According to the AHRQ Conference on Health Care Data Collection and Reporting there are six challenges of today’s performance measurement data collection and reporting environment.
The U.S. Department of Health and Human Services defines Quality Improvement (QI) as systematic and continuous actions that lead to measurable improvement in health care services and the health status of targeted patient groups.
While procedures and systems are necessary to ensure continuity, equally important is the measurement of actions and patient health status, which require data not only to establish a baseline but also to continuously track, monitor and measure progress toward QI goals.
They are systematically gathering data about all of us. No bit of data is too small because it could be a critical piece of the puzzle that connects all of the seemingly unimportant information they’ve already collected on you. Imagine creating a digital picture of you, one pixel at a time. Get it? No wait, they’ve got it.
Despite massive adoption of electronic medical records over the past several years, the promise of easy and nearly effortless chart abstraction from electronic medical records enabled by an interconnected web of interoperable EMRs sharing standardized data has yet to be fully realized. You need to look no further than the media tab to see the evidence that we have yet to arrive at this Utopian future.