Dataset Information

Voice-based control system for smart hospital wards: a pilot study of patient acceptance.

ABSTRACT:

Background

The smart hospital's concept of using the Internet of Things (IoT) to reduce human resources demand has become more popular in the aging society.

Objective

To implement the voice smart care (VSC) system in hospital wards and explore patient acceptance via the Technology Acceptance Model (TAM).

Methods

A structured questionnaire based on TAM was developed and validated as a research tool. Only the patients hospitalized in the VSC wards and who used it for more than two days were invited to fill the questionnaire. Statistical variables were analyzed using SPSS version 24.0. A total of 30 valid questionnaires were finally obtained after excluding two incomplete questionnaires. Cronbach's α values for all study constructs were above 0.84.

Result

We observed that perceived ease of use on perceived usefulness, perceived usefulness on user satisfaction and attitude toward using, and attitude toward using on behavioral intention to use had statistical significance (p < .01), respectively.

Conclusion

We have successfully developed the VSC system in a Taiwanese academic medical center. Our study indicated that perceived usefulness was a crucial factor, which means the system function should precisely meet the patients' demands. Additionally, a clever system design is important since perceived ease of use positively affects perceived usefulness. The insight generated from this study could be beneficial to hospitals when implementing similar systems to their wards.

SUBMITTER: Jian WS

PROVIDER: S-EPMC8892698 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature

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Publications

Voice-based control system for smart hospital wards: a pilot study of patient acceptance.

Jian Wen-Shan WS Wang Ju-Yu JY Rahmanti Annisa Ristya AR Chien Shuo-Chen SC Hsu Chun-Kung CK Chien Chia-Hui CH Li Yu-Chuan YC Chen Chun-You CY Chin Yen-Po YP Huang Chen-Ling CL

BMC health services research 20220303 1

<h4>Background</h4>The smart hospital's concept of using the Internet of Things (IoT) to reduce human resources demand has become more popular in the aging society.<h4>Objective</h4>To implement the voice smart care (VSC) system in hospital wards and explore patient acceptance via the Technology Acceptance Model (TAM).<h4>Methods</h4>A structured questionnaire based on TAM was developed and validated as a research tool. Only the patients hospitalized in the VSC wards and who used it for more tha ...[more]

PMID: 35236341

Similar Datasets

Project description:Patient experience plays an essential role in improving clinical effectiveness and patient safety. It's important to identify factors influencing patient experience and to improve quality of healthcare. To identify factors that influence patient experience in hospital wards. We conducted a systematic review including six databases; they were PubMed, CINAHL, Embase, PsycInfo, ProQuest, and Cochrane. Studies were included if they met the inclusion criteria. The JBI checklist was used to perform quality appraisal. We used 5 domains of the ecological model to organize and synthesize our findings to comprehensively understand the multi-level factors influencing the issue. A total of 138 studies were included, and 164 factors were identified. These factors were integrated into 6 domains. All domains but one (survey-related factors) could be mapped onto the attributes of the ecological framework: intrapersonal, interpersonal, institutional, community, and public policy level factors. All factors had mixed effect on patient experience. The intrapersonal level refers to individual characteristics of patients. The interpersonal level refers to interactions between patients and healthcare providers, such as the caring time spent by a nurse. The institutional level refers to organizational characteristics, rules and regulations for operations, such as hospital size and accreditation. The community level refers to relationships among organizations, institutions, and informational networks within defined boundaries, such as a hospital located in a larger population area. Public policy level refers to local, state, national, and global laws and policies, including health insurance policies. The sixth domain, survey-related factors, was added to the framework and included factors such as survey response rate and survey response time. The factors influencing patient experience are comprehensive, ranging from intrapersonal to public policy. Providers should adopt a holistic and integrated perspective to assess patient experience and develop context-specific interventions to improve the quality of care. PROSPERO REGISTRATION NUMBER CRD42023401066.

Dataset Information

Voice-based control system for smart hospital wards: a pilot study of patient acceptance.

Background

Objective

Methods

Result

Conclusion

Publications

Voice-based control system for smart hospital wards: a pilot study of patient acceptance.

Similar Datasets

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