@ShahidNShah
Industry Voices - Why the COVID-19 pandemic was a watershed moment for machine learning
Machine learning (ML) - computer systems that learn and adapt autonomously by using algorithms and statistical models to analyze and draw inferences from patterns in data to inform and automate processes - has also played an important role, supporting practically every aspect of healthcare. Amazon Web Services has supported customers as they enable remote patient care, develop predictive surge planning to help manage inpatient/ICU bed capacity and tackle the unprecedented feat of developing a messenger ribonucleic acid (mRNA)-based COVID-19 vaccine in under a year.
Telehealth was on the rise before COVID-19, but it revealed its true potential during the pandemic. Telehealth is often viewed simply as patients and providers interacting online via video platforms but has proven capable of doing much more. Applying ML to telehealth provides a unique opportunity to innovate, scale and offer more personalized experiences for patients and ensure they have access to the resources and care they need, no matter where they're located.
Continue reading at fiercehealthcare.com
Make faster decisions with community advice
- Changed For The Better: A Shared Digital Communication Solution
- Digital front door chatbot improves the patient experience at Aspire Indiana Health
- Existing Technologies Paved the Way for Mass Vaccination Efforts
- Genome Medical scoops up telegenetic counseling platform GeneMatters, raises $60M in Series C
- How eDOT Technologies Help Improve Medication Adherence
Next Article
-
Is Zero Trust the Remedy to Healthcare’s Ransomware Epidemic?
There’s no sugarcoating it: healthcare has a serious ransomware problem. And it’s not a new problem for this sector. In fact, the first-ever such attack targeted the industry in 1989 when 20,000 …
Posted Sep 1, 2021 Cybersecurity and Privacy