Design and Analysis of a Mobile Chatbot Application for Hospital Room Availability Using the Bryant Evaluation Method.

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Title: Design and Analysis of a Mobile Chatbot Application for Hospital Room Availability Using the Bryant Evaluation Method.
Authors: Hidayat, Hari Toha1 haritoha@pnl.ac.id, Prihatin, Nanang1, Nasir, Muhammad1, Astrid, Erita2
Source: International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 1, p34-51. 18p.
Subjects: Chatbots, Hospital utilization, Real-time computing, Computer performance, Evaluation methodology, Patient care, WhatsApp Inc., Mobile apps, Stakeholder analysis
Geographic Terms: Indonesia
Abstract: The availability of inpatient rooms plays a vital role in providing intensive medical care for patients. However, many hospitals still face challenges in managing and accessing real-time information on room availability. This information is critical for hospital operations, particularly during emergencies, patient surges, or public health crises. Unfortunately, most hospitals continue to rely on localized, manual, and non-integrated information systems, which hinder efficient data sharing across institutions. This study aims to analyze the effectiveness of the Bryant method in evaluating an integrated system for retrieving inpatient room availability across hospitals. The Bryant method serves as a prioritization framework that assigns weighted values to predetermined parameters. In this research, a WhatsApp-based chatbot application was developed to facilitate the retrieval of inpatient room information at RSIA Abby and MMC General Hospital in Lhokseumawe, Indonesia. The evaluation criteria based on the Bryant Method include disease type, proximity to nurses, number of patients or privacy level, proximity to the bathroom, and room lighting or window access. The system's performance test demonstrated a response time of approximately one second per chat interaction. User evaluation results revealed that 41.3% of respondents rated the chatbot as highly appropriate and 37% as appropriate in displaying real-time inpatient room availability for both hospitals. Additionally, 45.7% and 30.4% of respondents, respectively, rated the system's response speed as highly appropriate and appropriate, while 43.5% and 37% agreed that the chatbot effectively assisted in determining suitable inpatient room selections. These findings indicate that the integration of the Bryant Method within a mobile-based chatbot application can enhance hospital information accessibility and decision-making efficiency. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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: Engineering Source
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  Data: Design and Analysis of a Mobile Chatbot Application for Hospital Room Availability Using the Bryant Evaluation Method.
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  Data: <searchLink fieldCode="DE" term="%22Chatbots%22">Chatbots</searchLink><br /><searchLink fieldCode="DE" term="%22Hospital+utilization%22">Hospital utilization</searchLink><br /><searchLink fieldCode="DE" term="%22Real-time+computing%22">Real-time computing</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+performance%22">Computer performance</searchLink><br /><searchLink fieldCode="DE" term="%22Evaluation+methodology%22">Evaluation methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Patient+care%22">Patient care</searchLink><br /><searchLink fieldCode="DE" term="%22WhatsApp+Inc%2E%22">WhatsApp Inc.</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Stakeholder+analysis%22">Stakeholder analysis</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Indonesia%22">Indonesia</searchLink>
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  Data: The availability of inpatient rooms plays a vital role in providing intensive medical care for patients. However, many hospitals still face challenges in managing and accessing real-time information on room availability. This information is critical for hospital operations, particularly during emergencies, patient surges, or public health crises. Unfortunately, most hospitals continue to rely on localized, manual, and non-integrated information systems, which hinder efficient data sharing across institutions. This study aims to analyze the effectiveness of the Bryant method in evaluating an integrated system for retrieving inpatient room availability across hospitals. The Bryant method serves as a prioritization framework that assigns weighted values to predetermined parameters. In this research, a WhatsApp-based chatbot application was developed to facilitate the retrieval of inpatient room information at RSIA Abby and MMC General Hospital in Lhokseumawe, Indonesia. The evaluation criteria based on the Bryant Method include disease type, proximity to nurses, number of patients or privacy level, proximity to the bathroom, and room lighting or window access. The system's performance test demonstrated a response time of approximately one second per chat interaction. User evaluation results revealed that 41.3% of respondents rated the chatbot as highly appropriate and 37% as appropriate in displaying real-time inpatient room availability for both hospitals. Additionally, 45.7% and 30.4% of respondents, respectively, rated the system's response speed as highly appropriate and appropriate, while 43.5% and 37% agreed that the chatbot effectively assisted in determining suitable inpatient room selections. These findings indicate that the integration of the Bryant Method within a mobile-based chatbot application can enhance hospital information accessibility and decision-making efficiency. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies 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.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.3991/ijim.v20i01.59507
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 18
        StartPage: 34
    Subjects:
      – SubjectFull: Chatbots
        Type: general
      – SubjectFull: Hospital utilization
        Type: general
      – SubjectFull: Real-time computing
        Type: general
      – SubjectFull: Computer performance
        Type: general
      – SubjectFull: Evaluation methodology
        Type: general
      – SubjectFull: Patient care
        Type: general
      – SubjectFull: WhatsApp Inc.
        Type: general
      – SubjectFull: Mobile apps
        Type: general
      – SubjectFull: Stakeholder analysis
        Type: general
      – SubjectFull: Indonesia
        Type: general
    Titles:
      – TitleFull: Design and Analysis of a Mobile Chatbot Application for Hospital Room Availability Using the Bryant Evaluation Method.
        Type: main
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            NameFull: Hidayat, Hari Toha
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            NameFull: Prihatin, Nanang
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            NameFull: Nasir, Muhammad
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            – D: 01
              M: 01
              Text: 2026
              Type: published
              Y: 2026
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            – TitleFull: International Journal of Interactive Mobile Technologies
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