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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 5 of 5 Research Studies DisplayedSwain MJ, Kharrazi H
Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.
The researchers conducted a semi-systematic review of readmission predictive factors published prior to March 2013. They found that mapping of these variables with common HL7 segments resulted in an 89.2 percent total coverage, with the DG1 (diagnosis) segment having the highest coverage of 39.4 percent. The PID (patient identification) and OBX (observation results) segments cover 13.9 percent and 9.1 percent of the variables.
AHRQ-funded; HS022578.
Citation: Swain MJ, Kharrazi H .
Feasibility of 30-day hospital readmission prediction modeling based on health information exchange data.
Int J Med Inform 2015 Dec;84(12):1048-56. doi: 10.1016/j.ijmedinf.2015.09.003.
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Keywords: Health Information Exchange (HIE), Hospital Readmissions, Health Information Technology (HIT), Data
Hersh WR, Totten AM, Eden KB
Outcomes from health information exchange: systematic review and future research needs.
The authors systematically reviewed the available research on health information exchange (HIE) outcomes and analyzed future research needs. After analyzing 34 studies on outcomes of HIE, they found that although the evidence supports benefits of HIE in reducing the use of specific resources and improving the quality of care, the full impact of HIE on clinical outcomes and potential harms are inadequately studied.
AHRQ-funded; 290201200014I.
Citation: Hersh WR, Totten AM, Eden KB .
Outcomes from health information exchange: systematic review and future research needs.
JMIR Med Inform 2015 Dec 15;3(4):e39. doi: 10.2196/medinform.5215.
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Keywords: Quality of Care, Health Information Exchange (HIE), Health Information Technology (HIT), Outcomes
Kim KK, Joseph JG, Ohno-Machado L
Comparison of consumers' views on electronic data sharing for healthcare and research.
The researchers surveyed California consumers to learn their views of privacy, security, and consent in electronic data sharing for healthcare and research together. They found considerable concern that health information exchanges will worsen privacy (40.3 percent) and security (42.5 percent). Consumers are in favor of electronic data sharing but elements of transparency are important: individual control, who has access, and the purpose for use of data.
AHRQ-funded; HS019913.
Citation: Kim KK, Joseph JG, Ohno-Machado L .
Comparison of consumers' views on electronic data sharing for healthcare and research.
J Am Med Inform Assoc 2015 Jul;22(4):821-30. doi: 10.1093/jamia/ocv014..
Keywords: Communication, Data, Electronic Health Records (EHRs), Health Information Exchange (HIE), Health Information Technology (HIT), Patient-Centered Healthcare
Rajamani S, Chen ES, Akre ME
Assessing the adequacy of the HL7/LOINC Document Ontology Role axis.
This study assessed the adequacy of the Role axis for representing the type of author documenting care. Experts used a master list of 220 values created from seven resources and established mapping guidelines. Baseline certification, licensure, and didactic training were identified as key parameters that define roles and hence often need to be pre-coordinated. Document Ontology (DO) was inadequate in representing 82 percent of roles, and this gap was primarily due to lack of granularity in DO.
AHRQ-funded; HS022085.
Citation: Rajamani S, Chen ES, Akre ME .
Assessing the adequacy of the HL7/LOINC Document Ontology Role axis.
J Am Med Inform Assoc 2015 May;22(3):615-20. doi: 10.1136/amiajnl-2014-003100..
Keywords: Health Information Exchange (HIE), Electronic Health Records (EHRs), Health Information Technology (HIT)
Del Fiol G, Crouch BI, Cummins MR
Data standards to support health information exchange between poison control centers and emergency departments.
The researchers identified and assessed a set of data standards to enable a standards-based health information exchange process between emergency departments (EDs) and poison control centers (PCCs). They determined that four Consolidated Clinical Document Architecture document types were necessary to support the PCC–ED information exchange process: History & Physical Note, Consultation Note, Progress Note, and Discharge Summary.
AHRQ-funded; HS021472.
Citation: Del Fiol G, Crouch BI, Cummins MR .
Data standards to support health information exchange between poison control centers and emergency departments.
J Am Med Inform Assoc 2015 May;22(3):519-28. doi: 10.1136/amiajnl-2014-003127..
Keywords: Data, Emergency Department, Emergency Medical Services (EMS), Health Information Exchange (HIE), Health Information Technology (HIT)