National Healthcare Quality and Disparities Report
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Search All Research Studies
AHRQ Research Studies Date
Topics
- Arthritis (1)
- Care Coordination (1)
- Diabetes (1)
- (-) Electronic Health Records (EHRs) (5)
- Emergency Department (1)
- Health Information Technology (HIT) (4)
- Hospitals (2)
- Medication (2)
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- (-) Outcomes (5)
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- Transitions of Care (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 5 of 5 Research Studies DisplayedWong J, Horwitz MM, Zhou L
Using machine learning to identify health outcomes from electronic health record data.
In this review, the authors discuss four common scenarios that researchers may find helpful for thinking critically about when and for what tasks machine learning may be used to identify health outcomes from electronic health record (EHR) data. The authors suggest that machine learning has great potential to improve the accuracy and efficiency of health outcome identification from EHR systems, especially under certain conditions.
AHRQ-funded; HS022728; HS024264; HS025375.
Citation: Wong J, Horwitz MM, Zhou L .
Using machine learning to identify health outcomes from electronic health record data.
Curr Epidemiol Rep 2018 Dec;5(4):331-42. doi: 10.1007/s40471-018-0165-9..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Outcomes
Flory JH, Keating SJ, Siscovick D
Identifying prevalence and risk factors for metformin non-persistence: a retrospective cohort study using an electronic health record.
Non-persistence may be a significant barrier to the use of metformin. The objective of this study was to assess reasons for metformin non-persistence, and whether initial metformin dosing or use of extended release (ER) formulations affect persistence to metformin therapy. The investigators concluded that their data supported the routine prescribing of low starting doses of metformin as a tool to improve persistence.
AHRQ-funded; HS023898.
Citation: Flory JH, Keating SJ, Siscovick D .
Identifying prevalence and risk factors for metformin non-persistence: a retrospective cohort study using an electronic health record.
BMJ Open 2018 Jul 23;8(7):e021505. doi: 10.1136/bmjopen-2018-021505..
Keywords: Diabetes, Electronic Health Records (EHRs), Health Information Technology (HIT), Medication, Patient Adherence/Compliance, Outcomes, Patient-Centered Outcomes Research, Risk
Austrian JS, Jamin CT, Doty GR
Impact of an emergency department electronic sepsis surveillance system on patient mortality and length of stay.
The goal of this study was to determine if an electronic health record (EHR) based sepsis alert system could improve quality of care and clinical outcomes for patients with sepsis. A patient-level, interrupted time series study of emergency department patients with severe sepsis or septic shock was conducted, with an intervention introduced at the approximate mid-point--a system of interruptive sepsis alerts triggered by abnormal vital signs or laboratory results. Mean length of stay for patients with sepsis decreased significantly following the introduction of the alert, but the alert system had no effect on mortality or other clinical or process measures. The researchers conclude that a more sophisticated algorithm for sepsis identification is needed to improve outcomes.
AHRQ-funded; HS023683.
Citation: Austrian JS, Jamin CT, Doty GR .
Impact of an emergency department electronic sepsis surveillance system on patient mortality and length of stay.
J Am Med Inform Assoc 2018 May;25(5):523-29. doi: 10.1093/jamia/ocx072..
Keywords: Electronic Health Records (EHRs), Emergency Department, Health Information Technology (HIT), Hospitals, Mortality, Outcomes, Quality Improvement, Quality of Care, Sepsis
Yao Y, Ahn H, Stifter J
Continuity index measures in the acute care hospital setting: an analytic review and tests using electronic health record data and computer simulation.
This study examined continuity index measures in the acute care hospital setting. These measures can be used to examine the influence of nurse staffing patterns on patient outcomes. The researchers examined the behavior of continuity indexes as applied to clinical practice data that were collected with the Hands-On Automated Nursing Data System (HANDS) and data from computer simulation. The findings provided a deep understanding of the conceptual foundations and properties of various continuity measures.
AHRQ-funded; HS015054; HS023072.
Citation: Yao Y, Ahn H, Stifter J .
Continuity index measures in the acute care hospital setting: an analytic review and tests using electronic health record data and computer simulation.
J Nurs Meas 2018 Apr 1;26(1):20-35. doi: 10.1891/1061-3749.26.1.20..
Keywords: Transitions of Care, Care Coordination, Electronic Health Records (EHRs), Health Information Technology (HIT), Provider: Nurse, Provider, Hospitals, Outcomes
Yazdany J, Robbins M, Schmajuk G
Development of the American College of Rheumatology's rheumatoid arthritis electronic clinical quality measures.
The researchers sought to develop and test electronic clinical quality measures for rheumatoid arthritis. Disease activity assessment, functional status assessment, disease-modifying antirheumatic durg use, and tuberculosis screening measures have achieved national endorsement and are recommended for use in federal quality reporting programs.
AHRQ-funded; HS024412.
Citation: Yazdany J, Robbins M, Schmajuk G .
Development of the American College of Rheumatology's rheumatoid arthritis electronic clinical quality measures.
Arthritis Care Res 2016 Nov;68(11):1579-90. doi: 10.1002/acr.22984.
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Keywords: Electronic Health Records (EHRs), Medication, Quality Measures, Arthritis, Outcomes