MDClone’s synthetic data engine produces datasets that mirror the statistical properties of real patient information without including identifiable data, enabling full compliance with PHIPA, PIPEDA, and provincial privacy mandates. This reduces administrative risk while unlocking data access for frontline teams. Dr. Innie Chen has experienced first hand the importance of testing her hypothesis with synthetic data, and then transitioning into the real-world data component to improve the efficiencies in data exploration.
“MDClone has been a game changer in terms of data access. It allows clinicians such as myself to access synthetic data directly; test a potential data request on my own, to see if it is reasonable before engaging the data warehouse team; and ensure that once I engage the data team, the request is as close as possible to exactly what I want.”
Dr. Innie Chen, Assistant Professor, University of Ottawa & Scientist, Ottawa Hospital Research Institute. (Becker’s Hospital Review)
Removing barriers for research
“Using synthetic data ensures that patient privacy is protected and removes barriers, providing our researchers with instant access to health data that they can explore dynamically” Jake Barralet, PhD, Scientific Director of the Clinical Innovation Platform at the RI-MUHC
The ADAMS framework – Ask, Discover, Act, Measure, Share – provides a structured, outcomes-oriented approach to data exploration, activation, and governance, and McGill University Health Centre has tapped into the ADAMS Center playbook as a foundation for its learning system culture.
“We are pleased to be able to provide the MUHC with this cutting-edge data analysis platform. Thanks to the ADAMS Centre, the integration of this new tool will take place within a collaborative, multidisciplinary framework. With this initiative, we aim to ensure that all MUHC employees feel engaged in the continuous improvement of our practices,” – Dr. Alan Forster, MUHC Director of Innovation, Performance and Quality. (McGill News)
The ADAMS framework – Ask, Discover, Act, Measure, Share – provides a structured, outcomes-oriented approach to data exploration, activation, and governance, and McGill University Health Centre has tapped into the ADAMS Center playbook as a foundation for its learning system culture.
“We are pleased to be able to provide the MUHC with this cutting-edge data analysis platform. Thanks to the ADAMS Centre, the integration of this new tool will take place within a collaborative, multidisciplinary framework. With this initiative, we aim to ensure that all MUHC employees feel engaged in the continuous improvement of our practices,” – Dr. Alan Forster, MUHC Director of Innovation, Performance and Quality. (McGill News)
“We can access data in days as opposed to weeks or months and this has a lot of value for researchers, but it also helps us recruit people and develop partnerships with universities and other organizations.” — Deanna Rothwell, Director of Analytics, The Ottawa Hospital (Becker’s Hospital Review)
Healthcare administrators are under pressure to do more with less. Amid rising patient demand and workforce burnout, organizations also need the ability to innovate rapidly and make data-driven decisions. Organizations like The Ottawa Hospital understand the importance of speed to value with self-service data.
“As a healthcare organization we are ahead of the game, and we’ve been ahead of the game for many years. The ability to get your hands on synthetic data is phenomenal. It’s a great story for The Ottawa Hospital.” – Deanna Rothwell