Kia ora/hello everyone, I’m Alastair Kenworthy, chief standards advisor for data and digital at the New Zealand Ministry of Health. The NZ health system’s interoperability roadmap calls for the adoption of the OHDSI/OMOP Common Data Model as a standard for analytic data sets, so here I am to learn how that can be done.
Hi all – pleased and privileged to be a part of this group now, have been a fan of OHDSI for many years. I’m a physician informatician now focused on AI/MLOps in healthcare at ClosedLoop.ai. Practiced for 25 years as a general internist, and Fellowship at Stanford long ago focused on expert systems development and evaluation for DDx. Previously have been CMIO (stanford), Director Clinical Informatics R&D (Partners/MGB), and CIO (Vanderbilt). Looking forward to learning and contributing. Best, B
Hi all- I am Dr.Vikram Patil, a Radiologist from JSS Medical College, JSS Academy of Higher Education & Research,Mysuru,India with interest in the area of Digital Health. I have facilitating the process of Data management along with AI and Digital Health projects in the University.
Hi Everyone! My name is Prashant Thumma. I am the Chief Architect at SevenBridges. We support academic, public and commercial sectors in their genomic and healthcare data analysis. OMOP is one of the cornerstones in making these research activities span across organizations and datasets. I am here to learn about the community and its standards. I’d like to contribute to this community as best as I can.
Hello all - My name is Chris Mecoli, a rheumatologist and physician scientist at Johns Hopkins School of Medicine; new to OMOP/OHDSI. My research focuses on rare outcomes within rare diseases (specifically inflammatory myositis and scleroderma), and I am excited to learn how OMOP can help answer some of our research questions. We are just now starting to transform our clinical and research data to OMOP. I am happy and willing to contribute any knowledge I learn along the way, as well as serve as a collaborator for network studies around the world!
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Hello, am I allowed to reintroduce myself?
I have been an OHDSI fanboy for 5 years but did not engage further after my previous employer hadn’t funded an OMOP ETL. Fast-forward 4 years later, I joined Philips as leader for data strategy in their med device business. It took a year, but I have now built team dedicated to analytics with OMOP data (starting with a licensed dataset). Our goals include increased access for underserved patients and building models that track care pathways.
As an update, recent work included publishing a handful of Phenotypes specific to med device (IJMI) and then using those Phenotypes to explore healthy equity issues in med device use (HRJ abs). Looking forward to being more than just an observer. Thanks!
Hello! My name is Stephanie, and I’m quite new to the field of epidemiology. I am currently in a lab where we are working on a few pilot studies that have to do with testing smartphone applications against traditional neuropsychological tests in aging populations. My background was in program planning in public health, where I worked closely with a population that lived with mental health conditions. My hope for the direction of my future research is to ultimately hop back into the world of mental health and conduct studies based around that.
As for help, I would gladly be of assistance anywhere needed, eventually leading up to running studies and helping out with research papers!
I’m really excited to meet everyone, and I hope to connect with a few of you!
Thank you 
Hi everyone,
My name is Will, I’m a medical student studying at Cambridge University in the UK. I have a background in Engineering, where my main focusses were on embedded systems (IoT) and machine learning. This has progressed into an interest in medical informatics now I’ve re-joined the healthcare space.
I recently found out about OHDSI as part of a research project that involved the OMOP CDM. I’m becoming increasingly passionate about data interoperability in healthcare, and I’m excited to find out more about the initiative, as well hopefully find some avenues where I can help out!
Looking forward to getting engaged in the community. Always happy to connect with anyone, so feel free to drop me a message, or email at wh305@cam.ac.uk
Best,
Will
Hi, my name is Brian Skrade, I work at the Medical College of Wisconsin. I first worked with OHDSI/OMOP through the All of Us Program, converting our Froedtert Hospital data to the OMOP format. Next, I converted data from Froedtert and Children’s Wisconsin to the OMOP format for the American Society of Hematology’s Sickle Cell Registry. I have since converted all of the patient data from Froedtert and Children’s to OMOP. I also installed Atlas to view the data. I have used the Data Quality Dashboard to evaluate our data and then post the results to our Shiny Server. I am interested in learning more about using Atlas to analyze data.
Thanks,
Brian
Hello, my name is Nidhi Basavaraj and I’m a medical student at JSS Medical College, Mysore. I have been interested in organized data collection using Artificial Intelligence in the healthcare industry for a while now. I recently found out about OHDSI from my professor, and I’m excited to find out more about this initiative and to learn about data interoperability in healthcare through this platform!
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Hello! My name is Sarah Gasman. I work at Boston Medical Center as a research analyst with Data 4 Equity group and am new to OMOP and OHDSI. BMC has already converted our data to OMOP; we’re in the process of getting ATLAS up and running.
We are particularly interested in using OHDSI to create ‘Health Equity Explorer’ datasets/dashboards, allowing BMC researchers and clinicians to explore questions related to health equity and social determinants of health in the BMC patient population. We’re planning to use Tableau to host this internally at the moment; hope to replicate with open-source tools that the larger OHDSI community can leverage in the future!
Would love to connect with other groups interested in health equity, social determinants of health, and self-service analytics! Looking forward to learning more!
