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.
Healthcare is rapidly growing and evolving to become a data science, using data to make decisions and guide clinical care at every opportunity.
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?
Efficiently enabling clinicians to provide the right care, to the right patient, at the right time and in the right place
We welcomed more than 50 customers and partners to our annual UK & Ireland Customer Conference. A huge variety of topics were covered over the two days, including precision driven health, virtual care, medicines management and analytics to name a few.
This white paper outlines some of the key technology and clinical system approaches that health systems could consider in helping to combat the pandemic.
Improving Healthcare Outcomes and Containing Costs with Machine Learning and Virtual Care
Find out about the rapidly developing Medicines Platform, making it possible for the first time for relevant health and care professionals to see all medication information for a patient in one place.
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.
The healthcare system is undergoing a transformation to a value-based funding model, which has concrete benefits for all stakeholders, including providers and patients.