Utilize artificial intelligence to accurately forecast surgery duration times in minutes.
Increase revenue and decrease costs!
Cloud-based AI platform which learns from a wide range of healthcare data to yield more accurate surgery duration forecasts in minutes, without requiring the implementation of workflow changes, in addition to providing a marketplace for healthcare facilities to sell the resulting operating room vacancies to health insurance companies.
$6 million annual revenue growth
$5 million-$12 million annual cost savings
The average OR costs $1,200 per hour to operate. Less than half of surgeries in the U.S. start and end at their scheduled times. The overall price of the scheduling chaos? More than $30 billion per year.
With over 30% of US hospitals held back by negative operating margins, hospital administrators, staff, surgeons, and patients all bear the cost of inaccurate surgery duration forecasts.
Opollo™, our cloud-based artificial intelligence algorithm, accurately forecasted the durations of one year's worth of surgeries at a National Cancer Institute hospital. Opollo's more accurate duration forecasts could have saved this particular hospital about $10 million per year and generated $6 million in additional annual revenue growth.
"Better Forecasts. Better Ops."
More accurate duration forecasts result in $5 million-$12 million annual cost savings for healthcare facilities
The Opollo Exchange connects healthcare facilities with excess OR capacity to insurers seeking to dispatch more patients to efficient, high-quality, low-cost facilities.
Opollo™ provides its forecasts in the number of minutes a surgery will take. Simply use the Opollo™ forecast instead of the inaccurate moving average forecast.
Utilizes medical NLP to extract data to train an AI model
Our platform is designed to connect to existing systems without modification
Less time and work scheduling surgeries, improved staff satisfaction