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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.
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1 to 2 of 2 Research Studies DisplayedBoland MR, Miotto R, Weng C
A method for probing disease relatedness using common clinical eligibility criteria.
The researchers explored the feasibility of using disease-specific common eligibility features (CEFs) for representing diseases and understanding their relatedness. They constructed disease-specific CEF networks to assess the degree of overlap among three types of diseases. Using these automatically derived networks, they were able to highlight connections among schizophrenia, epilepsy and depression. This finding and similar observations confirm the value of using clinical trial eligibility criteria for identifying disease relatedness.
AHRQ-funded; HS019853.
Citation: Boland MR, Miotto R, Weng C .
A method for probing disease relatedness using common clinical eligibility criteria.
Stud Health Technol Inform 2013;192:481-5..
Keywords: Health Information Technology (HIT), Electronic Health Records (EHRs), Registries
Vawdrey DK, Natarajan K, Kanter AS
Informatics lessons from using a novel immunization information system.
This paper describes the informatics challenges and lessons learned during nearly 15 years of collecting, using, and exchanging electronic immunization information. The authors report on their experience with developing and using the EzVac system for 1) clinical care, both in local and global settings, 2) public health reporting, 3) consumer engagement, and 4) clinical and informatics research.
AHRQ-funded; HS018158.
Citation: Vawdrey DK, Natarajan K, Kanter AS .
Informatics lessons from using a novel immunization information system.
Stud Health Technol Inform 2013;192:589-93..
Keywords: Health Information Technology (HIT), Registries, Public Reporting, Vaccination