With the proliferation of Electronic medical history (EMR) and Enterprise Resource arising with (ERP) systems across the healthcare industry over the last decade, healthcare institutions currently have additional knowledge (and processing tools) at their fingertips than at any time in history.
On the surface, a highly distributed, self-service data access model seems to be the simplest goal of an EMR or ERP as a result of it can eliminate bottlenecks associated with a standard report writing group handling the requests of an entire organization. Instead, this model will promote efficiency and extra timely decision-making and management as a result of it permits users to access data at their convenience at any time.
Children’s Health in Dallas recently embarked on an Analytics method Discovery to validate our self-service model, breaking down the project down into 2 phases: Discovery and method Improvement Recommendations. This development seemed to be partly related to employee turnover, which resulted during a general lack of knowledge of the report’s background and intent.
The Analytics Discovery method
Children’s Health permits users to access info directly from data in our EMR and ERP systems, that are in situ for about ten years (with over twelve,000 reports being generated throughout this time). So as to support advanced information reporting needs (or to help teams whose workers square measure unable to use the reportage tools), we maintain a centralized knowledge intelligence group, which receives approximately 2 hundred requests a month.
To validate the tactic, we interviewed user teams across the organizations that were accessing information during a trial to know what reports they were running, what tools they were using, which we inventoried the reports and tools that teams were using to access knowledge.
We swiftly found a general lack of organization and standardization of reporting. Multiple teams were making constant data, but not always, within the same manner, resulting in conflicting numbers.