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Benefits of Information Technology in Healthcare: Artificial Intelligence, Internet of Things, and Personal Health Records

Authors
 Hyejung Chang  ;  Jae-Young Choi  ;  Jaesun Shim  ;  Mihui Kim  ;  Mona Choi 
Citation
 HEALTHCARE INFORMATICS RESEARCH, Vol.29(4) : 323-333, 2023-10 
Journal Title
HEALTHCARE INFORMATICS RESEARCH
ISSN
 2093-3681 
Issue Date
2023-10
Keywords
Artificial Intelligence ; Internet of Things ; Medical Informatics ; Personal Health Records ; Review
Abstract
Objectives: Systematic evaluations of the benefits of health information technology (HIT) play an essential role in enhancing healthcare quality by improving outcomes. However, there is limited empirical evidence regarding the benefits of IT adoption in healthcare settings. This study aimed to review the benefits of artificial intelligence (AI), the internet of things (IoT), and personal health records (PHR), based on scientific evidence.

Methods: The literature published in peer-reviewed journals between 2016 and 2022 was searched for systematic reviews and meta-analysis studies using the PubMed, Cochrane, and Embase databases. Manual searches were also performed using the reference lists of systematic reviews and eligible studies from major health informatics journals. The benefits of each HIT were assessed from multiple perspectives across four outcome domains.

Results: Twenty-four systematic review or meta-analysis studies on AI, IoT, and PHR were identified. The benefits of each HIT were assessed and summarized from a multifaceted perspective, focusing on four outcome domains: clinical, psycho-behavioral, managerial, and socioeconomic. The benefits varied depending on the nature of each type of HIT and the diseases to which they were applied.

Conclusions: Overall, our review indicates that AI and PHR can positively impact clinical outcomes, while IoT holds potential for improving managerial efficiency. Despite ongoing research into the benefits of health IT in line with advances in healthcare, the existing evidence is limited in both volume and scope. The findings of our study can help identify areas for further investigation.
Files in This Item:
T202306983.pdf Download
DOI
10.4258/hir.2023.29.4.323
Appears in Collections:
3. College of Nursing (간호대학) > Dept. of Nursing (간호학과) > 1. Journal Papers
Yonsei Authors
Choi, Mona(최모나) ORCID logo https://orcid.org/0000-0003-4694-0359
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/197365
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