National Healthcare Quality and Disparities Report
Latest available findings on quality of and access to health care
Data
- Data Infographics
- Data Visualizations
- Data Tools
- Data Innovations
- All-Payer Claims Database
- Healthcare Cost and Utilization Project (HCUP)
- Medical Expenditure Panel Survey (MEPS)
- AHRQ Quality Indicator Tools for Data Analytics
- State Snapshots
- United States Health Information Knowledgebase (USHIK)
- Data Sources Available from AHRQ
Search All Research Studies
AHRQ Research Studies Date
Topics
- Asthma (1)
- Children/Adolescents (1)
- Clinical Decision Support (CDS) (2)
- Comparative Effectiveness (1)
- Electronic Health Records (EHRs) (2)
- Genetics (1)
- (-) Health Information Technology (HIT) (7)
- Medication (2)
- Patient Safety (1)
- Pregnancy (1)
- (-) Shared Decision Making (7)
- Transplantation (1)
- Web-Based (1)
- Women (1)
- Workflow (1)
AHRQ Research Studies
Sign up: AHRQ Research Studies Email updates
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 DisplayedWright A, Sittig DF, Ash JS
Lessons learned from implementing service-oriented clinical decision support at four sites: a qualitative study.
This study identified challenges, lessons learned and best practices for service-oriented clinical decision support, based on the results of the Clinical Decision Support Consortium, a multi-site study which developed, implemented and evaluated clinical decision support services in a diverse range of electronic health records. Based on the challenges and lessons learned, there were eight best practices for developers and implementers of service-oriented clinical decision support.
AHRQ-funded; 290200810010.
Citation: Wright A, Sittig DF, Ash JS .
Lessons learned from implementing service-oriented clinical decision support at four sites: a qualitative study.
Int J Med Inform 2015 Nov;84(11):901-11. doi: 10.1016/j.ijmedinf.2015.08.008.
.
.
Keywords: Clinical Decision Support (CDS), Electronic Health Records (EHRs), Shared Decision Making, Health Information Technology (HIT)
Fumo DE, Kapoor V, Reece LJ
Historical matching strategies in kidney paired donation: the 7-year evolution of a web-based virtual matching system.
Failure to convert computer-identified possible kidney paired donation (KPD) exchanges into transplants has prohibited KPD from reaching its full potential. This study analyzes the progress of exchanges in moving from "offers" to completed transplants. The "offer" and 1-way success rates were 21.9 and 15.5 percent, respectively. Three reasons for failure were found that could be prospectively prevented by changes in protocol or software.
AHRQ-funded; HS020610.
Citation: Fumo DE, Kapoor V, Reece LJ .
Historical matching strategies in kidney paired donation: the 7-year evolution of a web-based virtual matching system.
Am J Transplant 2015 Oct;15(10):2646-54. doi: 10.1111/ajt.13337.
.
.
Keywords: Health Information Technology (HIT), Transplantation, Shared Decision Making, Clinical Decision Support (CDS)
Shorten A, Fagerlin A, Illuzzi J
Developing an Internet-based decision aid for women choosing between vaginal birth after cesarean and planned repeat cesarean.
This article is part of a series that address midwifery innovations in clinical practice, education, interprofessional collaboration, health policy, and global health. The authors outlined a framework and process used to create an Internet-based decision aid about birth choices after previous cesarean. They transformed a paper-based decision aid into a secure, interactive Web site to meet the diverse needs of women and providers.
AHRQ-funded; HS022114.
Citation: Shorten A, Fagerlin A, Illuzzi J .
Developing an Internet-based decision aid for women choosing between vaginal birth after cesarean and planned repeat cesarean.
J Midwifery Womens Health 2015 Jul-Aug;60(4):390-400. doi: 10.1111/jmwh.12298.
.
.
Keywords: Shared Decision Making, Health Information Technology (HIT), Pregnancy, Web-Based, Women
Fiks AG, Mayne SL, Karavite DJ
Parent-reported outcomes of a shared decision-making portal in asthma: a practice-based RCT.
This study evaluated the feasibility, acceptability, and impact of MyAsthma, an EHR-linked patient portal supporting shared decision-making for pediatric asthma. It found that parents of children with moderate to severe persistent asthma used the portal more than others; 92 percent were satisfied with MyAsthma. Parents reported that use improved their communication with the office, ability to manage asthma, and awareness of the importance of ongoing attention to treatment.
AHRQ-funded; HS021645.
Citation: Fiks AG, Mayne SL, Karavite DJ .
Parent-reported outcomes of a shared decision-making portal in asthma: a practice-based RCT.
Pediatrics 2015 Apr;135(4):e965-73. doi: 10.1542/peds.2014-3167..
Keywords: Asthma, Children/Adolescents, Shared Decision Making, Electronic Health Records (EHRs), Health Information Technology (HIT)
Burgess JF, Jones EA, Morgan JR
Capsule commentary on Tannenbaum et al., nudging physician prescription decisions by partitioning the order set: results of a vignette-based study.
Users of computerized provider order entry (CPOE)s employ a variety of “shortcuts” to increase efficiency and reduce search costs. The authors comment on a study suggesting that new ordering could be a shortcut for signaling which choices are “common or appropriate”. They argue that future research on inappropriate use should grapple directly with when and why providers employ shortcuts.
AHRQ-funded; HS022242.
Citation: Burgess JF, Jones EA, Morgan JR .
Capsule commentary on Tannenbaum et al., nudging physician prescription decisions by partitioning the order set: results of a vignette-based study.
J Gen Intern Med 2015 Mar;30(3):343. doi: 10.1007/s11606-014-3095-3..
Keywords: Health Information Technology (HIT), Shared Decision Making, Medication
Samwald M, Minarro Gimenez JA, Boyce RD
Pharmacogenomic knowledge representation, reasoning and genome-based clinical decision support based on OWL 2 DL ontologies.
The authors developed Web Ontology Language (OWL) ontologies and automated reasoning methodologies to meet various goals such as providing a simple and concise formalism for representing pharmacogenomic knowledge. Their ontology-based framework can be used to represent, organize and reason over the growing wealth of pharmacogenomic knowledge, as well as to identify errors, inconsistencies and insufficient definitions in source data sets or individual patient data.
AHRQ-funded; HS019461.
Citation: Samwald M, Minarro Gimenez JA, Boyce RD .
Pharmacogenomic knowledge representation, reasoning and genome-based clinical decision support based on OWL 2 DL ontologies.
BMC Med Inform Decis Mak 2015 Feb 22;15:12. doi: 10.1186/s12911-015-0130-1..
Keywords: Comparative Effectiveness, Health Information Technology (HIT), Shared Decision Making, Medication, Genetics
Butler KA, Mercer E, Bahrami A
Model checking for verification of interactive health IT systems.
The authors proposed to formalize the relationship between HIT and the conceptual work that increasingly typifies modern care. They demonstrated the method on a patient contact system to show that model checking is effective for interactive systems and that much of it can be automated.
AHRQ-funded; HS021233.
Citation: Butler KA, Mercer E, Bahrami A .
Model checking for verification of interactive health IT systems.
AMIA Annu Symp Proc 2015;2015:349-58.
.
.
Keywords: Shared Decision Making, Health Information Technology (HIT), Health Information Technology (HIT), Patient Safety, Workflow