National Healthcare Quality and Disparities Report
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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 DisplayedWissel BD, Greiner HM, Glauser TA
Early identification of epilepsy surgery candidates: a multicenter, machine learning study.
Epilepsy surgery is underutilized. Automating the identification of potential surgical candidates may facilitate earlier intervention. The study objective was to develop site-specific machine learning (ML) algorithms to identify candidates before they undergo surgery. The investigators concluded that site-specific machine learning algorithms could identify candidates for epilepsy surgery early in the disease course in diverse practice settings.
AHRQ-funded; HS024977.
Citation: Wissel BD, Greiner HM, Glauser TA .
Early identification of epilepsy surgery candidates: a multicenter, machine learning study.
Acta Neurol Scand 2021 Jul;114(1):41-50. doi: 10.1111/ane.13418..
Keywords: Neurological Disorders, Surgery, Health Information Technology (HIT)
Meyers S, Claire Simon K, Bergman-Bock S
Structured clinical documentation to improve quality and support practice-based research in headache.
The authors developed a proprietary toolkit to aid clinicians when creating clinical documentation in electronic medical records (EMRs). This toolkit will help clinicians provide discrete data and not unstructured free text which many clinicians enter into the EMR. The toolkit collects hundreds of fields of data and interprets score tests for a number of difference assessment tools for anxiety disorder, depression, migraine disability, and insomnia. The toolkit was used at 4346 initial patient visits as of April 1, 2018. The toolkit is being shared with other clinics as part of the Neurology Practice-Based Research Network.
AHRQ-funded; HS024057.
Citation: Meyers S, Claire Simon K, Bergman-Bock S .
Structured clinical documentation to improve quality and support practice-based research in headache.
Headache 2018 Sep;58(8):1211-18. doi: 10.1111/head.13348..
Keywords: Quality Improvement, Quality of Life, Tools & Toolkits, Neurological Disorders, Electronic Health Records (EHRs), Health Information Technology (HIT), Practice-Based Research Network (PBRN)