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Search All Research Studies
Topics
- Adverse Events (1)
- Ambulatory Care and Surgery (1)
- Clinical Decision Support (CDS) (1)
- Data (1)
- Electronic Health Records (EHRs) (1)
- Health Information Exchange (HIE) (1)
- (-) Health Information Technology (HIT) (3)
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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 3 of 3 Research Studies DisplayedDixon BE, Zhang Z, Amo JN
Improving notifiable disease case reporting through electronic information exchange-facilitated decision support: a controlled before-and-after trial.
This study examined the results of implementing an electronic, prepopulated notifiable disease report form on case reporting rates by ambulatory care clinics to public health authorities. They conducted a 2-year controlled before-and-after trial of a health information exchange (HIE) in Indiana. Data was analyzed from electronic prepopulated reports and paper and fax reports submitted to a local health department for 7 conditions by using a difference-in-differences model. Provider reporting rates for chlamydia and gonorrhea increased significantly during the baseline period. During the intervention period they decreased significantly in control clinics. Completion and timeliness improved for both intervention and control clinics.
AHRQ-funded; HS020909.
Citation: Dixon BE, Zhang Z, Amo JN .
Improving notifiable disease case reporting through electronic information exchange-facilitated decision support: a controlled before-and-after trial.
Public Health Rep 2020 May/Jun;135(3):401-10. doi: 10.1177/0033354920914318..
Keywords: Health Information Exchange (HIE), Health Information Technology (HIT), Electronic Health Records (EHRs), Public Health, Public Reporting, Ambulatory Care and Surgery
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
Vawdrey DK, Natarajan K, Kanter AS
Informatics lessons from using a novel immunization information system.
This paper describes the informatics challenges and lessons learned during nearly 15 years of collecting, using, and exchanging electronic immunization information. The authors report on their experience with developing and using the EzVac system for 1) clinical care, both in local and global settings, 2) public health reporting, 3) consumer engagement, and 4) clinical and informatics research.
AHRQ-funded; HS018158.
Citation: Vawdrey DK, Natarajan K, Kanter AS .
Informatics lessons from using a novel immunization information system.
Stud Health Technol Inform 2013;192:589-93..
Keywords: Health Information Technology (HIT), Registries, Public Reporting, Vaccination