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There’s always been personalization for every patient, said Mudit Garg, CEO and cofounder of Qventus. But personalization at scale requires technology.
Over the last 10 to 20 years, many technical systems have been built that allow for mass personalization. For instance, every customer has a personalized experience with Amazon.
“I think that same approach can be applied to learning on each patient’s needs and their journey and anticipated path, but scaling the operational pieces in a way that it doesn’t require manually doing every step of that,” Garg said.
This unlocks opportunity and potential for patients, physicians and nurses, as well as financial savings for hospitals.
For more, please listen to Garg’s conversation with Susan Morse, executive editor of Healthcare Finance News.
Talking points:
- Technology can help personalize the patient’s journey by anticipating needs.
- AI and machine can process vast amounts of data, including unstructured patient data.
- Unstructured data can pick up on patient preferences.
- AI is able to anticipate bottlenecks that hinder a patient’s care or ability to get home such as MRI’s, prior authorizations or faxed cardiology reports.
- Through AI, clinicians don’t have to spend a vast amount of time on manual reports.
- AI can anticipate the time, equipment and what the patient needs before the day of surgery.
- AI is like having an intern on the team.
- AI learns and can evolve from, “Here’s a problem that happened; here’s a problem that’s going to happen; it was a problem, I fixed it.”
More about this episode:
Q&A: Qventus announces $105M investment during JPM Healthcare Conference
Helping patients get the data they need to direct their own care
HIMSS25: Digital increases patient involvement and self-management
AI is informing care but patient education is needed
Trends 2025: Healthcare leaders are focusing on patient access, AI and Medicare Advantage
AI allows hospital to scale and prioritize patient experience
Email the writer: SMorse@himss.org
