Use-case for a DDHE
In the last blog, I discussed with a colleague could Web 3.0 emerging technologies build a decentralized distributed healthcare ecosystem (DDHE). We agreed, yes! But why? To answer that we must explore healthcare use-cases and their challenges, then contrast between current and emerging technology for that answer.
Considering increasing demands for patient data by analytics and AI, use-cases like clinical trial patient cohort search, population management, operational & process improvement, predictive analytics, medication management and decision support come to mind. Reminiscing on past projects, a requirement for “data-driven” use-cases that repeatedly comes up is the need for a longitudinal patient record (LPR) store. This blog focuses on how LPRs are built with current technology and in subsequent blogs we’ll explore how with blockchain, IPFS and open metadata we could rebuild LPRs.
Market research reports the clinical trial market is projecting to be at $65 billion by 2025. The reality that no clinical trial succeeds without patients, puts enormous pressure on finding enough patients with just the right clinical profile. Currently, finding patient cohorts can be difficult, time-consuming and therefore expensive. Having an LPR store can mitigate much of the expense. Hospital enterprises without the proper system integration infrastructure for an LPR, require researchers and IT…
