Future-proofing AI

AI is accelerating, but is healthcare prepared for it?

There remains a lot of hype about artificial intelligence in healthcare – the potential is very much there, but the reality is the industry is a while away from AI algorithms transforming everyday care. One reason for this is that most hospitals are still on a journey of updating their tools and processes for the digital age. Pagers and fax machines remain a common fixture in even the most digitally mature healthcare organizations.

But that's all changing, and it's happening faster than you can say "Hey, Siri."

This special project looks at the areas where AI, machine learning and cognitive computing are already driving major gains, highlighting case studies, thought leadership and best practices that can help healthcare move AI beyond science fiction for good.

Essential reports and perspectives

News

Future-proofing AI: Healthcare is set to speed past machine learning

by Bill Siwicki

Hospitals are proving the merits of machine learning and cognitive computing, but deep learning and data dependence are key.

News

Case study shows how hospitals are already pushing AI to the limit

by Bill Siwicki

But what are limits today will soon become opportunities, as health systems sit on mounds of data ripe for integration into AI.

Leverage AI to revolutionize and advance healthcare

by Intel

We chat with Andy Bartley, health and life sciences solution architect, Intel Corporation.

Resources to rely on

News

Checklist: 9 steps to future-proof your AI program

by Bill Siwicki

With AI tech being so complex to implement, we've compiled some essential areas to focus on to prepare for this emerging technology.

The top 3 artificial intelligence challenges facing hospitals

by Intel

Seventy-seven percent of respondents ranked budget or financial challenges among their top three challenges related to AI.

HIMSS Analytics studies reveal 8 insights on future proofing healthcare

by Intel

Healthcare leaders address artificial intelligence, population health and precision medicine adoption.

Infographic

Future proofing: Infrastructure support built to leverage AI

by Intel

AI has the potential to significantly impact healthcare delivery and outcomes, yet most providers feel unprepared.

White Papers / Webinar

How AI/Cognitive Computing Fits into the Healthcare Picture

by

A recent HIMSS Analytics survey revealed that healthcare providers agree that artificial intelligence has the power to transform healthcare, but many don't know how to integrate AI into their organization.

Leading the way

News

An inside look: NewYork-Presbyterian's AI command center

by Bill Siwicki

Nurses in a faraway control room monitor patients and processes with artificial intelligence tools to reduce alert fatigue and free on-premise clinicians to spend more time with patients.

News

CMIO wants AI to be much more than a disruptive tech

by Jessica Davis

M*Modal’s Gilan El Saadawi is working on an AI-driven virtual assistant to better capture clinical documentation from conversational speech during patient-physician interactions.

News and features to help you prepare

News

How to make IoT data ready for AI

by Bill Siwicki

Hospitals should begin with appropriate infrastructure and that includes robust connectivity, storage and security. Here’s a look at how to get started.

News

Carolinas HealthCare becomes latest health system to tap into Amazon’s Alexa

by Bernie Monegain

Patients can use the voice assistant to locate nearest care center.

News

Philips, Nuance to apply AI to imaging workflows

by Mike Miliard

The two companies will offer radiologists access to various tools – for risk stratification, improved report structure, faster turnaround times – to help clinicans make better decisions about the next steps in the care process.

News

Google powers up AI, machine learning accelerator for healthcare

by Tom Sullivan

Launchpad Studio’s first class includes startups working to automate scribing with Google Glass, apply machine learning to help people who can no longer walk, pinpoint sepsis earlier and build a platform for wearables.

News

CIOs must manage data for AI to deliver on data-driven healthcare

by Bill Siwicki

Provider organizations must figure out ways to sift through mountains of data to let AI tools have at it. And AI experts have plenty of suggestions.
 

News

AI vs. COPD: Organizations bet on machine learning to improve lives

by Bill Siwicki

The COPD Foundation, Geisinger, GSK and Jvion join force avoid hospitalizations and prevent inpatient readmissions for patients with these chronic conditions.

News

Convincing C-suite to invest in AI: A new mode of ROI

by Tom Sullivan

While it is harder to convince the C-suite that investing in advanced analytics tools makes sense, key pillars in the ROI statement should make that clear.

News

Watson exec lays out 3 principles of AI: Purpose, transparency, skill

by Tom Sullivan

But don’t expect artificial intelligence to replace nurses or care managers in our lifetime.

News

EHRs are holding troves of genomic data, too bad it's not always easily usable

by Mike Miliard

In some cases, more data is needed to draw conclusions, and in others, the tech just isn’t there yet, John Quackenbush, a computational biologist at Harvard's Dana Farber Cancer Institute, says.