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.
Latest
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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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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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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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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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Implementing an Adverse Reaction Reporting Project Utilising the Innovative FHIR Standard
By Dr David Hay – Product Strategist
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A Look at Canadian EHR Implementations
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The Value of Semantic Interoperability for Healthcare
By Michael Hosking, Clinical Product Specialist
The unambiguous exchange and reuse of clinical knowledge
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Enabling the Ecosystem with FHIR
By Dr. David Hay
How can healthcare information be made available where and when it is needed?