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Welcome to OHDSI! - Please introduce yourself

Hey fellow IQVIA-n! :wave:

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New here. Working to map our current data standards to OMAP. New to OMAP. Previously worked in Pharma and SDTM conversion. New job and now a new challenge

Hi everyone,

My name is Andreas Rosen. I’m a MD and PhD student at Zealand University Hospital, Center of Surgical Science, Denmark. Currently our center is implementing the OMOP-CDM, where I’m working with mapping the data from the various Danish national health registries. We’re aim at investigating factors in the perioperative that affects postoperatively morbidity and mortality, along with cancer recurrence.

Kind regards,

Andreas

Hello!
Rob Challen. PhD researcher at University of Exeter, working with Taunton and Somerset NHS Trust to set up an OMOP repository and facilitating university collaboration. Personal focus on using data from unstructured text.

Hello everyone, I’m Cristinner, born in Anhui Province. Now I’m studied in Fudan University, my major is epidemiology and health statistics, and I will receive my PhD degree after my graduation in June. And I got my masters degree in Chinese Center for Disease Control and Prevention in 2016. My work focuses on the relationship between health literacy and quality of life and health outcomes among cancer survivors; and the relationship between dietary and chronic diseases. I’m quite interested in data analysis. Looking forward to joining you and contributing where I can. Thanks. Best wishes.

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Hello. My name is Todd Price, PhD and I work in PA as a Senior Decision Support Analyst.

I am looking forward to meeting everyone and getting to know more about the group in terms of resource sharing and understanding between everyone.

My day to day work involves working with data sets from our native systems and helping staff and groups make sense of the trends and information we are seeing.

tp

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What’s that, Todd?

Sorry, I forgot this is a global group.

PA = The State of Pennsylvania in the United States.

tp

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Hello, my name is Dave Barman. I am an information scientist and I have been working in the analytics and data management field since 2003. I have worn many hats during my career, as a developer, infrastructure specialist, business analyst, project manager, data architect, solution architect etc. At the Children’s Hospital of Philadelphia I worked as a founding member of the team for enterprise analytics and guided the enterprise through adoption and maturation of analytics. Having ‘been there done that’ for many aspects of EHR data, I am thrilled now to be part of the OHDSI community and want to put my experience to work in advancing the CDM and assisting organizations in adoption. I am working with Odysseus Data Services and thrilled to start on this journey. It is a pleasure to meet everyone.

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Hello, my name is Sebastien Cossin. I am a MD and a PhD student at Bordeaux University Hospital, France.
I’m currently working as a datascientist to help clinicians reuse data for clinical research. We use an i2b2 datawarehouse. I had my first OHDSI course today with @Christian_Reich

Kind regards,
Sebastien

Hello everybody, my name is Robin Roehm and I am the Co-Founder of apheris AI. At apheris we are developing technology for privacy preserving computations. In particular, we leverage differential privacy and federated machine learning. I am thrilled now to be part of the OHDSI community and looking forward to adding value and learn more about the great projects. It is a pleasure to meet all of you.

Hi, This is Rajeev. I am co-founder of 47Billion (http://47billion.com). We are working on healthcare automation products in risk adjustment, auditing and quality management (HEDIS). We are developing pipelines with structured and unstructured data to ingest in CDM and provide HEDIS measurements over CDM. I am interested in others who mapped quality measurements over CDM so we can co-operate and contribute to each other’s efforts. Looking forward to learn more, ask questions and respond to anything we know based on our experience.

Hello,
My name is Kim Lauper. I am physician specialised in rheumatology from Geneva, Switzerland, and I am training as a epidemiologist.
I am currently a clinical research fellow at the Centre for Epidemiology Versus Arthritis in Manchester (formerly Arthritis Research UK Centre for Epidemiology) on a fellowship from the Geneva University Hospitals.
I work on disease and drug registers in inflammatory diseases. My current research projects focuses on comparative effectiveness and safety of biological treatments in observational real-world data and their methodological issues.
Looking forward to interacting with you :slight_smile:
Kim
Twitter: @k_lauper

Hello everyone,

I’m Benjamin (usually, just Ben) from Denmark and currently doing a PhD in clinical pharmacology and medical informatics, trying to use electronic medical records and national registries to detect/verify polypharmacy-related adverse drug reactions, at Zealand University Hospital in Denmark. My main areas of scientific interest are valid rational healthcare utilisation, causal inference, patient risk-stratification and visualisation.

After becoming MD, I did a Master’s on epidemiology and biostatistics in Rome, Italy. I’m R fluent, know quite some Python, SQL (now learning PostgreSQL) and Stan (for Bayesian data analysis).

I hope to get to know and work with a bunch of you!

Cheers,
Ben

Ben - welcome to OHDSI!

Hello team,

My name is Teresa Garcia from Hospital 12 de Octubre, Madrid, Spain.
I very much enjoyed participating in the OHDSI symposium in Rotterdam.
I learned to start in this OHDSI world, so I’m looking forward to start transforming our repository of EHR Thank you for getting to know, I will be in touch.
Kind Regards,
Have a nice day,
Teresa

I am a Nigerian with first graduate program in Machine Learning(ML) to support electricity distribution and management . See my My Previous work.
Currently i’ve switched into applying my ML skills in healthcare for better Connected Health & Decision support Management. I am now graduate student (MSC) at the department of computer science, University of Victoria, Canada with focus on Computational Geriatrics. using my background is in software engineering and data analytics to support several industrial partners within the health sector.
I currently lead a winning team for healthcare challenge called Code Hack. Seeing this success, i felt i am indebted to the community of healthcare to add more value.

I will be glad to involve in software development and analytics(Machine Learning & AI)

Hi everyone!

My name is Elpida and I am a PhD student at the University of Liverpool, working on developing a Bayesian approach to detecting signals of drug-drug interactions in spontaneous reporting databases.

Before starting my doctoral studies, I completed a 5-year Pharmacy degree in Athens, Greece.

In terms of programming skills, I mostly use Python and SQL (lately at an increasing rate), while I was involved in R and Matlab projects in the past.

I very much enjoyed the community vibes during the European symposium in Rotterdam and look forward to getting actively involved and interacting with you :slight_smile:

Cheers,
Elpida

PS Feel free to connect with me on LinkedIn and/or follow me on Twitter :slight_smile:

Hi All.

I am Phil Quinlan from the UK and based at the University of Nottingham. My day job is to run the University’s digital research service. Within that role I am the Director of the UKCRC Tissue Directory and Coordination Centre and an Associate Director in HDR UK. What we are focused on is helping biobanks being discoverable, and a key component to that is the clinical annotations.

I have joined to see if we could just adopt OMOP for the clinical annotations, but also to understand the process for the work in the biobanking world (such as MIABIS) could be integrated into this work. The (re)merging of the biobank data with the clinical domain remains a big challenge and I think OMOP offers a nice method to bring some standardisation.

Hey Phil - We’re working in this same space. I’m curious to hear more about the challenges of clinical clinical/genomic data. We might be able to help each other. What do you see as the biggest roadblocks?

t