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Search All Research Studies
AHRQ Research Studies Date
Topics
- Adverse Events (1)
- Case Study (1)
- Centers for Education and Research on Therapeutics (CERTs) (1)
- Clinical Decision Support (CDS) (2)
- Communication (1)
- Critical Care (1)
- Diabetes (1)
- Diagnostic Safety and Quality (1)
- Digestive Disease and Health (1)
- Education: Continuing Medical Education (1)
- (-) Electronic Health Records (EHRs) (12)
- Electronic Prescribing (E-Prescribing) (1)
- Health Information Technology (HIT) (7)
- Intensive Care Unit (ICU) (1)
- Medical Errors (2)
- Medication (2)
- Nursing (2)
- (-) Patient Safety (12)
- Primary Care (1)
- Primary Care: Models of Care (1)
- Shared Decision Making (2)
- Training (2)
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 12 of 12 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
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)
Mohan V, Scholl G, Gold JA
Intelligent simulation model to facilitate EHR training.
The authors proposed Six Principles that are EHR-agnostic and provide the framework for the development of an intelligent simulation model that can optimize EHR training by replicating real-world clinical conditions and appropriate cognitive loads.
AHRQ-funded; HS021637.
Citation: Mohan V, Scholl G, Gold JA .
Intelligent simulation model to facilitate EHR training.
AMIA Annu Symp Proc 2015 Nov 5;2015:925-32.
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Keywords: Education: Continuing Medical Education, Health Information Technology (HIT), Patient Safety, Training, Electronic Health Records (EHRs)
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
Abbott AA, Fuji KT, Galt KA
A qualitative case study exploring nurse engagement with electronic health records and e-prescribing.
The purpose of this qualitative case study was to describe how nurses adapt to using an electronic health record with electronic prescribing (e-Rx) system in a rural ambulatory care practice. Findings showed that nurses adjust their routine in response to providers' preferential behavior yet retained focus on the patient and care coordination. e-Rx adoption increased workload and introduced safety risks.
AHRQ-funded; HS018625.
Citation: Abbott AA, Fuji KT, Galt KA .
A qualitative case study exploring nurse engagement with electronic health records and e-prescribing.
West J Nurs Res 2015 Jul;37(7):935-51. doi: 10.1177/0193945914567359.
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Keywords: Case Study, Electronic Health Records (EHRs), Electronic Prescribing (E-Prescribing), Nursing, Patient Safety
Carrington JM, Gephart SM, Verran JA
Development of an instrument to measure the unintended consequences of EHRs.
The authors examined the creation and design of an instrument measuring unintended consequences of electronic health records. They suggested that other researchers will find their methods article informative for similar undertakings.
AHRQ-funded; HS022908.
Citation: Carrington JM, Gephart SM, Verran JA .
Development of an instrument to measure the unintended consequences of EHRs.
West J Nurs Res 2015 Jul;37(7):842-58. doi: 10.1177/0193945915576083.
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Keywords: Communication, Shared Decision Making, Electronic Health Records (EHRs), Nursing, Patient Safety
Dalal AK, Pesterev BM, Eibensteiner K
Linking acknowledgement to action: closing the loop on non-urgent, clinically significant test results in the electronic health record.
This study measured use of an acknowledgment tool by 146 primary care physicians (PCPs) at 13 network-affiliated practices that use the same EHR. It then surveyed PCPs to assess use of, satisfaction with, and desired enhancements to the acknowledgment tool. Most (64 percent) were satisfied with the tool. Both satisfied and nonsatisfied PCPs reported that enhancements linking acknowledgment to routine actions would be useful.
AHRQ-funded; HS019603.
Citation: Dalal AK, Pesterev BM, Eibensteiner K .
Linking acknowledgement to action: closing the loop on non-urgent, clinically significant test results in the electronic health record.
J Am Med Inform Assoc 2015 Jul;22(4):905-8. doi: 10.1093/jamia/ocv007..
Keywords: Patient Safety, Electronic Health Records (EHRs), Primary Care, Health Information Technology (HIT)
Lai KH, Topaz M, Goss FR
Automated misspelling detection and correction in clinical free-text records.
This paper describes the development of a spelling correction system for medical text. The spell checker is based on Shannon’s noisy channel model, and uses an extensive dictionary compiled from many sources. It achieved detection performance of up to 94.4 percent and correction accuracy of up to 88.2 percent, showing that high-performance spelling correction is possible on a variety of clinical documents.
AHRQ-funded; HS022728.
Citation: Lai KH, Topaz M, Goss FR .
Automated misspelling detection and correction in clinical free-text records.
J Biomed Inform 2015 Jun;55:188-95. doi: 10.1016/j.jbi.2015.04.008..
Keywords: Electronic Health Records (EHRs), Health Information Technology (HIT), Patient Safety
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
Harrison AM, Thongprayoon C, Kashyap R
Developing the surveillance algorithm for detection of failure to recognize and treat severe sepsis.
The objective of this study was to advance, test, and refine a detection and alert system (“sniffer”) for delays in recognition and treatment of severe sepsis that could be used in the critical care setting. They found that a sepsis sniffer (essentially an automated surveillance algorithm) was able to correctly identify delay in recognition and treatment of severe sepsis.
AHRQ-funded; HS022799.
Citation: Harrison AM, Thongprayoon C, Kashyap R .
Developing the surveillance algorithm for detection of failure to recognize and treat severe sepsis.
Mayo Clin Proc 2015 Feb;90(2):166-75. doi: 10.1016/j.mayocp.2014.11.014..
Keywords: Patient Safety, Electronic Health Records (EHRs), Critical Care, Health Information Technology (HIT)
Przytula K, Bailey SC, Galanter WL
A primary care, electronic health record-based strategy to promote safe drug use: study protocol for a randomized controlled trial.
The researchers designed a health literacy-informed, electronic health record based strategy for promoting safe and effective prescription medication use among English and Spanish-speaking patients with diabetes mellitus. This paper provides an overview of their intervention, summarizes evaluation activities, and discusses the sustainability and potential dissemination of their novel strategy.
AHRQ-funded; HS021093.
Citation: Przytula K, Bailey SC, Galanter WL .
A primary care, electronic health record-based strategy to promote safe drug use: study protocol for a randomized controlled trial.
Trials 2015 Jan 27;16:17. doi: 10.1186/s13063-014-0524-x..
Keywords: Centers for Education and Research on Therapeutics (CERTs), Electronic Health Records (EHRs), Diabetes, Medication, Patient Safety
Gold JA, Tutsch AS, Gorsuch A
Integrating the electronic health record into high-fidelity interprofessional intensive care unit simulations.
The authors described the impact of integrating the electronic health record (EHR) into high-fidelity, interprofessional intensive care unit (ICU) simulations, and the errors induced. They found a number of safety issues directly related to the EHR, and they now have an infrastructure to focus educational initiative and deploy informatics solutions to mitigate these safety issues.
AHRQ-funded; HS021637.
Citation: Gold JA, Tutsch AS, Gorsuch A .
Integrating the electronic health record into high-fidelity interprofessional intensive care unit simulations.
J Interprof Care 2015;29(6):562-3. doi: 10.3109/13561820.2015.1063482.
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Keywords: Shared Decision Making, Electronic Health Records (EHRs), Intensive Care Unit (ICU), Patient Safety, Training