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. ...read 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. ...read 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. ...read 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 ...read 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. ...read 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. ...read 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. ...read 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. ...read 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 ...read 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. ...read 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. ...read 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. ...read more
