#Health data generator professional
As with a professional athlete, the ability to change directions on a dime when the environment around you is in constant flux is a valuable attribute to have. Healthcare faces unique challenges and with that comes unique data challenges.īecause healthcare data is so uniquely complex, it’s clear that traditional approaches to managing data will not work in healthcare. A different approach is needed that can handle the multiple sources, the structured and unstructured data, the inconsistency, the variability, and the complexity within an ever-changing regulatory environment. The solution for this unpredictable change and complexity is an agile approach, tuned for healthcare. Healthcare data will not get simpler in the future. Healthcare Data Will Only Get More Complex Inconsistent/variable definitions Evidence-based practice and new research is coming out every day. After making this slight modification to the data capture process, the team gained tremendous insight, and identified opportunities to standardize care delivery and reduce unnecessary C-sections. So, the team worked with an analyst to modify the list of available options in the EMR so that more detail could be added. Well, this was not conducive to understanding the root cause of unnecessary C-sections.
#Health data generator free
Because these were the only two options, delivering clinicians would often choose to document the true indication for C-section in a free text form, while others did not document it at all. It turned out that there were only two options to choose from: 1) fetal indication and 2) maternal indication.
The first task for the team was to understand how the indications for C-section were documented in the EMR.
As EMR products improve, as users become trained to standard workflows, and as care providers become more accustomed to entering data in structured fields as designed, we will have more and better data for analytics.Īn example of the above phenomenon is found in a recent initiative to reduce unnecessary C-sections at a large health system in the Northwest. As a result, much of the data captured in this manner is difficult to aggregate and analyze in any consistent manner. Thus, unstructured data capture is often allowed to appease the frustrated EMR users and avoid hindering the care delivery process. EMRs attempt to standardize the data capture process, but care providers are reluctant to adopt a one-size-fits-all approach to documentation.