electronic-health-record

Fasten is an open-source, self-hosted, personal/family electronic medical record aggregator, designed to integrate with 100,000's of insurances/hospitals/clinics

Medplum is a healthcare platform that helps you quickly develop high-quality compliant applications.

A Deep Learning Python Toolkit for Healthcare Applications.

Electronic Health Record Analysis with Python.

Modular, Production-Ready, Open-Source EHR

The code repository for the prototypes included in the eBook "Inspired EHRs - Designing for Clinicians" (inspiredEHRs.gov). The code of the prototypes is made available under the Apache 2.0 open source license. This license agreement allows anyone to freely use the code and ideas presented in this book, subject to the conditions listed at http://opensource.org/licenses/Apache-2.0.

Surfacing Semantic Data from Clinical Notes in Electronic Health Records for Tailored Care, Trial Recruitment and Clinical Research

A toolkit for evaluating and monitoring AI models in clinical settings

The word2vec-BiLSTM-CRF model for CCKS2019 Chinese clinical named entity recognition.

⚠ ARCHIVED ⚠ Essential tools and utility functions to facilitate the data processing pipeline, data cleaning and data analysing of clinical data from CC-HIC

Machine-readable version of electronic health record phenotypes for Kuan V. and Denaxas S. et al.

The project uses blockchain and smart contracts to let individuals manage and secure their health data. Its goal is to empower people to control their health information, communicate better with healthcare providers, and drive innovation in healthcare.

Code for the old version of BioMedICUS, for the new version see the biomedicus3 repository.

Research Data Management Platform (RDMP) is an open source application for the loading,linking,anonymisation and extraction of datasets stored in relational databases.

[ACL 2024] This is the code for our paper ”RAM-EHR: Retrieval Augmentation Meets Clinical Predictions on Electronic Health Records“.

A toolkit for developing foundation models using Electronic Health Record (EHR) data.

A high-performance database and Python reader interface for MEDS datasets

Code and Datasets for the paper "Combining structured and unstructured data for predictive models: a deep learning approach", published on BMC Medical Informatics and Decision Making in 2020.

Fall Detection in EHR using Word Embeddings and Deep Learning

💗 npm package for accessing UMLS REST APIs (unofficial)