Emerging digital technologies in cancer treatment, prevention, and control
Author(s) -
Bradford W. Hesse,
Dominika Kwaśnicka,
David K. Ahern
Publication year - 2021
Publication title -
translational behavioral medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.819
H-Index - 39
eISSN - 1869-6716
pISSN - 1613-9860
DOI - 10.1093/tbm/ibab033
Subject(s) - emerging technologies , health psychology , medicine , legislation , translational research , cancer prevention , public relations , public health , cancer , political science , computer science , pathology , artificial intelligence , law
The very first issue of the journal of Translational Behavioral Medicine (TBM) was dedicated, in part, to the theme of Health Information Technology as a platform for evidence implementation. The topic was timely: legislation in the USA was passed with the intent of stimulating the adoption of electronic health records; mobile smartphones, tablets, and other devices were gaining traction in the consumer market, while members within the Society of Behavioral Medicine were gaining scientific understanding on how to use these tools to effect healthy behavior change. For the anniversary issue of TBM, we evaluated the progress and problems associated with deploying digital health technologies to support cancer treatment, prevention, and control over the last decade. We conducted a narrative review of published literature to identify the role that emerging digital technologies may take in achieving national and international objectives in the decade to come. We tracked our evaluation of the literature across three phases in the cancer control continuum: (a) prevention, (b) early detection/screening, and (c) treatment/survivorship. From our targeted review and analyses, we noted that significant progress had been made in the adoption of digital health technologies in the cancer space over the past decade but that significant work remains to be done to integrate these technologies effectively into the cancer control systems needed to improve outcomes equitably across populations. The challenge for the next 10 years is inherently translational.
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