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A model to design financially sustainable algorithm-enabled remote patient monitoring for pediatric type 1 diabetes care.
Dupenloup, Paul; Pei, Ryan Leonard; Chang, Annie; Gao, Michael Z; Prahalad, Priya; Johari, Ramesh; Schulman, Kevin; Addala, Ananta; Zaharieva, Dessi P; Maahs, David M; Scheinker, David.
Afiliación
  • Dupenloup P; Department of Management Science and Engineering, Stanford University, Stanford, CA, United States.
  • Pei RL; Department of Management Science and Engineering, Stanford University, Stanford, CA, United States.
  • Chang A; Department of Management Science and Engineering, Stanford University, Stanford, CA, United States.
  • Gao MZ; Department of Management Science and Engineering, Stanford University, Stanford, CA, United States.
  • Prahalad P; Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
  • Johari R; Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States.
  • Schulman K; Department of Management Science and Engineering, Stanford University, Stanford, CA, United States.
  • Addala A; Stanford Diabetes Research Center, Stanford University, Stanford, CA, United States.
  • Zaharieva DP; Clinical Excellence Research Center, Stanford University, Stanford, CA, United States.
  • Maahs DM; Graduate School of Business, Stanford University, Stanford, CA, United States.
  • Scheinker D; Department of Pediatrics, Division of Pediatric Endocrinology, Stanford University, Stanford, CA, United States.
Front Endocrinol (Lausanne) ; 13: 1021982, 2022.
Article en En | MEDLINE | ID: mdl-36440201
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Telemedicina / Diabetes Mellitus Tipo 1 Tipo de estudio: Health_economic_evaluation / Prognostic_studies Límite: Child / Humans Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Telemedicina / Diabetes Mellitus Tipo 1 Tipo de estudio: Health_economic_evaluation / Prognostic_studies Límite: Child / Humans Idioma: En Revista: Front Endocrinol (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Suiza