Healthcare Big Data and Innovation in Health Management

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Health Informatics and Big Data".

Deadline for manuscript submissions: closed (30 June 2024) | Viewed by 1486

Special Issue Editors


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Guest Editor
Institute of Regional Economics Research, School of Economics and Management, Wuhan University, Wuhan 430072, China
Interests: regional economy; urban innovation; sustainable development
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of of Urban and Regional Sciences, East China Normal University, Shanghai 200062, China
Interests: health geography; healthcare markets and policy effects; innovation in health management

Special Issue Information

Dear Colleagues,

With vast improvements in people's living conditions, increased awareness of health management and the aging of the population, the demand for medical and health services continues to expand. In addition, quantitative data are demonstrating explosive and geometric growth, and the efficiency of data analysis and management is thus being greatly enhanced. Healthcare big data is a crucial aspect of the future development of the digital economy, and plays a significant role in enhancing the quality and efficiency of healthcare services, promoting medical technology innovation, and securing the health and safety of older people. Simultaneously, the industry is also facing challenges in data standardization, data security and data privacy. It is necessary for all industry participants to jointly endeavor to establish and improve relevant laws, regulations and institutional norms to promote the healthy development of the healthcare big data industry. Data resources such as medical big data, health big data, biological big data, and business operation big data should be comprehensively employed to conduct in-depth research on the criteria used to judge the health status of each element, and to further analyze the paths and rules of the operation of each medical and healthcare element as well as their mutual influences. Based on the above considerations, we propose this Special Issue, which aims to collect empirical studies and theoretical contributions on healthcare big data and elderly health management, and to explore the problems of healthcare big data, health management, and population ageing. We welcome contributions from the fields of healthcare resource management, social security, demography, geography, and health economics.

The scope of this Special Issue includes (but is not limited to) the following:

  • Healthcare data standardization and applications;
  • Healthcare data security and privacy;
  • Healthcare big data and health economics;
  • Innovation in health management;
  • Population ageing and health promotion;
  • lderly services and social security;
  • Intelligent ageing and smart aging;
  • Health and medical market and policy effects.

Prof. Dr. Fei Fan
Prof. Dr. Chengliang Liu
Guest Editors

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Published Papers (1 paper)

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Research

16 pages, 3271 KiB  
Article
Effect of Online Clinic on Follow-Up Compliance and Survival Outcomes in Nasopharyngeal Carcinoma: Real-World Cohort Study from Endemic Area
by Siqi Chen, Chenyang Feng, Peng Sun, Jingrong Zhang and Hu Liang
Healthcare 2024, 12(14), 1452; https://doi.org/10.3390/healthcare12141452 - 21 Jul 2024
Viewed by 1022
Abstract
Nasopharyngeal carcinoma (NPC) requires regular follow-up to detect recurrence as early as possible. However, many patients are unable to regularly follow up due to the inconvenience of the conventional approach. Therefore, this study was designed to investigate the impact of the online clinic [...] Read more.
Nasopharyngeal carcinoma (NPC) requires regular follow-up to detect recurrence as early as possible. However, many patients are unable to regularly follow up due to the inconvenience of the conventional approach. Therefore, this study was designed to investigate the impact of the online clinic on follow-up compliance and prognosis in NPC patients. Patients who were first diagnosed with NPC between April 2019 and November 2019 were enrolled. Good follow-up compliance was defined as having at least one follow-up visit every 6 months within 2 years after treatment completion. Sensitivity analyses were performed using a propensity score matching model. A total of 539 (42%) patients used online follow-up while 731 (58%) used traditional follow-up. The median age of patients in the online cohort was lower than that in the traditional cohort (44 vs. 47, p < 0.001). Compared with the traditional cohort, the online cohort had significantly better follow-up compliance (57.3% vs. 17.1%, p < 0.001) and a higher 2-year PFS rate (98.1% vs. 94.4%, p = 0.003). Survival analysis showed that online follow-up was an independent factor for better survival prognosis (HR 0.39, 95%CI 0.20–0.74, p = 0.004). Sensitivity analysis further confirmed these results. Our study found that the online clinic increased follow-up compliance and improved prognosis in NPC patients. Full article
(This article belongs to the Special Issue Healthcare Big Data and Innovation in Health Management)
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