Analytics

Colin Tan, associate professor of ophthalmology at Duke NUS Medical School, says that while AI can help with recognizing patterns and diagnosis, physicians still need to use clinical judgment and manage the patient as a person.

Machine learning can help organizations learn from data more quickly and intuitively, says Leonard D'Avolio, founder and CEO of Cyft.

Dr. Sujay Kakarmath, digital health scientist at Partners HealthCare Pivot Labs, says the organization is enabling collaboration between hospitals, health systems and other stakeholders such as big tech and pharma.

Kevin Shah, head of Enterprise New Business at Fujifilm Europe, explains how automating some processes can increase the chance of better outcomes for patients while reducing clinicians' workloads.

Simer Sodhi, director of data management & analytics at Westchester Medical Center, details how integrating data from the EHR using a machine learning algorithm connects patients to the right sources of care.

Badrul Husain, CEO of Infolytx, discusses how AI is gaining real traction across healthcare and the challenges ahead.

Blockchain can help eliminate "redundant work, rework and reconciliation," says Tej Anand, professor of practice at the University of Texas' McCombs School of Business.

The challenge is in the cultural maturity for people to realize what the data can do for them, says Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem.

Three ways Microsoft is reimagining healthcare are enabling personalized care, empowering care collaboration and coordination with clinicians, and improving outcomes, says Elena Bonfiglioli, regional business leader of Health and Life Sciences at EMEA at Microsoft.

Foster care and adoption services provider KVC Health Systems faces a number of challenges as it tries to meet its predictive modeling goals, says CIO Lonnie Johnson.