Literature DB >> 34850933

Emerging digital technologies in cancer treatment, prevention, and control.

Bradford W Hesse1, Dominika Kwasnicka2, David K Ahern3.   

Abstract

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. © Society of Behavioral Medicine 2021. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Behavioral informatics; Cancer control; Digital health; Prevention; Technology

Mesh:

Year:  2021        PMID: 34850933      PMCID: PMC8824462          DOI: 10.1093/tbm/ibab033

Source DB:  PubMed          Journal:  Transl Behav Med        ISSN: 1613-9860            Impact factor:   3.626


  82 in total

1.  How common are electronic health records in the United States? A summary of the evidence.

Authors:  Ashish K Jha; Timothy G Ferris; Karen Donelan; Catherine DesRoches; Alexandra Shields; Sara Rosenbaum; David Blumenthal
Journal:  Health Aff (Millwood)       Date:  2006-10-11       Impact factor: 6.301

2.  An Observational Study of Deep Learning and Automated Evaluation of Cervical Images for Cancer Screening.

Authors:  Liming Hu; David Bell; Sameer Antani; Zhiyun Xue; Kai Yu; Matthew P Horning; Noni Gachuhi; Benjamin Wilson; Mayoore S Jaiswal; Brian Befano; L Rodney Long; Rolando Herrero; Mark H Einstein; Robert D Burk; Maria Demarco; Julia C Gage; Ana Cecilia Rodriguez; Nicolas Wentzensen; Mark Schiffman
Journal:  J Natl Cancer Inst       Date:  2019-09-01       Impact factor: 13.506

3.  Building the infrastructure to accelerate evidence-generating mobile and wireless health research: National Institutes of Health and National Science Foundation perspectives.

Authors:  Dana L Wolff-Hughes; Richard Conroy; James J McClain; Wendy J Nilsen; William T Riley
Journal:  Transl Behav Med       Date:  2018-03-01       Impact factor: 3.046

4.  The epic battle against coronavirus misinformation and conspiracy theories.

Authors:  Philip Ball; Amy Maxmen
Journal:  Nature       Date:  2020-05       Impact factor: 49.962

5.  Communicating advanced cancer patients' symptoms via the Internet: a pooled analysis of two randomized trials examining caregiver preparedness, physical burden, and negative mood.

Authors:  Ming-Yuan Chih; Lori L DuBenske; Robert P Hawkins; Roger L Brown; Susan K Dinauer; James F Cleary; David H Gustafson
Journal:  Palliat Med       Date:  2012-09-17       Impact factor: 4.762

6.  End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography.

Authors:  Diego Ardila; Atilla P Kiraly; Sujeeth Bharadwaj; Bokyung Choi; Joshua J Reicher; Lily Peng; Daniel Tse; Mozziyar Etemadi; Wenxing Ye; Greg Corrado; David P Naidich; Shravya Shetty
Journal:  Nat Med       Date:  2019-05-20       Impact factor: 53.440

7.  Scrolling for data or doom during COVID-19?

Authors:  Paige Paulsen; Daniel Fuller
Journal:  Can J Public Health       Date:  2020-07-08

Review 8.  Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives.

Authors:  Jia Xu; Pengwei Yang; Shang Xue; Bhuvan Sharma; Marta Sanchez-Martin; Fang Wang; Kirk A Beaty; Elinor Dehan; Baiju Parikh
Journal:  Hum Genet       Date:  2019-01-22       Impact factor: 4.132

9.  Benefits of Mobile Apps for Cancer Pain Management: Systematic Review.

Authors:  Caiyun Zheng; Xu Chen; Jing Yang; Lizhu Weng; Ling Guo; Haiting Xu; Meimei Lin; Yan Xue; Xiuqin Lin; Aiqin Yang; Lili Yu; Zenggui Xue
Journal:  JMIR Mhealth Uhealth       Date:  2020-01-23       Impact factor: 4.773

Review 10.  What Does It Take to Be an Effective National Steward of Digital Health Integration for Health Systems Strengthening in Low- and Middle-Income Countries?

Authors:  Michael J Frost; Jacqueline B Tran; Fatema Khatun; Ingrid K Friberg; Daniela C Rodríguez
Journal:  Glob Health Sci Pract       Date:  2018-10-10
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  1 in total

1.  Behavioral medicine, cancer control, and NCI: reflections on a fruitful past and auspicious future.

Authors:  William M P Klein
Journal:  Transl Behav Med       Date:  2021-11-30       Impact factor: 3.046

  1 in total

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