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.
News on evolving AI’s role:
PathAI, a global provider of AI-powered technology leveraged ML Models Based on Human Interpretable Features (HIFs) Predict Clinically-Relevant Molecular Phenotypes Across Cancers
PathAI developed a machine learning (ML) model-based pipeline to predict tumor molecular phenotypes from hematoxylin and eosin (H&E) stained biopsies across 5 different tumor types.
Last Year in December, Zebra Medical Vision Secured FDA Clearance for Its Patented Breakthrough in Orthopedic Surgery Planning leveraging AI
Company’s AI solution around Medical imaging extracts exact 3D bone reconstruction from X-ray scans at the same quality as a CT scan, enabling the use of standard X-rays for surgery planning
Bigfoot Biomedical lands FDA clearance for its Bigfoot Unity™ Diabetes Management System which is a first of its kind Dose Decision Support System
Bigfoot Biomedical is a new kind of medical device company developing technologies to significantly reduce the cognitive, emotional, and financial burden of insulin-requiring diabetes. With an intense focus on ease of use, Bigfoot will optimize the dosing and delivery of insulin through an integrated medical device ecosystem powered by machine learning and enhanced by secure, user-friendly consumer technologies, fundamentally changing the paradigm of care.
At its heart is the Abbott’s FreeStyle Libre 2 sensor that provides the Bigfoot Unity System with hypoglycemia alerts in real time.
Majority of healthcare decision-makers prioritize virtual care delivery, says Philips report
A whopping 89% of U.S. healthcare leaders say they're currently heavily investing in telehealth, though many expect to shift gears toward artificial intelligence in the future.
More Positive News on Current Pandemic
A Pfizer Pill to Treat COVID-19 Could Be Available by the End of 2021
Twitter donates USD 15 mn for COVID-19 relief in India
DCGI approves anti covid drug developed by DRDO for emergency use
DRDO develops AI based software to detect COVID in chest X-rays
DRDO has developed an artificial intelligence based intelligent software that helps in Covid detection. The software, named ATMAN, uses Chest X-rays and classifies those into normal, Covid19, pneumonia classes with the help of sample images that are limited in number (a few hundreds).
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