Greetings from Ireland, Melanie. I am a former NHS Forensics/Community RN Mental health. I was was introduced to OHDSI undergoing a course providing by University of Colorado on Clinical Data Modelling. Look forward to reading your questions. I’m not technically fluent. That said, I am enjoying exploring the gap between clinical judgement and AI infrastructure, particularly interested in understanding from the clinician’s side how terminology and data quality decisions eventually shape what an AI system actually sees. At present, in many commercial architectures, I don’t see that needs assessment, risk assessment, or flow data being addressed.
Hello everyone, I am Thani. My work focuses on healthcare data quality, analytics, clinical data, Care management, Provider management, healthcare metadata, data governance, data architect, explainable AI and trustworthy healthcare data. I am particularly interested in OMOP, data quality assessment, research and reproducible healthcare analytics. I am joining OHDSI to learn from the community and contribute where my experience in healthcare data quality frameworks and public healthcare datasets may be useful. I look forward to collaborating with the community.
Will you be attending the OHDSI Global Symposium in October? I will be presenting our research on the semantic loss occurring between clinical interface terminologies (CIT) and SNOMED, the standard used by the OHDSI community for condition representation. While clinicians use CIT to record conditions, researchers and AI models use SNOMED. Because there are multiple pathways from CIT to SNOMED, the data seen by users of OMOP and other models can vary significantly. I think you will find this work in alignment with your interests.
Hi Melanie,
I’ll concentrate on smaller chapters and symposiums in Europe first. I look forward to reading your research on the semantic loss between CIT and SNOMED. I’d be curious if that loss is more pronounce in some domains than others.
My name is Arthur Jochems, and I am an AI Architect and Founder of Modus Data GmbH, based near Basel, Switzerland. I hold a PhD in scientific data modeling and specialize in building scalable data pipelines, multimodal machine learning architectures, and production-grade AI platforms for enterprise and healthcare environments.
Over recent years, my work in the biopharmaceutical and clinical research sectors has focused heavily on real-world data (RWD) harmonization, automated extraction of unstructured clinical data via NLP/LLMs, and privacy-preserving machine learning frameworks across decentralized systems.
I am joining the OHDSI community to actively engage with the OMOP Common Data Model and contribute to workgroups around:
Generative AI & Analytics (GAIA) and NLP (applying LLMs and RAG architectures to unstructured health records)
Medical Imaging (harmonizing multimodal imaging features with OMOP CDM)
OHDSI Europe & CDM/HADES engineering pipelines
I am looking forward to contributing to open-source tooling, participating in collaborative network studies, and connecting with researchers, biostatisticians, and data engineers across the network. Feel free to reach out if you are working on similar initiatives or are looking to collaborate in the DACH/European region!
Best regards,
Dr. Arthur Jochems
Principal AI Architect & Founder | Modus Data GmbH
My name is Lina Doukari, and I’m currently in my third year of a Bachelor’s in Networks and Telecommunications, specializing in Systems and Cloud Development at Université Grenoble Alpes in France. I am doing my studies through an apprenticeship as a Fullstack Developer at CCI, where I work on applications deployed across all our company sites in the Auvergne-Rhône-Alpes region !
While my background is rooted in fullstack development and infrastructure, I am deeply interested in Health Informatics. I’m really eager to learn more about this field, share the technical knowledge I have, and contribute to both software development and research papers
Navigating such a rich platform can be a bit overwhelming at first, but I’m super motivated to join workgroups, collaborate with international teams, and apply my skills to meaningful projects.
Outside of tech, I love learning, traveling, and discovering new cultures. I’m thrilled to join the community and look forward to connecting with you all!
I am Thomas Stojanov, originally from eastern France. In 2020, I moved to Basel in Switzerland to pursue a PhD in Clinical Epidemiology that I obtained in July 2024 under the supervision of Prof. Andreas Marc Müller (chief surgeon orthopedics department, Universitätsspital Basel). At the time, I mainly worked on dev/val of prediction models (incl. CROMs, PROMs, AEs, …) after shoulder surgery. I then worked as a Postdoc at the Surgical Outcome Research Center, Universitässpital Basel. I worked on methodological research and also generated real-world safety/effectiveness data for implantation materials using local CDWH data.
In November 2025, I received personal research funding from the Swiss National Science Foundation (Postdoc.Mobility grant) to relocate in the NL work under the supervision of Prof. Ewout Steyerberg at the Julius Center UMC Utrecht until the end of 2027. I also actively collaborate with Erasmus MC and the group of Prof. Ruud Selles. I am mainly focused in methods research & prediction of ordinal outcomes like PROMs after surgical interventions. I am currently finalizing the conversion of two Swiss procedure registries onto the OMOP-CDM; and I plan to perform my analyses in that context… and this currently where I stand!
If you know people interested in ordinal outcome prediction and/or have access to surgical procedure data with baseline/post-op PROMs, feel free to reach out! We probably have a lot things to learn from each other (and to work on )!
I also enjoy running, playing handball, watching football & exploring the NL with my partner!
I met some of the engaged people at the OHDSI Europe Symposium, but never really took the time to write a message here or fully integrate into working groups! I am looking forward to meeting you!
Taking up the invitation in the welcome message to introduce myself. I’m Nick Allen — clinical psychologist, Professor at the University of Oregon, and co-founder/CEO of Ksana Health, a digital mental health company in Eugene, Oregon.
The reason I’ve found my way here: Ksana leads the Large Health Behavior Model (LHBM) program, an ARPA-H-funded effort to build foundation models of health behavior that link continuous smartphone sensing and wearable physiology with longitudinal EHR data. We’re acquiring EHR data from three US health-system partners, and the data harmonization challenge will be familiar to many of you — two systems share data via OMOP but sit on different CDM versions, and a third (a pediatric system) isn’t on OMOP at all. So we’re in the thick of target CDM specification, vocabulary mapping and source-value preservation, ETL design for a non-OMOP source, and fitness-for-purpose validation, with sensitive behavioral health data (42 CFR Part 2, adolescent consent) adding constraints throughout.
We intend to do this the OHDSI way rather than reinventing it (building on the CDM, the standard vocabularies, and tools like WhiteRabbit, Usagi, and the Data Quality Dashboard) and to participate in this community as our work matures, not just extract wisdom from it. I’d be glad to share what we learn about mapping intensive longitudinal behavioral sensing data alongside OMOP-modeled clinical data, which I suspect raises questions the community will increasingly encounter.
A practical question to start: we’re looking to engage a senior clinical data informaticist as a fractional consultant (~50% time, initial 90 days, potential to extend) to lead this harmonization work. I can see professional opportunities have been shared in the General category over the years — is the preferred etiquette to post a standalone topic, add to the long-running professional opportunities thread, or something else? Happy to follow whatever the community norm is.
Looking forward to being here. Any pointers (on posting or on the harmonization challenges themselves) are very welcome.
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