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16 Results Found
Predicting the Patient: Using Analytics for Better Outcomes
In this conversation, Natalie Correll-Yoder, critical care clinical nurse specialist with NorthBay Health, and Nikki Rasmussen, senior clinical account manager with Spacelabs Healthcare, discuss one such predictive analytics tool, the Rothman Index, and how it made a huge impact for NorthBay Health's employees, and most importantly, its patients.
Data to Dollars: How to Use Predictive Analytics to Accelerate Marketing ROI
Marketing expert Jaci Haack from Virgin Pulse will explore pivotal health care marketing moments and reveal how to stay one step ahead of the competition by leveraging consumer-level predictive analytics to pinpoint the perfect patient audience for your services and how to engage them sooner and more often – using data to bring dollars to the CFO.
How Some Hospitals Are Grappling with the Workforce Shortage
In April, leaders at Sanford Health, a rural system in Fargo, North Dakota, began rolling out an augmented intelligence software tool the organization co-developed with the tech firm Flexwise Health to begin scheduling its 10,000-plus nurses more effectively.
Weigh In Social Factors Along with Clinical Conditions When Predicting Sepsis Risks
A new study indicates that social factors, when built into sepsis readmission models, can help predict which patients are at risk of an unplanned readmission within 30 days.
Using Customer Relationship Management and Predictive Modeling to Improve Population Health
Magazine & Journal Articles
As the health care field increasingly focuses on population health, hospital and health system marketers need to learn how to use their promotional skills in new ways to help their organizations achieve the objectives of this model of care. This article discusses the population health initiative of one health system and their customer relationships management (CRM) campaign.
CVS Health Looks to Microsoft to Help Build Out Personalized Care Strategy
A new partnership between CVS Health and Microsoft is designed to facilitate personalized service leveraging CVS’ massive data from its base of roughly 100 million customers and health plan enrollees.
Using AI & Automation to Drive Action: From Command Centers to the Front Line
In this webinar, discover how Saint Luke’s Health System has taken a new, cutting-edge approach using AI to automatically predict issues and orchestrate resolution — from the command center to the front line. By augmenting their EHR with new predictive capabilities, Saint Luke’s has streamlined care progression processes, improved load-balancing of capacity, and optimized post-acute placement across the system.
Study Finds New Commercial AI Devices Often Lack Key Performance Data
Enthusiasm for and adoption of commercial artificial intelligence (AI) tools to aid clinical decision-making and patient care have been accelerating at a rapid pace. A new study, though, cautions that critical information often is missing from the Food and Drug Administration (FDA) clearance process that could measure how these devices actually work in patient care.
Preparing For Behavioral Health’s Future
Providers will have to access consumer behavioral health data and have the ability to apply advanced analytics and artificial intelligence to enable preventive interventions, predict early onset of behavioral disorders, recommend interventions to improve behavioral health outcomes and tailor solutions for complex behavioral health conditions.
Predictive Modeling Could Create Better Sightlines to Forecast Finances
Predictive modeling has helped hospitals and health systems project clinical outcomes, enhance workflows and identify patient preferences, but this tool may also give leaders better intelligence to forecast finances amid this year’s economic uncertainties.