Utilising worldwide health data platforms to improve the safety and efficacy of medicines, devices and vaccines
While real world data are readily available in databases across the word they are often disparate, have different data structures and access to them is complex.
To address this issue and ensure that real world data are used to their full potential, many collaborations are transforming heterogeneous datasets into harmonised Common Data Models (CDMs).
The OMOP Common Data Model is one such model that has been developed by the Observational Health Data Sciences and Informatics (OHDSI) collaboration.
OHDSI’s mission is to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. OHDSI has created a community of thousands of collaborators, a federated database with approximately 12 percent of the world’s population, models and standards for representing that population, and systematic research methods and tools that allow for the generation of large-scale, reliable evidence in health care.
I will provide an overview of OHDSI and discuss how the OHDSI framework can be employed to generate the evidence that policy-makers, clinicians and consumers need to ensure the safe and effective use of medicines, devices and vaccines.
Speaker Profile
Professor Nicole Pratt, Professor, University of South Australia
Prof Pratt is the Deputy Director of the Quality Use of Medicines and Pharmacy Research Centre, University of South Australia, and a Fellow of the International Society of Pharmacoepidemiology (FISPE). She is an expert in biostatistics specialising in development of methods to study the effects of medicines and medical devices in large linked healthcare datasets. She is a chief investigator of the NHMRC Medicines Intelligence Centre of Research Excellence and leads NHMRC Project Grants including; Large scale evidence generation for the utilisation and safety of biologic medicines and Enhancing joint replacement outcomes through national data linkage. Nicole is a long term collaborator on Observational Health Data Sciences and Informatics (OHDSI), a multi-stakeholder, interdisciplinary collaborative to create open-source solutions that bring out the value of observational health data through large-scale analytics. Nicole is a member of the Drug Utilisation Sub-Committee of the PBAC and a core member of International Society of Pharmacoepidemiology Task Force on Real World Evidence Reproducibility and Transparency.
Weekly seminar series
As part of our centre's vibrant research culture, we host a weekly seminar series. Visiting and invited researchers present current research relating to the economics of health and wellbeing, and the healthcare sector. Visitors are welcome to join these sessions where discussion and debate is encouraged.
For further information on our seminar series, please contact shannon.stanwell@monash.edu
Event Details
- Date:
- 2 August 2023 at 12:00 pm – 1:00 pm
- Venue:
- In-person at Caulfield campus, Building H, Level 9, Room H9.21
- Categories:
- CHE Seminar; Health Economics
Description
While real world data are readily available in databases across the word they are often disparate, have different data structures and access to them is complex.
To address this issue and ensure that real world data are used to their full potential, many collaborations are transforming heterogeneous datasets into harmonised Common Data Models (CDMs).
The OMOP Common Data Model is one such model that has been developed by the Observational Health Data Sciences and Informatics (OHDSI) collaboration.
OHDSI’s mission is to improve health by empowering a community to collaboratively generate the evidence that promotes better health decisions and better care. OHDSI has created a community of thousands of collaborators, a federated database with approximately 12 percent of the world’s population, models and standards for representing that population, and systematic research methods and tools that allow for the generation of large-scale, reliable evidence in health care.
I will provide an overview of OHDSI and discuss how the OHDSI framework can be employed to generate the evidence that policy-makers, clinicians and consumers need to ensure the safe and effective use of medicines, devices and vaccines.
Speaker Profile
Professor Nicole Pratt, Professor, University of South Australia
Prof Pratt is the Deputy Director of the Quality Use of Medicines and Pharmacy Research Centre, University of South Australia, and a Fellow of the International Society of Pharmacoepidemiology (FISPE). She is an expert in biostatistics specialising in development of methods to study the effects of medicines and medical devices in large linked healthcare datasets. She is a chief investigator of the NHMRC Medicines Intelligence Centre of Research Excellence and leads NHMRC Project Grants including; Large scale evidence generation for the utilisation and safety of biologic medicines and Enhancing joint replacement outcomes through national data linkage. Nicole is a long term collaborator on Observational Health Data Sciences and Informatics (OHDSI), a multi-stakeholder, interdisciplinary collaborative to create open-source solutions that bring out the value of observational health data through large-scale analytics. Nicole is a member of the Drug Utilisation Sub-Committee of the PBAC and a core member of International Society of Pharmacoepidemiology Task Force on Real World Evidence Reproducibility and Transparency.
Weekly seminar series
As part of our centre's vibrant research culture, we host a weekly seminar series. Visiting and invited researchers present current research relating to the economics of health and wellbeing, and the healthcare sector. Visitors are welcome to join these sessions where discussion and debate is encouraged.
For further information on our seminar series, please contact shannon.stanwell@monash.edu