Chris Preimesberger5
Q3: Where do you see the most progress in overall development of health care software and services?
Sanjeev Agrawal
A3: Grading healthcare on a curve, we’ve made relatively great technology leaps in the last decade with EMR adoption. Thankfully we don’t use faxes any more (or less anyways) but we are still 30 years behind where airlines, transportation, package delivery, retail ar
Sanjeev Agrawal
A3: EMRs are very good databases for collecting health data, but not great for understanding data / developing cures or optimizing throughput
Aditya Bansod
A3: few key areas here:
1. Physician Burn Out -- health IT caused caused it and now we have to fix it. We've made great strides in terms of data capture but for the benefit of whom?
1. Physician Burn Out -- health IT caused caused it and now we have to fix it. We've made great strides in terms of data capture but for the benefit of whom?
Sanjeev Agrawal
What's exciting is the equivalent of what SalesForce or Workday have done on top of SAP or Oracle and that's starting to happen - diagnostic imaging, revenue cycle, asset optimization, clinical workflow optimization
Chris Preimesberger
It's amazing faxes are still being used every day somewhere in business. Yes, they have their physical form value, but still ... ;-)
Aditya Bansod
A3:
2. Patients As Their Own Champions -- new regulatory frameworks and consumer apps (e.g. Apple Health / etc) are putting patients in to the drivers seat of their own HC and the overall HC software stack is struggling to keep up as patients demand more access.
2. Patients As Their Own Champions -- new regulatory frameworks and consumer apps (e.g. Apple Health / etc) are putting patients in to the drivers seat of their own HC and the overall HC software stack is struggling to keep up as patients demand more access.
Sanjeev Agrawal
A3: The biggest roadblocks are still the "sacred cows" in adopting software based tools
Mike Seegel
@adityabansod A3: I agree Aditya. I find that my clients are able to generate massive amounts of very good data; but most just accumulate it and do nothing with it. It's those that develop actionable metrics around the data that find success.
Aditya Bansod
A3:
3. The Whole Patient Journey -- having the 360 degree view of what's happening for a patient can help better clinical decision making and help the patient be their own champion. There's a lot to unpack here we have a lot of interop-related questions yet to solve
3. The Whole Patient Journey -- having the 360 degree view of what's happening for a patient can help better clinical decision making and help the patient be their own champion. There's a lot to unpack here we have a lot of interop-related questions yet to solve
Mike Seegel
@MikeSeegel When doing HITRUST assessments, HITRUST forces my clients to perform actions on the data they get, such as reviewing unauthorized record view activity, or attempted brute force attacks. They have to do something with the data they get.
Sanjeev Agrawal
A3: Agree @adityabansod - parsing through the data is the hardest part.. it's 80% of all data science
Aditya Bansod
@saagrawa @mikeseegel signal to noise ratio is healthcare is just insane -- it's sorta back to to @saagrawa list from Q1 of how sift/sort thru it all where there are distinct audiences (both clinical facing and patient facing -- but also financial facing)
Sanjeev Agrawal
A3: Yep - starting with narrow "business problems" and going deep in areas with value is the only way we have found. Else you end up trying to create magic potion like IBM Watson and Haven and it doesn't quite work.
Kenya Smith
A3. EMR adoption and interoperability. Allowing patients to access and share their health records across providers.
Chris Preimesberger
Thank you, Kenya, for joining us!