Howdy!
Today we are covering more insights on some of the latest digital health news that are impacting healthcare. As we know digital health apps footprint is continuously enhancing, adoption of digital health apps are driven by drivers like –
● Improved Consumer engagements
● Access to healthcare data
● Lower costs
● Patient Safety
● Patient Outcomes
Be it Providers, Payers, PBMs, or Pharma, companies are all driven by these factors. Most of the companies are looking at new avenues of innovation leveraging Big data and AI adoption.
Today we are continuing to cover how companies across the ecosystem are leveraging AI to improve the digital health adoption.
As per market reports published by Marketsandmarkets.com -
The global AI in healthcare market size is expected to grow from USD 4.9 billion in 2020 and reach USD 45.2 billion by 2026; it is projected to grow at a CAGR of 44.9% during the forecast period
While Pharma companies are playing their cards on AI in drug discovery and vaccines development, due to obvious reasons, payers and PBMs are leveraging AI/ML to innovate in multiple areas of their businesses for example, leveraging AI to improve customer engagements, formulate better plan configurations, to predict plan performance, or to identify fraudulent claims.
Providers on the other hand are looking at number of use cases that can reduce the load on the ecosystem by simplifying the life of patients, doctors, nurses and healthcare administrator and will drive informed decision making.
For example, predicting the hospitalization need, cost of hospitalization, diagnosis rate, duration of treatment, disease severity, time required on therapy are some of the data that are leveraged to support informed decision making.
With the onset of precision medicine, companies like Microsoft leverages their AI platforms to enable an entirely new level of personalized treatment by looking at data, that makes us unique, from our genetics to our lifestyle.
Team HealthViva
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