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AHRQ Research Studies Date
Topics
- Blood Pressure (1)
- (-) Clinical Decision Support (CDS) (7)
- Communication (1)
- Comparative Effectiveness (1)
- Electronic Health Records (EHRs) (1)
- Electronic Prescribing (E-Prescribing) (1)
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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 7 of 7 Research Studies DisplayedSalwei ME, Hoonakker P, Carayon P
Usability of a human factors-based clinical decision support in the emergency department: lessons learned for design and implementation.
A human-centered design process was followed to assess the usability and adoption of human factors (HF)-based clinical decision support (CDS) in the emergency department (ED). A CDS was developed to aid in pulmonary embolism (PE) diagnosis, showing high usability in testing. However, despite positive perceptions, actual CDS usage remained low due to integration issues with clinician workflow. The findings highlight the need for ongoing refinement of CDS design to align with clinical workflows and enhance usability.
AHRQ-funded; HS026395; HS024558; HS022086. NIH 142099
Citation: Salwei ME, Hoonakker P, Carayon P .
Usability of a human factors-based clinical decision support in the emergency department: lessons learned for design and implementation.
Hum Factors 2024 Mar; 66(3):647-57. doi: 10.1177/00187208221078625.
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Emergency Department, Implementation
Dullabh P, Leaphart D, Dhopeshwarkar R
Patient-centered clinical decision support-where are we and where to next?
This paper is a literature review of the current state of patient-centered clinical decision support (PC CDS) that includes digital health tools that support patients, caregivers, and care teams in healthcare decisions that incorporate patient-centered factors related to four components: knowledge, data, delivery, and use. It explores the current state of each factor and how each factor promotes patient-centeredness in healthcare. The authors reviewed 175 peer-reviewed and grey literature, and eighteen key informant interviews. They found there is a need for more research on how to incorporate patient input into the guideline selection and prioritization for PC CDS, development and implementation of PC CDS tools, technical challenges for capturing patient contributed data, and optimizing PC CDS across various settings to meet patient and caregiver needs.
AHRQ-funded; 233201500023I.
Citation: Dullabh P, Leaphart D, Dhopeshwarkar R .
Patient-centered clinical decision support-where are we and where to next?
Stud Health Technol Inform 2024 Jan 25; 310:444-48. doi: 10.3233/shti231004..
Keywords: Patient-Centered Healthcare, Clinical Decision Support (CDS), Health Information Technology (HIT)
Hekman DJ, Barton HJ, Maru AP
Dashboarding to monitor machine-learning-based clinical decision support interventions.
This case report described the creation of a dashboard that allowed the intervention development team and operational stakeholders to identify potential issues that may require corrective action by bridging the monitoring gap between model outputs and patient outcomes. The authors proposed that monitoring machine-learning-based clinical decision support (ML-CDS) algorithms with regular dashboards that allow both context-level views of the system and drilled down views of specific components is a critical part of implementing these algorithms to ensure that these tools function appropriately within the broader care system.
AHRQ-funded; HS027735.
Citation: Hekman DJ, Barton HJ, Maru AP .
Dashboarding to monitor machine-learning-based clinical decision support interventions.
Appl Clin Inform 2024 Jan; 15(1):164-69. doi: 10.1055/a-2219-5175.
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT)
Falck S, Adimadhyam S, Meltzer DO
A trial of indication based prescribing of antihypertensive medications during computerized order entry to improve problem list documentation.
The authors measured the accuracy and completeness of electronic problem list additions using indication-based prescribing of antihypertensives. They found that clinical decision support using indication-based prescribing of antihypertensives produced accurate problem placement roughly two-thirds of the time with fewer than 5% inaccurate problems placed; performance of alerts was sensitive to the number of potential indications of the medication and attendings vs. other clinicians prescribing.
AHRQ-funded; HS016967.
Citation: Falck S, Adimadhyam S, Meltzer DO .
A trial of indication based prescribing of antihypertensive medications during computerized order entry to improve problem list documentation.
Int J Med Inform 2013 Oct;82(10):996-1003. doi: 10.1016/j.ijmedinf.2013.07.003.
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Keywords: Blood Pressure, Medication, Clinical Decision Support (CDS), Electronic Prescribing (E-Prescribing), Health Information Technology (HIT)
Del Fiol G, Curtis C, Cimino JJ
Disseminating context-specific access to online knowledge resources within electronic health record systems.
This paper describes OpenInfobutton (www.openinfobutton.org): a standards-based, open source Web service that was designed to disseminate infobutton capabilities in multiple electronic health record systems and healthcare organizations. Included in this overview are the OpenInfobutton architecture, knowledge resource integration, and experiences at five large healthcare organizations.
AHRQ-funded; HS018352.
Citation: Del Fiol G, Curtis C, Cimino JJ .
Disseminating context-specific access to online knowledge resources within electronic health record systems.
Stud Health Technol Inform 2013;192:672-6..
Keywords: Clinical Decision Support (CDS), Communication, Electronic Health Records (EHRs), Health Information Technology (HIT), Web-Based
Lobach DF, Kawamoto K, Anstrom KJ
A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.
This study tested the impact of 3 clinical decision support modalities (emails to care managers, printed reports to clinic administrators, and letters to patients) on the use and cost of medical services for Medicaid patients. It found that some modalities can significantly reduce emergency department use and medical costs, while other interventions may have had detrimental consequences.
AHRQ-funded; HS015057
Citation: Lobach DF, Kawamoto K, Anstrom KJ .
A randomized trial of population-based clinical decision support to manage health and resource use for Medicaid beneficiaries.
J Med Syst. 2013 Feb;37(1):9922. doi: 10.1007/s10916-012-9922-3..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Medicaid, Emergency Medical Services (EMS), Quality of Care
Zhang M, Del Fiol G, Grout RW
Automatic identification of comparative effectiveness research from Medline citations to support clinicians' treatment information needs.
The goal of this study was to design and assess an algorithm for automatically identifying comparative effectiveness studies on the treatment of a given condition and extracting the interventions investigated in these studies. A total of 86% of the interventions extracted perfectly or partially matched the gold standard. The researchers concluded that, overall, the algorithm achieved reasonable performance.
AHRQ-funded; HS018352.
Citation: Zhang M, Del Fiol G, Grout RW .
Automatic identification of comparative effectiveness research from Medline citations to support clinicians' treatment information needs.
Stud Health Technol Inform 2013;192:846-50..
Keywords: Comparative Effectiveness, Evidence-Based Practice, Clinical Decision Support (CDS)