Stanson Health
About
Stanson Health's Mission
To measurably improve the quality and safety of patient care while reducing the cost of care by enabling context-specific information integrated into the provider workflow.
Stanson Health, powered by PINC AI™, products are designed to reduce low-value and unnecessary care. We leverage real-time alerts and relevant analytics to guide and influence physician’s decisions. When coupled with clinical content focused on safe cost reduction (“don’t do” content), we can deliver the most effective cost reducing Clinical Decision Support (CDS) available on the market today.
Transition to Risk-Based Payment Requires a Greater Focus on Reducing Costs
As the healthcare landscape evolves, organizations must find ways to reduce costs – without sacrificing quality of care – to remain competitive.
More than 90 percent of U.S. healthcare costs are the result of providers’ decisions¹.
With this in mind, Stanson Health, powered by PINC AI™, assists organizations in preparing for global or shared risk by targeting the significant opportunity to reduce costs by providing physicians clinical decision support aimed at reducing or eliminating unnecessary care.
Effective Decision Support Requires Engagement at the Point of Care
Studies show that physicians are enthusiastic about reducing unnecessary care and overwhelmingly endorse the use of clinical guidelines. The key is to deliver the right decision support at the right time: at the point of care. Decision support, which is seamlessly and automatically integrated into the provider workflow, is 112 times more likely to have an impact².
1. Information regarding covered lives, per member per month rates and HCC multiplier data submitted by Community Health Network. Data calculated from PINC AI Clinical Intelligence for 2020 includes January 1, 2020 – December 31, 2021 and data for 2021 includes January 1, 2021 – December 31, 2021. HCC coding alerts that resulted in a code being placed were used to determine the estimated financial impact of the HCC alerts.
2. Source: Kawamoto K, Houlihan CA, Balas EA, Lobach DF. Improving clinical practice using clinical decision support systems: a systematic review of trials to identify features critical to success. BMJ. 2005 Apr 2;330(74794):765 . PMID: 15767266
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