EHR Data Analysis: Uncover The Bigger Picture

Full view of ice burg tip above water and what looms underneath the water.
Tip of the iceburg with full view of what looms below the surface
Iceberg – What Looms Below the Surface

Healthcare leadership is challenged daily to make informed decisions, cutting off wasted resources while ensuring safety and satisfaction in the Patient Journey.  One way this is periodically re-evaluated is through EHR Data Analysis: pulling data and looking at patterns and areas for improvement.  It uncovers the bigger picture in a large ocean of data enabling healthcare leadership to hone processes but we should expect more than just the ability to run queries and get a basic visualization from data.  A Streamed Data Analytics platform takes this to the next level.


Intelligent software is revolutionizing lean process improvement, getting actionable insights into our hands faster than ever before and on a continual bases. The goal is to support a growing need to expand the capacity for the human brain, break down variables and uncover hidden trends in data down to the hour of the day. Results and recommendations for change are now backed by Data Science employing Artificial Intelligence, Machine Learning and predictive analytics and are not from long process trial and error. Have you ever wished you could connect your data to the minds of mathematicians?  By doing so, you can learn, for example:

Who is coming into my Emergency Department?

When are they coming?

Will I have what they need?

What will I do if I don’t have what they need?

When the above questions are answered, you clear the way for happier healthcare professionals, more satisfied patients and optimal care. Streamed data analytics software like Bernoulli Optimizer exists and gives powerful insights into the health of your hospital through granular EHR data analysis in a faster and more cost effective way. You could, for example, process 6 months or 6 years of data, with insightful analytic reports and corrective recommendations in a matter of weeks rather than months or greater. Target specific goals or pain points like, “what is the best time to start/end a shift?”, “What is the average Length Of Stay for ESI3 patients?” or allow the engine to identify and refine optimization opportunities from your data by your of the day, week, month, year.

Heat-map From Data Analysis
Heat-map showing median LOS for ESI3.

Sound vague? That’s because the capabilities for types of data that can be crunched are endless. Provider functionality, staff/patient ratios, patient flow, number of beds, ESI variability, multi. department process, etc.  This data can be gathered and processed now, however, until recently, it took months to retrieve because collection and the process to make sense of it was manual.  Optimization engines powered by AI, Machine Learning, and predictive analytics automate production of data analysis to produce useful, analytic reports.  It turns data into actionable insights faster.

Heathcare leaders discussing data insights
Hospital Leaders Discussing Data Insights

Pair the data with leadership teams, internal lean teams or a contracted lean consulting firm to get the answers you need right now along with best practice recommendations for how to use it.  Forgo the lengthy trials to “see” if a change works and use a what-if simulator to put the change into action.  Modeling and simulation will show you where the ripple starts and stops and enable continuous optimization within your ED and connecting departments.