» Articles » PMID: 31947558

Technical Blossom in Medical Care: The Influence of Big Data Platform on Medical Innovation

Overview
Publisher MDPI
Date 2020 Jan 18
PMID 31947558
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

Medical innovation has consistently been an essential subject and a source of support for public health research. Furthermore, improving the level of medical research and development is of great concern in this field. This paper highlights the role of big data in public medical innovation. Based on a sample of China's listed firms in the medical industry from 2013 to 2018, this paper explores the exogenous shock effect of China's big data medical policy. Results show that the construction of the medical big data platform effectively promotes innovation investment and the innovation patent of medical firms. In addition, the heterogeneity of this promoting effect is reflected in firm size through the overcoming of different innovation bottlenecks. The research conclusions support the positive significance of the macro-led implementation of the medical big data platform, and suggest that the positive economic externalities generated by this policy are critical to public health.

Citing Articles

The Moderating Effects of Social Responsibility Climate and Safety Climate in Keeping Healthcare Workers' Engagement during COVID-19.

Ding B, Miao T Healthcare (Basel). 2023; 11(8).

PMID: 37107911 PMC: 10138047. DOI: 10.3390/healthcare11081077.


A Real-Time Artificial Intelligence-Assisted System to Predict Weaning from Ventilator Immediately after Lung Resection Surgery.

Chang Y, Hung K, Wang L, Yu C, Chen C, Tay H Int J Environ Res Public Health. 2021; 18(5).

PMID: 33800239 PMC: 7967444. DOI: 10.3390/ijerph18052713.


Social innovation for life expectancy extension utilizing a platform-centered system used in the Iwaki health promotion project: A protocol paper.

Nakaji S, Ihara K, Sawada K, Parodi S, Umeda T, Takahashi I SAGE Open Med. 2021; 9:20503121211002606.

PMID: 33796303 PMC: 7985939. DOI: 10.1177/20503121211002606.


Data Analysis Model Design of Health Service Monitoring System for China's Elderly Population: The Proposal of the F-W Model Based on the Collaborative Governance Theory of Healthy Aging.

Fu L, Teng T, Wang Y, He L Healthcare (Basel). 2020; 9(1).

PMID: 33374838 PMC: 7823760. DOI: 10.3390/healthcare9010009.

References
1.
Lee D, Park M, Chang S, Ko H . Protecting and Utilizing Health and Medical Big Data: Policy Perspectives from Korea. Healthc Inform Res. 2019; 25(4):239-247. PMC: 6859269. DOI: 10.4258/hir.2019.25.4.239. View

2.
Verbrugghe W, Colpaert K . The electronic medical record: Big data, little information?. J Crit Care. 2019; 54:298-299. DOI: 10.1016/j.jcrc.2019.09.005. View

3.
Perry P . Harnessing the power of big data and data analysis to improve healthcare entities. Healthc Financ Manage. 2016; 70(1):74-5. View

4.
Tucker T, Makgoba M . Public health. Public-private partnerships and scientific imperialism. Science. 2008; 320(5879):1016-7. DOI: 10.1126/science.1156720. View

5.
Paul S, Mytelka D, Dunwiddie C, Persinger C, Munos B, Lindborg S . How to improve R&D productivity: the pharmaceutical industry's grand challenge. Nat Rev Drug Discov. 2010; 9(3):203-14. DOI: 10.1038/nrd3078. View