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Waiting‐time estimation in walk‐in clinics
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| Zeitschriftentitel: | International Transactions in Operational Research |
|---|---|
| Personen und Körperschaften: | , , |
| In: | International Transactions in Operational Research, 25, 2018, 1, S. 51-74 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
Wiley
|
| Schlagwörter: |
| author_facet |
Montecinos, Julio Ouhimmou, Mustapha Chauhan, Satyaveer Montecinos, Julio Ouhimmou, Mustapha Chauhan, Satyaveer |
|---|---|
| author |
Montecinos, Julio Ouhimmou, Mustapha Chauhan, Satyaveer |
| spellingShingle |
Montecinos, Julio Ouhimmou, Mustapha Chauhan, Satyaveer International Transactions in Operational Research Waiting‐time estimation in walk‐in clinics Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management |
| author_sort |
montecinos, julio |
| spelling |
Montecinos, Julio Ouhimmou, Mustapha Chauhan, Satyaveer 0969-6016 1475-3995 Wiley Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management http://dx.doi.org/10.1111/itor.12353 <jats:title>Abstract</jats:title><jats:p>Medical assistance is offered by walk‐in clinics (WC). These clinics must keep track of patients’ turn in line. Some private companies offer an extra follow‐up service to WC patients, which notifies them when their consultation approaches, so patients can use their free time elsewhere than in the waiting room. This paper aims to develop an applied forecasting approach for consultation service time estimation and waiting‐time estimation. A model based on particle filters and mixture models helps to estimate the waiting time for each consultation, using historical and new incoming data from patient consultations. The system considers two types of patients, namely, regular and follow‐up. Our method gives an estimate of the waiting time for consultation better than simple statistics.</jats:p> Waiting‐time estimation in walk‐in clinics International Transactions in Operational Research |
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Waiting‐time estimation in walk‐in clinics |
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Waiting‐time estimation in walk‐in clinics |
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Waiting‐time estimation in walk‐in clinics |
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waiting‐time estimation in walk‐in clinics |
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Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management |
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2018 |
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<jats:title>Abstract</jats:title><jats:p>Medical assistance is offered by walk‐in clinics (WC). These clinics must keep track of patients’ turn in line. Some private companies offer an extra follow‐up service to WC patients, which notifies them when their consultation approaches, so patients can use their free time elsewhere than in the waiting room. This paper aims to develop an applied forecasting approach for consultation service time estimation and waiting‐time estimation. A model based on particle filters and mixture models helps to estimate the waiting time for each consultation, using historical and new incoming data from patient consultations. The system considers two types of patients, namely, regular and follow‐up. Our method gives an estimate of the waiting time for consultation better than simple statistics.</jats:p> |
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| author | Montecinos, Julio, Ouhimmou, Mustapha, Chauhan, Satyaveer |
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| description | <jats:title>Abstract</jats:title><jats:p>Medical assistance is offered by walk‐in clinics (WC). These clinics must keep track of patients’ turn in line. Some private companies offer an extra follow‐up service to WC patients, which notifies them when their consultation approaches, so patients can use their free time elsewhere than in the waiting room. This paper aims to develop an applied forecasting approach for consultation service time estimation and waiting‐time estimation. A model based on particle filters and mixture models helps to estimate the waiting time for each consultation, using historical and new incoming data from patient consultations. The system considers two types of patients, namely, regular and follow‐up. Our method gives an estimate of the waiting time for consultation better than simple statistics.</jats:p> |
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| spelling | Montecinos, Julio Ouhimmou, Mustapha Chauhan, Satyaveer 0969-6016 1475-3995 Wiley Management of Technology and Innovation Management Science and Operations Research Strategy and Management Computer Science Applications Business and International Management http://dx.doi.org/10.1111/itor.12353 <jats:title>Abstract</jats:title><jats:p>Medical assistance is offered by walk‐in clinics (WC). These clinics must keep track of patients’ turn in line. Some private companies offer an extra follow‐up service to WC patients, which notifies them when their consultation approaches, so patients can use their free time elsewhere than in the waiting room. This paper aims to develop an applied forecasting approach for consultation service time estimation and waiting‐time estimation. A model based on particle filters and mixture models helps to estimate the waiting time for each consultation, using historical and new incoming data from patient consultations. The system considers two types of patients, namely, regular and follow‐up. Our method gives an estimate of the waiting time for consultation better than simple statistics.</jats:p> Waiting‐time estimation in walk‐in clinics International Transactions in Operational Research |
| spellingShingle | Montecinos, Julio, Ouhimmou, Mustapha, Chauhan, Satyaveer, International Transactions in Operational Research, Waiting‐time estimation in walk‐in clinics, Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management, Computer Science Applications, Business and International Management |
| title | Waiting‐time estimation in walk‐in clinics |
| title_full | Waiting‐time estimation in walk‐in clinics |
| title_fullStr | Waiting‐time estimation in walk‐in clinics |
| title_full_unstemmed | Waiting‐time estimation in walk‐in clinics |
| title_short | Waiting‐time estimation in walk‐in clinics |
| title_sort | waiting‐time estimation in walk‐in clinics |
| title_unstemmed | Waiting‐time estimation in walk‐in clinics |
| topic | Management of Technology and Innovation, Management Science and Operations Research, Strategy and Management, Computer Science Applications, Business and International Management |
| url | http://dx.doi.org/10.1111/itor.12353 |