“Yan Fossat's professionalism and work ethic are elements that I've strived to carry on with me since my work with Bronskill and Company, and are indispensable qualities that have proven to be effective and strategic in countless instances. I recommend Yan wholeheartedly as a dedicated and masterful professional, as well as an energetic and charismatic friend and colleague.”
About
Senior multidisciplinary Digital Medicine Innovator with 20+ years track record of developing digital health solutions that improve patient outcomes and transform the healthcare industry. Strategic thinker and strong leader with the ability to drive change and navigate the medical and commercial complexities of digital health.
Activity
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The hardest part of writing a social science paper, solved: "Claude, make this all nice in LaTeX"
The hardest part of writing a social science paper, solved: "Claude, make this all nice in LaTeX"
Liked by Yan Fossat
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At Google, we're exploring ways to use AI to extract health insights from acoustic data. 🩺 Earlier this year, we introduced Health Acoustic…
At Google, we're exploring ways to use AI to extract health insights from acoustic data. 🩺 Earlier this year, we introduced Health Acoustic…
Liked by Yan Fossat
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Has anyone considered that by answering these ‘What would you do if your production / post is blank, blank, blank…’ questions you are feeding AI so…
Has anyone considered that by answering these ‘What would you do if your production / post is blank, blank, blank…’ questions you are feeding AI so…
Liked by Yan Fossat
Experience
Licenses & Certifications
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Ethical Conduct for Research Involving Humans (TCPS 2)
Government of Canada
IssuedCredential ID 0001290670 -
Sex and Gender in Primary Data Collection with Human Participants.
Canadian Institutes of Health Research | Instituts de recherche en santé du Canada
Issued -
Sex and Gender in the Analysis of Secondary Data from Human Participants.
Canadian Institutes of Health Research | Instituts de recherche en santé du Canada
Issued -
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CAP. Certified photographer (medical imaging)
Ministère de l'Éducation nationale et de la Jeunesse
Issued
Publications
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Homeostasis as a proportional–integral control system
Nature Digital Medicine
According to medical guidelines, the distinction between “healthy” and “unhealthy” patients is commonly based on single, discrete values taken at an isolated point in time (e.g., blood pressure or core temperature). Perhaps a more robust and insightful diagnosis can be obtained by studying the functional interdependence of such indicators and the homeostasis that controls them. This requires quasi-continuous measurements and a procedure to map the data onto a parsimonious control model with a…
According to medical guidelines, the distinction between “healthy” and “unhealthy” patients is commonly based on single, discrete values taken at an isolated point in time (e.g., blood pressure or core temperature). Perhaps a more robust and insightful diagnosis can be obtained by studying the functional interdependence of such indicators and the homeostasis that controls them. This requires quasi-continuous measurements and a procedure to map the data onto a parsimonious control model with a degree of universality. The current research illustrates this approach using glucose homeostasis as a target. Data were obtained from 41 healthy subjects wearing over-the-counter glucose monitors, and projected onto a simple proportional–integral (PI) controller, widely used in engineering applications. The indicators quantifying the control function are clustered for the great majority of subjects, while a few outliers exhibit less responsive homeostasis. Practical implications for healthcare and education are further discussed.
Other authorsSee publication -
The Need for Artificial Intelligence in Digital Therapeutics
Digital Biomarkers. Karger AG, Basel
Digital therapeutics is a newly described concept in healthcare which is proposed to change patient behavior and treat medical conditions using a variety of digital technologies. However, the term is rarely defined with criteria that make it distinct from simply digitizedversions of traditional therapeutics. Our objective is to describe a more valuable characteristic of digital therapeutics, which is distinct from traditional medicine or therapy: that is, the utilization of artificial…
Digital therapeutics is a newly described concept in healthcare which is proposed to change patient behavior and treat medical conditions using a variety of digital technologies. However, the term is rarely defined with criteria that make it distinct from simply digitizedversions of traditional therapeutics. Our objective is to describe a more valuable characteristic of digital therapeutics, which is distinct from traditional medicine or therapy: that is, the utilization of artificial intelligence and machine learning systems to monitor and predict individual patient symptom data in an adaptive clinical feedback loop via digital biomarkers to provide a precision medicine approach to healthcare. Artificial intelligence platforms can learn and predict effective interventions for individuals using a multitude of personal variables to provide a customized and more tailored therapy regimen. Digital therapeutics coupled with artificial intelligence and machine learning also allows more effective clinical observations and management at the population level for various health conditions and cohorts. This vital differentiation of digital therapeutics compared to other forms of therapeutics enables a more personalized form of healthcare that actively adapts to patients’ individual clinical needs, goals, and lifestyles. Importantly, these characteristics are what needs to be emphasized to patients, physicians, and policy makers to advance the entire field of digital healthcare.
