Records for Clinical Order Recommendations: Wisdom of the Crowd or Tyranny of the Mob?
Article in AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- OrderRex clinical user testing: a randomized trial of recommender system decision support on simulated cases.Journal of the American Medical Informatics Association : JAMIA · 2020Trial
- Physician Usage and Acceptance of a Machine Learning Recommender System for Simulated Clinical Order Entry.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Adverse Events Due to Insomnia Drugs Reported in a Regulatory Database and Online Patient Reviews: Comparative Study.Journal of medical Internet research · 2019Article
- Neural Networks for Clinical Order Decision Support.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019Article
- Integrating Clinical Knowledge and Real-World Evidence for Type 2 Diabetes Treatment.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Assessing Screening Guidelines for Cardiovascular Disease Risk Factors using Routinely Collected Data.Scientific reports · 2017Article
- Decaying relevance of clinical data towards future decisions in data-driven inpatient clinical order sets.International journal of medical informatics · 2017Article
- Learning Doctors' Medicine Prescription Pattern for Chronic Disease Treatment by Mining Electronic Health Records: A Multi-Task Learning Approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- OrderRex: clinical order decision support and outcome predictions by data-mining electronic medical records.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- DYNAMICALLY EVOLVING CLINICAL PRACTICES AND IMPLICATIONS FOR PREDICTING MEDICAL DECISIONS.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2016Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
Uncertainty and variability is pervasive in medical decision making with insufficient evidence-based medicine and inconsistent implementation where established knowledge exists. Clinical decision support constructs like order sets help distribute expertise, but are constrained by knowledge-based development. We previously produced a data-driven order recommender system to automatically generate clinical decision support content from structured electronic medical record data on >19K hospital patients. We now present the first structured validation of such automatically generated content against an objective external standard by assessing how well the generated recommendations correspond to orders referenced as appropriate in clinical practice guidelines. For example scenarios of chest pain, gastrointestinal hemorrhage, and pneumonia in hospital patients, the automated method identifies guideline reference orders with ROC AUCs (c-statistics) (0.89, 0.95, 0.83) that improve upon statistical prevalence benchmarks (0.76, 0.74, 0.73) and pre-existing human-expert authored order sets (0.81, 0.77, 0.73) (P<10(-30) in all cases). We demonstrate that data-driven, automatically generated clinical decision support content can reproduce and optimize top-down constructs like order sets while largely avoiding inappropriate and irrelevant recommendations. This will be even more important when extrapolating to more typical clinical scenarios where well-defined external standards and decision support do not exist.
Identifiers
26306281PMC4525236W2196201972What 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.