Why HCOs Need a Portfolio Management Approach to AI
No one AI technology will address everything and solve all problems, so systems should prioritize those that promise the greatest value and ROI.
Side Effects are Limiting GLP-1 Drug Efficacy: How Can Personalization Offer a Solution?
By integrating digitization and machine learning, there is an opportunity to deliver personalized care to all patients and scale precision dosing with minimal physician involvement, maximizing the effectiveness and accessibility of these drugs.
Reducing Clinical and Staff Burnout with AI Automation
As technology advances, AI-powered tools will increasingly reduce the administrative burdens on healthcare providers.
To Advance Health Equity, We Must Stop Shaming Fax
The disdain for fax in all its forms isn’t new. But at a time when small healthcare organizations struggle to afford an EHR, the question remains: Who are the digital haves to judge the digital have-nots?
GenAI is a Goal but Not the Destination in Healthcare
GenAI will help healthcare reach its destination of efficiency and superior outcomes, but we can’t lose sight of the need for human touch, quality interactions and data to navigate us forward.
“Robotic-based” Home Care is Actually More … Human
Is it possible to be pro-human and pro-tech at the same time when it comes to our healthcare?
Transforming Denials Management: Insights and Best Practices for Your Organization
Focusing on these areas can help healthcare organizations reduce the incidence of denials, optimize revenue cycle performance and enhance overall patient satisfaction.
The Funding Model for Cancer Innovation is Broken — We Can Fix It
Closing cancer health equity gaps require medical breakthroughs made possible by new funding approaches.
Breaking Silos: The Power of Collaboration in Minimizing Denials for Better Revenue Cycle Performance
The combination of technology and cross-functional collaboration allows providers to address denials and achieve optimal revenue performance.
Tech-Enabled Biology: Pioneering a New Era in Biotechnology
The new era of full-stack compute-enabled bio companies will drive incredible advances in human health.
AI-Generated Drug Candidates Are Here, But Clinical Trial Wins Need More Time
Despite artificial intelligence’s growing role in drug research, a fully AI-generated molecule has yet to advance from discovery all the way through clinical development. A novel molecule may eventually meet that goal, but some industry observers say it’s too early to focus on winning a race that has many twists and turns yet to come.
5 Ways NLP AI Technology is Driving Value for Providers Today
Don’t bet so big on AI solutions with “someday potential” that you ignore tools that can solve challenges and generate ROI now. Here are five critical AI investments that provide “right now” value for health systems, clinicians and patients.
Health Executives on Digital Transformation in Healthcare
Hear executives from Quantum Health, Surescripts, EY, Clinical Architecture and Personify Health share their views on digital transformation in healthcare.
4 Ways Biopharma Is Applying AI/ML to Improve Drug Development Outcomes
Biopharma companies are harnessing AI tools for multiple aspects of drug development such as identifying drug development targets, modeling a drug's effect on the body, and more.
How AI Can Alleviate Clinician Burnout, Per a GE HealthCare Exec
Many experts think technology will help mitigate healthcare's burnout crisis and workforce shortage, but the healthcare industry still has a lot to figure out when it comes to choosing which tools to deploy and getting its workers on board with these new tools, according to a new report from GE HealthCare.
Edge Impulse’s Edge ML Series: Explore How to Deploy Advanced Edge ML at Scale
Invite-only, in-person event series for industry leaders like you. Join us to uncover product and ML innovation with our guests and speakers.
Behavior Hacking, Prevention, and Wellness: Why the Future of Healthcare Still Depends on People
No matter how much data the AI has on you, missing is the personal relationship. Emerging tech, wearables—all that is great. But at the end of the day, so much of it still depends on interpersonal relationship building and leveraging, adding an intelligence layer to the loop.
Can We Build a Trustworthy ‘AI’ While Models-As-A-Service (Maas) Is Projected To Take Over?
Model building is now simplified more than ever because of automation and tool intelligence achieved in model building. With a surplus of MLOps tools, users of all sizes and backgrounds are now focusing on model manufacturing. But the question remains - are all models usable?