This is an excerpt of the publication “Data-Driven Health Care (DDHC)”, with the title above, focusing on the topic in question.
Infosys
Venky Ananth, and Lakshmi Prabha M
2019
Edited by
Joaquim Cardoso MSc.
Health Revolution Institute
Data Health Unit
June 27, 2022
Health care data of all kinds is being generated both inside and outside the health care industry.
And with more health care data available comes more opportunities for data analysis to be a kind of silver bullet to help solve the industry’s problems.
Growing evidence indicates that, when used holistically, data analysis can improve health care prediction, disease prevention and personalization of health care.
It can also help with operational design and cost containment by making service provision more targeted and efficient.
The industry is already generating a lot of high-quality data about patients and service provision, thanks to the digital initiatives that have been implemented over the past decade.
Meanwhile, patients themselves can create and monitor their health data through readily available wearable consumer technology.
Figure 1 shows how different types of data align with the health care journey.
Figure 1. Data sources for holistic health care
- Self-monitoring
- Consultation
- Diagnostic / Clinical Tests
- Treatment
- After Care Management
Source: Infosys
At the macro level, data is also collected by governments and community organizations, aiding understanding of how population, demographic and environmental factors affect health.
For example, the U.S. Department of Commerce has data on patients, the census and the weather.[2]
The Centers for Medicare & Medicaid Services collects health-related data primarily from claims and from patients.
This publicly available information can be used by health care stakeholders to understand trends and stratify population risks.
The health care data could be processed and analyzed holistically to truly improve health outcomes and operational efficiency for health care providers.
However, barriers such as a culture of mistrust over data sharing are preventing this from happening.
To overcome barriers, health care players are starting to partner across the ecosystem and with technology companies.
And in the process, they are building new business models based on the value of data.
At the same time, privacy and trust issues are beginning to be tackled. But more needs to be done to effect significant change in data security across the industry.
About the authors
Venky Ananth
Senior Vice President — Infosys
Lakshmi Prabha M
Infosys Knowledge Institute
References and additional information
See the original publication.
Originally published at https://www.infosys.com
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