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      Current challenges and potential solutions to the use of digital health technologies in evidence generation: a narrative review

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          Abstract

          Digital health is a field that aims to improve patient care through the use of technology, such as telemedicine, mobile health, electronic health records, and artificial intelligence. The aim of this review is to examine the challenges and potential solutions for the implementation and evaluation of digital health technologies. Digital tools are used across the world in different settings. In Australia, the Digital Health Translation and Implementation Program (DHTI) emphasizes the importance of involving stakeholders and addressing infrastructure and training issues for healthcare workers. The WHO's Global Task Force on Digital Health for TB aims to address tuberculosis through digital health innovations. Digital tools are also used in mental health care, but their effectiveness must be evaluated during development. Oncology supportive care uses digital tools for cancer patient intervention and surveillance, but evaluating their effectiveness can be challenging. In the COVID and post-COVID era, digital health solutions must be evaluated based on their technological maturity and size of deployment, as well as the quality of data they provide. To safely and effectively use digital healthcare technology, it is essential to prioritize evaluation using complex systems and evidence-based medical frameworks. To address the challenges of digital health implementation, it is important to prioritize ethical research addressing issues of user consent and addressing socioeconomic disparities in access and effectiveness. It is also important to consider the impact of digital health on health outcomes and the cost-effectiveness of service delivery.

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          The Missing Diversity in Human Genetic Studies

          The majority of studies of genetic association with disease have been performed in Europeans. This European bias has important implications for risk prediction of diseases across global populations. In this commentary, we justify the need to study more diverse populations using both empirical examples and theoretical reasoning.
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            Big data and machine learning algorithms for health-care delivery

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              Digital Health Strategies to Fight COVID-19 Worldwide: Challenges, Recommendations, and a Call for Papers

              The coronavirus disease (COVID-19) pandemic has created an urgent need for coordinated mechanisms to respond to the outbreak across health sectors, and digital health solutions have been identified as promising approaches to address this challenge. This editorial discusses the current situation regarding digital health solutions to fight COVID-19 as well as the challenges and ethical hurdles to broad and long-term implementation of these solutions. To decrease the risk of infection, telemedicine has been used as a successful health care model in both emergency and primary care. Official communication plans should promote facile and diverse channels to inform people about the pandemic and to avoid rumors and reduce threats to public health. Social media platforms such as Twitter and Google Trends analyses are highly beneficial to model pandemic trends as well as to monitor the evolution of patients’ symptoms or public reaction to the pandemic over time. However, acceptability of digital solutions may face challenges due to potential conflicts with users’ cultural, moral, and religious backgrounds. Digital tools can provide collective public health benefits; however, they may be intrusive and can erode individual freedoms or leave vulnerable populations behind. The COVID-19 pandemic has demonstrated the strong potential of various digital health solutions that have been tested during the crisis. More concerted measures should be implemented to ensure that future digital health initiatives will have a greater impact on the epidemic and meet the most strategic needs to ease the life of people who are at the forefront of the crisis.
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                Author and article information

                Contributors
                Journal
                Front Digit Health
                Front Digit Health
                Front. Digit. Health
                Frontiers in Digital Health
                Frontiers Media S.A.
                2673-253X
                28 September 2023
                2023
                : 5
                : 1203945
                Affiliations
                [ 1 ]Department of Public Health, Health Services Academy, Islamabad , Pakistan
                [ 2 ]Department of Internal Medicine, Allama Iqbal Medical College, Lahore , Pakistan
                [ 3 ]Department of Internal Medicine, Shalamar Medical & Dental College, Lahore , Pakistan
                [ 4 ]Department of Internal Medicine, Khyber Medical College, Peshawar , Pakistan
                [ 5 ]Department of Internal Medicine, Dow University of Health Sciences, Karachi , Pakistan
                [ 6 ]Department of Internal Medicine, Baroda Medical College, Gujrat , India
                [ 7 ]Department of Medicine, Ziauddin University, Karachi , Pakistan
                Author notes

                Edited by: Lisette van Gemert-Pijnen, University of Twente, Netherlands

                Reviewed by: Khizra Sultana, King Abdullah International Medical Research Center (KAIMRC), Saudi Arabia

                [* ] Correspondence: Muhammad Saqib muhammadsaqib.drkmc@ 123456gmail.com
                [ † ]

                ORCID Hassan Mumtaz orcid.org/0000-0003-2881-2556 Hassan Sohail orcid.org/0000-0003-3645-6416

                Article
                10.3389/fdgth.2023.1203945
                10568450
                37840685
                a9d77e85-22b1-492f-9be1-44c3e350c4d0
                © 2023 Mumtaz, Riaz, Wajid, Saqib, Zeeshan, Khan, Chauhan, Sohail and Vohra.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 11 April 2023
                : 12 September 2023
                Page count
                Figures: 2, Tables: 0, Equations: 0, References: 35, Pages: 0, Words: 0
                Categories
                Digital Health
                Mini Review
                Custom metadata
                Health Technology Implementation

                socioeconomic disparities in health,telemedicine,artificial intelligence,privacy,pandemics,humans

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