Data Is Difficult to Measure Part IVby admin on 01/10/2016 11:46 AM
Vice President of Client and Technical Operations
Claims data has been around for years and thus it has been standardized and scrubbed. But this type of data is incomplete. Clinical data from sources like EMRs give a more complete picture of the patient’s story.
While developing standard processes that improve quality is one of the goals in healthcare, the number of data variables involved makes it far more challenging. You’re not working with a finite number of identical parts to create identical outcomes. Instead, you’re looking at an amalgam of individual systems that are so complex we don’t even begin to profess we understand how they work together (that is to say, the human body). Managing the data related to each of those systems (which is often being captured in disparate applications), and turning it into something usable across a population, requires a far more sophisticated set of tools than is needed for other industries like manufacturing.
Government medicine does not give timely access to healthcare, it only gives access to a hazardous waiting list.
In America, everyone has access to HealthCare at all times. No one can be refused by any hospital.