As the use of health AI products continues to grow, there is a growing concern about privacy and security. Investors are starting to support startups that provide these services as they await the development of crucial safety and privacy regulations. However, there is still uncertainty about measuring the quality of these products.
Cybersecurity experts have raised concerns about connecting third-party apps to health system networks, potentially exposing sensitive data to hackers amidst a surge in ransomware attacks. Health leaders are rapidly adopting generative AI products that can transcribe doctor-patient conversations or process vast amounts of scientific research. However, there is still uncertainty about measuring the quality of these products.
Regulators and industry groups are working to establish standards for responsible AI use. Various government agencies and industry groups are collaborating to create rules and recommendations to address bias and safety issues in medical AI. However, hospitals and startups are uncertain about the specific requirements and liability for any harm caused. It may take months or years for these overlapping rules from multiple federal agencies to be implemented, and they may continue to evolve as technology advances.
