Evidence map›Paper›PMID 35640986›Full record

ArticleJournal of the National Cancer Institute2022

Digital Health Applications in Oncology: An Opportunity to Seize.

Ravi B Parikh, Karen M Basen-Enquist, Cathy Bradley, Deborah Estrin, Mia Levy, J Leonard Lichtenfeld, Bradley Malin, Deven McGraw, Neal J Meropol, Randall A Oyer and 2 more

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

44 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Effectiveness of virtual delivery of cancer education for patients: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  8. Beyond one-size-fits-all: mapping information-seeking and decision-making pathways in cancer care.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  9. Mobile apps for cancer patient education: a technology foresight analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Ravi B ParikhDivision of Hematology Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.ORCID 0000-0003-2692-6306
Karen M Basen-EnquistCenter for Energy Balance in Cancer Prevention and Survivorship, The University of Texas MD Anderson Cancer Center, Texas Medical Center, Houston, TX, USA.
Cathy BradleyDepartment of Health Systems, Management & Policy, University of Colorado Cancer Center, Aurora, CO, USA.ORCID 0000-0001-9429-6567
Deborah EstrinCornell Ann S. Bowers College of Computing and Information Science, Cornell University, New York, NY, USA.
Mia LevyDivision of Hematology, Oncology and Cell Therapy, Rush University, Chicago, IL, USA.
J Leonard LichtenfeldJasper Health, Atlanta, GA, USA.
Bradley MalinDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Deven McGrawCiitizen, Palo Alto, CA, USA.
Neal J MeropolFlatiron Health, New York, NY, USA.
Randall A OyerAnn B. Barshinger Cancer Institute, Lancaster, PA, USA.
Lisa Kennedy SheldonDepartment of Nursing, College of Nursing and Health Sciences, University of Massachusetts, Boston, MA, USA.
Lawrence N ShulmanDivision of Hematology Oncology, Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

CDC HHSNational Cancer Institute/National Institutes of Health
6 · The paper itself

Abstract

Digital health advances have transformed many clinical areas including psychiatric and cardiovascular care. However, digital health innovation is relatively nascent in cancer care, which represents the fastest growing area of health-care spending. Opportunities for digital health innovation in oncology include patient-facing technologies that improve patient experience, safety, and patient-clinician interactions; clinician-facing technologies that improve their ability to diagnose pathology and predict adverse events; and quality of care and research infrastructure to improve clinical workflows, documentation, decision support, and clinical trial monitoring. The COVID-19 pandemic and associated shifts of care to the home and community dramatically accelerated the integration of digital health technologies into virtually every aspect of oncology care. However, the pandemic has also exposed potential flaws in the digital health ecosystem, namely in clinical integration strategies; data access, quality, and security; and regulatory oversight and reimbursement for digital health technologies. Stemming from the proceedings of a 2020 workshop convened by the National Cancer Policy Forum of the National Academies of Sciences, Engineering, and Medicine, this article summarizes the current state of digital health technologies in medical practice and strategies to improve clinical utility and integration. These recommendations, with calls to action for clinicians, health systems, technology innovators, and policy makers, will facilitate efficient yet safe integration of digital health technologies into cancer care.

Indexed as

COVID-19NeoplasmsEcosystemHumansMedical OncologyPandemics

Identifiers

PMID35640986
PMCPMC9384132

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.