Learn how to analyze health data / Reinvent yourself in the workplace
The best performing businesses know their customers better than do their competitors. This is true in healthcare too. Whether you run a hospital or sell pharmaceutical products, the better you know your customers, the better you can bring value to them (and make money from them to be frank…). The more nuanced your understanding of … Continue reading Customer Segmentation
Analytic pipelines are processes through which raw data are transformed into insights that are then delivered to the end user. The way a project’s pipeline is designed materially affect how much manual intervention is needed, how repeatable and fast the pipeline is and what the end user experience is like. Source Data Ingestion Analytics pipelines … Continue reading Building Scalable Analytics Pipeline
Medical practice managers perform a bewildering array of tasks in medical practices (whether offices or large hospitals), from HR, to office resources, to patient management, to quality improvement, to billing, just to name a few. They are the heroes behind the scenes, ensuring care is provided and received well.From an analytics perspective, these complex tasks … Continue reading Analytics for Medical Practice Managers
Fraud costs the US health system a lot. As do wasteful spending and abuse of health services. In many organizations the process to detecting these are ad hoc, opportunistic, relying on tip offs, hunches and the curiosity and perseverance of investigators. While these are methods can be effective in isolated cases, they are manual, time consuming, … Continue reading Automating Healthcare Fraud Detection
In a previous post, I described how to format typical physician productivity data to enable further analyses, finding useful insight. I dig deeper to find more actionable insights in this post. Refresher: we had office visit data for 3 doctors over 2 month period; we added RVUs to the office visit procedure codes; we added … Continue reading Confessions of health data -2
The Health Analytics Guru 