OCHIN Shows That Messy Data Should Not Hold Back Health Care

The health care industry loves to complain about patient data. It’s full of errors, which can be equally the fault of patients or staff. And hanging over the whole system is lack of interoperability, which hampers research. Well, it’s not as if the rest of the universe is a pristine source of well-formed statistics. Every field has to deal with messy data. And somehow retailers, financial managers, and even political campaign staff manage to extract useful information from the data soup. This doesn’t mean that predictions are infallible–after all, when I check a news site about the Mideast conflicts, why does the publisher think I’m interested in celebs from ten years ago whose bodies look awful now? But there is still no doubt that messy data can transform industry. I’m all for standards and for more reliable means of collecting and vetting patient data. But for the foreseeable future, health care institutions are going to have to deal with suboptimal data. And OCHIN is one of the companies that shows how it can be done. I recently had a chance to talk and see a demo of OCHIN’s analytical tool, Acuere, with CEO Abby Sears and the Vice President of Data Services and Integration, Clayton Gillett. Their basic offering is a no-nonsense interface that lets clinicians and administrator do predictions and hot-spotting. Acuere is part of a trend in health care analytics that goes beyond clinical decision support and marshalls large amounts o...
Source: EMR and HIPAA - Category: Information Technology Authors: Tags: Clinical Decision Support Healthcare Analytics Population Health Management Abby Sears Big Data Clayton Gillett OCHIN Patient Identification Patient Matching Source Type: blogs