Improving Quality by Maintaining Accurate Problems in the EHR

Completed · Not applicable

Conditions studied: Asthma, Atrial Fibrillation, Chronic Obstructive Pulmonary Disease, Coronary Artery Disease, Congestive Heart Failure, Hyperlipidemia, Hypertension, Myocardial Infarction, Sickle Cell Disease, Sleep Apnea, Smoking, Stroke, Tuberculosis

In brief

The overall goal of the IQ-MAPLE project is to improve the quality of care provided to patients with several heart, lung and blood conditions by facilitating more accurate and complete problem list documentation. In the first aim, the investigators will design and validate a series of problem inference algorithms, using rule-based techniques on structured data in the electronic health record (EHR) and natural language processing on unstructured data. Both of these techniques will yield candidate problems that the patient is likely to have, and the results will be integrated. In Aim 2, the investigators will design clinical decision support interventions in the EHRs of the four study sites to alert physicians when a candidate problem is detected that is missing from the patient's problem list - the clinician will then be able to accept the alert and add the problem, override the alert, or ignore it entirely. In Aim 3, the investigators will conduct a randomized trial and evaluate the effect of the problem list alert on three endpoints: alert acceptance, problem list addition rate and clinical quality.

Key facts

Study ID
NCT02596087
Run by
Brigham and Women's Hospital
People needed
2386
Starts
2016-04-01
Last updated by the study team
2023-02-08

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

Where it is running

Full record on ClinicalTrials.gov

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