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Enhancing the Patient Experience for Individuals Undergoing Endoscopic Procedures Using Virtual Reality
Journal of Pediatric Gastroenterology & Nutrition
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Predicting Glycemia in Type 1 Diabetes Patients: Experiments in Feature Engineering and Data Imputation
Journal of Healthcare Informatics Research
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Do you understand the words that are comin outta my mouth?Voice assistant comprehension of medication names
Nature digital medicine
This study investigated the speech recognition abilities of popular voice assistants when being verbally asked about commonly dispensed medications by a variety of participants. Voice recordings of 46 participants (12 of which had a foreign accent in English)were played back to Amazon’s Alexa, Google Assistant, and Apple’s Siri for the brand- and generic names of the top 50 most dispensed medications in the United States. A repeated measures ANOVA indicated that Google Assistant achieved the…
This study investigated the speech recognition abilities of popular voice assistants when being verbally asked about commonly dispensed medications by a variety of participants. Voice recordings of 46 participants (12 of which had a foreign accent in English)were played back to Amazon’s Alexa, Google Assistant, and Apple’s Siri for the brand- and generic names of the top 50 most dispensed medications in the United States. A repeated measures ANOVA indicated that Google Assistant achieved the highest comprehension accuracy for both brand medication names (M=91.8%, SD=4.2) and generic medication names (M=84.3%,SD=11.2), followed by Siri (brand names M=58.5%, SD=11.2; generic names M=51.2%, SD=16.0), and the lowest accuracy by Alexa (brand names M=54.6%, SD=10.8; generic names M=45.5%, SD=15.4). An interaction between voice assistant and participant accent was also found, demonstrating lower comprehension performance overall for those with a foreign accent using Siri (M=48.8%, SD=11.8) and Alexa (M=41.7%, SD=12.7), compared to participants without a foreign accent (SiriM=57.0%, SD=11.7; AlexaM=53.0%, SD=10.9). No significant difference between participant accents were found for Google Assistant. These findings show a substantial performance lead for Google Assistant compared to its voice assistant competitors when comprehending medication names, but there is still room for improvement.
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A comparison of nature and urban environments on creative thinking across different levels of reality
Journal of Environmental Psychology
Highlights
2D and 3D nature videos elicited higher creativity compared to urban videos.
Real-life nature and urban environments elicited equally high creativity.
Urban stimuli watched indoors diminished creativity performance versus nature stimuli. -
Using mobile virtual reality to enhance medical comprehension and satisfaction in patients and their families
Perspectives on Medical Education
Patients are typically debriefed by their healthcare provider after any medical procedure or surgery to discuss their findings and any next steps involving medication or treatment instructions. However, without any medical or scientific background knowledge, it can feel overwhelming and esoteric for a patient to listen to a physician describe a complex operation. Instead, providing patients with engaging visuals and a virtual reality (VR) simulation of their individual clinical findings could…
Patients are typically debriefed by their healthcare provider after any medical procedure or surgery to discuss their findings and any next steps involving medication or treatment instructions. However, without any medical or scientific background knowledge, it can feel overwhelming and esoteric for a patient to listen to a physician describe a complex operation. Instead, providing patients with engaging visuals and a virtual reality (VR) simulation of their individual clinical findings could lead to more effective transfer of medical knowledge and comprehension of treatment information. A newly developed VR technology is described, called HealthVoyager, which is designed to help facilitate this knowledge transfer between physicians and patients. The platform represents a customizable, VR software system utilizing a smartphone or tablet computer to portray personalized surgical or procedural findings as well as representations of normal anatomy. The use of such technology for eliciting medical understanding and patient satisfaction can have many practical and clinical applications for a variety of disease states and patient populations.
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Physicians’ Perceptions of Chatbots in Healthcare: A Cross-Sectional Web-Based Survey
Journal of Medical Internet Research
Many potential benefits have been theorized on the uses for chatbots within the context of healthcare, such as improved patient education and treatment compliance. However, little is known about the perspectives of practicing medical physicians on the use of chatbots in healthcare, even though these individuals are the traditional benchmark of proper patient care.
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Compassion through tele-empathy: technology-mediated symptom transference
Royal college of physicians. Future Healthcare Journal
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Adult Verbal Comprehension Performance is Better from Human Speakers than Social Robots, but only for Easy Questions
International Journal of Social Robotics
The present study examined whether any differences existed in verbal comprehension performance when information was communicated through either a human or a robot speaker, and whether the nonverbal communication of either a “high social” robot (i.e., frequent gestures, direct head gaze) or a “low social” robot (i.e., no gestures, indirect head gaze) influenced comprehension. This study also assessed whether question difficulty moderated comprehension performance.
Patents
Projects
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Voice to Diabetes
Published in Mayo Clinic Proceedings: Digital Health, the study outlines how Klick Labs scientists used six to 10 seconds of people’s voice, along with basic health data, including age, sex, height, and weight, to create an AI model that can distinguish whether that individual has Type 2 diabetes. The model has 89 percent accuracy for women and 86 percent for men.
Other creators -
HealthVoyager
HealthVoyager allows patients to be fully engaged and immersed in their own health journey. Leveraging patient data found within the hospital electronic medical record, HealthVoyager allows patients to visualize and explore their health in a way never before possible.
Other creatorsSee project -
SymPulse tele-empathy device
- Present
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Helio/Volari COPD
Winner of the Most Valuable Patient Initiative award, EyeForPharma, 2015.
