Your browser doesn't support javascript.
loading
Innovative Informatics Approaches for Peripheral Artery Disease: Current State and Provider Survey of Strategies for Improving Guideline-Based Care.
Chaudhry, Alisha P; Afzal, Naveed; Abidian, Mohamed M; Mallipeddi, Vishnu Priya; Elayavilli, Ravikumar K; Scott, Christopher G; Kullo, Iftikhar J; Wennberg, Paul W; Pankratz, Joshua J; Liu, Hongfang; Chaudhry, Rajeev; Arruda-Olson, Adelaide M.
Afiliación
  • Chaudhry AP; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Afzal N; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Abidian MM; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Mallipeddi VP; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Elayavilli RK; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Scott CG; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Kullo IJ; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Wennberg PW; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Pankratz JJ; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Liu H; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Chaudhry R; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
  • Arruda-Olson AM; Department of Cardiovascular Diseases (A.P.C., M.M.A., V.P.M., I.J.K., P.W.W., A.M.A.-O.), Department of Health Sciences Research (N.A., R.K.E., C.G.S., H.L.), Department of Information Technology (J.J.P.), Department of Primary Care Internal Medicine (R.C)., Center for Translational Informatics and
Mayo Clin Proc Innov Qual Outcomes ; 2(2): 129-136, 2018 Jun.
Article en En | MEDLINE | ID: mdl-30035252
ABSTRACT

OBJECTIVE:

To quantify compliance with guideline recommendations for secondary prevention in peripheral artery disease (PAD) using natural language processing (NLP) tools deployed to an electronic health record (EHR) and investigate provider opinions regarding clinical decision support (CDS) to promote improved implementation of these strategies. PATIENTS AND

METHODS:

Natural language processing was used for automated identification of moderate to severe PAD cases from narrative clinical notes of an EHR of patients seen in consultation from May 13, 2015, to July 27, 2015. Guideline-recommended strategies assessed within 6 months of PAD diagnosis included therapy with statins, antiplatelet agents, angiotensin-converting enzyme inhibitors or angiotensin receptor blockers, and smoking abstention. Subsequently, a provider survey was used to assess provider knowledge regarding PAD clinical practice guidelines, comfort in recommending secondary prevention strategies, and potential role for CDS.

RESULTS:

Among 73 moderate to severe PAD cases identified by NLP, only 12 (16%) were on 4 guideline-recommended strategies. A total of 207 of 760 (27%) providers responded to the survey; of these 141 (68%) were generalists and 66 (32%) were specialists. Although 183 providers (88%) managed patients with PAD, 51 (25%) indicated they were uncomfortable doing so; 138 providers (67%) favored the development of a CDS system tailored for their practice and 146 (71%) agreed that an automated EHR-derived mortality risk score calculator for patients with PAD would be helpful.

CONCLUSION:

Natural language processing tools can identify cases from EHRs to support quality metric studies. Findings of this pilot study demonstrate gaps in application of guideline-recommended strategies for secondary risk prevention for patients with moderate to severe PAD. Providers strongly support the development of CDS systems tailored to assist them in providing evidence-based care to patients with PAD at the point of care.
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: Mayo Clin Proc Innov Qual Outcomes Año: 2018 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Guideline / Prognostic_studies / Qualitative_research Idioma: En Revista: Mayo Clin Proc Innov Qual Outcomes Año: 2018 Tipo del documento: Article