Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70316, first published .
Advancing Digital Health Integration in Oncology

Advancing Digital Health Integration in Oncology

Advancing Digital Health Integration in Oncology

Authors of this article:

Rai Muhammad Umar Khan1 Author Orcid Image ;   Hassan Tariq1 Author Orcid Image

Letter to the Editor

Punjab Medical College, Faisalabad Medical University, Faisalabad, Pakistan

*all authors contributed equally

Corresponding Author:

Rai Muhammad Umar Khan, MBBS

Punjab Medical College

Faisalabad Medical University

Sargodha Road

Faisalabad, 38800

Pakistan

Phone: 92 41 9210080

Email: raimumerkhan@gmail.com



The study titled “User Experience and Extended Technology Acceptance Model in Commercial Health Care App Usage Among Patients With Cancer: Mixed Methods Study” by Park et al [1] provides valuable insights into how user experience, interface satisfaction, and external motivation affect the adoption of health care apps among patients with cancer. This work aligns with long-standing theories, such as those detailed by Davis [2], emphasizing that perceived usefulness and ease of use are crucial determinants of technology acceptance. By incorporating an expanded Technology Acceptance Model, Park et al [1] shed light on several key areas where digital health solutions can be optimized for oncological care.

The importance of user-oriented design is unmistakable. Satisfaction with an interface has been repeatedly linked to greater app engagement [2], and Park et al [1] confirm that clinicians’ endorsements bolster consistent usage patterns. Gaps in digital literacy, particularly among older populations, remain a pressing concern and necessitate further policy-level interventions to promote equitable access. Yet several emerging trends suggest that further innovation and collaboration could amplify the benefits of digital health apps in oncology.

Keesara et al [3] argue that the COVID-19 crisis catalyzed a “digital revolution” in health care, unveiling the potential for remote, app-based oncology services. Harnessing these developments may require additional training and infrastructure, especially in resource-limited settings where telehealth adoption remains uneven.

In a systematic review, Kruse et al [4] highlight that both patient and provider acceptance are crucial to sustaining digital solutions. While Park et al [1] primarily focus on patient factors, encouraging provider buy-in through institutional policies and workflow integration could markedly enhance long-term adherence and improve clinical outcomes.

Ammenwerth et al [5] show that electronic patient portals can encourage patient autonomy, enabling individuals to track health metrics, communicate with clinicians, and gain personalized insights. Expanding the features of health care apps beyond simple monitoring to include robust patient portals might address the digital divide, provided adequate educational support is offered.

To conclude, Park et al [1] have laid a solid foundation for understanding how patients with cancer adopt health care apps, emphasizing the centrality of user experience and clinician endorsement. However, broader integration of telemedicine advances, joint patient-provider acceptance, and interactive patient portal functionalities could drive higher engagement rates and better patient outcomes across diverse populations. Although the work provides a basis for assessing app use among Korean cancer survivors, its generalization to other populations needs to be further investigated. Moving forward, policy makers and health care organizations should focus on closing digital literacy gaps, incorporating patient portals, and reinforcing telehealth infrastructure, thus ensuring that digital oncology solutions effectively serve patients’ needs worldwide.

Acknowledgments

Jasper [6], an artificial intelligence–powered language model, has been used to paraphrase selected portions of the manuscript to enhance readability and clarity. The model version integrated into Jasper during the paraphrasing process was GPT-4. Essentially, the use of Jasper was limited to paraphrasing, with no generation of new content, and all scientific claims, data, and interpretations remain entirely our own, derived from rigorous research and analysis.

Conflicts of Interest

None declared.

  1. Park YE, Tak YW, Kim I, Lee HJ, Lee JB, Lee JW, et al. User experience and extended technology acceptance model in commercial health care app usage among patients with cancer: mixed methods study. J Med Internet Res. Dec 18, 2024;26:e55176. [FREE Full text] [CrossRef] [Medline]
  2. Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. Sep 1989;13(3):319. [CrossRef]
  3. Keesara S, Jonas A, Schulman K. COVID-19 and health care's digital revolution. N Engl J Med. Jun 04, 2020;382(23):e82. [CrossRef] [Medline]
  4. Kruse CS, Argueta DA, Lopez L, Nair A. Patient and provider attitudes toward the use of patient portals for the management of chronic disease: a systematic review. J Med Internet Res. Feb 20, 2015;17(2):e40. [FREE Full text] [CrossRef] [Medline]
  5. Ammenwerth E, Schnell-Inderst P, Hoerbst A. The impact of electronic patient portals on patient care: a systematic review of controlled trials. J Med Internet Res. Nov 26, 2012;14(6):e162. [FREE Full text] [CrossRef] [Medline]
  6. Jasper. URL: https://www.jasper.ai/ [accessed 2025-02-26]

Edited by T Leung; This is a non–peer-reviewed article. submitted 21.12.24; accepted 25.02.25; published 07.03.25.

Copyright

©Rai Muhammad Umar Khan, Hassan Tariq. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 07.03.2025.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research (ISSN 1438-8871), is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.