An implementation of the HCC Risk Adjustment Algorithm in Python
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Updated
Mar 13, 2020 - SAS
An implementation of the HCC Risk Adjustment Algorithm in Python
asleep: a sleep classifier for wearable sensor data using machine learning
Power Pop Health is a collection of content intended to simplify the process of ingesting and prepping Healthcare Open Data using Azure data tools and Power BI. Moving forward the overarching theme will be data related to Population Health, but other sources pertinent to Healthcare will also be included.
Code and data for CHR&R's annual data release
This site provides information to support data users with developing custom queries in the Multi-State EHR-Based Network for Disease Surveillance (MENDS).
Functions designed to streamline NHS/Healthcare Analyst's workflows
A collection of sample/tutorial codes for Chinese 30-year ambient ozone exposure assessment, exposure-response relationship establishment, and excess mortality estimation.
an R package to quickly pull CHR&R data into R, modeled after tidycensus
This project utilises NHS England's pseudonymised patient-level data and data science capabilities to predict cohorts at elevated risk of future cancer
This analysis leverages publicly available NHANES data from the CDC to investigate insulin resistance and diabetes at the population level to determine whether public health could be improved with a more proactive approach to testing. 💉
Calculating BMI at Age from FHIR Documents Blog Post
Identifies care gaps in population health data and prioritizes high-risk members
Repository for code to prepare the indicators for BSOL ICS Population Health Outcomes Framework
Healthcare operations intelligence case study focused on emergency department optimization, patient flow redesign, and avoidable ED utilization using large-scale encounter, provider, and SDOH analytics.
MS Business Analytics/Data Science Thesis Project in Population Health to Geostatistically Target Asthmatics for Outreach
Vedura is a government-oriented public health awareness and early signal intelligence platform designed to support authorities with population-level insights while providing verified, multilingual health guidance to citizens.
The main R program code for the dissertation "A Study of Some Statistical Issues about the Effects of Ambient Air Pollution on Population Health"
Wilfred Stephen Anfield, MPH, MSW, is a public health strategist, writer, and caregiver powered by joy, based in Washington, D.C. He works on health equity, digital inclusion, accessibility, and the determinants of health. He serves as court-appointed guardian, conservator, and caregiver for his mother.
Open-source FHIR-native digital quality measure engine with AI care-gap closure layer. Codename "Pramana." This shows up in search results.
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