National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Care Management (1)
- Chronic Conditions (1)
- Communication (1)
- (-) Diabetes (4)
- Diagnostic Safety and Quality (1)
- Education: Patient and Caregiver (1)
- Electronic Health Records (EHRs) (2)
- Eye Disease and Health (1)
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- (-) Health Information Technology (HIT) (4)
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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 4 of 4 Research Studies DisplayedBowen ME, Rumana U, Kilgore EA
A user-centered glucose-insulin data display for the inpatient setting.
Researchers sought to develop a set of user-centered displays of capillary glucose data and insulin dose to improve inpatient management of insulin-dependent diabetes. Their proposed conceptual data display prototype is designed to simplify the presentation and visualization of key information needed for treatment decisions. The goal is also to enhance clinician's ability to identify opportunities to optimize insulin dosing and decrease end users' cognitive load and error rates.
AHRQ-funded; HS022895.
Citation: Bowen ME, Rumana U, Kilgore EA .
A user-centered glucose-insulin data display for the inpatient setting.
Stud Health Technol Inform 2017;245:684-88.
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Keywords: Care Management, Diabetes, Health Information Technology (HIT), Inpatient Care, Patient Safety
Ratanawongsa N, Chan LL, Fouts MM
The challenges of electronic health records and diabetes electronic prescribing: implications for safety net care for diverse populations.
This review highlights how the EHR electronic prescribing transformation has affected diabetes care for vulnerable patients and offers recommendations for improving patient safety through EHR electronic prescribing design, implementation, policy, and research. Specifically, it presents evidence for the adoption of RxNorm and standardized naming and picklist options for high alert medications such as insulin.
AHRQ-funded; HS022561; HS023558.
Citation: Ratanawongsa N, Chan LL, Fouts MM .
The challenges of electronic health records and diabetes electronic prescribing: implications for safety net care for diverse populations.
J Diabetes Res 2017;2017:8983237. doi: 10.1155/2017/8983237.
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Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Vulnerable Populations, Diabetes, Patient Safety, Chronic Conditions
Brown SD, Grijalva CS, Ferrara A
Leveraging EHRs for patient engagement: perspectives on tailored program outreach.
Electronic health records (EHRs) present healthcare delivery systems with scalable, cost-effective opportunities to promote lifestyle programs among patients at high risk for type 2 diabetes, yet little consensus exists on strategies to enhance patient engagement. In this study, the investigators explored patient perspectives on program outreach messages containing content tailored to EHR-derived diabetes risk factors--a theory-driven strategy to increase the persuasiveness of health communications.
AHRQ-funded; HS019367.
Citation: Brown SD, Grijalva CS, Ferrara A .
Leveraging EHRs for patient engagement: perspectives on tailored program outreach.
Am J of Manag Care 2017 Jul;23(7):e223-e30..
Keywords: Diabetes, Communication, Education: Patient and Caregiver, Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare Delivery, Lifestyle Changes, Patient and Family Engagement
Chandakkar PS, Venkatesan R, Li B
MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images.
Computer-aided diagnosis has the potential of improving diabetic retinopathy (DR) screening or diagnosis. The researchers developed a feature space of a modified color correlogram appended with statistics of steerable Gaussian filter responses selected by fast radial symmetric transform points. Experiments with real DR images collected from five different datasets demonstrate that the proposed approach is able to outperform existing methods.
AHRQ-funded; HS019792.
Citation: Chandakkar PS, Venkatesan R, Li B .
MIRank-KNN: multiple-instance retrieval of clinically relevant diabetic retinopathy images.
J Med Imaging 2017 Jul;4(3):034003. doi: 10.1117/1.jmi.4.3.034003.
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Keywords: Diabetes, Imaging, Eye Disease and Health, Health Information Technology (HIT), Diagnostic Safety and Quality