Daily Care Information System Requirements: Professional Service-Driven Service Blueprint Approach

Overview

Journal Appl Clin Inform

Publisher Thieme

Specialties Health Services
Medical Informatics

Date 2021 Oct 13

PMID 34644806

Citations 1

Authors

Tung-Cheng Lin

Lih-Lian Hwang

Hung-Da Dai

Yu-Chun Sang

Affiliations

Soon will be listed here.

Abstract

Background: Long-term care (LTC) services are a professional service-driven (PSD) system; to deliver appropriate care services to residents, health care providers first need to collect appropriate patient data and make a professional assessment. A well-designed LTC information system should therefore consider the information requirements of multidisciplinary health care providers to adequately support their care services.

Objectives: This study proposed a modified service blueprint-the PSD service blueprint-for visualizing interdisciplinary service providers' input and output information requirements, which correspond to their service activities.

Methods: The PSD service blueprint comprises five layers and seven elements. We also present a case study to illustrate the blueprint's application to daily LTC services.

Results: Our proposed approach could clearly illustrate the daily care activities, service providers (main actors), actors' input and output information, and suggestions for LTC information system-related applications.

Conclusion: The proposed PSD service blueprint can not only gather interdisciplinary LTC service providers' information system requirements but also act as a mapping tool for visualizing the care service process.

Citing Articles

Development of a service blueprint for blockchain services.

Jang H, Ryu D PLoS One. 2025; 20(1):e0317449.

PMID: 39869548 PMC: 11771942. DOI: 10.1371/journal.pone.0317449.

Development of a communication platform for patients with head and neck cancer for effective information delivery and improvement of doctor-patient relationship: application of treatment journey-based service blueprint.

Koo Y, Kim E, Nam I BMC Med Inform Decis Mak. 2024; 24(1):81.

PMID: 38509511 PMC: 10956258. DOI: 10.1186/s12911-024-02477-4.

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