Becker’s Healthcare Podcast: Unlocking AI’s Potential in Healthcare with Shreya Kapoor, CEO of MedSetGo
Release Date: June 25, 2025
Introduction
In the latest episode of the Becker’s Healthcare Podcast, host Jacob Emerson engages in a compelling discussion with Shreya Kapoor, the CEO and Founder of MedSetGo. The conversation, recorded at Becker's 15th Annual Hospital Meeting in Chicago, delves into the transformative role of Artificial Intelligence (AI) in the healthcare sector. Shreya shares her insightful journey, the mission behind MedSetGo, and the current landscape of AI integration in healthcare systems.
Shreya Kapoor’s Journey and MedSetGo’s Mission
Background and Motivation
Shreya Kapoor opens up about her extensive background in healthcare and technology. Growing up in the tech-centric San Francisco area, she pursued her academic career at Johns Hopkins, earning degrees in undergrad, medical school, and an MBA. Her firsthand experiences during the COVID-19 pandemic, including personal losses and witnessing the inefficiencies in patient discharge processes, fueled her passion for leveraging technology to enhance patient care.
Establishing MedSetGo
“At MedSetGo, we are building the first AI case manager,” Shreya explains (00:36). With an impressive $3.5 billion raised, MedSetGo aims to revolutionize patient discharge coordination, mitigating delays and reducing hospital-acquired infections by streamlining post-discharge processes. Shreya’s initiative during the pandemic, which involved mobilizing medical schools to support international aid and implementing rapid testing programs, demonstrates her capability to manage large-scale projects that have a substantial impact on thousands of lives.
Current State of AI in Healthcare
Excitement and Challenges
During the conference, Shreya observes a palpable excitement among healthcare leaders about AI’s potential. However, she acknowledges that many organizations are still in the nascent stages of AI adoption. “Traditionally, healthcare has lagged in innovating... but this is not a question of if it’s going to happen, but when,” Shreya asserts (03:35).
Barriers to Adoption
Shreya identifies key barriers hindering the widespread adoption of AI in healthcare:
- Data Privacy and Security: Ensuring patient data is protected is paramount, complicating the integration of AI systems.
- Siloed Data Systems: Fragmented Electronic Medical Records (EMRs) across different departments or institutions present significant challenges for AI implementation.
- Infrastructure Limitations: Effective AI requires robust data infrastructure, which many healthcare facilities currently lack.
Building AI Models in Healthcare
Integrating Data Infrastructure
Shreya emphasizes the importance of establishing a solid data infrastructure before training AI models. “You can't train smart algorithms on dumb infrastructure,” she states (05:03). MedSetGo’s approach involves connecting disparate data sources within a hospital system to create a comprehensive patient narrative. This interconnectedness allows AI to efficiently search, summarize, and exchange clinical information, enhancing both clinical and administrative workflows.
Practical Implementation
MedSetGo has implemented its AI case manager in a San Diego hospital system, resulting in significant operational improvements. Shreya shares, “Patients are being discharged four hours faster,” and “we are replacing 1 to 1.5 FTEs worth of time at the hospital setting” (07:03). This not only translates to cost savings but also reduces overcrowding in emergency departments, ensuring that more patients receive timely care.
Industry Trends and Future Directions
Current Trends
Shreya observes a proliferation of AI solutions in the healthcare sector, with many companies branding their products as AI-driven. She advises healthcare leaders to focus on actionable AI applications rather than being swayed by the AI hype. “If you can use AI to predict discharge... then you can smartly place patients from your hospital to the post-acute space,” she explains (06:52).
Strategic Advice for Healthcare Leaders
- Pilot Programs: Shreya recommends treating AI implementation like clinical trials—start small, assess effectiveness, and scale what works.
- Target Low-Hanging Fruit: Focus on areas with significant manual processes, such as scribing, triaging, and discharge planning, to achieve immediate efficiencies.
- Collaborative Efforts: Encourage different stakeholders within the healthcare system to collaborate, breaking down traditional silos to maximize AI’s potential.
Closing Insights and Call to Action
In her concluding remarks, Shreya urges healthcare leaders to embrace AI proactively. “Give it a chance... somebody else will” she advises, highlighting the inevitability and necessity of AI integration in healthcare (09:36). By adopting an AI-first mindset and leveraging solutions like MedSetGo’s AI case manager, healthcare institutions can significantly enhance patient care and operational efficiency.
Key Takeaways
- AI is Inevitable: Healthcare systems must prepare for AI integration as it becomes a cornerstone of modern patient care and administrative operations.
- Data Integration is Crucial: Effective AI solutions require comprehensive and interconnected data infrastructures.
- Practical Applications Yield Results: Focusing on specific areas like discharge planning can lead to immediate and measurable improvements.
- Collaborative Approach: Breaking down silos and fostering cooperation among various healthcare stakeholders is essential for successful AI implementation.
Notable Quotes
- Shreya Kapoor on AI’s Role: “This is not a question of if it's going to happen, but when.” (03:35)
- On Building AI Infrastructure: “You can't train smart algorithms on dumb infrastructure.” (05:03)
- Impact of MedSetGo Implementation: “Patients are being discharged four hours faster.” (07:03)
- Advice to Leaders: “Give it a chance... somebody else will.” (09:36)
Conclusion
Shreya Kapoor’s insights highlight the transformative potential of AI in healthcare, particularly in streamlining patient discharge processes and enhancing overall operational efficiency. As AI continues to evolve, healthcare leaders must embrace these technologies, overcome existing barriers, and collaborate across departments to unlock AI’s full potential in delivering superior patient care.
For more in-depth discussions and industry-leading insights, visit Becker's Healthcare Podcast.
Transcript Reference: Timestamps indicate the minute and second within the podcast.