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Welcome to OHDSI! - Please introduce yourself

(Jami Jackson Mulgrave) #316

Hi @SCYou! I am interested in this work on Bayesian deep learning. Could you send me more information on what you are trying to do and the PLP package?

(Yoon, Kwon Ha) #317

Hi Everyone

I’m Kwon-Ha Yoon, Professor of Department of Radiology, Wonkwang University Hospital, South Korea. I have interest to built up the Radiology CDM (R-CDM) with collaboration of Ajou University rwpark’s lab. Thank you all for the good opportunity to join this wonderful work.

(Simon Daniel Eiriksson) #318

Hi there,

My name is Simon Eiriksson, and I was recently introduced to OHDSI through the provincial administration in Denmark. I have a long-term interest in health data for research purposes, specifically with respect to Danish health registries and their use in research.

I currently work as independent software developer and data analyst, and was hoping to be able to learn more about the OMOP CDM and OHDSI from this forum. More specifically, I am interested in the possibilities of transforming Danish health data to the OMOP CDM for use with OHDSI.

(Niccolò Tempini) #319

Hi all,
nice to meet you digitally. I am Niccolò Tempini, an information systems and science and technology studies scholar based in Exeter, UK. My specialty is in the social study of data and computation: looking at practices, organisational innovations, methods, and epistemic standards linked to the use and development of information technology. Despite forays in mobile and public administration infrastructure studies, I have been almost entirely dedicated to the study of biomedical data and computing technology.

I am introducing myself to you as I am developing an ESRC (Economic and Social Research Council) application, to be fully submitted in a couple of weeks time (I am sorry this is so late notice), aimed at studying machine learning application development and implementation in health contexts.

What might be interesting is that the project is aimed at developing a ‘methodological toolkit’ to better account for social and situational factors in the development and real-world/routine implementation of ML tech developed by researchers. This would leverage from observations I would acquire through established analytical frameworks from the social sciences (ethnomethodology one of them), it would revisit established ‘soft’ methodologies for problem design, and it would be co-developed with fieldwork collaborators. Recently I have also been awarded a Turing Fellowship at the Alan Turing Institute, the UK’s national institute for data science, so now the application will involve more of the ATI’s networks.

At the moment I am looking for leading organisations/teams/projects interested in collaborating on this, that I could visit to gather views on the local ML development practices and experiences, and that I could relate to, to co-produce the main proposition of the project, a methodology for anticipating and integrating crucial features of diverse social contexts that shape ML implementation in real world contexts of use. Somehow I did not know about OHDSI until yesterday, when a colleague pointed me to it. I am so impressed by the potential to converge with the interests of some of the members.

If you would like to scope the idea further and see whether there could be mutual interest in collaborating, I would love to explore this with those of you whom this is of interest. I am happy to brief you about the project in a couple of paragraphs if it is of interest, and to answer any question you may have.

I would be grateful if you could share your thoughts when you have time, and if you have any availability to discuss this. Unfortunately, time factor is pressing.

My email is n.tempini@exeter.ac.uk
Hope to hear from you.

(Rob Snowie) #320

Hello, I’m Robert Snowie. My background is in business Database Systems. I’m currently lead architect for a large Cohort Cancer study project in China. Specifically Lung Cancer at this time. However the tool sets we’re creating have been designed for all Cancer sub specialties. Now looking at North American, European and other continents for geonomic data cooperation. Anyone interested in that discussion, please contact me directly.

(Fabrício Kury) #321

Hello, I’m Fabrício Kury, currently a postdoc at Dr. Chunhua Weng’s lab at Columbia University. I have done a few observational clinical studies myself using MIMIC and Medicare claims. I have also analyzed the financials of Medicare Accountable Care Organizations, and done a bit of work on medical terminologies (drug classification systems).
Previously I was a postdoc at the Lister Hill Center/National Library of Medicine/U.S. National Institutes of Health, after graduating in Medicine at the Federal University of Rio de Janeiro, Brazil.
One type of contribution I think I can make is write analytical code (R, SQL, SAS) for OHDSI-based studies, if someone needs this kind of helping hand.
Kind regards!


Hi All,
I am Michael Qiu and I’m currently a manager of data analytical team at NorthWell Health System. I have been managing the clinical database for more than 4 years. My team’s responsibility is to help researchers query, analysis and visualize on the clinical data. We are planning to covert our database to OHDSI data model to better support researchers.
And I would like to become involved in any OHDSI group involved in running studies, CDM as well as continuing to remain involved in OMOP database development, where possible.

(Ines Ramos) #323


My name is Inês Ramos and I work as a data analyst at the  Portuguese Medicines and Health Products Authority (aka Infarmed), where I develop drug utilization studies and policies impact evaluations using primarily drug reimbursement claims .

One of my main projects at work is a study of the treatment pathways in diabetes using reimbursement claims. We hope to publish the first paper arising from this project soon.

While I was doing the bibliographic revision, I stumbled upon the paper 'Characterizing treatment pathways at scale using the OHDSI network' and thought it was an amazing endeavour. So here I am.

I am curious if we could adapt the Portuguese data to the OMOP common data model and, perhaps, participate in a future study. It would be an amazing improvement if we could benchmark the results against results from other countries.

Can you help me satisfy my curiosity? 

