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There has always been personalized for every patient, said Mudit Garg, CEO and co -founder Qvenus. But huge -scale personalization requires technology.
Over the past 10 to 20 years, many technical systems have been built that allow mass personalization. For example, every customer has a personalized experience with Amazon.
“I think that the same approach can be used to learn the needs of every patient and his travel and expected path, but scaling operational elements in a way that does not require manual taking every step,” said Garg.
This unlocks the possibilities and potential of patients, doctors and nurses, as well as financial savings for hospitals.
For more information, listen to Garga’s conversation with Susan Morse, editor -in -chief.
Talking points:
- Technology can lend a hand personalize the patient’s journey, anticipating needs.
- AI and the machine can process huge amounts of data, including unstructured patient data.
- Undrustored data can choose patient preferences.
- AI is able to predict the bottlenecks that make it complex to care for the patient or the ability to return home, such as MRI, previous permits or fax cardiology reports.
- Through AI, clinicians do not have to spend a huge amount of time for manual reports.
- AI can predict time, equipment and what the patient needs before the day of surgery.
- Ai is like having an intern in a team.
- Ai learns and can evolve: “Here is a problem that happened; Here is a problem that will happen; It was a problem, I fixed it. “
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