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There has always been personalization for each patient, said Mudit Garg, CEO and co -founder of Qvetus. But large -scale personalization requires technology.
Over the past 10 to 20 years, many technical systems have been built that allow mass personalization. For example, each customer has a personalized experience with Amazon.
“I think that this same approach can be applied to learning on the needs of each patient and their career and their planned path, but on the scale of operational parts in a way that it does not require manually each Step, “said Garg.
This unlocks the opportunity and the potential for patients, doctors and nurses, as well as financial savings for hospitals.
To find out more, listen to Garg’s conversation with Susan Morse, editor -in -chief of Newcare Finance News.
Discussion points:
- Technology can help personalize the patient’s route by anticipating needs.
- AI and the machine can process large amounts of data, including unstructured patient data.
- Unstructured data can resume patient preferences.
- The AI is able to anticipate the bottlenecks that hinder the care or the ability of a patient to return home, such as MRI, previous authorizations or faxed cardiology reports.
- Thanks to AI, clinicians do not have to spend a lot of time to manual relationships.
- The AI can anticipate the time, equipment and what the patient needs before the day of surgery.
- AI is like having a trainee in the team.
- AI learns and can evolve from: “Here is a problem that has happened; here is a problem that will happen; it was a problem, I solved it.”
Learn more about this episode:
Q&R: Qventis announces an investment of $ 105 million at the JPM Healthcare conference
Help patients get the data they need to direct their own care
HIMSS25: digital increases patients involvement and self -management
AI informs care, but patient education is necessary
AI allows the hospital to scale up and prioritize the patient’s experience
Send an email to the writer: Smorse@himss.org