There are many paths to actively engaging consumers in their health and wellness, and the ONC Patient Matching Final report provided yet another avenue. In my blog I mentioned consumer engagement as a path to better data quality, but the value is really very broad. Therefore, it is important that
Patient matching requires a solution that includes people, process and technology. There is no silver bullet such as a national patient identifier. The ONC Patient Identification and Matching Final Report reflected this long-held belief. Enjoy some highlights from this report below:
Seeing is believing. In this short demonstration, you will see the innovations announced in the prior session in action. You will see integration and governance applied to one of the most popular big data use cases: an extended 360 degree view of the customer.
The era of big data is the era of messy data. This is the big data paradox: larger volumes and variety of new sources are inherently complex, and that complexity can actually lower confidence. Organizations have created an entire role to raise confidence in big data: the chief data officer.
Big data has changed the IT landscape. Integration and governance must evolve and become more agile to handle the challenges of big data. IBM's latest innovations in integration and governance deliver context for big data, provide agile governance with automatic protection of big data and ingest
Successful organizations strike a balance between control and speed, moving quickly to explore and analyze big data, but also applying enough controls to avoid missteps with agile integration and governance. Are you confident in the analytic insights that drive your business?
Are you confident in the analytic insights that drive your business? Do you trust big data? Can you protect it? IBM can help with new innovative information integration and governance (IIG) capabilities to build confidence in big data.
HIMSS14 attendees are in for a treat this year; in addition to the amazing educational sessions and exhibits, visitors will have the opportunity to an exciting story about real-time analytics for research and data quality. Dr Ray Duncan, CTO for Cedars-Sinai Medical Center in Los Angeles, and Dr
Success with big data comes down to confidence. Without confidence in the underlying data, decision makers may not trust and act on analytic insight. Without confidence in your ability to deploy new big data technology and the skills to exploit it, you might defer on big data projects.
Big data means more data – from more sources, in more formats. It also involves data that is created at a more rapid pace. All of those factors make it harder to establish context. Where did this data come from? How much do you trust it? What steps were taken to correct, or massage, the data?
Protecting and security sensitive big data is necessary to ensure data is shared for new forms of analysis. Before the owners of that data will share it (yes, political silos still exist, and yes individuals still feel they own data and can say no to sharing it), they want to ensure it is