Artificial intelligence

AI is revealing new insights and efficiencies in healthcare.

How well-trained, mature AI solutions can earn trust

Written by Arun Krishnan | Analytics, Artificial intelligence, Imaging

As AI solutions saturate the imaging market, healthcare providers are asking: which ones can we trust? To earn the trust of users, AI solutions should be both well-trained and mature. more

Value-based healthcare, a 2020 outlook

Written by Paul Roma | Artificial intelligence, Blockchain, Life Sciences

The IBM Institute for Business Value (IBV) and IBM Watson Health recently conducted a study of healthcare payers and providers to determine what is needed to transition to an inclusive, value-based health system – integrating technology to accelerate progress and moving healthcare outside the clinic. more

A smarter fight against fraud

Written by Watson Health | Artificial intelligence, Data, Government

This article defines the issue with fraud, waste & abuse, and highlights one of the key algorithms that workers use to decrease wasted funding in government health spending. more

Program integrity’s changing workforce sparks new approaches to policy knowledge

Written by Mark Gillespie | Artificial intelligence, Data, Government

As retirements increase, state agencies apply technology to enable fraud, waste and abuse investigators to spend less time on manual policy research more

Examining health disparities in precision medicine

Written by Irene Dankwa-Mullan, MD, MPH | Artificial intelligence, Data

There should be diversity in voices and experience that come to the table to promote fairness and minimize bias for the future of precision medicine and healthcare. more

The epidemic of physician burnout

Written by Carrie DeVries | Artificial intelligence, Imaging, Provider

The startling rise of physician burnout rates across the healthcare industry has alarmed many experts who are concerned about the consequences for patients, physicians and organizations alike. more

Streamline your medical imaging operations

Written by Watson Health | Artificial intelligence, Imaging, Provider

Connecting with referrers and payers often involves a large amount of time and energy to deal with faxes, phone calls and paperwork to confirm clinical data or secure preauthorizations — all in an effort to head off claim denials. more

Image shuffling method for reading mammograms may help improve radiologists’ accuracy and speed

Written by Watson Health | Artificial intelligence, Imaging

There is a way of viewing mammograms that may help radiologists see the differences they might otherwise not easily see: a method known as image shuffling. more

No predictions needed

Written by Watson Health | Artificial intelligence, Oncology & Genomics

Experts have predicted that solutions featuring artificial intelligence would help oncology professionals in advancing research, improving clinical outcomes, and optimizing their operational processes more

When health data is under threat

Written by Kathleen Schroeder | Artificial intelligence, Data, Imaging

Healthcare organizations are more vulnerable to cyberattacks than ever due to factors, including lack of full-time IT security experts and legacy systems. more

How a functional algorithm can create better healthcare transparency

Written by Watson Health | Artificial intelligence, Health plan

Think about some of the biggest challenges your health plan faces when it tries to connect inpatient, outpatient and prescription drug data. Trying to connect these cost drivers proves difficult. more

How to drive smarter benefits programs

Written by Watson Health | Artificial intelligence, Employer

Human resource (HR) professionals are often tasked with finding out how to deliver smarter benefits programs. more