Analytics

Infolytx's natural language processing technology is helping with clinical trial cohorts as AI gains real traction across healthcare, explains CEO Badrul Husain.

The most promising use case for blockchain in healthcare is the elimination of "redundant work, rework and reconciliation," says Tej Anand, professor of practice at the University of Texas' McCombs School of Business.

Chad Konchak, assistant vice president of Clinical Analytics at NorthShore University HealthSystem, says the challenge is not so much in the technology development but in the cultural maturity for people to realize what the data can do for them.

KVC Health Systems CIO Lonnie Johnson describes the predictive modeling goals and first steps toward AI and machine learning of the multi-state provider of foster care and adoption services.

In healthcare, there is a need to improve the speed to an answer without affecting the quality of the answer, says Nigel Hughes, scientific director at Janssen Clinical Innovation.

Duke University Health System Chief Analytics Officer Stephen Blackwelder says interventions are the hardest part as disparate data has to be interwoven for behavior change if risk is to be mitigated.

The challenge for all countries is to make the data assets actionable, but trust is needed with any data sharing strategy, says Tom Foley, MD, senior clinical lead at NHS Digital.

Benjamin Jackson, head of customer success, North America, at BC Platforms, describes how his company is helping organizations pull out valuable insights from genomics and phenotypic data.

One of the most common data analytics questions from providers is how to operationalize machine learning and artificial intelligence, says Rob Wellen, regional vice president at KenSci.

FarmaTrust CEO Raja Sharif says blockchain ensures greater data integrity in areas such as AI, analytics and regulatory reporting, which can increase public confidence in the use of data.