The VSP Global Innovation Center Spotlights the Future of Generative AI in Healthcare

Generative Artificial Intelligence (AI) exploded onto the scene the day ChatGPT was released to the public and its unprecedented level of adoption has birthed an entire industry. Although the technology’s sheer growth, in both usage and valuation, has generated a tremendous amount of hype, it’s already beginning to demonstrate how it can reimagine the healthcare industry in new and exciting ways.

In the VSP Global Innovation Center’s latest Futurist Report, The Future of Generative AI in Healthcare, we spotlight the current topics and startups behind the technology’s possibilities and potential, as well as how it may impact and intersect with vision care.

Here are the five rising trends that will shape the future of generative AI in healthcare:

1. In-Practice Solutions Alleviate Provider Burnout: By using generative AI-powered co-pilots and data retrieval to augment operation flows within their practices, providers will be able to streamline processes to create more time in their day to treat patients. 
2. System Cohesion Makes Shared Care Possible: New AI solutions will improve efficiency across the many moving parts of the healthcare and vision care systems, while other startups and technologies will focus on specific components, such as accelerating clinical trials or translating unstructured data at scale. This will have a ripple effect on the healthcare industry, making it more cohesive and less expensive to run.
3. Empowered Patients Prompt Better Outcomes:  Supported by new AI tools, such as next-gen chatbots and symptom checkers, a future is possible where patients will move from being simply recipients of treatment to active participants in their care journey, leading to improved outcomes. 
4. Embedded Generative AI Transforms Medical Devices: Within medical imaging tools, generative AI presents opportunities to automate and improve the accuracy of medical image analysis, such as retinal scans, helping power precise diagnosis, treatment planning, and disease monitoring.
5. “Big, Bad AI” Supports Good Behavior: AI tools have been known to perpetuate bias, discriminate against certain demographics, and pose privacy risks. However, AI also has the potential to do good, from improving bedside manners to protecting patient privacy.

These trends illustrate how the impact of generative AI could reverberate across the healthcare and
vision care industries by taking on the burden of time-consuming administration, assisting in disease
detection, and improving the quality of care.

Access the full Future of Generative AI in Healthcare Report here.