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Welcome to OHDSI! - Please introduce yourself

General
#982

Hello, everyone! My name is Raphael Federicci Haddad. I am a physician with a deep-rooted passion for healthcare informatics and research, currently engaged in big data research at Hospital Israelita Albert Einstein in Brazil. My work revolves around leveraging big data to uncover insights that can drive improvements in patient care and healthcare processes. Having completed the Program in Clinical Effectiveness (PPCR) at Harvard T.H. Chan School of Public Health last year, my commitment to advancing healthcare research has only grown stronger.

My interest in health informatics has led me to delve into the OMOP Common Data Model, exploring its potential to revolutionize healthcare research in Brazil and beyond. As I continue to explore the vast possibilities of OMOP, I aim to contribute to the OHDSI community by sharing my insights and findings, fostering international collaborations, and possibly contributing through running studies, and authoring research papers. I am eager to learn from and collaborate with fellow OHDSI members to push the boundaries of what we can achieve together in health research.

Outside of my professional endeavors, I am an avid enthusiast of technology and its potential to transform healthcare. I look forward to contributing to our collective efforts to improve health outcomes globally and am excited to engage with the OHDSI.

#983

Hello everyone!

I’m Suhyun Kim, a Ph.D. trainee and a student at Seoul National University Hospital and Seoul National University resp. (studying statistics and medical informatics).

The 2023 OHDSI Global Conference was quite enlightening, and it was great to connect with so many dedicated people.

I’m eager to contribute in various ways and hope to both offer and receive support as we all advance in our research endeavors. I’m looking forward to collaborating and sharing insights with everyone here.

Thank you for the warm welcome, and I’m excited to engage further with this community.

#984

Harry Hochheiser, Associate Professor of Biomedical Informatics at the University of Pittsburgh.

In collaboration with Guergana Savova and Jeremy Warner, I am working on a project entitled “Cancer Deep Phenotype Extraction from Electronic Medical Records”. Our goal is to use NLP to extract rich summaries of cancer patient progression, and to provide visual analytics tools that combine this data with structured data in support of cohort identification.

To meet these goals, we are thinking about how to convert our structured data from multiple institutions into appropriate OMOP formats, and how to represent details extracted via NLP in OMOP. I would welcome any discussion/insights on either of these challenges.

#985

Hello!

I recently graduated from a health informatics master’s program. Prior to this, I worked for many years as an ultrasound technologist. Before that, I worked as a journalist.

I’m hoping to learn a lot from being part of the OHDSI community, and I hope to help in any way that I can.

#986

Hi my name is Jacqueline and I am a PhD candidate in the United States. I am a clinical translational scientist focusing on understudied neuro-ophthalmic diseases including idiopathic intracranial hypertension. I use a lot of bioinformatics, epidemiology, and machine learning practices in my research!
Would love to connect!

#987

I’m Catherine Mahoney, joining from the Pharmacoepidemiology team at Eli Lilly. I’m based in our Cork, Ireland office. My background is in statistics and bioinformatics, and I just finished my PhD in statistical genetics at University College Dublin. I had such a great time at the EU Symposium that I can’t wait to get more involved with some of the working groups, especially the new GenAI working group. I’m equally interested in methods development and technical ETL problems, and looking forward to learning more from colleagues in pharma and across the many contributors.

1 Like
#988

Hi all,
I’m Jae-Won and I’m trying to learn more about OHDSI CDM so we can transform our EHR data onto it.
Any guidance on where to start would be wonderful!
I’m currently watching the recording of OHDSI2023 Tutorial here: https://www.youtube.com/watch?v=7-T9a8I1uN8

#989

Hello everyone! My name is Luisa Martinez and I’m a data scientist with clinical background. I have just started working as a Postdoctoral scientist at J&J Innovative Medicine department. I will be involved in OMOP related projects so I am rigth now taking some of the OHDSI courses and reviewing the resources. I am looking forward to join the community and learn from one another!! Hope to be in touch!

#990

Hello @assarabbiya and welcome to OHDSI!

I highly suggest you start with EHDEN Academy. The first course you should take is OMOP CDM and Standardized Vocabularies. Make sure you have a thorough understanding of the content before moving on to the Infrastructure; Extract, Transform and Load; Introduction to Usagi Code Mappings and for an ETL.

The Health Systems Interest Group on MS Teams assists health systems and you can also post specific questions to the CDM Builders group on the forums.

