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.

The future is now

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Payers use AI to make members healthier

by Susan Morse

Insurers are using artificial intelligence and machine learning to review medical records, optimize care for chronic conditions, identify risk.

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AI application can predict cellular DNA repair

by Mike Miliard

The machine learning algorithm, which can anticipate how cells respond CRISPR-induced breaks, could help researchers repair gene mutations.

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Making a business case for AI investment

by Mike Miliard

IT leaders should show the value of specific AI use cases, while also ensuring the C-suite understands the potentially slow or hard-to-define ROI.

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Mount Sinai finds deep learning algorithms inconsistent based on data set

by Tom Sullivan

The team used convolutional neural networks on its own chest X-rays as well as imaging from NIH and Indiana University and said they did not perform equally.

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The internet of nursing things

by Rosy Matheson
If you think the digitisation of nursing is just about nurses filling out scores on a mobile device,
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Successful bids for £50m UK AI digital pathology and imaging network announced

by Leontina Postelnicu
Five new AI centres will be created in London, Leeds, Oxford, Coventry and Glasgow.
 
 
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AI algorithms show promise for colonoscopy screenings

by Mike Miliard

A Chinese company, working with researchers in Sichuan and Boston, says its algorithm – similar to that enabling self-driving vehicles – could be a second set of eyes for polyp detection.

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Sorting through the confusing terminology of AI

by Mike Miliard

AI, machine learning, cognitive computing, neural networks? Supervised, unsupervised, semi-supervised? Object recognition, natural language processing? What does it all mean?

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AI triage chatbots trekking toward a standard of care despite criticism

by Laura Lovett

Savvy hospitals like Boston Children’s and NHS facilities are working with chatbot startups to create new ways to interface with patients seeking care.

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Radiology beyond the machine

by Mélisande Rouger

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.

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AI: 3 charts on what healthcare has planned for the future

by Tom Sullivan

AI is already having a big impact, but strategic planning is not keeping pace and healthcare organizations need to be proactive about developing tools now.

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Why 2018 is the year of voice tech in healthcare

by Tom Sullivan

What IT shops and clinicians should expect in 2019: plenty of tech failures.

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AI-powered perinatal monitoring system cuts newborn intensive care admission at Baylor

by Bill Siwicki

Fighting the United States' abysmal maternal and fetal mortality problems, Baylor College of Medicine is applying artificial intelligence to aid physicians at key moments.

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AI tool predicts heart disease risk more accurately than experts

by Leontina Postelnicu

The machine learning model uses 600 variables with patient's data whereas human-constructed models made predictions based on 27, researchers say.

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Flagler Hospital uses AI to create clinical pathways that enhance care and slash costs

by Bill Siwicki

A pneumonia pathway saved $1,356 per patient, lowered length of stay by two days and significantly reduced readmission rates.

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Where hospitals plan big AI deployments: diagnostic imaging

by Bernie Monegain

Interest in AI is on the rise among radiology units, and a new study says the tech could transform imaging accuracy, productivity and increasing patient volumes.

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What hospitals need for successful AI: a digital base

by Mike Miliard

Artificial intelligence depends on several different fundamental technologies, and a robust and modernized infrastructure – cloud, mobile and web – to build upon is a must-have first step.

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How one medical group uses AI to improve value-based care

by Bill Siwicki

Efficiencies gained have allowed the Hill Physicians Medical Group to increase the number of patient charts collected for risk adjustment efforts by more than 200 percent.

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NLP evolving for pop health and precision medicine

by Mike Miliard

New clinical and operational use cases are emerging for natural language processing, from risk adjustment to population surveillance and beyond.

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Deep trust issues remain with AI despite wider use

by Mike Miliard

A new Intel survey shows that health systems expect artificial intelligence to improve care delivery, but worry that patients and physicians are nervous about the technology.

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Another AI task: hardware maintenance

by Mike Miliard

New technologies can be used to proactively detect malfunctioning equipment and enable faster repair.

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AI diagnostic tool plows through FDA clearance

by Dave Muoio

Studies supported the groundbreaking IDx artificial intelligence tool, which can detect diabetic retinopathy with medical imaging – but the investigation of its validity wasn't above critique.

Government & Policy

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AMIA to Trump: Stay the course on AI investment

by Mike Miliard

The government should build on existing artificial intelligence R&D plans, instead of starting over from scratch, the health informatics group said.

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FDA chief sees big things for AI in healthcare

by Mike Miliard

Scott Gottlieb, MD, is bullish on the opportunities artificial intelligence could bring to EHRs, decision support and more.

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AI research needs more funding at NIH, NIST, others, says House report

by Mike Miliard
In a bipartisan new report on artificial intelligence, Rep. Will Hurd, R-Texas, chair of the House O

HIMSS Learning Center

Upcoming Webinars / Webinar

How a Tiny Community Hospital Deployed AI to Reduce Costs and Enhance Patient Outcomes

by Ayasdi

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.

Upcoming Webinars / Webinar

HIMSS Media Insights on Technology Disruption in Healthcare

by Oracle

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.

Upcoming Webinars / Webinar

Leveraging Open Source to Advance Clinical Decision Support

by HIMSS Learning Center
Join our webinar to take a deep dive into the research and solutions that healthcare organizations a

Thought leaders talk to HIMSS TV

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Leadership, clinical engagement key to digitizing healthcare in Turkey

by HIMSS TV

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).

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Precision medicine deployed through healthcare supply chain

by HIMSS TV

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.

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Stage 7 EMRAM hospital’s winning EMR strategy

by HIMSS TV

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.

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AI, precision medicine need workforce development to grow

by HIMSS TV

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.

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Using AI to cut readmissions

by HIMSS TV

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. 

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Critical components for implementing AI

by HIMSS TV

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.

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AI, big data are valuable assets to physicians

by HIMSS TV

John Halamka, CIO of Beth Israel Deaconess Medical Center, and Paul Cerrato, Contributing Writer, Medscape, Medpage Today, discuss how AI and big data can help make personalized medicine a reality.

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Creating 'medical intelligence': Getting clinicians involved in healthcare's AI transformation

by HIMSS TV

Anthony Chang, MD, at CHOC, explains how machine learning will "augment the intelligence of the clinician."

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Voice assistants are pushing AI beyond old barriers

by HIMSS TV

Ben Schilens from Orbita discusses the opportunity developers have to improve patient engagement.

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Distinguishing AI from machine learning

by Eric Bailey

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.

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AI integration into workflows minimizes tools to ease doctor burden

by HIMSS TV

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.

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AI works to close brain-behavior gap with healthy eating app

by HIMSS TV

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.

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It's time for data to translate into better outcomes for patients

by HIMSS TV

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.

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Understanding cognitive services and how they can help healthcare

by HIMSS TV

John Barto, healthcare evangelist at Microsoft, outlines the early wins systems are seeing by incorporating cognitive computing platforms into their IT stacks.

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Understanding how AI can advance precision medicine

by HIMSS TV

Keith Bigelow, general manager of analytics for GE Healthcare, says you need great data science, a clinical lens and the ability to seamlessly integrate AI tools into workflows.

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Data is everybody's business, but where do you find the right data?

by HIMSS TV

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.