National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (2)
- Adverse Events (5)
- Clinical Decision Support (CDS) (1)
- Communication (1)
- Data (1)
- Diagnostic Safety and Quality (1)
- Electronic Health Records (EHRs) (2)
- (-) Health Information Technology (HIT) (7)
- (-) Medical Errors (7)
- Medication (2)
- Opioids (1)
- Patient Safety (7)
- Primary Care: Models of Care (1)
- Public Reporting (1)
- Quality Measures (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 7 of 7 Research Studies DisplayedLiang 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
Liang C, Gong Y
On building an ontological knowledge base for managing patient safety events.
The authors developed a semantic web ontology based on the WHO International Classification for Patient Safety (ICPS) and AHRQ Common Formats for patient safety event reporting. The ontology holds potential in enhancing knowledge management and information retrieval, as well as providing flexible data entry and case analysis. They detailed their efforts in data acquisition, transformation, implementation and initial evaluation of the ontology.
AHRQ-funded; HS022895.
Citation: Liang C, Gong Y .
On building an ontological knowledge base for managing patient safety events.
Stud Health Technol Inform 2015;216:202-6.
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Keywords: Adverse Events, Medical Errors, Patient Safety, Electronic Health Records (EHRs), Health Information Technology (HIT)
Senathirajah Y
Safer design - composable EHRs and mechanisms for safety.
In this paper, the author discussed how the different drag/drop interaction paradigm has implications for health IT safety via several mechanisms. These mechanisms included display fragmentation and the need to changeably prioritize information elements, interruptions, fit to tasks and contexts, and rapid changeability allowing low-cost readjustments when lack of fit is found.
AHRQ-funded; HS023708.
Citation: Senathirajah Y .
Safer design - composable EHRs and mechanisms for safety.
Stud Health Technol Inform 2015;218:40602.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Medical Errors, Primary Care: Models of Care, Patient Safety
Manojlovich M, Adler-Milstein J, Harrod M
The effect of health information technology on health care provider communication: a mixed-method protocol.
The purpose of this study is to describe, in detail, how health information and communication technologies facilitate or hinder communication between nurses and physicians. It seeks to (1) identify the range of health information and communication technologies used in a national sample of medical-surgical acute care units, and (2) describe communication practices and work relationships that may be influenced by health information and communication technologies in these same settings.
AHRQ-funded; HS022305.
Citation: Manojlovich M, Adler-Milstein J, Harrod M .
The effect of health information technology on health care provider communication: a mixed-method protocol.
JMIR Res Protoc 2015 Jun 11;4(2):e72. doi: 10.2196/resprot.4463..
Keywords: Adverse Events, Communication, Health Information Technology (HIT), Patient Safety, Medical Errors
Nuckols TK, Smith-Spangler C, Morton SC
The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis.
The primary objective of this systematic review and meta-analysis study was to quantitatively assess the effectiveness of computerized provider order entry (CPOE) at reducing preventable adverse drug events (pADE). It found that CPOE is associated with cutting in half the number of pADEs. Medication errors were also about half as common with CPOE.
AHRQ-funded; HS017954
Citation: Nuckols TK, Smith-Spangler C, Morton SC .
The effectiveness of computerized order entry at reducing preventable adverse drug events and medication errors in hospital settings: a systematic review and meta-analysis.
Syst Rev. 2014 Jun 4;3:56. doi: 10.1186/2046-4053-3-56..
Keywords: Health Information Technology (HIT), Adverse Drug Events (ADE), Adverse Events, Medical Errors, Medication, Patient Safety
Singh H, Sittig DF
Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.
The authors developed a multifaceted framework to advance the science of measuring diagnostic errors (The Safer Dx framework). They described how their framework serves as a conceptual foundation for system-wide safety measurement, monitoring, and improvement of diagnostic error. They posited that the Safer Dx framework can be used by a variety of stakeholders including researchers, clinicians, health care organizations, and policymakers, to stimulate both retrospective and more proactive measurement of diagnostic errors.
AHRQ-funded; HS022087.
Citation: Singh H, Sittig DF .
Advancing the science of measurement of diagnostic errors in healthcare: the Safer Dx framework.
BMJ Qual Saf 2015 Feb;24(2):103-10. doi: 10.1136/bmjqs-2014-003675.
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Keywords: Diagnostic Safety and Quality, Health Information Technology (HIT), Medical Errors, Patient Safety, Quality Measures
Topaz M, Seger DL, Lai K
High override rate for opioid drug-allergy interaction alerts: current trends and recommendations for future.
This paper examined trends in drug-allergy interaction (DAI) alert overrides for opioid medications - the most commonly triggered alerts in the computerized provider order entry (CPOE). Allergic reactions included a high proportion of non-immune mediated opioid reactions. The DAI alert override rate was high for immune-mediated and life-threatening reactions. Exact allergy-medication matches were overridden less frequently compared to non-exact matches within allergy groups.
AHRQ-funded; HS022728.
Citation: Topaz M, Seger DL, Lai K .
High override rate for opioid drug-allergy interaction alerts: current trends and recommendations for future.
Stud Health Technol Inform 2015;216:242-6.
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Keywords: Opioids, Adverse Drug Events (ADE), Adverse Events, Health Information Technology (HIT), Medication, Patient Safety, Medical Errors