In this episode, host Sandy Vance and Ted Dinsmore discuss the ever-evolving role of AI in healthcare, industry trends, challenges, and solutions. They explore the concept of agentic AI and the Model Context Protocol (MCP), which aims to enhance data integration and efficiency in healthcare systems. They also highlight the importance of building trust in AI solutions, particularly in rural healthcare settings. Listen in to learn how SphereGen is addressing these challenges through innovative AI implementation approaches.

In this episode, they talk about:

• Latest AI trend: agentic AI and bots, and MCP in the healthcare industry

• MCP allows us to speed up that integration

• Trust is a huge issue when you're having an impact on the patient

• The benefits of using MCP for hospitals and patients

• The concerns about the changes and cuts to rural healthcare

• The most common use cases when transitioning: eligibility, prior authorization, and denials management

• The effects on how healthcare systems are doing business with EHRs

• Next big use cases and what’s coming up next

• Solving challenges in rural healthcare over the next few years

• How rural healthcare and homecare are tied

• At the end of the day, it’s all about how AI can help free up time for people

A Little About Ted:

Ted Dinsmore is the President of SphereGen Technologies, located in New Haven, Connecticut, Toronto, Canada, and Pune, India. SphereGen is a software consulting firm that develops and supports custom software solutions for clients in AI and Automation, Application Development, and Extended Reality (AR, VR, MR). His experience in the world of IT spans over 30 years.

When Ted started his first consulting firm, he became invested in developing and supporting Microsoft solutions for large multinational companies. Wanting to stay at the forefront of emerging technologies, his current company, SphereGen, embraces the world of AI/Automation and Mixed Reality (MR). SphereGen focuses on improving processes for healthcare organizations by leveraging innovative technologies, along with partners UiPath and Microsoft, to solve business problems.

AI is revolutionizing how health information is managed. Utilizing sophisticated algorithms, it can assist professionals in making more informed decisions. For instance, optical character recognition (OCR) can read and interpret medical records, identifying potential compliance issues and ensuring every page represents the correct patient. 

In this episode, host Sandy Vance chats with Anupriyo Chakravarti, the Chief Technology and Product Officer at Verisma, about how healthcare organizations can use intelligent automation to reduce risk and uncover compliance gaps in order to free staff to work at the top of their license. 

In this episode, they talk about:

• What Verisma can do for healthcare organizations

• Use case examples

• Some of the risks Verisma mitigates by finding missteps like unauthorized disclosures 

• AI is taking over the world of informatics

• Enabling people to work at the top of their license is critical

• People are not anti-AI, they are anti-opacity

A Little About Anupriyo:

Anupriyo Chakravarti joined Verisma Systems, Inc. in 2017 as the Senior Vice President of Research and Development. Anupriyo brings 25 years of experience as a highly effective leader in healthcare IT product management and software development for Fortune 500 companies and startups. Anupriyo joined Verisma after serving as vice president of product management and marketing at McKesson, where he led the product management and marketing functions of the Extended Care Services (ECS) business unit. Before McKesson, he worked for 11 years at Surgical Information Systems (SIS), where he led software development, and ultimately product management, to deliver solutions for the surgery and anesthesia departments at health systems and ambulatory surgery centers. Prior to working with SIS, Anupriyo worked for Arthur Andersen, Ryder Dedicated Logistics, IBM and TATA Motors. Anupriyo has a bachelor’s degree in mechanical engineering from IIT Roorkee in India.   

The data necessary to achieve the promise of precision medicine are now available with low-cost whole-genome sequencing, microbiome analysis, proteomics, and other large datasets. Bioscope has developed a team of AI personas to help clinicians realize that promise in a way that will revolutionize the practice of medicine.

In this episode, Sandy Vance speaks with Don Brown, MD, Founder and CEO of Bioscope, about how AI and large-scale biological data are converging to make precision medicine practical for clinicians. They explore Don’s entrepreneurial journey, the origins of Bioscope, and how a subscription-based, clinician-first approach is shaping the future of personalized care.

In this episode, they talk about:

• Don Brown’s unconventional journey from double-wide to CEO of a groundbreaking company

• The inspiration behind founding Bioscope and the problem it was created to solve

• How Don’s “entrepreneurial bat signal” attracted talent, partners, and early momentum

• Why Bioscope began by partnering with concierge medical practices rather than large health systems

• How Bioscope’s per-patient, per-year subscription model works in practice

• Real-world use cases and early case studies demonstrating clinical impact

• What the current early rollout looks like and where Bioscope is headed next

A Little About Don:

Don Brown, MD, is a serial software entrepreneur, physician, and leader in precision medicine. Over his career, he has founded and scaled multiple groundbreaking technology companies, including Software Artistry, Interactive Intelligence, LifeOmic, and most recently Bioscope.AI. His companies have collectively generated billions in value through public offerings and acquisitions by organizations such as IBM, Genesys, and Fountain Life. In addition to his entrepreneurial work, Don is an active advisor, investor, and philanthropist, including a $30 million gift that established the Brown Immunotherapy Center at Indiana University School of Medicine.

Don holds a bachelor’s degree in physics and a master’s degree in computer science from Indiana University, an MD from Indiana University School of Medicine, and a master’s degree in biotechnology from Johns Hopkins University. A lifelong learner, he is fluent in multiple languages, an instrument-rated pilot, an avid outdoorsman, and the author of Understanding Life. He currently serves as Founder and CEO of Bioscope.AI, where he is focused on transforming how clinicians use data to deliver personalized care.