This article was first published on iExec - Medium
DApp of the Week #08 — Heartify (A Blockchain and TEE Healthcare Use Case)
While we face the challenges of scattered big data and increasing medical costs, more and more healthcare organizations are looking into technology as a solution. For doctors, hospitals or research labs, it’s time to unlock the next wave of innovation that will bend the curve of healthcare economics and positively impact patients.
Currently within healthcare organizations, data sits across multiple parties and systems. These hundreds of thousands of different silos pose a great challenge for the exploitation of huge quantities of valuable data at our fingertips.
Building bridges between existing silos means we need to secure the confidentiality and privacy of patient data. The combination of emerging technologies such as blockchain and Trusted Execution Environments (TEEs) allow us to unlock the sharing and utilization of medical data, with the promise of yielding significant economic and social returns.
Currently, what are the barriers to healthcare data sharing?
- Privacy: It is essential to protect the clinical data of patients and to ensure privacy regulations are respected.
- Competition: Data is a strategic asset. Healthcare organizations therefore need to be able to share patient data within their communtities or consortia, while maintaining their competitive advantage.
- Culture: It is believed to some extent that being the only holder of a data asset creates more value. In reality, collaborating with each other leads to positive network effects and might even provide new revenue streams.
What are the benefits of healthcare data sharing?
- Improved patient care, decision-making and clinical outcomes: When crucial medical records are properly distributed to each segment of a patient’s treatment pathway, it results in better patient care.
- Unlocking data-hungry use cases: Genetic studies, cancer/chronic disease registries, substance abuse, population health management, larger-scale analytics, epidemiology/disease tracking are all potential uses for data sharing (1).
- Decreased healthcare costs...
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iExec - Medium