Guest post by Ellen Derrico, director of global market development, life sciences and healthcare at QlikTech.
Electronic health records (EHRs) are getting a lot of attention these days, but amid the hype there are skeptics out there arguing that the EHR is old news. However, I’d like to argue that the EHR is not dead; in fact, it’s growing up.
Today’s EHRs are so much more than a digital version of a paper chart. They are evolving and getting more sophisticated. One of the most promising and exciting developments of this is the integration of data discovery and analytics to analyze and compare EHR data. Where business intelligence (BI) was once used primarily to analyze data from a business perspective – revenue cycle management, finance, supply chain management – it’s increasingly being used to analyze patient data, physician performance, facility and utilization – all to improve clinical outcomes.
In healthcare, data discovery and analytics offer the possibility of improving patient care by synchronizing the resource planning with patient logistics and allowing physicians and nurses to focus on improving performance. With BI technology medical practitioners can look across data from different people and locations to support decision making not only for their individual patients, but also for larger patient populations. As a result, practitioners can improve patient outcomes and population health.