This paper is in the following e-collection/theme issue:

TTRN CPH 2022: "Digital Health beyond COVID-19: Lessons Learned" (37)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/41676, first published .
TELEMED: Database on Evidence-Based Telemedicine in a Hospital Setting

TELEMED: Database on Evidence-Based Telemedicine in a Hospital Setting

TELEMED: Database on Evidence-Based Telemedicine in a Hospital Setting

Authors of this article:

Ida Wagner Svendsen1 ;   Kristian Kidholm1
Article Authors Cited by Tweetations Metrics

    Abstract

    Center for Innovative Medical Technology, Odense University Hospital, Odense, Denmark

    Corresponding Author:

    Kristian Kidholm, PhD

    Center for Innovative Medical Technology

    Odense University Hospital

    Sdr Boulevard 29

    Odense, 5000

    Denmark

    Phone: 45 30586477

    Email: kristian.kidholm@rsyd.dk


    Background: The use of telemedicine services has increased worldwide during recent years as a result of national strategies for the digitalization of health care and the COVID-19 pandemic. However, health care professionals often express uncertainty regarding the evidence and effectiveness of telemedicine interventions. Therefore, the Centre for Innovative Medical Technology at Odense University Hospital introduced the TELEMED database, an evidence-based telemedicine database.

    Objective: This study aimed to ensure that hospital managers, health care professionals, and other stakeholders gain access to information about scientific studies of telemedicine interventions and their effectiveness.

    Methods: The database constitutes a structured literature search in PubMed for randomized controlled trials or controlled trials on the effect of telemedicine for somatic diseases treated at hospitals. The search was conducted by staff members in the Health Technology Assessment unit at the Centre for Innovative Medical Technology. First, identified studies were sorted by screening titles and abstracts and, subsequently, by reading full-text versions. The data extracted from the studies included the setting, intervention, patient group, type of telemedicine, clinical effect, patient perception, and implementation challenges. Finally, the value of each study was assessed with respect to effectiveness.

    Results: A total of 518 articles were included for data extraction and assessment. The database provides results from 22 different specialties and can be searched using the following criteria: medical specialty, country, technology, clinical effect, patient experience, and economic effect. The database serves as a platform for the dialogue with clinical departments who wish to implement telemedicine services and has a large potential for supporting the digital transformation during COVID-19 as evidence-based information on patient groups, relevant technologies, and their effect is easily accessible.

    Conclusions: The TELEMED database provides an easily accessible overview of existing evidence-based telemedicine services. The database is freely available and is expected to be continuously improved and broadened over time.

    Conflicts of Interest: None declared.

    iproc 2023;9:e41676

    doi:10.2196/41676

    Keywords

    telemedicine; hospital 

    Edited by B Dinesen; This is a non–peer-reviewed article. submitted 04.08.22; accepted 19.06.23; published 27.06.23.

    Copyright

    ©Ida Wagner Svendsen, Kristian Kidholm. Originally published in Iproceedings (https://www.iproc.org), 27.06.2023.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in Iproceedings, is properly cited. The complete bibliographic information, a link to the original publication on https://www.iproc.org/, as well as this copyright and license information must be included.