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Quest for Value Drivers of Digital Health Solutions in the Post COVID-19 Era

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601). This special issue belongs to the section "Health Care Sciences & Services".

Deadline for manuscript submissions: closed (31 January 2022) | Viewed by 696

Special Issue Editor


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Guest Editor
International Master Program Health Economics & Big Data (HEBDA), Kozminski University, 03-301 Warsaw, Poland
Interests: value assessment of digital health technologies; societal preferences; big data

Special Issue Information

Dear Colleagues,

According to some estimates, the size of the digital health market in 2019 will double by 2024 (Economist Dec 5th). We have observed that trend with our own eyes during the pandemic. The rapid implementation of telemedicine, remote patient monitoring, and other digital technologies in clinical practice clearly indicates the limitless potential of digital transformation. It raises, however, a key question on how to assess the value of data-driven innovation with respect to both public healthcare providers and patients. So far, there have been limited efforts to establish guidelines for the assessment of safety, effectiveness, and the organizational impact of digital technologies. The standards introduced for pricing and reimbursement in the pharmaceutical industry may not be applicable here. In contrast with pharmaceuticals, most of the time, data are the key drivers of innovation in digital solutions. A primary example is machine learning algorithms. Some additional requirements to assess robustness and risk of bias should be considered. The debate about the adoption of mobile applications for contact tracing exemplifies the issue of data privacy, as well. How to ensure the safe use of new types of information about patient health collected by wearables, sensors, and mobile applications raises another challenge. The interoperability of healthcare systems is required to ensure that multiple sources of information, including behavioral data, enrich the decision-making processes normally based on clinical data alone. Finally, the equity of access to healthcare is another important aspect to consider during the current digital transformation. The digital literacy of seniors and lower socioeconomic groups should be taken into account while assessing the value of data-driven innovation. Papers addressing these topics are invited to be submitted to this Special Issue, especially those combining a high academic standard with real-world experience in the implementation of digital health solutions in clinical practice.

Prof. Dr. Katarzyna Kolasa
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • digital health
  • pricing and reimbursement
  • value assessment
  • digital transformation
  • mobile health
  • telemedicine
  • patients' remote monitoring
  • health policy
  • cost-effectiveness

Published Papers

There is no accepted submissions to this special issue at this moment.
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