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Current landscape and future trajectory for AI in healthcare

by Lauren Dubinsky, Senior Reporter | February 04, 2019
Artificial Intelligence Health IT
From the January/February 2019 issue of HealthCare Business News magazine


Illumeo PACS from Philips leverages adaptive intelligence
and analytics to automatically locates matching images. It
then positions them side-by-side so that the radiologist
can determine if the lesions got bigger over time.
In the year before the command center opened, OHSU declined more than 500 transfer patients from referring hospitals. But a year after it opened, the health system was able to accept 554 more transfer patients.

OHSU was also able to place 519 transfer patients into community partner hospitals, which freed up beds for patients who require the more complex, quaternary inpatient care that is only available at their academic health care center. To top it off, they also saw a seven-fold increase in return on investment in that first year.

“In order to accommodate various, growing demands on our system related to inpatient access and capacity management, we recognized the need to get reliable real-time data feeds and supporting alerts and to change how we run the daily operations in a more system mindset with a patient-centric approach,” Dr. James Heilman, chief medical transfer officer at OHSU, and Dr. Matthias Merkel, chief medical capacity officer at OHSU, wrote in an email response.

In September, GE announced plans to develop a software application for OHSU to better manage sepsis patient care. Sepsis is a major issue in the U.S. At least 1.7 million American adults develop sepsis and almost 270,000 of them die as a result of it, according to the Centers for Disease Control and Prevention.

The mission control staff will be alerted when the application detects a risk and care teams will be deployed as needed.

“Quick recognition and management of sepsis is critically important to increase the survivability and requires a system-level response,” wrote Heilman and Merkel. “Identifying patients and tracking their care progression along established sepsis care bundles seemed a logical expansion of the work we have done on daily operations.”

Another company that takes a health system-wide approach to AI is Palo Alto-based Ayasdi, which built an AI platform that their partners and customers can run applications on.

The company has developed a few applications of its own, including one called Clinical Variation Management (CVM), which analyzes hospital EMR and financial data and looks for clinical variation.

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