A longtime leader in healthcare improvement, we’re developing new ways to revolutionize the industry.
In a recent PINC AI™ webinar, Jim Sianis speaks about the types of health data used for research and patient care.
Artificial intelligence and clinical natural language processing is unlocking the unstructured data within clinician notes and pathology reports to support smarter healthcare.
The One-Stop Clinic™ experience is lessening diagnosis time from a national average of 26 days to less than 48 hours.
PINC AI™ Applied Sciences is committed to advancing health equity through real-world, data-driven research and solutions co-designed with health systems and life sciences partners.
Episode 55: Customer Experience in the Age of TikTok. While many people have heard the terms coinsurance and copayment, a small majority understand the...
PINC AI™ Applied Sciences, AstraZeneca and Clinithink win BWB Award for innovative use of technology-enabled healthcare solutions in Digital Medicine.
Episode 54: Moving the Needle in Cancer Care. Nothing in life can prepare a person for the moment a clinician says, “You have cancer.”...
Wall Street Journal | It will take years to repatriate the R&D assignments farmed out to the lowest-cost bidder.
The PHD provides a deeper set of insights into diseases allowing researchers to run stronger analyses and help to predict future trends and outbreaks.
Episode 53: Merging the quality and access gap in healthcare. Today, healthcare is at a pivotal inflection point for how we utilize patient data...
To improve healthcare outcomes, we must focus our efforts on reducing harm, driving clinical quality improvements, advancing health equity and reducing disparities for all.
Partnership will provide a better view of patient journey by connecting disparate datasets while preserving patient privacy to help improve quality and reduce costs.