Icons made by Portugal from www.flaticon.com is licensed by CC 3.0 BY

(Miguel A. Mayer) #324

Hi everyone,

My name is Miguel-Angel Mayer and I’m a medical doctor, PhD in Biomedical Informatics and Senior Researcher at the Research Programme on Biomedical Informatics (GRIB) at the Medical Research Institute Hospital del Mar and the Pompeu Frabra University in Barcelona (Spain).

We participated in the EU project “European Medical Information Framework (EMIF)”, where there was a very intense and amazing activity related to the implementation of OHDSI in all the EHR databases participating in this project, including our EHR information system of our hospitals.
In our lab we have worked and are working on several research projects such as cancer comorbities, Alzheimer’s disease, genotype and phenotype linking and so on, so we are very interested in running research projects in collaboration using the OHDSI tools, write research papers, etc.

Thanks for this amazing initiative!

(Christian Reich) #325

We are working on a Brazilian dataset. If you still want to call it Portuguese what they are talking over there feel free to reach out, and the team could help with mapping of things.

(Jose Posada) #326

Hi everyone,

My name is Jose Posada, and I recently joined Stanford as a Sr. Clinical Data Scientist within the Department of Medicine where I will be involved in the wonderful work that @nigam and @somalee are doing with OHDSI. Before this position, I was at University of Pittsburgh working in extracting social determinants of health from psychiatric reports using deep learning.

My native language is Spanish, so I will be delighted to contribute with efforts in the beautiful Español.

Outside of work, I play the trumpet anytime my 2-year-old boy allows me to :smile:

(Susanne Seuchter) #327

Greetings from Germany,:
My name is Susanne Seuchter and I just joined the data integration team at the University Hospital Erlangen which is a partner in the MIRACUM project (one of the four funded projects in the German Medical Informatics Initiative). We are using OMOP as the data model of one of our research data repositories and I shall work on data quality analyses. For this purpose I‘m now starting to look into OHDSI-tools and trying to learn how I can use those.

(Steve Patterson ) #328

My name is Steve Patterson and I have been at UVA Health System for the past 6 months, mainly working on REDCap but recently on helping get the OMOP Model stood up. We are sourcing from EPIC’s Clarity DB.

Incidentally, I am currently at the OHDSI 18 Symposium in Rockville, MD. If you are present at OHDSI '18 (at the OMOP CDM Session) and either attempting or have completed sourcing data from EPIC Clarity to OMOP I’d love to talk with you for a few minutes following the OMOP Session today (10/11) at 5pm. I’d love to collaborate with you and see how we can help each other. Meet at the back of the room at 5 immediately following today’s session. I’m wearing a white button up shirt and jeans.

(Subha Madhavan) #329

Hello! I am Subha Madhavan from Georgetown University Medical Center working at the Innovation Center for Biomedical Informatics. Our team has followed OHDSI for a couple of years. We are now working with EHR and claims data on various projects and would like to be part of the OHDSI community to learn best practices, models and methods others are using for similar usecases and share our lessons learned with those interested. Looking forward to the journey! I am at the OHDSI symposium today in Bethesda in case anyone wants to say hello:)

Outside of work, I like to exercise/yoga, cook and travel.

(qiongwang) #331

I am running my studies at UTHealth in Houston now. One of the studies is encoding Chinese EMR with ICD-10 then match to SNOMED CT. Let me know if you are interested in this topic.

(Sebastian Mate) #332


My name is Sebastian Mate. I’m a computer scientist also working for the University Hospital in Erlangen and a colleague of Susanne (see three posts above). We hope to be able to use parts of OMOP and the associated tools to build a “standardized” research network over here in Germany, as part of the MIRACUM project.

I’ve used i2b2 a lot in recent years as I was researching in the areas of secondary use of data, phenotyping, data harmonization and semantics (mapping, Semantic Web, temporal logic, …), but OMOP is new to me and I’m really excited to get started! I truely appreciate your efforts within OHDSI!

Best wishes from Erlangen

(Terrence Thompson) #333

Hello! I’m switching positions in the clinic in which I work. OHDSI is what I’ll mainly be working on.
The practice where I am only had one person in IT handling this part and they quit, so I’m basically teaching myself as I go along.
Anyone else having trouble logging on (via remote desktop) using the available list of IP addresses?

(Abiodun Akogun) #334

My name is Abiodun Akogun. I am a Data Scientist for the Enterprise Data Management & Analytics team at CHRISTUS Health in Irving TX. While I am new to the health care space, I have been a technologist for over 15 years. I have advanced degrees in Electrical Engineering and Analytics/Data Science.

I would like to help the community with research papers and possibly Machine Learning Models and how we can use such models to improve patient care.

I run a machine learning meetup(Katy Data Analytics & Machine Learning) here in Texas. I look forward to applying such skills specifically in the health care space.

Thank You.

(Daniel Lima) #335


I am a PhD Student of Computer Science and Mathematics at the ICMC/USP DataBases and Images Group in São Carlos, Brazil. Currently I’m colocated at the University of São Paulo Faculty of Medicine Clinics Hospital Heart Institute (InCor), providing technical support for InCor’s CDM adoption.
I have been studying all the OHDSI work, looking forward to contribute with bugfixes and future updates. It has been a great pleasure.

Nice to meet you!

(Gunn Signe Jakobsen) #336

I am Gunn Signe Jakobsen, MD, PhD. My research work is in treatment of severe obesity using health registry information, and my day job is with the Norwegian Directorate of E-health where I am working with SNOMED CT. I listened this morning to a very inspiring speech by Christian Reich at SNOMED Expo. I really support the ideas and values of this society that he communicated, and hope that I can contribute in some way.