Announcing HCC in Python and Datalog

May 27, 2017 in Technology

The CMS division of HHS produces a freely available algorithm for determining the diagnosis risk of cost for beneficiaries. The problem with this freely available algorithm is that it is written in a technology, SAS , that is not freely usable.1 We at Algorex Health have reimplemented the HCC algorithm in Python with two aims in mind. First, we want to promote truly free algorithms for value-based analytics, contributing to a community ethos of open-source population health libraries.
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Algorex Health Technologies

A blog for technology, policy, and grievances in the Open Health World

Opening the Healthcare Technology Doors

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Algorex Health to support the New England Society for Health Strategy

Jul 7, 2019

The New England Society for Health Strategy (NESHS) has been a great forum for innovation and the development of novel programs to support the engagement, care, and management of patients and health plan members. As such, we are proud and excited to sponsor the organization and be the Sponsor of the Month for July. For more information about NESHS: https://www.neshs.org/

Layering Maps and Data

Mar 3, 2019

Layering Maps and Data At Algorex Health, we make a lot of maps and get a lot of questions about the tools we use to make them. So, I thought I would briefly describe our process and the tools we use. I covered the basics of geographic charting in a past blog post and some of that terminology will be repeated here. We use to two primary data visualization systems at Algorex Health both of which were chosen for their support withthin the Python/Jupyter stack, ease of use, and/or aesthetic flexibility:

Flying to Orlando

Feb 2, 2019

When is Data Big? This week the health world turns to Orlando for the annual conference of the Health Information Management Systems Society annual conference. it is absolutely one of the biggest events in health IT and one of the top 25 trade shows in the entire country. How many people attend HIMSS each year? We could search one of hundreds of press releases about the event from exhibitors. We could even visit the link above from Trade Show news.

A Practo-Theoretical Introduction to Logic Programming

Nov 11, 2018

This post is part of a larger series of posts that examines the use of declarative logic programming in implementing a healthcare-specific risk score called the HCC Risk Score. The scope of this series runs through such topics as healthcare-intensive dissection of SAS code and translation into Python and PyDatalog a generic introduction to Logic Programming with Prolog and SQL (this post) discussions on the role of declarative programming in a technical organization the difference between forward-chaining and backward-chaining as an implementation strategy in logical/declarative technologies the choice of a forward-chaining embedded language called CHR for re-implementing our code from PyDatalog This post has the following characteristics:

Introduction to Series: Declarative Programming in Healthcare

Oct 10, 2018

The following post is an introduction and summary on what will be a series of posts about the use of declarative programming, specifically logical programing, within one of Algorex’s more important libraries – the HCC (hierarchical code categories) risk calculator. It is our hope that this series of posts might be interesting to several classes of reader: The imperative programmer (regardless of field) who has never encountered the term ‘logical programming’ before.

Calculating Growth and Obesity from FHIR Messages

Aug 8, 2018

Calculating Growth and Obesity from FHIR Messages When parents bring their kids to the pediatrician, one of the most important checks is to have the child’s height, weight, and BMI plotted on growth charts to understand their development. The charts, a image of which appears below, are ubiquitous and critical to the tracking the health of kids. Sure enough, many many EHRs automatically show the graph and the patient’s position on the chart right inside the workflow making it easy for physicians and patients to review.

A Listening Tour: Stops for Dr. Gawande

Jul 7, 2018

A Listening Tour There has been much speculation about Amazon & JP Morgan & Berkshire Hathaway healthcare joint venture. Recently, the newly appointed CEO of the effort, Atul Gawande, announced he was embarking on a “listening tour” of the 1.2 million employees who work under that umbrella. We thought we would compile the dream health care itinerary. Each stop, according to publicly available data, shines a light on the tremendous hurdles in the healthcare sector that any policy maker or executive needs tackle.

What Supplements health?

May 5, 2018

What Supplements Health? Buried in a recent CMS announcement was a seemingly small policy change related to helping Medicare members with their social determinants of health. Medicare, the insurance program for the elderly and disabled in the United States, is really two independent programs. In one, the beneficiary medical costs are covered directly by the federal government. This is often referred to as Original Medicare or Medicare Fee-For-Service. The second option is for individuals to obtain Medicare insurance through private insurance companies.

Everything You Never Wanted to Know about Geographic Charting

Apr 4, 2018

Everything You Never Wanted to Know about Geographic Charting Before the start of seventh grade, my family moved, and I started a new school that had as required module, cartography. Over a few weeks, we painstakingly drew maps of states, continents and eventually the entire world. My backpack became filled with various stencils, a compass, colored pencils, pens of multiple weights, and even tracing paper. It was one of the more frustrating parts of my schooling and I remember thinking “Why would I ever need this?

Almost 10 Pie Charts in 10 Python Libraries

Mar 3, 2018

Almost 10 PieCharts 10 Python Libraries Here is a follow-up to our “10 Heatmaps 10 Libraries” post. For those of you who don’t remember, the goal is to create the same chart in 10 different python visualization libraries and compare the effort involved. All of the Jupyter notebooks to create these charts are stored in a public github repo Python-Viz-Compared. Each Jupyter notebook will contain one chart (bar, scatter etc) and then up to 10 different ways of implementing them.