A 2020 Outlook On Predictive Analytics and AI In Health
Thu, January 27, 2022

A 2020 Outlook On Predictive Analytics and AI In Health

Predictive analytics and AI will revolutionize healthcare in 2020 / Photo Credit: Zapp2Photo (via Shutterstock)


Predictive analytics, AI, machine learning, and the like will reshape the delivery and business of healthcare in 2020, according to health IT experts from digital health company GetWellNetwork, as reported by Bill Siwicki of health and technology news platform Healthcare IT News. In 2020, predictive guidance will improve patient workflows, enabling clinicians to deliver the right modality of treatment, adjust treatment recommendations as needed, and triage patients to the right location, said chief technology at GetWellNetwork Robin Cavanaugh. He added that predictive analytics will guide patient care by offering additional healthcare services that similar patients have undertaken. This enhances treatment protocols with healthy suggestions while curating information resources that may be useful after treatment.

The healthcare sector has treated patients as a cohort for years, Cavanaugh noted. With advancements in AI and machine learning, more healthcare provider organizations will start to analyze data at a personal level, allowing them to focus on the person themselves and their unique needs, “rather than the larger cohort.” Cavanaugh explained that AI will help clinicians predict the next best course of action for a patient’s specific journey by evaluating social and demographic data. Therefore, harnessing data and AI will improve quality of care and patient engagement, he said.

Speaking of which, an interesting AI paradox will become more pervasive this year, stated Anthony Brooke, vice president of strategy at GetWellNetwork. He said consumers have embraced AI-powered technologies like smartphones, watches, etc.  At the same time, they have also come across “headlines about abuse of perceived private data” and AI-enabled facial recognition applications, harboring extreme fear on AI and its potential power. On the bright side, AI and machine learning technologies will continue to evolve, streamlining processes in healthcare, making patient touchpoints more personalized and accessible, improving workflows, and making administrative tasks less taxing.

Cavanaugh stated that we will get to see more healthcare organizations optimize their day-to-day operations through “voice-controlled and patient-facing healthcare applications, remote patient monitoring solutions, and tools that provide a deeper, more real-time sentiment analysis.”