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hi, joining from Minnesota. I am a ETL developer looking to learn about the CDM
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Hi, eveyone
I am Dohyung Kim.
I am currently working as a researcher at Daegu Technopark, South-Korea.
I have been a hospital information system developer for about 25 years and I am very interested in developing a personal health record system with AI and Blockchain .
Recently, I came across OHDSI while searching for data related to CDM among information sharing methods.
I joined the forum to learn about the development and distribution of CDM.
Thanks to OHDSI for providing a great open data platform.
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Hello Colleagues!
I’m Sanjay M. Udoshi MD, currently serving as a Principal Clinical Consultant to Wellstack.ai. Admittedly, I am late to posting this introduction. I started my OHDSI journey at the beginning of March.
So far, I have spent time learning about the OHDSI stack and investigating how to provide a Cloud based service to accelerate the utilization of the OMOP CDM. We are currently working with a consortium of Pediatrics hospitals in Minnesota, as well as in Wisconsin.
I’m hoping that I can embed and connect here in the forums with workers and leaders who are much further along in the journey, and to derive knowledge and intelligence on how best to provide service to the community.
Feel free to reach out and connect with me here or on LinkedIN.
Wishing you all the best in your endeavors.
-Sanjay
Hi everyone - Ebenezer Tolman here, working at Tufts Medical Center in Boston Mass as Anesthesia Tech, just made Business Manager in the OR. Interested in ‘complex adaptive systems’ applied to physiological time series data, and want to address vocabulary: the word ‘variability’ can mean different things when referring to different measures such as blood pressure, ECG (e.g., Heart Rate Variability, or HRV), EEG, respiration etc. Hoping to contribute to that discussion and thus to help create standardization and shared understanding.
High-frequency physiological waveforms are arguably information-rich, and with research we can collaborate to unravel and exploit that information. Most perioperative waveforms aren’t being saved, seen as too large and noisy. Instead, a periodic summation is stored. But data costs are falling, and once we see the actionable clinical information embedded in signal structure, we’ll begin to collect everything. Right now, only a few medical centers seem to be doing multimodal high-frequency waveform collection: U Michigan, U Toronto (Sick Kids Hosp), Mass General, Yale, U Maryland, Stanford (?), Seoul Nat’l Univ Hosp, Emory U, UCLA/UCI, CWRU/Cleveland Hosp. (Nothing seen in Europe, as yet.) But we’ll need to agree on nomenclature at some point, or these separate databases won’t get leveraged effectively for observational study.
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Hi OHDSI Community!
I’m Jordan Wyrwa. @callahantiff swept me under her wing 3 years ago, and I’ve finally worked up the courage (and have enough time) to write my first post. I am a pediatric rehabilitation medicine fellow physician at Children’s Hospital Colorado (CHCO) and, starting this July, will be an attending, clinician-scientist at CHCO. I worked at the EHR company Epic as a technical services rep (Willow Inpatient) back in 2010-2012 and have been integrating that knowledge and skills with my decade of medical training. All of my OHDSI-related work has been with the good Dr. Callahan (PheKnowLator, OMOP2OBO, Med2Mech), and OMG have they been my passion-projects. Given that my brain is predominantly filled with clinical knowledge at the moment, I’d love to work with anyone doing vocabulary mapping work. I’ve also been a big fan of everything coming out of the PLE/PLP workgroup (especially @jennareps work) and would love to work with anyone and everyone in that group. In rehab medicine, we’re often tasked with prognosticating/predicting how patients will recover from acquired conditions (e.g., brain injuries, spinal cord injuries, stroke) or how they will develop with congenital/hereditary conditions (e.g., cerebral palsy, spina bifida, genetic syndromes, neuromuscular disorders). Existing research gives us a general framework, but we cannot predict how a specific patient will recover/develop.
Lastly, I love writing (can’t you tell 
) and am happy to help writing any papers.
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Welcome @jwyrwa – so glad you are here!! 
I can personally vouch for Dr. Wyrwa, he is a phenomenal collaborator and puts the fun back into clinical mapping work ! 
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The best part about this post was you made me realize we have TWO amazing Dr. Callahans: @callahantiff and @acallahan. 
Welcome, @jwyrwa ! We are so lucky to have you!
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Thanks Tiffany and Kristin! I forgot to mention other “keywords” for my subspecialty that I should have mentioned - childhood-onset disabilities, children with medical complexity, functional outcomes. If you’d like to work with any of these patient populations, then please contact me!
Hi everyone!
I’m Dan, a physician based in the UK. Saw some papers from others coming out of this great community and wanted to get involved.
About me
- New to OHDSI
- Broad clinical background including neurosciences (psychiatry), immunology, oncology, rare diseases and more
- Currently in a specialized residency program (Pharmaceutical Medicine) which encompasses all aspects of drug development, clinical trials and real world evidence.
I’m interested in contributing to research papers, writing papers and learning what types of questions can be posed and answered.
Feel free to get in touch or contact me via drdanielcasey@gmail.com
Best wishes
Dan
Dr Daniel Casey
Faculty of Pharmaceutical Medicine, Royal College of Physicians, UK
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