(FoRCE): Powering clinical trials research through a secure and integrated data
David Maslove, Queen’s University
SOSCIP, IBM Canada Ltd., OCE, NSERC
Working in the ICU means Dr. David Maslove often has just minutes to make a decision about the type of treatment his critically ill patients will receive.
To do this, many types of clinical data are collected: electrocardiograms, vital signs, lab tests, x-rays and more. Most data are recorded both in paper charts and electronic medical records and some, such as physiologic waveforms, are typically discarded, making it difficult to utilize for clinical trials and research.
Dr. Maslove, a clinician scientist with the departments of medicine and critical care medicine at Queen’s University and Intensivist at Kingston General Hospital, is conducting research to better understand the role big data can play in developing tailored treatment for critically ill patients by integrating research with real-time treatment.
The inspiration for his SOSCIP-supported research project was born out of frustration.
“To stare at the monitors with my patients in the ICU and see all this data streaming by and wondering if there is something I could be learning from it motivated me to see what we could discover by bringing the data together.”
With support from the Smart Computing R&D Challenge, Dr. Maslove gained access to SOSCIP’s Large Memory System to build what he describes as “a living, breathing database of critical illness physiology”.
“Bringing all the data together in a unified data structure would allow us to conduct more sophisticated inquiries in the setting of a clinical trial.”
Dr. Maslove’s industry partner is Indoc Research, a federally incorporated not-for-profit dedicated to driving scientific innovation and research excellence through the provision of comprehensive bioinformatics and molecular research solutions.
By making efficient use of resource allocation, the project will enable seamless and secure integration of research findings into clinical practice, which is especially crucial in an ICU setting.
Dr. Maslove’s research could support the development of software that is adopted more broadly to support sharing data knowledge that could simultaneously inform future treatment and research trials.
“The key to advancing critical care research is recognizing that all critically ill patients are different. Collecting and analyzing data will allow us to highlight those distinctions and eventually tailor therapies so that each patient gets the right treatment at the right time.”