Latest
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The next-generation HIE powered by machine learning
The next-generation HIE presents relevant information in an intelligent and timely manner, has flexibility for emerging and non-traditional data types, organises data so that it is easy to access and use, and provides an innovative ecosystem for future developments.
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Removing Data Bias from AI and Machine Learning Tools in Healthcare
Healthcare is rapidly growing and evolving to become a data science, using data to make decisions and guide clinical care at every opportunity.
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Digital health’s next big transformation
Healthcare has a customer experience problem. What if technology could solve this, and ensure that individuals consistently receive the right care for them, at the right place and at the right time?
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The Importance of Social Determinants of Health in Determining the Right Clinical Interventions
The environment a person lives in, their socioeconomic status, lifestyle, wealth and cultural/ethnic background all affect that person's health status in far more significant ways than was previously understood.
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A path to advanced population health
Efficiently enabling clinicians to provide the right care, to the right patient, at the right time and in the right place
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How technology can help alleviate the COVID-19 crisis
A global pandemic on health systems
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Unlocking the power of Machine Learning in health
By Chris Hobson
Improving Healthcare Outcomes and Containing Costs with Machine Learning and Virtual Care
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A Look at Canadian EHR Implementations
Data from any connected healthcare entity, such as hospitals, clinics, doctors, pharmacies and laboratories, helps care teams provide more informed recommendations based on the longitudinal healthcare history of the patient.
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Orchestrate Healthcare at Scale
The healthcare system is undergoing a transformation to a value-based funding model, which has concrete benefits for all stakeholders, including providers and patients.