Webinar, Panel
HealthTech Innovations: Building Tech-Infused Healthcare Systems for a Post COVID-19 World
- Telehealth adoption is projected to become a permanent fixture, driven by patient recognition of efficiency and a shift in government reimbursement policies expected to expand from Hubei to the rest of China, reversing a "six months to a year" adoption timeline to immediate implementation requirements in the coming months.
- Technology is anticipated to play a fundamental role in bridging the gap between China's current per capita health spending of $700 and global standards of $4,000 to $11,000, though the system may struggle to affordably calibrate to these levels without fundamental transformation.
- Rapid advancements in hardware and AI are expected to fill current gaps, including the emergence of handheld viral identification devices delivering results in 10 to 20 minutes and AI visual analysis capable of identifying 30 disease types from retinal scans or detecting lung cancers in X-rays and CT scans.
- Operational efficiencies are forecast to drastically reduce patient waiting times from 1.5 to 2 hours to approximately eight minutes, while shifting the medical model from reactive to proactive care that preserves individuals in a "status of being healthy" through multi-dimensional profiling and data tracking.
- Strategic shifts include transforming wellness programs from one-size-fits-all to targeted interventions using data analytics, integrating digital symptom checkers with offline clinics for holistic journeys, and utilizing low-cost devices like digital stethoscopes to simulate in-person interactions.
- Collaboration across health systems, governments, payers, and providers is deemed essential for transformation, with leadership from health authorities required to align objectives and establish telemedicine infrastructure as a secure backbone for individual-controlled health records.
- Risks and challenges include the difficulty in explaining "black box" AI decisions to patients, the current inability of traditional medical systems to transform digitally due to infrastructure and knowledge deficits, and obstacles related to data hoarding and lack of sharing in existing storage infrastructure.
- Future validation of multi-dimensional health tracking relies on strong evidence from large community datasets, while medical decision-making is expected to remain primarily with doctors using data as supportive evidence rather than a replacement for judgment.
- Pandemic effects are expected to catalyze these changes further, representing only the beginning of a larger wave of opportunities involving AI, machine learning, and personalization, with the Milken Institute planned to return in July for a new series on US, China, and ESG issues.