National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (1)
- Adverse Events (1)
- (-) Clinical Decision Support (CDS) (4)
- Data (1)
- Diagnostic Safety and Quality (1)
- Digestive Disease and Health (1)
- Electronic Health Records (EHRs) (2)
- Health Information Technology (HIT) (2)
- Medical Errors (1)
- Medication (2)
- (-) Patient Safety (4)
- Public Reporting (1)
AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedAlmario CV, Chey WD, Iriana S
Computer versus physician identification of gastrointestinal alarm features.
This study's objective was to compare the number of alarms documented by physicians during usual care vs. that collected by a computer algorithm called Automated Evaluation of Gastrointestinal Symptoms (AEGIS). AEGIS identified more patients with positive alarm features compared to physicians and also documented more positive alarms. Moreover, clinicians documented only 30% of the positive alarms self-reported by patients through AEGIS.
AHRQ-funded; HS000046.
Citation: Almario CV, Chey WD, Iriana S .
Computer versus physician identification of gastrointestinal alarm features.
Int J Med Inform 2015 Dec;84(12):1111-7. doi: 10.1016/j.ijmedinf.2015.07.006.
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Keywords: Clinical Decision Support (CDS), Diagnostic Safety and Quality, Digestive Disease and Health, Electronic Health Records (EHRs), Patient Safety
Liang C, Gong Y
Enhancing patient safety event reporting by K-nearest neighbor classifier.
The debate on structured or unstructured data entry reveals not only a trade-off problem among data accuracy, completeness, and timeliness, but also a technical gap on text mining. The reesarchers suggested a text classification method for predicting subject categories. Their results demonstrated the feasibility of their system and indicated the advantage of such an application to raise data quality and clinical decision support in reporting patient safety events.
AHRQ-funded; HS022895.
Citation: Liang C, Gong Y .
Enhancing patient safety event reporting by K-nearest neighbor classifier.
Stud Health Technol Inform 2015;218:40603.
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Keywords: Adverse Events, Medical Errors, Patient Safety, Public Reporting, Clinical Decision Support (CDS), Health Information Technology (HIT), Data
Overby CL, Devine EB, Abernethy N
Making pharmacogenomic-based prescribing alerts more effective: a scenario-based pilot study with physicians.
This pilot study explored the communication effectiveness and clinical impact of using a prototype clinical decision support (CDS) system embedded in an electronic health record (EHR) to deliver pharmacogenomic (PGx) information to physicians. The proportion of physicians that saw a relative advantage to using PGx-CDS was 83 percent at the start and 94 percent at the conclusion of our study.
AHRQ-funded; HS014739.
Citation: Overby CL, Devine EB, Abernethy N .
Making pharmacogenomic-based prescribing alerts more effective: a scenario-based pilot study with physicians.
J Biomed Inform 2015 Jun;55:249-59. doi: 10.1016/j.jbi.2015.04.011..
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Patient Safety
Moss J, Berner ES
Evaluating clinical decision support tools for medication administration safety in a simulated environment.
This study aimed to develop a methodology and tools for the design of clinical decision support systems to decrease the incidence of medication administration errors. Nurses’ evaluation of the medication administration decision support tools as well as their actual performance revealed a tendency to underestimate their need for support. Their preferences were for decision support that was short, color coded, and easily accessed.
AHRQ-funded; HS016660.
Citation: Moss J, Berner ES .
Evaluating clinical decision support tools for medication administration safety in a simulated environment.
Int J Med Inform 2015 May;84(5):308-18. doi: 10.1016/j.ijmedinf.2015.01.018..
Keywords: Patient Safety, Clinical Decision Support (CDS), Medication, Adverse Drug Events (ADE)