Freelancer profile translated to English.

Description

Public Health Doctor and Medical Data Expert, I support healthcare facilities, manufacturers, and institutions in their Data projects.

The success of a health data project relies on the ability to make different worlds with their own languages and constraints communicate. My hybrid profile (Medical, Scientific, and Technical Expertise) allows me to be the trusted interface between your medical, scientific, regulatory, and IT teams (Dev., Data Scientists).

My role:

Translate your medical, strategic, and regulatory challenges into clear technical specifications for development teams.
Secure the structuring of your data (PMSI, EDS, RWE) while respecting French and international medico-economic classifications (ICD10, CCAM, SNOMED-CT, interoperability) for long-term use.
Manage technical deployment and end-to-end analysis, integrating best practices (DataOps, CI/CD, GDPR).
In short: leverage the information and data collected in a care context in the short, medium, and long term by acting on the entire processing chain.

Preferred areas of intervention:

Design and structuring of Health Data Warehouses (EDS) or health databases for research or management purposes (registries).
Management of real-world evidence (RWE / RWD) studies and analysis of hospital or private practice activity.
Valorization of Medical Information (PMSI) and processing of unstructured data (NLP/NLU on medical reports).

Some deliverables:

Project scoping and writing of scientific/technical protocols.
Audit and consulting in structuring EDS and data pipelines.
Medico-economic analysis reports
Co-writing of scientific articles and technical documentation.
Medical popularization for Tech profiles/IT popularization for medical profiles.
Data & Tech Supervision
Design of management tools and dataviz for strategy.

Industry field of expertise

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Remote only

Primarily works remotely

Augure Data
Founder
CONSULTING AND AUDITS
June 2023 - Today (3 years and 2 months)
Paris, France
Consulting firm specializing in medico-economic management and health data analysis (PMSI, EHR/EHR, SNDS), offering services equivalent to a Chief Medical Officer (CMO) or DIM Physician

PMSI (French National Hospital Information System)
Data analysis, activity reports, dashboards, management of facility data (PMSI and EHR) as well as national databases (ATIH)
Training for TIM/DIM/Healthcare Professionals/Management

Health Data
Real-world evidence studies: scientific advice, protocol writing (based on SNDS and cohorts)
Health Data Warehouses: assistance with data model design, functional audits of processing pipelines, and economic modeling
Medical Management PMSI Medical Information Consulting
Clinityx
Medical Strategy Director
MEDICAL
August 2022 - May 2023 (8 months)
Boulogne-Billancourt, France
Missions:
- development of health data warehouses and participation in cross-functional scientific committees
- medical referent and scientific valorization of the company
- internal methodological support for RWD/RWE
- member of the management committee
- writing of CESREES protocol submissions (secondary use and matching of SNDS data with cohorts/registries)
Medical Writing Epidemiology Data Science Project Management Business Strategy
ELSAN SAS
DIM Physician
HEALTH AND WELLNESS
November 2020 - July 2022 (1 year and 7 months)
Angoulême, France
Quality control of data from the patient's electronic health record and terminological alignments (medical classifications)
Medico-economic analyses of healthcare facility activity.
CI/CD for analysis projects and PMSI optimization.
NLU: detection of medical concepts in the EHR.
R Git Docker Microsoft Power BI Linux

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Doctorate in Medicine
University of Bordeaux
2020
Spécialité Santé Publique. Épidémiologie, biostatistiques.
Master 2 Information Systems and Health IT
University of Bordeaux
2019
Stage de 6 mois dans l'unité IAM (Informatique & Archivistique Médicale) : détection des syndromes d'alcoolisation foetales à partir des données de l'entrepôt de données de santé. Formation théorique : Ontologies et classifications médicales Utilisation secondaires des données de santé Machine-learning (NLP)