Improving Hospital Outpatient Clinics Appointment Schedules by Prediction Models.

Babayoff, Orel; Shehory, Onn; Geller, Shamir; Shitrit-Niselbaum, Chen; Weiss-Meilik, Ahuva; Sprecher, Eli

Babayoff, Orel; Shehory, Onn; Geller, Shamir; Shitrit-Niselbaum, Chen; Weiss-Meilik, Ahuva; Sprecher, Eli.

Afiliación

Babayoff O; Bar-Ilan University, 5290002, Ramat Gan, Israel. orelbabayoff@gmail.com.
Shehory O; Bar-Ilan University, 5290002, Ramat Gan, Israel.
Geller S; Division of Dermatology, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Shitrit-Niselbaum C; I-Medata AI Center, Tel-Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Weiss-Meilik A; I-Medata AI Center, Tel-Aviv Sourasky Medical Center, Sackler Faculty of Medicine, Tel-Aviv University, Tel Aviv, Israel.
Sprecher E; Division of Dermatology, Tel Aviv Sourasky Medical Center and Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.

J Med Syst ; 47(1): 5, 2022 Dec 31.

Article en En | MEDLINE | ID: mdl-36585996

Asunto(s)

Modelos Teóricos; Servicio Ambulatorio en Hospital; Humanos; Estudios Retrospectivos; Factores de Tiempo; Citas y Horarios

Palabras clave

Healthcare; Length of appointment; Machine learning; No-show; Prediction model; Scheduling

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Servicio Ambulatorio en Hospital / Modelos Teóricos Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Med Syst Año: 2022 Tipo del documento: Article País de afiliación: Israel

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