AI and machine learning: What cuts hype from reality?
Focus on Artificial Intelligence
AI and machine learning: What cuts hype from reality?
Artificial intelligence and machine learning are set to transform healthcare. From front line care delivery, including triage, clinical decision support and patient experience to back-office operations, such as billing and revenue cycle, algorithms and emerging technologies are already proving their value. And that will only change in the months and years ahead as more startups get funded, proofs-of-concept demonstrate success and pilot programs take flight into production environments.
We at HIMSS Media in November will delve into the ways AI and machine learning have already taken root in healthcare, we’ll interview experts about what’s coming next and examine the promise and threats of AI.
In this podcast, we speak with Harvard professor and Cyft CEO Len D'Avolio about the wide gap between artificial intelligence in real-world healthcare, and how it's often depicted in sci-fi illustrations.
Artificial intelligence (AI) is increasingly permeating medical imaging, but its integration into clinical practice will depend on the capacity of AI technology to facilitate workflow. How far has radiology advanced on this path? Insights asked a leading expert to find out.
Flagler Hospital is a 335-bed hospital in St. Augustine, Florida. They don’t have a single data scientist on staff. Nonetheless, they have orchestrated one of the most successful deployments of artificial intelligence in healthcare - delivering cost savings of more than 30%, reducing the length of stay by days and reducing readmissions by a factor of more than 7X.
Janet King and Leonard D’Avolio, Assistant Professor at Brigham and Women’s and Harvard Medical School, will convene to discuss the results of a recent HIMSS Media survey, which polled healthcare providers on their outlook for the future of healthcare IT, with a focus on disruptive technologies.
HIMSS Analytics Regional Director for Europe and Latin America John Rayner details Turkey’s progress in digitizing public hospitals as more than 160 organizations are recognized at Stage 6 of the Electronic Medical Record Adoption Model (EMRAM).
Anne Snowdon, Professor of Strategy and Entrepreneurship at the University of Windsor, discusses the development of supply chain maturity model H-SIMM and how healthcare supply chains help achieve the most desirable outcomes for patients and clinicians.
Jane Miller, COO of Royal Children's Hospital in Melbourne, Australia, shares that her organization, which reached the elite stage 7 EMRAM, treated EMR implementation as a clinical transformation project, not an IT project.
Sam Hanna, Associate Dean of Graduate and Professional Studies and Program Director in Healthcare Management at American University, talks about the ideal skill set needed to use data and technology to create targeted therapies.
Robin Frady, executive director, B&CI Information Services at Grady Health System, talks about her organization’s success with using AI and data to target at-risk patients with post-discharge EMS outreach.
Douglas Reding, Chief Medical Officer for Ascension Wisconsin and practicing oncologist, talks about Ascension's journey with its precision medicine task force, the need for AI support and the future of AI and machine learning.
Zeeshan Syed, Director of the Clinical Inference and Algorithms Program at Stanford Healthcare, presents the differences between AI and machine learning and discusses current applications of each technology in healthcare.
Jennifer Esposito, general manager of Health and Life Sciences at Intel, explains how AI benefits workflows with its direct impact to be a seamless integration for physicians and the patient experience.
Kyra Bobinet, MD, founder the neuroscience-based design firm EngagedIN, is working with AI algorithms in Walmart’s First Tri app to build a brain taxonomy to identify behavior to help individuals understand what motivation changes their food habits.
Iomed Medical Solution CEO Javier de Oca is in the business of generating data specific databases for health systems and believes the time is now to see that data translate into better patient outcomes and sustainable systems for providers.
Prof Xiangliang Zhang, associate professor at King Abdullah University of Science and Technology, is working with biology data to understand the relationship between disease, genes and drugs to gain better insight to develop predictive models; and encouraging students into pursue careers in data science.
From artificial intelligence, analytics and cloud services to EHRs, revenue cycle and telemedicine tools, health technologies are changing. Fast. Our next-gen series dives into the front-runners, startups and stalwarts to share insights about what’s coming on the near horizon from the very experts shaping the future of healthcare.
HIMSS TV was on location at the Dev4Health Conference at the HIMSS Innovation Center in Cleveland in May for two days of presentations and workshops about developing healthcare applications that will move the industry forward. Expert speakers discussed the future of APIs, how voice recognition and AI are changing workflows and gave attendees a high-level look at many innovative projects happening in the developer community. Watch the full video archive below.