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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedGoss FR, Plasek JM, Lau JJ
An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.
This paper presents early experience and preliminary findings in developing an allergy module for a general natural language processing (NLP) system, named Medical Text Extraction, Reasoning, and Mapping System (MTERMS), to extract and encode allergy information from clinical text. The preliminary results demonstrate the feasibility using NLP to extract and encode allergy information from clinical notes.
AHRQ-funded; HS022728.
Citation: Goss FR, Plasek JM, Lau JJ .
An evaluation of a natural language processing tool for identifying and encoding allergy information in emergency department clinical notes.
AMIA Annu Symp Proc 2014 Nov 14;2014:580-8..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Emergency Medical Services (EMS), Emergency Department
Cummins MR, Crouch BI, Del Fiol G
Information requirements for health information exchange supported communication between emergency departments and poison control centers.
The researchers analyzed audio recordings of current telephone-based communications between emergency departments (EDs) and poison control centers (PCCs) in order to describe the information requirements for health information exchange between PCCs and EDs. Their goal was to identify a focused subset of available health information, most relevant to emergency treatment of poison exposure, in order to support generalizable process re-design.
AHRQ-funded; HS018773.
Citation: Cummins MR, Crouch BI, Del Fiol G .
Information requirements for health information exchange supported communication between emergency departments and poison control centers.
AMIA Annu Symp Proc 2014 Nov 14;2014:449-56..
Keywords: Communication, Emergency Department, Emergency Medical Services (EMS), Health Information Exchange (HIE), Health Information Technology (HIT)
Berner ES, Ray MN, Panjamapirom A
Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.
The authors' objective was to provide post-visit feedback to physicians on patient outcomes following acute care visits. They found that many patients who do not improve as expected do not take action to further address unresolved problems. They suggested that systematic follow-up/feedback mechanisms can potentially identify and connect such patients to needed care.
AHRQ-funded; HS017060.
Citation: Berner ES, Ray MN, Panjamapirom A .
Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.
J Gen Intern Med 2014 Aug;29(8):1105-12. doi: 10.1007/s11606-014-2783-3.
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Keywords: Critical Care, Emergency Medical Services (EMS), Health Information Technology (HIT), Ambulatory Care and Surgery, Cancer
Singh H, Sittig DF
Were my diagnosis and treatment correct? No news is not necessarily good news.
The authors discussed Berner et al., elsewhere in the same issue, which explored the use of an automated interactive voice response system to reach patients after acute care visits. They suggested that providers evaluate the rigor and outcomes of follow-up practices within their own clinical settings.
AHRQ-funded; HS022087.
Citation: Singh H, Sittig DF .
Were my diagnosis and treatment correct? No news is not necessarily good news.
J Gen Intern Med 2014 Aug;29(8):1087-9. doi: 10.1007/s11606-014-2890-1.
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Keywords: Emergency Medical Services (EMS), Health Information Technology (HIT), Ambulatory Care and Surgery