Hypertension Detection & Treatment Algorithm

New algorithm uncovers hypertension for asymptomatic patients

  • Early diagnosis of previously undetected hypertension
  • Patient record analytics produces a diagnosis and treatment plan
  • Allows for more personalized patient care, higher precision

 
Licensing Manager:
Tyler Scherr, PhD tyler.scherr@unmc.edu or 402-889-5498
 

Description

New algorithm uncovers hypertension for asymptomatic patients

Limit use of jargon and academic style of back-loading important info. Use journalistic style, which emphasizes important information early in the piece. Suggested word count: 250-300.
 
A new process for identifying and treating hypertension can identify the deadly condition in patients years earlier than with traditional diagnostic tools.
 
This new process, developed with UNMC’s in-house supercomputer, analyzes various measurements and lab values and compares them to 2,000,000to 2,000,000 previous patients. During this comparison, numerous mathematical calculations determine the most probable outcome. The final calculation provides a suggested diagnosis and treatment plan for the physician.
 
This outcome, combined with the physician’s clinical acumen, allows for earlier treatment of hypertension and supports real-time symptom management. This means that patients can adjust their treatments more frequently than the typical once- or twice-per-year follow-up appointments, enabling more responsive and personalized care.
 
To discuss licensing opportunities contact Tyler Scherr, PhD, at tyler.scherr@unmc.edu or 402-889-5498.
 

More Info

Publications

  • Building an Artificial Intelligence Framework for Hypertension Diagnosis: A Use Case of the Problem List Curation, UNMC Digital Commons

In the news:

  • Duo teams to help simplify digitization of EHR, UNMC Today