eweekchat

.@editingwhiz A1: I'm mostly excited for ML to really help us understand patient's intent in healthcare -- what do they want to achieve out of their HC experience. I think one of the powers of ML is to understand what a patient means not just says to provide equitable care

A1: There are several areas where AI could fits into next-gen healthcare, specifically 5 areas

1. Increasing Access: Providing greater access to high quality care to more patients through resource optimization (similar to load factors in airlines). Simultaneously deliver high utilization of assets, low wait times for patients, and a large number of available slots for pati

2. Lowering costs e.g. claims adjudication, staffing, other back office functions. AI can minimize time spent on routine, administrative tasks, which can take up to 70 percent of a healthcare practitioner’s time.

3. Clinical applications of AI : Diagnostic applications, such as reading imaging scans or pathology reports, are probably one of the most intuitively obvious places where we would expect to see AI getting deployed at scale in the near to medium term.

4. Targeted Precision medicine: for higher efficacy drugs that act on my specific symptoms. There is so much patient specific data that can be used to identify “who am I like” from the thousands who may resemble me

5. New drug regimens

hi folks -- looking forward to the discussion today; my name is Aditya and I'm on of the founders and CTO at Luma Health -- we provide patient engagement solutions in healthcare.

I am Sanjeev Agrawal, President of LeanTaaS, good to be here

Hi Aditya! Glad you could join us today after we got to meet on eSPEAKS recently!

@saagrawa Sanjeeve, great to see you here for the second year on this topic!

Thanks Chris!