PICTURE: Adult Rehabilitation


PICTURE is a suite of machine learning algorithms that utilizes electronic health record (EHR) data to predict patient deterioration in hospital settings. PICTURE Adult Rehabilitation is modeled specifically for an inpatient rehabilitation unit.

Value Proposition

For patients undergoing inpatient rehabilitation, readmission to the acute care hospital can result in a prolonged length of stay, adverse functional outcomes, additional testing and, ultimately, higher healthcare expenditure. The PICTURE Adult Rehabilitation analytic accurately predicts the likelihood that one of these patients might require an acute care transfer, enabling staff and clinicians to provide better care more efficiently.

About PICTURE

PICTURE is a suite of machine learning algorithms utilizing electronic health record (EHR) data to passively and accurately predict patient deterioration. Each PICTURE analytic also provides explanations for every single prediction, adding transparency to the model and how it calculated its output. This transparency is invaluable to clinicians who can use these explanations to guide decisions around patient care.

Competitive Advantage

  • Identifies a patient’s risk of deterioration beyond easily observable symptoms - particularly useful when the rehabilitation team is focused on recovery over acute care treatment

  • Predicts deterioration an average of 30 hours in advance of the event, giving clinicians time to act

  • Helps hospitals maintain a high level of patient care and distribute tightly-stretched resources efficiently

Unique Features

  • Provides an explanation of the main factors contributing to its prediction in each instance

  • Uses data that is collected during routine medical care such as common lab values

  • Will not disrupt clinician workflows or practices, even if policy changes alter routine tests

  • Defined thresholds allow the Rehabilitation unit to specify their desired precision

  • Designed to model patient’s physiology as opposed to clinician behavior, ensuring the alarms provide novel information to care providers

Principal Investigators
Sardar Ansari, PhD
Kevin Ward, MD

Licensing Manager
Drew Bennett

Intellectual Property
Invention Disclosure # 2019-094, 2021-244, 2021-245, 2021-250, 2021-251
Patent Application Submitted

Solution Sheet
Download Solution Sheet (PDF)

MARKET OPPORTUNITY
In 2013, there were 3.9 million acute care readmissions within 30 days for patients discharged from acute inpatient rehabilitation hospitals, resulting in an estimated $50 billion in additional hospital costs.
A pilot program for PICTURE Adult Rehabilitation provided useful insight and immediate benefits for the rehabilitation center, bringing the readmission rate from 15% down to 11% (on par with the national average).

Please contact the Licensing Manager, Drew Bennett, for more information.

Funding History

Substantial additional departmental, school and center based support

Completed Milestones:

  • Data capture

  • Model testing and training

  • Pilot study

Next Steps:

  • Seeking partner rehabilitation clinic for external validation of the PICTURE Adult Rehabilitation analytic

  • Analytic updates and improvements