DXCTechTalk

Docs are data driven; we have so many new sources of data now. Tech can help make the right, actionable info available for better decisions

One area we are seeing is the adoption of quantitative clinical quality measures to determine adherence to protocols of care, outcomes, patient perception of value of care delivery. It is now easier to have computable measures, adherence and variances pre-curated into EMRs

@RobertWahMD agreed docs are scientists, the problem becomes one of dimensionality... how can AI help bring a complex system to understanding in the clinical community?

the open source community is very active in the area of CDS Hooks. In essence, its lots easier to have computable clinical research (via AI) turned into computable workflows or pathways in EMRs. We are doing that now.

@femiladega - but how do we even show people that there are more dimensions "available" when certain people percieve low dimension contextual evaluations?

I'm concerned with confirmation bias... which is to say we don't yet understand all the dimensional differences in persona...

not as easy as saying "this shirt looks good on me, would look good on you too"

This is another new source of information and has great potential. There has been a lot of interest in "real world data" to fuel new medication or treatment discovery. This would be in addition (not replacing) controlled studies

I think we are seeing the beginning of the trend that redefines what is health with pervasive use of social media showcasing alternative provider driven outcomes

Redefining "what is health" makes me think of the shift to wellness and that is so important. It's really a cultural shift (at least in the US) as much as an industry shift.

still remember seeing @jhalamka put his #autoid chip in to carry his longitudinal health record... linked data is key

Coolest #healthtech: #AI in radiology... still a long ways to go but the potential is fascinating... https://healthitanal...

if you add analytics to this list; then the ways we can use digital data is very exciting; having the data "speak to us" instead of us "asking the data" has great promise; "hypothesis free" analytics where new patterns emerge that we would never think to ask about.

https://www.technolo...

@RobertWahMD Any examples of a new pattern we wouldn't think to ask about?

@RobertWahMD Are med schools adding #dataanalytics/#datascience to curriculum? Should they?

@LisaAnneBraun Simple example is finding that people with good credit scores are very high in compliance taking their medications; makes sense in retrospect but who would have asked if there was a connection?

really excited to hear @stroker report out on @lefep session on #DigitalHuman https://leadingedgef...

@RobertWahMD Good point. And I guess the corollary is those with low credit scores *might* be less compliant and worth watching...?

@danhushon Med School curriculum is changing; 1 of @amermedicalassn is accelerating change in medical education and has just had several medical schools put new curriculum on technology and digital tools in healthcare

does #Blockchain have a role in holding the "links" between pieces of health data to basically provide the maps/keys to personal context [vs deidentified]?

We are now able to tag data at a field level based on sensitivity and have patient opt-in/opt-out to who can see the data.

even extend with patient consent stored on blockchain

I believe that this.. identified/deidentified "switch" is incredibly important to support the trust [when you need to know it's me] and the broad usage [when it's deidentified but not decontextualized]!

Blockchain is increasingly being adopted now for key domains such as Med Rec and Care planing where distributed patient info can be constrained by BC.

yes absolutely... will be on digital explorer shortly.

@femiladega if you were the #dean.. what pre-requesities would you set for pre-med?

@femiladega what about a chronic disease like diabetes... how can that patient/coordinator relationship change thru social data?