TY - JOUR
T1 - Benefits of Information Technology in Healthcare
T2 - Artificial Intelligence, Internet of Things, and Personal Health Records
AU - Chang, Hyejung
AU - Choi, Jae Young
AU - Shim, Jaesun
AU - Kim, Mihui
AU - Choi, Mona
N1 - Publisher Copyright:
© 2023 The Korean Society of Medical Informatics.
PY - 2023/10
Y1 - 2023/10
N2 - 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 Em-base 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.
AB - 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 Em-base 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.
KW - Artificial Intelligence
KW - Internet of Things
KW - Medical Informatics
KW - Personal Health Records
KW - Review
UR - http://www.scopus.com/inward/record.url?scp=85176440355&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85176440355&partnerID=8YFLogxK
U2 - 10.4258/hir.2023.29.4.323
DO - 10.4258/hir.2023.29.4.323
M3 - Review article
AN - SCOPUS:85176440355
SN - 2093-3681
VL - 29
SP - 323
EP - 333
JO - Healthcare Informatics Research
JF - Healthcare Informatics Research
IS - 4
ER -