Skip to content

The Health Analytics Guru

Learn how to analyze health data / Reinvent yourself in the workplace

  • About Me
  • Health Data
  • Pharma
  • Analytic Methods
  • Case studies
  • Courses
  • Subscribe

Category: MS Exce tips

Customer Segmentation

2022-05-222022-05-22 ~ Ed ~ Leave a comment

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

Building Scalable Analytics Pipeline

2022-05-04 ~ Ed ~ Leave a comment

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

Analytics for Medical Practice Managers

2020-05-30 ~ Ed ~ 2 Comments

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

Automating Healthcare Fraud Detection

2020-02-062020-02-06 ~ Ed ~ Leave a comment

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

Confessions of health data -2

2018-03-302018-03-29 ~ Ed ~ Leave a comment

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

Posts navigation

Older posts

Courses

Machine learning in healthcare build a predictive model to tackle opioid abuse.

Health Data 101 an intro into sources, types, features and issues of health data

Analytic Habits 30% off with link

  • LinkedIn
  • YouTube
  • Facebook
  • Instagram
  • Twitter

so you don't miss my next post or video upload

Processing…
Success! You're on the list.
Whoops! There was an error and we couldn't process your subscription. Please reload the page and try again.

Archives

  • May 2022
  • May 2020
  • February 2020
  • July 2019
  • April 2019
  • March 2019
  • January 2019
  • December 2018
  • October 2018
  • August 2018
  • July 2018
  • June 2018
  • May 2018
  • April 2018
  • March 2018
  • February 2018

Tags

analytic methods career advice CPT data health analytics career healthdata101 ICD9 ICD10 predictive modeling sources of data statistics

Recent Posts

  • Customer Segmentation
  • Building Scalable Analytics Pipeline
  • Analytics for Medical Practice Managers
  • Automating Healthcare Fraud Detection
Create a website or blog at WordPress.com
  • Follow Following
    • The Health Analytics Guru
    • Already have a WordPress.com account? Log in now.
    • The Health Analytics Guru
    • Customize
    • Follow Following
    • Sign up
    • Log in
    • Report this content
    • View site in Reader
    • Manage subscriptions
    • Collapse this bar
 

Loading Comments...