I was given the unique opportunity to brief participants in CareCore National’s user conference late last month. With a panel discussion led by CCN’s CTO Bill Moore (@BowTie) around technology trends effecting the delivery of quality care through consistent data driven outcome evaluation. Presenting with Cisco and AT&T, I had the opportunity to talk about Internet Scale Data analytics, and the emergence of federated exchanges. These federated exchanges, providing the opportunity to combine information out of multiple sources, supporting the delivery of DSS enhanced information pipelines, we have the unique opportunity to look at an information driven event model, and derive from this aggregated information base the optimal processing of this event.
Enabled by virtualization – for operational efficiency, and standards – for vocabulary normalization, and with a bit of magic, each participant can leverage his or her own data, along with that from other participants to make better decisions, and through the improvements of path planning and process optimization, the reduction in the cost of care while optimizing positive outcomes.
During this session, I reviewed what is becoming an increasingly common topic… what assumptions are typically incorrect, and how do we begin to leverage these anti-patterns to help us accelerate their right solutions:
Enterprise Information Fallacies (part 3)
- The information that you need is information that you own completely
- There is known and high quality in information
- You have sufficient volume of information for low standard deviation
- Foreign dictionaries/schemas are easily mapped across domains
- Your ETL and OLTP, structured and unstructured infrastructures coherent and consistent
- ERWIN model(s) is/are sufficient to govern complex information
- Controls are always correctly enforced by the business application
- Information is static and non-perishable
- Information contributors have similar contexts
Federating Information Exchanges serve to lower the friction on the sharing of information, while enabling increased controls. The biggest problems still are the non-functional aspects of the exchange… scalability, availability, reliability (non-repudiable), security… without these properties it becomes nearly impossible to use any derived information. Thus my key focus.