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The quality of clinical data isn’t where it should be, due to inconsistencies in data capture and a lack of standardization, said our panelists. During a recent webinar, they discussed the key factors in determining data quality, and shared strategies for ensuring data are more consistent and accurate.
Between the “primitive design” plaguing many EHRs and the high potential for error with patient-entered data, ensuring data quality has become a mountain for healthcare leaders. But with the right approach, there are ways to improve it, according to our speakers.
Data breaches. Mergers and acquisitions. Meaningful Use. HIPAA audits. Budget cuts. In the healthcare IT industry, it’s pretty easy to get caught up in all the negativity, particular for the leaders who are being asked to do more and more with fewer resources. But as someone who has had a front row seat in watching […]
First things, first, I want to acknowledge fellow-Coloradoan Chuck Blakeman for inspiring me to write this blog. His philosophies about business leadership resonate with me, and much of the content below is a direct reflection of his insights. For years, I’ve thought that my philosophies about corporate culture and beliefs were too unusual to practice openly, but […]
When I started teaching at Northwestern in 2005, it had been a quite a few years since I’d been in an academic setting for anything other than guest lectures. In the time that had expired towards 2005, the students all had laptops and the classrooms had WiFi. I thought the student were taking notes and […]
