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Integral patient scheduling in outpatient clinics under demand uncertainty to minimize patient waiting times.

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Title: Integral patient scheduling in outpatient clinics under demand uncertainty to minimize patient waiting times.
Authors: Munavalli, Jyoti R1 (AUTHOR), Rao, Shyam Vasudeva2 (AUTHOR), Srinivasan, Aravind3 (AUTHOR), van Merode, GG1 (AUTHOR)
Source: Health Informatics Journal. Mar2020, Vol. 26 Issue 1, p435-448. 14p.
Subject Terms: *Algorithms, *Clinics, *Information storage & retrieval systems, Analysis of variance, Goodness-of-fit tests, Hospital information systems, Medical databases, Interviewing, Recording & registration, Medical appointments, Evaluation of organizational effectiveness, Patients, Poisson distribution, Time, Workflow, Statistical significance, Descriptive statistics
Geographic Terms: India
Abstract: This study addressed the problem of scheduling walk-in patients in real time. Outpatient clinics encounter uncertainty in patient demand. In addition, the disparate departments are locally (department-centric) organized, leading to prolonged waiting times for patients. The proposed integral patient scheduling model incorporates the status and information of all departments in the outpatient clinic along with all possible pathways to direct patients, on their arrival, to the optimal path. The developed hybrid ant agent algorithm identifies the optimal path to reduce the patient waiting time and cycle time (time from registration to exit). An outpatient clinic in Aravind Eye Hospital, Madurai, has a huge volume of walk-in patients and was selected for this study. The simulation study was performed for diverse scenarios followed by implementation study. The results indicate that integral patient scheduling reduced waiting time significantly. The path optimization in real time makes scheduling effective and efficient as it captures the changes in the outpatient clinic instantly. [ABSTRACT FROM AUTHOR]
Copyright of Health Informatics Journal is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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  Data: Integral patient scheduling in outpatient clinics under demand uncertainty to minimize patient waiting times.
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  Data: This study addressed the problem of scheduling walk-in patients in real time. Outpatient clinics encounter uncertainty in patient demand. In addition, the disparate departments are locally (department-centric) organized, leading to prolonged waiting times for patients. The proposed integral patient scheduling model incorporates the status and information of all departments in the outpatient clinic along with all possible pathways to direct patients, on their arrival, to the optimal path. The developed hybrid ant agent algorithm identifies the optimal path to reduce the patient waiting time and cycle time (time from registration to exit). An outpatient clinic in Aravind Eye Hospital, Madurai, has a huge volume of walk-in patients and was selected for this study. The simulation study was performed for diverse scenarios followed by implementation study. The results indicate that integral patient scheduling reduced waiting time significantly. The path optimization in real time makes scheduling effective and efficient as it captures the changes in the outpatient clinic instantly. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Health Informatics Journal is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=143231225
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      – Type: doi
        Value: 10.1177/1460458219832044
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 14
        StartPage: 435
    Subjects:
      – SubjectFull: Algorithms
        Type: general
      – SubjectFull: Clinics
        Type: general
      – SubjectFull: Information storage & retrieval systems
        Type: general
      – SubjectFull: Analysis of variance
        Type: general
      – SubjectFull: Goodness-of-fit tests
        Type: general
      – SubjectFull: Hospital information systems
        Type: general
      – SubjectFull: Medical databases
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Recording & registration
        Type: general
      – SubjectFull: Medical appointments
        Type: general
      – SubjectFull: Evaluation of organizational effectiveness
        Type: general
      – SubjectFull: Patients
        Type: general
      – SubjectFull: Poisson distribution
        Type: general
      – SubjectFull: Time
        Type: general
      – SubjectFull: Workflow
        Type: general
      – SubjectFull: Statistical significance
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: India
        Type: general
    Titles:
      – TitleFull: Integral patient scheduling in outpatient clinics under demand uncertainty to minimize patient waiting times.
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            NameFull: Munavalli, Jyoti R
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            NameFull: Rao, Shyam Vasudeva
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            NameFull: Srinivasan, Aravind
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            NameFull: van Merode, GG
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            – D: 01
              M: 03
              Text: Mar2020
              Type: published
              Y: 2020
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