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Patient Forecaster Launches Emergency Medicine’s First AI-Powered Advanced Labor Management Platform

May 2, 2019

DENVER--(BUSINESS WIRE)--May 2, 2019--Patient Forecaster, an AI-powered advanced labor management platform, today announced the launch of its emergency medicine platform, a breakthrough technology that puts the predictability of scheduling work back in the hands of administrators of emergency departments and urgent care centers.

The new platform uses machine learning and predictive algorithms to analyze millions of data points every day across each individual location. In so doing, Patient Forecaster’s scheduling engine eliminates the frustrations that administrators normally face due to unforeseen fluctuations in hourly patient demand. The platform builds accurate schedule templates that can be used to take instant action via recommendations, automatic optimization and alerts.

Patient Forecaster combines the strength of historic internal patient visit data with the external data and tools to produce accurate hourly predicted patient demands with associated acuity levels, said Jeff Wadsworth, founder of Patient Forecaster. Its emergence in the market, he said, has replaced the disjointed or nonexistent systems with a cohesive and relevant advanced labor management process.

“While many workforce management systems have basic labor trackers, no one else is using AI to power this depth of accuracy in predicting patient demand by the hour,” Wadsworth said. “Only our advanced labor management system provides the highest level of accuracy that allows administrators to regain control of scheduling in areas such as patient-to-staff ratios, efficient labor planning and the ability to determine cost to provide based on patient demands.”

Free demonstrations of Patient Forecaster will be available at the Society for Academic Emergency Medicine (SAEM) annual meeting in Las Vegas, May 14-17, 2019. To schedule a demo, contact Nicole Daley, nicole@patientforecaster.com

About Patient Forecaster

Patient Forecaster is an AI-powered advanced labor management platform that delivers predicted patient demands and staff schedule recommendations up to 120 days in advance. The platform’s data aggregation capabilities provide for a cohesive view of predicted patient demands and acuity levels, allowing for the rapid and accurate creation of highly efficient schedule templates. By leveraging machine-learning and employing algorithms for smartly triggered alerts, emergency department and urgent care administrators use Patient Forecaster daily for understanding upcoming patient demands and to develop efficient scheduling templates for nurses, physicians and other advanced practice providers. Headquartered in Denver, the company serves hospitals and urgent care centers across the world.

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CONTACT: Media Contact:

Dan Wilinsky

dan.wilinsky@outlook.com

KEYWORD: UNITED STATES NORTH AMERICA COLORADO NEVADA

INDUSTRY KEYWORD: TECHNOLOGY DATA MANAGEMENT SOFTWARE PRACTICE MANAGEMENT HEALTH HOSPITALS PROFESSIONAL SERVICES HUMAN RESOURCES

SOURCE: Patient Forecaster

Copyright Business Wire 2019.

PUB: 05/02/2019 09:00 AM/DISC: 05/02/2019 09:01 AM

http://www.businesswire.com/news/home/20190502005038/en