Clinical Code Usage Counts in England

Im Datensatz "ARE-Konsultationsinzidenz" des Robert Koch-Instituts werden wöchentliche Inzidenzen von ambulanten Konsultationen mit akuter respiratorischer Erkrankung (ARE) in Deutschland bereitgestellt. Die Daten stammen vom ARE-Praxis-Sentinel des RKI. Hier werden aus Sentinelpraxen Daten von gesetzlich versicherten Patientinnen und Patienten ...

An interactive Streamlit app designed to analyze and interpret Friends and Family Test (FFT) feedback, aimed at enhancing the responsiveness of Primary Care Services.

Validating which clinical visits can be virtual.

Wrapper for the CVD Prevent API

Im Datensatz "COVID-ARE-Konsultationsinzidenz" des Robert Koch-Instituts werden wöchentliche Inzidenzen von ambulanten Konsultationen mit akuter respiratorischer Erkrankung (ARE) und zusätzlicher COVID-19-Diagnose in Deutschland bereitgestellt. Über das syndromische Surveillance-Modul SEED-ARE werden aus Sentinelpraxen Daten von gesetzlich versi...

Predictive Solutions for Primary Care Attendance

An analysis of General Practice Patient Survey data using supervised learning.

Primary care SNOMED code release creation and production of publication materials

Diabetes recall system implemented with a Steamlit app

OpenSafely - exploratory piece on online consultation systems and written consultation activity and its coding in EHR systems.

This repo is to create interactive dental maps using RStudio

Predicting Hba1c in Primary Care

Data-driven intervention to reduce avoidable emergency department visits in a Medicare Advantage population using NYU-EDA and operational workflows at Mendez Medical Center.

Data and code supporting research project into potential primary care shortages as a result of the COVID-19 pandemic.

R code used to carry out monthly savings calculations and create reporting dashboards for the PCE program in BSO/SPPG (NI only).

Find Federally Qualified Health Centers (FQHCs) across the United States

AI-powered clinical decision support system designed for primary care physicians to manage CKD patients. It combines real-time patient monitoring, evidence-based risk assessment, and AI-driven treatment recommendations to help doctors identify kidney disease early, track progression accurately, and optimize treatment strategies.