Leading industry organizations including HIMSS, CHIME, HFMA, Intel, Gartner, and AHIMA, have recognized our contributions to the healthcare community through multiple accolades, speaking opportunities, and leadership appointments.
You can download some of our thought leadership here. And if you are looking for a speaker for your next event, please reach out to Allison Kavanagh here.
Synopsis: Navigating the predictive analytics world within healthcare is tricky and downright confusing. Every provider looking to adopt a predictive analytic solution needs to understand the fundamental differences between solutions, approaches, cost, and predictions.
The point: This list of foundational questions will help providers understand and compare the predictive analytic solutions available within the healthcare marketplace.Download
Synopsis: Predictive analytics is a fuzzy term. There are dozens of approaches all requiring different levels of investment and delivering different flavors of predictive insights.
The point: Advanced Machine Learning approaches deliver the most accurate predictions with the greatest possible return on investment and in the most scalable way.Download
Synopsis: The right predictive analytics solution can drive quality outcomes and ROI for healthcare providers. What predictive analytics means for healthcare providers.
The point: Key considerations and steps to selecting and implementing a predictive analytics solution for healthcare providers and the ROI of a clinical predictive analytics solution.Download
Synopsis: According to recent analyst reports, analytics are the building blocks for our healthcare system. Predictive analytics are a key component to the industry's future success.
The point: Predictive analytics are essential to meeting the challenges brought about by today's business drivers.Download
Synopsis: We asked the hospital community if and how they are using advanced predictive modeling to support their clinical and operational goals. This report is a summary of what we found out.
The point: Driven by the need to improve patient health, reduce waste, and prepare for at-risk models of care, hospitals are looking to advanced predictive solutions to enable better health and quality outcomes while taking advantage of value-based models of reimbursement.Download
Synopsis: Examines the gaps in the current U.S. healthcare mandate model and provides an approach to address fundamental flaws within the system.
The point: Current mandates shift the financial burden from payors to providers. We need a better solution that stops the root cause of waste, patient-level complications, before they happen.Download
Synopsis: Jvion's Ritesh Sharma discusses healthcare waste, big data, and predictive analytics with the Healthcare Insider.Download
Synopsis: Examines healthcare waste including current payer and government reactions to waste, the resulting impact for providers, and an approach that can address waste at the provider-level before a dollar is lost.
The point: The best way to stop waste is to make sure that it doesn't happen in the first place using predictive technologies and emerging machine learning capabilities.Download