Helio/Volari is a next‐generation disease and lifestyle mobile phone application. Through an innovative interface, design philosophy, and technical implementation, it has proved to be uniquely engaging and effective in modifying patient behaviour. The Helio App supports patients in changing their behaviour, tracking their disease, and motivating them throughout their ongoing treatment. It does this through a gamified…Winner of the Most Valuable Patient Initiative award, EyeForPharma, 2015.
Helio/Volari is a next‐generation disease and lifestyle mobile phone application. Through an innovative interface, design philosophy, and technical implementation, it has proved to be uniquely engaging and effective in modifying patient behaviour. The Helio App supports patients in changing their behaviour, tracking their disease, and motivating them throughout their ongoing treatment. It does this through a gamified rewards structure, novel interactions, data visualization, and algorithmic insight. The core tenets of Helio – education, feedback, and rewards – are universal to changing behaviour in almost all symptomatic disease states. -
myIBD
Concept design and high level creative for this innovative App designed to assist young patients in managing their IBD.
This App was built for the Hospital for Sick Children in Toronto. -
Happy Nurse
The Johnson & Johnson Campaign for Nursing’s Future presents Happy Nurse™. Begin by creating your customized nurse avatar, then in a race against the clock maneuver your avatar through an obstacle course set in a variety of relevant nursing settings, and do your best to avoid all obstacles in your path.
The Johnson & Johnson Campaign for Nursing's Future created Happy Nurse™ in recognition of the need to have resources to help nurses decompress and unwind from the multitude of…The Johnson & Johnson Campaign for Nursing’s Future presents Happy Nurse™. Begin by creating your customized nurse avatar, then in a race against the clock maneuver your avatar through an obstacle course set in a variety of relevant nursing settings, and do your best to avoid all obstacles in your path.
The Johnson & Johnson Campaign for Nursing's Future created Happy Nurse™ in recognition of the need to have resources to help nurses decompress and unwind from the multitude of professional stressors they encounter on a daily basis.
Visit www.DiscoverNursing.com/HappyNurse and www.Facebook.com/jnjnursingnotes for more information!Other creatorsSee project -
VancoCalc
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It has been suggested that Bayesian dosing apps can assist in the therapeutic drug monitoring of patients receiving vancomycin. Unfortunately, Bayesian dosing tools are often unaffordable to resource-limited hospitals. Our aim was to improve vancomycin dosing in adults. We created a free and open-source dose adjustment app, VancoCalc, which uses Bayesian inference to aid clinicians in dosing and monitoring of vancomycin.
https://formative.jmir.org/2022/3/e30577Other creatorsSee project
Honors & Awards
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Cannes Lions Innovation Grand Prix
Cannes Lions
"Voice 2 Diabetes" centers on a groundbreaking study from Klick Labs that combines voice technology with artificial intelligence to revolutionize diabetes detection. The study, published in 'Mayo Clinic Proceedings: Digital Health', reveals that determining whether a person has Type 2 diabetes could be as easy as having them speak a few sentences into their smartphone.
Klick Labs scientists used six to ten seconds of a person's voice, along with basic health data such as age, sex…"Voice 2 Diabetes" centers on a groundbreaking study from Klick Labs that combines voice technology with artificial intelligence to revolutionize diabetes detection. The study, published in 'Mayo Clinic Proceedings: Digital Health', reveals that determining whether a person has Type 2 diabetes could be as easy as having them speak a few sentences into their smartphone.
Klick Labs scientists used six to ten seconds of a person's voice, along with basic health data such as age, sex, height, and weight, to create an AI model with an accuracy of 89 percent for women and 86 percent for men. The study involved 267 participants, both non-diabetic and Type 2 diabetic, who recorded a phrase into their smartphones six times daily for two weeks. From over 18,000 recordings, researchers analyzed 14 acoustic features to identify differences between non-diabetic and Type 2 diabetic individuals. -
Winner of Digital Health Innovation Challenge for Inflammatory Bowel Disease
Eli lilly
Winner of Digital Health Innovation Challenge for Inflammatory Bowel Disease.
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ELITE Transformational Leader
PM360
https://www.pm360online.com/elite-transformational-leader-yan-fossat-of-klick-health/
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Top 10 Innovation catalysts
MM&M
http://www.mmm-online.com/top-10-innovation-catalysts/klick-technology-innovation-healthcare/article/647318/
Languages
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English
Native or bilingual proficiency
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French
Native or bilingual proficiency
Recommendations received
2 people have recommended Yan
Join now to viewMore activity by Yan
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Out of 350,000 health and wellness apps, only 20 have been FDA cleared as Digital Therapeutics. Here an app, there an app, everywhere a wellness…
Out of 350,000 health and wellness apps, only 20 have been FDA cleared as Digital Therapeutics. Here an app, there an app, everywhere a wellness…
Liked by Yan Fossat
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This might not be popular but: using #AI will make you think less. Same as when phonebooks became digitized (and nowadays you cannot remember your…
This might not be popular but: using #AI will make you think less. Same as when phonebooks became digitized (and nowadays you cannot remember your…
Liked by Yan Fossat
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