machine learning
Medical chatbots are emerging as potential assistants in many areas of healthcare. Can an AI-fuelled robot help improve patient engagement in cancer care?
Partners HealthCare Pivot Labs is enabling collaboration between hospitals, health systems and other stakeholders such as big tech and pharma, says digital health scientist Dr. Sujay Kakarmath.
Westchester Medical Center integrated data from the EHR using a machine learning algorithm to connect patients to the right sources of care, says Director of Data Management & Analytics Simer Sodhi.
Infolytx's natural language processing technology is helping with clinical trial cohorts, explains CEO Badrul Husain.
Tej Anand, professor of practice at the University of Texas' McCombs School of Business, explains how blockchain can help eliminate "redundant work, rework and reconciliation."
Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem, says the challenge is in the cultural maturity for people to realize what the data can do for them.
Duke University Health System Chief Analytics Officer Stephen Blackwelder discusses what’s the next frontier of analytics.
Rob Wellen, regional vice president at KenSci, says one of the most common data analytics questions from providers is how to operationalize machine learning and artificial intelligence.
Providence St. Joseph Health’s chief medical analytics officer is both a physician and a data scientist so understands clinical context as well as data structure, says CCO Amy Compton-Phillips.
Advocate Aurora Health Chief Health Information Officer Tina Esposito explains how her organization is using predictive analytics to identify high-risk patients.