National Healthcare Quality and Disparities Report
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AHRQ Research Studies Date
Topics
- Adverse Drug Events (ADE) (2)
- Adverse Events (2)
- Catheter-Associated Urinary Tract Infection (CAUTI) (1)
- Children/Adolescents (3)
- (-) Clinical Decision Support (CDS) (13)
- Disabilities (1)
- Electronic Health Records (EHRs) (4)
- Electronic Prescribing (E-Prescribing) (1)
- Emergency Department (1)
- Genetics (1)
- Healthcare-Associated Infections (HAIs) (1)
- Health Information Exchange (HIE) (1)
- (-) Health Information Technology (HIT) (13)
- Implementation (1)
- Medical Errors (2)
- Medication (3)
- Newborns/Infants (1)
- Nutrition (1)
- Patient-Centered Healthcare (1)
- Patient-Centered Outcomes Research (1)
- Patient Adherence/Compliance (1)
- Patient Safety (2)
- Prevention (1)
- Primary Care (4)
- Shared Decision Making (3)
- Urinary Tract Infection (UTI) (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 13 of 13 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)
Welch BM, Eilbeck K, Del Fiol G
Technical desiderata for the integration of genomic data with clinical decision support.
The objective of this study is to develop and validate a guiding set of technical desiderata for supporting the clinical use of the whole genome sequence (WGS) through clinical decision support (CDS). A panel of domain experts in genomics and CDS developed a proposed set of seven additional requirements. These additional desiderata provide important guiding principles for the technical development of CDS capabilities for the clinical use of WGS information.
AHRQ-funded; HS018352.
Citation: Welch BM, Eilbeck K, Del Fiol G .
Technical desiderata for the integration of genomic data with clinical decision support.
J Biomed Inform 2014 Oct;51:3-7. doi: 10.1016/j.jbi.2014.05.014..
Keywords: Clinical Decision Support (CDS), Health Information Technology (HIT), Genetics, Electronic Health Records (EHRs), Shared Decision Making
Ranji SR, Rennke S, Wachter RM
Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.
The authors searched AHRQ's Patient Safety Net to identify reviews of the effect of computerised provider order entry (CPOE) combined with clinical decision support systems (CDSS) on adverse drug event (ADE) rates in inpatient and outpatient settings. They found that CPOE+CDSS was consistently reported to reduce prescribing errors, but does not appear to prevent clinical ADEs in either the inpatient or outpatient setting. Implementation of CPOE+CDSS profoundly changes staff workflow, often leading to unintended consequences and new safety issues (such as alert fatigue) which limit the system's safety effects.
AHRQ-funded; 2902007100621.
Citation: Ranji SR, Rennke S, Wachter RM .
Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review.
BMJ Qual Saf 2014 Sep;23(9):773-80. doi: 10.1136/bmjqs-2013-002165.
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Keywords: Adverse Drug Events (ADE), Adverse Events, Medical Errors, Clinical Decision Support (CDS), Health Information Technology (HIT), Medication, Patient Safety
Baillie CA, Epps M, Hanish A
Usability and impact of a computerized clinical decision support intervention designed to reduce urinary catheter utilization and catheter-associated urinary tract infections.
The researchers evaluated the usability and effectiveness of a computerized clinical decision support (CDS) intervention aimed at reducing the duration of urinary tract catheterizations. They found that usability improved to 15% with the revised reminder. The catheter utilization ratio declined over the 3 time periods, as did CAUTIs per 1,000 patient-days. They concluded that the usability of the reminder was highly dependent on its user interface, with a homegrown version of the reminder resulting in higher impact than a stock reminder.
AHRQ-funded; HS016946.
Citation: Baillie CA, Epps M, Hanish A .
Usability and impact of a computerized clinical decision support intervention designed to reduce urinary catheter utilization and catheter-associated urinary tract infections.
Infect Control Hosp Epidemiol 2014 Sep;35(9):1147-55. doi: 10.1086/677630.
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Keywords: Catheter-Associated Urinary Tract Infection (CAUTI), Clinical Decision Support (CDS), Electronic Health Records (EHRs), Health Information Technology (HIT), Healthcare-Associated Infections (HAIs), Patient-Centered Outcomes Research, Urinary Tract Infection (UTI)
Carroll AE, Bauer NS, Dugan TM
Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.
A study to determine whether a computerized clinical decision support system is an effective approach to improve standardized developmental surveillance and screening (DSS) within primary care practices found that use of such a system significantly increased the number of children screened at 9, 18, and 30 months of age. It also increased the number of children who ultimately were diagnosed as having a developmental delay.
