NVIDIA expands AI radiology efforts with new software capabilities and partnerships
The company is hoping to boost the adoption of AI in medical imaging with new software development kits and deals with Ohio State University and the NIH.
Big data and big pharma giants join forces on cancer research effort
Merck and Palantir Technologies are forming a joint research venture called Syntropy as a way to offer data analytics tools to healthcare organizations.
With the Rise of AI, What IP Disputes in Healthcare Are Likely to Emerge?
Munck Wilson Mandala Partner Greg Howison shared his perspective on some of the legal ramifications around AI, IP, connected devices and the data they generate, in response to emailed questions.
Renalytix AI raises $29M through IPO for AI-based kidney disease diagnostics
The company's first product, a diagnostic aid known as KidneyIntelX is aiming to identify patients at risk for particularly fast progression of kidney disease.
Insights on big data from Optum Technology’s first Technical Fellow
In a Q&A, Optum Technology's Kerrie Holley discuses the potential of big data in healthcare, some of the barriers to adoption what can be done to win back the trust of patients.
A majority of Americans want big data out of insurance
A survey from LendEdu found 72 percent of respondents believe that insurance companies should not be allowed to use big data to determine risk for insurance policies.
In a small Georgia town, the cloud is helping doctors reimagine healthcare
CloudWave migrated critical healthcare applications to the cloud for stronger disaster recovery and integrated access.
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A Personalized Approach to Medication Nonadherence
At the Abarca Forward conference earlier this year, George Van Antwerp, managing director at Deloitte, discussed how social determinants of health and a personalized member experience can improve medication adherence and health outcomes.
What’s driving the big data revolution in healthcare — and what’s holding it back
Startup entrepreneurs opened up on a panel at the Health 2.0 conference in Santa Clara about the drivers and challenges of applying big data to healthcare.
Does big data hold the secret to controlling sepsis?
A big data, machine learning-based system could analyze the profiles of patients who have suffered from sepsis and build a profile that would show the specific data readings for each data point, alone and as they interact with other data points.
Don’t lock genomic data into silos
Healthcare leaders have an opportunity to build their infrastructure right this time – with foresight into how valuable genomic data will be to all their stakeholders, now and into the future.
In big data boost to healthcare research, CMS is releasing Medicare Advantage encounter data
Seema Verma, the head of the Centers for Medicare and Medicaid Services, said the agency is making Medicare Advantage encounter data available to researchers. She made the announcement this week at the Health Datapalooza conference this week.
Maximize Revenue and Patient Care with Strategic Weight Loss Management
We will highlight Build My Health's revenue practice management tools, which could help physician practices add up to $250,000 to their practices.
How consumer data (not more clinical data) will fix healthcare
Most people spend far less than 1 percent of their lives in a clinical setting, but the relative use of data and information technology in healthcare has failed to address this conundrum.
4 ways data will drive health transformation in 2018
As insurers, payers, providers, pharma and beyond work to get a handle on all of the data available, there will be four major shifts in the healthcare industry in the coming year.
Dr. John Halamka voices thoughts on precision medicine and the road ahead
In a phone interview, Dr. John Halamka, who recently co-authored a book on precision medicine, spoke about various aspects of the field and its future.
Health Catalyst unveils new data operating system
Through its data operating system, the Salt Lake City big data company is seeking to reimagine traditional data warehousing.
In healthcare, big data alone isn’t enough
Healthcare organizations have mastered the art of data collection. But in order to be forward-looking, they need to focus on how to turn their data into valuable information.