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      • Record: found
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      Telehealth in Medicine: Predictions 2023–2024

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Each year, Telehealth and Medicine Today asks experts in the field to share their insights into the future and predict how telehealth will influence uptake and healthcare in the new year.

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          Most cited references9

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          Navigating the Digital Divide: Barriers to Telehealth in Rural Areas.

          Kendall Cortelyou-Ward, Danielle Atkins, Alice Noblin … (2020)
          Telehealth allows information-sharing and clinical care at a distance via telecommunication and information technologies. While telehealth promises to increase access for underserved populations (particularly those in rural areas), roadblocks are slowing widespread availability. These roadblocks have created disparities that are most acute in rural areas, and for racial minorities, the elderly, and those with low levels of educational attainment. The success of telehealth relies on having reliable, high-quality broadband access, facilitating interstate licensing for providers and parity in reimbursement for telehealth. However, due to various structural barriers, telehealth is not being adopted as quickly in rural areas, where it is most needed. We describe broadband access by state, state adoption of the Interstate Medical Licensure Compacts (IMLCs), which facilitates the practice of telehealth across states, and state adoption of telehealth parity laws. We discuss each of these in turn and provide policy recommendations.
          Article 0 comments Cited 42 times – based on 0 reviews     Review now
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            The Evolution of the Quintuple Aim : Health Equity, Health Outcomes, and the Economy

            Dipti Itchhaporia (2021)
            Article 0 comments Cited 22 times – based on 0 reviews     Review now
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              Supporting the Quadruple Aim Using Simulation and Human Factors During COVID-19 Care

              Ambrose Wong, Rami Ahmed, Jessica M Ray … (2021)
              The health care sector has made radical changes to hospital operations and care delivery in response to the coronavirus disease (COVID-19) pandemic. This article examines pragmatic applications of simulation and human factors to support the Quadruple Aim of health system performance during the COVID-19 era. First, patient safety is enhanced through development and testing of new technologies, equipment, and protocols using laboratory-based and in situ simulation. Second, population health is strengthened through virtual platforms that deliver telehealth and remote simulation that ensure readiness for personnel to deploy to new clinical units. Third, prevention of lost revenue occurs through usability testing of equipment and computer-based simulations to predict system performance and resilience. Finally, simulation supports health worker wellness and satisfaction by identifying optimal work conditions that maximize productivity while protecting staff through preparedness training. Leveraging simulation and human factors will support a resilient and sustainable response to the pandemic in a transformed health care landscape.
              Article 0 comments Cited 12 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (publisher-id): THMT
                Title: Telehealth and Medicine Today
                Publisher: Partners in Digital Health
                ISSN (Electronic): 2471-6960
                Publication date (Electronic): 15 January 2023
                Publication date Collection: 2022
                Volume: 7
                Electronic Location Identifier: 10.30953/thmt.v8.380
                Affiliations
                [1 ]Vivalink, Inc., Campbell, California, USA
                [2 ]Softhread, Baltimore, Maryland, USA
                [3 ]Microsoft Health & Life Sciences, Baltimore, Maryland, USA
                [4 ]The MITRE Corporation, McLean, Virginia, USA
                [5 ]Thomas Jefferson University School of Medicine, Philadelphia, Pennsylvania, USA
                [6 ]Coles College of Business, Kennesaw University, Kennesaw, Georgia, USA
                [7 ]MITRE Corporation, McLean, Virginia, USA; Harvard Vanguard Medical Associates, Atrius Health, Eastern Massachusetts, USA
                Author notes
                Corresponding Author: Paul Barach, Email: pbarach@ 123456gmail.com
                Author information
                https://orcid.org/0000-0002-7006-128
                https://orcid.org/0000-0001-7276-354X
                https://orcid.org/0000-0002-0153-494X
                https://orcid.org/0000-0002-7906-698X
                https://orcid.org/0000-0002-0757-9305
                Article
                Publisher ID: 380
                DOI: 10.30953/thmt.v8.380
                SO-VID: c16bb92a-6290-4353-9bf2-a5f1fc48c908
                Copyright © © 2022 Jiang Li et al.
                License:

                This is an open access article distributed in accordance with the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) license, which permits others to distribute, adapt, enhance this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.

                History
                Date received : 01 November 2022
                Date accepted : 12 November 2022
                Categories
                Subject: OPINION/PERSPECTIVE/POINT OF VIEW

                ScienceOpen disciplines: Social & Information networks,General medicine,General life sciences,Health & Social care,Public health,Hardware architecture
                Keywords: telehealth,telemedicine,healthcare,digital platforms,electronic medical records,prediction,artificial intelligence
                Data availability:
                ScienceOpen disciplines: Social & Information networks, General medicine, General life sciences, Health & Social care, Public health, Hardware architecture
                Keywords: telehealth, telemedicine, healthcare, digital platforms, electronic medical records, prediction, artificial intelligence

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