Advancing Clinical Information Systems: Harnessing Telemedicine, Data Science, and AI for Enhanced and More Precise Healthcare Delivery

Bernhard Pfeifer; Sabrina B. Neururer; Werner O. Hackl

doi:10.1055/s-0044-1800730

Yearbook of Medical Informatics, Table of Contents

CC BY 4.0 · Yearb Med Inform 2024; 33(01): 115-122
DOI: 10.1055/s-0044-1800730

Section 3: Clinical Information Systems

Synopsis

Advancing Clinical Information Systems: Harnessing Telemedicine, Data Science, and AI for Enhanced and More Precise Healthcare Delivery

Authors

Bernhard Pfeifer

¹Division for Digital Health and Telemedicine, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.

²Department of Clinical Epidemiology, Tyrolean Federal Institute for Integrated Care, Tirol Kliniken GmbH, Innsbruck, Austria.
Sabrina B. Neururer

¹Division for Digital Health and Telemedicine, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.

²Department of Clinical Epidemiology, Tyrolean Federal Institute for Integrated Care, Tirol Kliniken GmbH, Innsbruck, Austria.
Werner O. Hackl

¹Division for Digital Health and Telemedicine, UMIT TIROL - Private University for Health Sciences and Health Technology, Hall in Tirol, Austria.

Abstract

Summary

Objective: In this synopsis, the editors of the Clinical Information Systems (CIS) section of the IMIA Yearbook of Medical Informatics overview recent research and propose a selection of best papers published in 2023 in the CIS field.

Methods: The CIS section editors utilize a systematic approach to collect relevant articles and determine the best papers for the section. Last year, they refined the query to include the topic of telemedicine. Through a multi-stage systematic selection process, the editors reduced the initial pool to 15 candidate papers. Each of these papers underwent at least six independent reviews, culminating in a selection meeting with the IMIA Yearbook editorial board, where the three best papers for the CIS section were chosen.

Results: The query was carried out in January 2024 retrieving 4,784 unique papers from PubMed and Web of Science, spanning 1,401 journals. The top journals included “Telemedicine Journal and e-Health” and “Journal of Medical Internet Research”. Publications predominantly originated from the United States and United Kingdom. Significant contributions included advancements in predictive analytics, such as scalable models for diagnosis prediction and patient readmission, integration of digital twin technology, and improvements in data interoperability and security. The analysis underscores the continued focus on leveraging electronic health record data and the importance of patient-centered technologies in CIS.

Conclusions: These findings highlight the ongoing evolution and potential of CIS technologies in enhancing patient care, emphasizing the importance of integrating innovative solutions and patient-centered approaches in the field.

Keywords

Medical informatics - International Medical Informatics Association - Yearbook - Clinical Information Systems - Artificial Intelligence - Data Science - Telemedicine

Full Text

References

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