AHRQ-funded; HS017939
Citation: Carroll AE, Bauer NS, Dugan TM .
Use of a computerized decision aid for developmental surveillance and screening: a randomized clinical trial.
JAMA Pediatr. 2014 Sep;168(9):815-21. doi: 10.1001/jamapediatrics.2014.464..
Keywords: Health Information Technology (HIT), Clinical Decision Support (CDS), Primary Care, Children/Adolescents
Galanter WL, Bryson ML, Falck S
Indication alerts intercept drug name confusion errors during computerized entry of medication orders.
The authors measured whether indication alerts at the time of computerized physician order entry (CPOE) can intercept drug name confusion errors. They found that indication alerts intercepted 1.4 drug name confusion errors per 1000 alerts and recommended that institutions with CPOE consider using indication prompts to intercept drug name confusion errors.
AHRQ-funded; HS021093.
Citation: Galanter WL, Bryson ML, Falck S .
Indication alerts intercept drug name confusion errors during computerized entry of medication orders.
PLoS One 2014 Jul 15;9(7):e101977. doi: 10.1371/journal.pone.0101977.
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Keywords: Clinical Decision Support (CDS), Adverse Drug Events (ADE), Adverse Events, Medical Errors, Health Information Technology (HIT), Medication, Patient Safety
Bennett WE, Jr., Hendrix KS, Thompson-Fleming RT
Early cow's milk introduction is associated with failed personal-social milestones after 1 year of age.
The researchers used a novel computerized decision support system to gather data from multiple general pediatrics offices.They found an association between the introduction of cow's milk before 1 year of age and the rate of delayed developmental milestones after 1 year of age, adding strength to the recommendations from the AAP and IOM to delay cow's milk introduction until after 1 year of age.
AHRQ-funded; HS017939; HS018453; HS020640.
Citation: Bennett WE, Jr., Hendrix KS, Thompson-Fleming RT .
Early cow's milk introduction is associated with failed personal-social milestones after 1 year of age.
Eur J Pediatr 2014 Jul;173(7):887-92. doi: 10.1007/s00431-014-2265-y.
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Keywords: Clinical Decision Support (CDS), Disabilities, Health Information Technology (HIT), Newborns/Infants, Nutrition
Pevnick JM, Li N, Asch SM
Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence.
The researchers evaluated whether formulary decision support (FDS) could reduce patient medication costs, and thereby improve adherence. In the studied population, interruptive FDS shifted prescribing toward preferred tier medications, but these medications were only minimally less expensive for patients. Thus, FDS did not significantly increase adherence.
AHRQ-funded; HS016391.
Citation: Pevnick JM, Li N, Asch SM .
Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence.
BMC Med Inform Decis Mak 2014;14:79. doi: 10.1186/1472-6947-14-79..
Keywords: Electronic Prescribing (E-Prescribing), Medication, Patient Adherence/Compliance, Clinical Decision Support (CDS), Health Information Technology (HIT)
Nagykaldi ZJ, Yeaman B, Jones M
HIE-i-health information exchange with intelligence.
This article reports on the development and pilot testing of an innovative approach to implement health information exchange with intelligence (HIE-i) in primary care settings. Records of 346 patients were studied in 6 primary care practices. The results suggest that coupling a geographically inclusive set of clinical data with HIE-based clinical decision support for prevention can considerably improve prospective care delivery.
AHRQ-funded; 290200710009I.
Citation: Nagykaldi ZJ, Yeaman B, Jones M .
HIE-i-health information exchange with intelligence.
J Ambul Care Manage 2014 Jan-Mar;37(1):20-31. doi: 10.1097/jac.0000000000000002..
Keywords: Clinical Decision Support (CDS), Health Information Exchange (HIE), Health Information Technology (HIT), Prevention, Primary Care
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care
Bauer NS, Carroll AE, Downs SM
Understanding the acceptability of a computer decision support system in pediatric primary care.
In this study, the investigators examine the attitudes and opinions of pediatric users' toward the Child Health Improvement through Computer Automation (CHICA) system, a computer decision support system linked to an electronic health record in four community pediatric clinics. The investigators found that pediatric users appreciated the system's automation and enhancements that allowed relevant and meaningful clinical data to be accessible at point of care.
AHRQ-funded; HS018453; HS017939.
Citation: Bauer NS, Carroll AE, Downs SM .
Understanding the acceptability of a computer decision support system in pediatric primary care.
J Am Med Inform Assoc 2014 Jan-Feb;21(1):146-53. doi: 10.1136/amiajnl-2013-001851..
Keywords: Children/Adolescents, Clinical Decision Support (CDS), Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT), Primary Care