ArticleJournal of healthcare engineering2018
Modeling Medical Services with Mobile Health Applications.
Article in Journal of healthcare engineering, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Increasing the Uptake of Breast and Cervical Cancer Screening Via the MAwar Application: Stakeholder-Driven Web Application Development Study.JMIR formative research · 2025Article
- Health professionals' use of smartphone apps for clients with low back pain: an observational study.Primary health care research & development · 2025Observational
- Navigating Sensitive Conversations: Patient-Centered Communication and Politeness Markers in Chinese Online Medical Consultations.Healthcare (Basel, Switzerland) · 2024Article
- Implementation of an mHealth App to Promote Engagement During HIV Care and Viral Load Suppression in Johannesburg, South Africa (iThemba Life): Pilot Technical Feasibility and Acceptability Study.JMIR formative research · 2022Article
- The Clinical Application and Prospect of Smart Prenatal Care and Postpartum Recovery.Journal of healthcare engineering · 2021Review
- Software Framework for the Creation and Application of Personalized Bone and Plate Implant Geometrical Models.Journal of healthcare engineering · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid development of mobile health technology (m-Health) provides unprecedented opportunities for improving health services. As the bridge between doctors and patients, mobile health applications enable patients to communicate with doctors through their smartphones, which is becoming more and more popular among people. To evaluate the influence of m-Health applications on the medical service market, we propose a medical service equilibrium model. The model can balance the supply of doctors and demand of patients and reflect possible options for both doctors and patients with or without m-Health applications in the medical service market. In the meantime, we analyze the behavior of patients and the activities of doctors to minimize patients' full costs of healthcare and doctors' futility. Then, we provide a resolution algorithm through mathematical reasoning. Lastly, based on artificially generated dataset, experiments are conducted to evaluate the medical services of m-Health applications.
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Registered trials
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.