dc.contributor.author | ÇELİK, Erkan | |
dc.contributor.author | Yucesan, Melih | |
dc.contributor.author | Gul, Muhammet | |
dc.date.accessioned | 2022-02-18T09:17:29Z | |
dc.date.available | 2022-02-18T09:17:29Z | |
dc.identifier.citation | Yucesan M., Gul M., ÇELİK E., "A multi-method patient arrival forecasting outline for hospital emergency departments", INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT, cilt.13, ss.283-295, 2020 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_2bc3349d-2fe8-4a53-b98b-200b9b90b777 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/176903 | |
dc.identifier.uri | https://doi.org/10.1080/20479700.2018.1531608 | |
dc.description.abstract | Patient arrivals at the emergency department (ED) of hospitals has an unpredictable behavior. So that, adequate forecasting of this process can serve a management baseline to better allocate ED human resources and medical equipment. In this paper, a multi-method patient arrival forecasting outline for EDs is developed. The methods followed within this study include single methods as linear regression (LR), autoregressive integrated moving average (ARIMA), artificial neural network (ANN), exponential smoothing and hybrid methods as ARIMA-ANN and ARIMA-LR. As the subject of the study, a private hospital ED case in Turkey is carried out. Data of ED patient arrivals for the year of 2016 was used to set up models. Forecasting performance of the multi-method outline was measured using mean absolute percentage error. The ARIMA-ANN hybrid model is shown to outperform in terms of forecasting accuracy. In order to contribute to the current knowledge, this paper is a novel attempt of applying these methods to model ED patient arrivals and making an overall assessment among them. The results can be used to aid in strategic decision-making on ED staffing and scheduling policy planning in response to predictable arrival variations. | |
dc.language.iso | eng | |
dc.subject | Health Policy | |
dc.subject | Health Information Management | |
dc.subject | Leadership and Management | |
dc.subject | Review and Exam Preparation | |
dc.subject | Medical Assisting and Transcription | |
dc.subject | Medical Terminology | |
dc.subject | Community and Home Care | |
dc.subject | Health Professions (miscellaneous) | |
dc.subject | Social Sciences & Humanities | |
dc.subject | Health Sciences | |
dc.subject | Care Planning | |
dc.subject | SAĞLIK POLİTİKASI VE HİZMETLERİ | |
dc.subject | Sosyal Bilimler Genel | |
dc.subject | Sosyal Bilimler (SOC) | |
dc.subject | SAĞLIK BAKIM BİLİMLERİ VE HİZMETLERİ | |
dc.subject | Klinik Tıp | |
dc.subject | Klinik Tıp (MED) | |
dc.subject | Tıp | |
dc.subject | Sağlık Bilimleri | |
dc.subject | Dahili Tıp Bilimleri | |
dc.subject | Aile Hekimliği | |
dc.subject | Sosyal ve Beşeri Bilimler | |
dc.subject | Sosyoloji | |
dc.subject | General Social Sciences | |
dc.title | A multi-method patient arrival forecasting outline for hospital emergency departments | |
dc.type | Makale | |
dc.relation.journal | INTERNATIONAL JOURNAL OF HEALTHCARE MANAGEMENT | |
dc.contributor.department | Munzur Üniversitesi , , | |
dc.identifier.volume | 13 | |
dc.identifier.startpage | 283 | |
dc.identifier.endpage | 295 | |
dc.contributor.firstauthorID | 3224198 | |