Stuart Weinberg, Craig Newman, Kevin Snow, Noam Artz, Nathan Bunker, Mike BerryCiarra Nelson, Chrissy Miner, Eric Larson, Alex Woodward, Francois KAAG, Grey FaulkenberryKevin Snow, John Stamm, MIke Berry
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FHIR is going through text and there are small grammar corrections. Good to go for R5.
Presentation from Francois
|Converting ImmunizationRecommendation to ImmunizationRequest|
Nathan will create a couple of derivations of this and share in two weeks.
|DS for Immunizations|
Do we have a priority for this?
Do we have a market feel what percentage of solutions are being used? What about school rules? Not really decision support, but more logic that comes after CDS. There is a need for robust clinical decision support for special conditions, as an API.
What about queries back from DS to the clinical application to get ancillary information.
Feels like two distinctly different responsibilities. Service that can take all things, truly could make a decision. The other how do you actually get all that information?
Ideal would be to have a CDS for immunizations service for the US like Smarty. First we have to create the standard, that is consistent with that ideal. High risk conditions needs to be solved. The concern is missing information.
The possibility of using the flags, either send the medications/details or just flags. Need to be able to identify who gave the information. From CDS engine would rather have the decision coming inbound rather than make that decision. The clinician who gets the result back they have to think why does the CDS engine think the patient is immunocompromised? Ideally we have a line drawn between immunization and other clinical decision. The burden for the definition of degree of immunocompromised rests with the providers. Used to give flu shots for "high risk" patients, but each article on these had different definitions. Can't even compare research results because you are talking about different populations.
On the immunization side we are rules based. Don't see AI coming into this space.
American Academy of Pediatrics efforts to improve computability and remove ambiguity from policy statements and recommendations:
Questionnaire pushes the complexity out towards the clinician and clinician systems.