The biggest EHR overhead for Healthcare providers is cognitive. It comes from a presentation layer that does not mesh well with our thirst for synthesis or how all the myriad of concepts fit together. They also do a terrible job at scaling our cognition from higher level concepts to lower level concepts. This is the essence of modeling. Let's start a movement towards modeling/design tools in healthcare.
Have electronic health records been good for healthcare? It depends on the stakeholder. This article includes the take from various CIOs and CMIOs. Not surprisingly, many have positive opinions, while others highlight the challenges. For physicians, I believe it’s a mixed bag – but more good than bad. More accessible information empowers and overwhelms us. Notes are legible and easy to retrieve but bloated and often hard to decipher. Results flow instantly to our inboxes, but so do various pointless notifications. EHRs bring us closer together and push us further apart. We easily message our colleagues and patients easily message us. But we spend far more time staring at screens than making eye contact or sitting next to each other. Digital tools make us both more and less productive. We quickly send prescriptions and easily notify patients about test results, but we struggle to manage countless inbox messages and must enter orders staff previously placed for us. The balance sheet is different for other stakeholders. EHRs are generally a greater net positive for patients (who can more easily contact their clinical teams and review their own information) and health systems (which rely on EHRs to administer most clinical and administrative functions). Nurses seem to have the most negative experience. In my experience, nurses are forced to click and type way too much. While EHRs are far from perfect and should certainly improve, they’ve become an easy scapegoat for too many of healthcare's problems. In part, our expectations were way too high [e.g., doi:10.1377/hlthaff.24.5.112]. In part, we underestimated how hard it would be to update our operating models for a digital world. In part, we fail to appreciate that digital overload is a modern-day challenge that extends far beyond healthcare and that digitization is a necessary step for long-term digital transformation. We must avoid polarized views and embrace nuance. We must also apply what we’ve learned from our EHR experience as we attempt to layer on AI. #digitzation #electronichealthrecords #healthcareonlinkedin https://lnkd.in/gVNMFqig.
Technical Advisor in Cloud Based Computing, Data Transformation & Storage
5moPerhaps the conversation should be on universal standards to allow systems to start to communicate at the regional, national and international level and allow people to control their own access via encryption keys that they can assign to caregivers and healthcare professionals when they need it.