Automated Diabetes Case Identification Using Electronic Health Record Data at a Tertiary Care Facility.

Upadhyaya, Sudhi G; Murphree, Dennis H; Ngufor, Che G; Knight, Alison M; Cronk, Daniel J; Cima, Robert R; Curry, Timothy B; Pathak, Jyotishman; Carter, Rickey E; Kor, Daryl J

Upadhyaya, Sudhi G; Murphree, Dennis H; Ngufor, Che G; Knight, Alison M; Cronk, Daniel J; Cima, Robert R; Curry, Timothy B; Pathak, Jyotishman; Carter, Rickey E; Kor, Daryl J.

Afiliación

Upadhyaya SG; Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
Murphree DH; Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
Ngufor CG; Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
Knight AM; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Cronk DJ; Department of Information Technology, Mayo Clinic, Rochester, MN.
Cima RR; Division of Colon and Rectal Surgery, Mayo Clinic, Rochester, MN.
Curry TB; Robert D. and Patricia E. Kern Center for Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Pathak J; Department of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Carter RE; Department of Physiology and Biomedical Engineering, Mayo Clinic, Rochester, MN.
Kor DJ; Department of Health Sciences Research, Mayo Clinic, Rochester, MN.

Mayo Clin Proc Innov Qual Outcomes ; 1(1): 100-110, 2017 Jul.

Article en En | MEDLINE | ID: mdl-30225406

Palabras clave

CCW, Chronic Condition Data Warehouse; DDC, Durham Diabetes Coalition; DM, diabetes mellitus; EHR, electronic health record; HbA1c of NYC, Hemoglobin A1c of New York City; HbA1c, hemoglobin A1c; ICD-9-CM, International Classification of Diseases, Ninth Revision, Clinical Modification; MICS, Mayo Integrated Clinical Systems; NLP, natural language processing; SUPREME-DM, Surveillance, Prevention, and Management of Diabetes Mellitus; T1DM, type 1 diabetes mellitus; T2DM, type 2 diabetes mellitus; eMERGE, Electronic Medical Records and Genomics

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Guideline Idioma: En Revista: Mayo Clin Proc Innov Qual Outcomes Año: 2017 Tipo del documento: Article País de afiliación: Mongolia

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