1 Like
#991

Hi, I am Seung Wook (“Wook”) Lee, who is a second-year resident in Internal Medicine with background in Biomedical Engineering. I am deeply interested and agree with approach of the OHDSI community in standardization of the EHR data and utilization of the standardized data in clinical research. My research interest varies, but uttermost interest lies in utilization of clinical data for better health maintenance in an outpatient setting. Of course, I love building regression/deep learning models so any kind of activities involving clinical analytics triggers my interest :))

2 Likes
#992

Hi! My name is Cam Teems. I lead the Commercial and Data teams at Celéri Health. We have an EHR-derived (multi-vendors) dataset of over 200k pain cases - with concomitant outcomes. PainRWD™ Science Cloud. We are a fairly new group of data nerds. We are looking forward to digging in and participating.

#993

Hi Everyone

I am Pradhuman Gupta

I am working as data engineer at G42. I am working observational data and would like to explore it further for faster retrieval access.

#994

Hey!
My name is Aviad Reich. I work for a hospital and we’re trying to leverage our data to improve the treatment patients are getting. I have even asked my first question already :slight_smile:

https://forums.ohdsi.org/t/utilizing-the-cdm-for-clinical-applications-with-second-level-response-times/22076/2

#995

@Seung_Wook_Lee,

Welcome! Let’s connect and exchange the approach for regression & deep learning models.

#996

@Lui Welcome to the OHDSI community!

Let’s connect and explore the potential synergies.

#997

Greetings everyone! My name is Darren W Henderson. I am a Database Admin at the University of Kentucky Center for Clinical and Translational Science (https://www.ccts.uky.edu/) and Institute for Biomedical Informatics (https://www.research.uky.edu/IBI). We have been an ACT/SHRINE i2b2 site since ~2011, and have participated in N3C/4ce, and other federated projects.

We are starting our journey with ODHSI. So far we are working through the CDM documentation as best we can, and have been trying to use some codebase shared on the EPIC forums to ETL clarity/caboodle into the CDM, but could really use some direction on best practices to achieve that goal. We would also welcome any discussions with other sites on their approach to mapping other legacy systems to the CDM.

Thank you.

#998

Dear all,

I am happy to join the OHDSI network. My name is Julia Brosch-Lenz, I am a medical physicist and researcher, currently based at the Institute of Nuclear Medicine in Maryland, US. Looking forward to discussing and explore ways how I can contribute.

Best regards,
Julia

#999

Hi Nick,
Bike in the mountain sound great :slight_smile:
I’m writing to express my keen interest in collaborating on a research project that leverages the unique capabilities of the Israeli national hospital OMOP data-lake.
My name is Guy Livne, head of Health Informatics at the Directorate of medical centers at the Israel ministry of health.
Recently we established a unique OMOP CDM project combine 6 medical centers EHR data, offering a vast array of medical data on a diverse population.

What sets the Kineret data-lake apart:
Extensive coverage: The database provides a comprehensive view of a diverse population, including both urban and rural populations, and spans all age groups.
Data diversity: The database includes FULL EHR data with a comprehensive range of medical data, enabling in-depth analysis of risk factors, treatment outcomes, and the impact of lifestyle on health.
Research potential: The unique characteristics of the database open the door to a wide range of research, from outcomes research to genomic studies.

Collaboration with practice Medical stuff: Every medical informatics study needs a professional physician to “see the all picture”, and a collaborative medical center to make it practice to use.

Saying all the above, we are seeking for research collaboration with other OMOP organization, our data is align with the OHDSI standard and using OHDSI tools and other methods for research.
If this of your interest, I would be happy to schedule a call to discuss the potential benefits of this collaboration and explore the possibilities.

For more information see Page | kineret.

Looking forward,

Best Regards,

Guy

#1000

Welcome to OHDSI, @DarrenWHenderson!

My name is Melanie and I lead the Health Systems Interest Group (HSIG). The HSIG supports health systems / AMCs on every part of their journey from source data to evidence production. We meet every other Monday with our next meeting on Monday, September 9th at 10am EST. Join the OHDSI MS Teams environment here and then you can access all documents and previous meeting recordings on the HSIG channel on MS Teams.

#1001

Hello everyone! My name is João Vitor Pacheco, and I’m from Brazil. I work as a data engineer at Accenture, and I’m also a student at the Instituto Federal do Espírito Santo. Currently, I’m working on my final paper, which focuses on hospital data interoperability, integration, and real-time hospital/health KPIs using Data Lakes.

I recently began my journey with OHDSI, and I’m currently going through the documentation and examples shared in the forums to enhance my research and learn from the community.

I’m excited to be part of this community and look forward to learning and contributing in any way I can!

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