Increasing Case Volume and OR Utilization to Grow Revenue and Reduce Costs

PERIOPERATIVE



“For University Hospitals, it’s the story of people, process, and technology. Our governance structure created the strategies, our tactical teams executed, and Hospital IQ provided us with the tools to do it. Hospital IQ was the game-changer that gave us the ability to capture time that would’ve gone unused, and allowed our surgeons to see what was available at all ORs across the system.”

Dan Towarnicke
Vice President, Perioperative Services

5%

increase in OR utilization

20

day average lead time for released blocks

25+

cases performed each week in released time

Customer Overview

» 2,240 beds and 128 ORs across their network

» 150,000 surgeries annually

» 4,700 providers and 25,000 non-physician employees

» Private, not-for-profit academic health system

THEIR GOAL: ACHIEVING SYSTEMNESS

Achieve systemness across the health system to improve care quality and reduce inefficiencies by: 

Transitioning to a market-based operating model that focused on: 

» Providing optimal clinical service distribution; right services at the right access points
» Ensuring a hyperfocus on providing high-value care
» Transitioning from a hospital-based governance model to a regional model

Establishing a governance structure to set the strategy and drive change management to:

» Increase OR utilization by increasing volume or consolidation
» Increase transparency into the availability of the operating rooms
» Consolidate service lines and balance utilization across the system

OUR SOLUTION: AI-DRIVEN DIGITAL HEALTH PLATFORM

Partnering with Hospital IQ and leveraging digital health solutions transformed University Hospitals’ surgical operations by:

Providing AI-driven recommendations and OR schedule visibility to:

» Prompt blockholders to release time predicted to go unused
» Uncover hidden OR time and capture it for new procedures
» Automatically prioritize all requests for OR time to optimize utilization

Leveraging trusted data to drive governance strategies across the system which enabled them to:

» Establish surgical Centers of Excellence managed by service line leaders
» Decant low acuity cases from the main hospital to ASCs and community hospitals
» Create capacity for higher acuity cases at the main hospital, increasing the CMI from 3.38 to 3.53

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AI-Driven Hospital Staff Management System and Smart Patient Prioritization Reduces Patients’ Length of Stay and Decompress the Emergency Department

INPATIENT



“University Hospitals are engaged in a process of continuously improving the care we provide our patients. Hospital IQ has helped our units pull together as a team to see the full picture. They have given us the tools to successfully predict patient demand and to determine which changes will help us better serve our large and diverse community.”

Robyn Strosaker, MD
Vice President and Chief Medical Officer

University Hospitals achieved systemness

15%

reduction in length of stay

10%

decrease in ED boarding hours

50%

reduction in ED patients who left without being seen

Customer Overview

» 2,240 beds and 128 ORs across their network

» 114,000 inpatient and 565,000 ED admissions yearly

» 4,700 providers and 25,000 non-physician employees

» Private, not-for-profit academic health system

THEIR GOAL: OPTIMIZING PATIENT FLOW

Improve quality of care while reducing costs. For their ED and inpatient units, this meant:

Creating more efficient throughput, resulting in:

» Decreased length of stay across their inpatient units
» Reduction in ED boarding and Left Without Being Seen
» Increased overall patient care and satisfaction

Addressing the difficulty associated with anticipating demand so they could:

» Manage bed capacity-based changes in patient census
» Properly align staff to patient demand during times of high or low census
» Reduce nurse overtime and improve float pool allocation

OUR SOLUTION: DATA-DRIVEN HOSPITAL CAPACITY PLANNING

Hospital IQ’s Inpatient solution predicted capacity and staffing needs, creating:

The ability to proactively manage future patient census through:

» Decompressing the ED by opening or closing flex beds to match demand
» Diverting low-acuity patients to community hospitals
» Capacity allocation simulations, which show staff needed for various scenarios

Proactive capacity and staff management, resulting in:

» A 15% reduction in length of stay across their inpatient units
» A reduction in nurse overtime and improved float pool capacity
» Frequent deep cleaning of units, increasing staff satisfaction and patient safety

Download Case Study

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