Is Blockchain the Answer to Healthcare’s Big Data Problems? By Health IT Analytics
A blockchain approach to big data may solve the healthcare industry’s issues with security, interoperability, and care coordination, according to the article. Blockchain provides the validation that the healthcare industry needs: No single entity is in charge of holding the data, yet all participants are responsible for ensuring data integrity and security.
Top 4 Basics to Know about Semantic Computing in Healthcare by Health IT Analytics
While traditional relational databases can help uncover important insights, semantic computing can help providers go above and beyond the basics of population health management or responsive, point-of-care clinical decision support. It can also change the way clinicians approach patient care by making connections between genes, drugs, treatments, and previous experiments.
Using the ever-increasing capacities of Big Data, scientists are aiming to change the way we understand the human universe. The Kavli HUMAN Project intends to generate a truly comprehensive longitudinal dataset that captures nearly all aspects of a representative human population’s biology, behavior, and environment.
While privacy and regulation will slow the pace of adoption, AI will bring some profound changes to healthcare. The aim is for AI systems to do what doctors can’t always: keep up on every detail of every patient’s visit to every specialist or hospital, as well as each pertinent new piece of research, disease outbreak, and public health recommendation.
Health leaders, legislators and technology innovators discussed the growing role that data analytics and precision medicine play in healthcare, cancer diagnosis and treatment and the implications going forward at an industry event in Washington, D.C.