Why utilization management
teams need clinical AI now

As demand on utilization management (UM) grows, health system leaders can support these teams with the same tool that helps optimize revenue cycle management — clinical AI. And, when applying an AI-first approach to UM, health systems create proactive processes where reactive reviews once stood.

Suddenly, the challenges below don’t just look manageable.
They look beatable.

Patient intake
Check
Chart review
Check
Vitals
Vital

Nursing shortages

Leave less time for high-value review

Create gaps in institutional utilization management knowledge

Make it difficult to keep up with growing demands

Nationwide, a shortage of 158,000 RNs means most hospitals are short  ~43 nurses.1 The current 8.6% nursing vacancy rate is considered elevated.1

Payers are tightening criteria and denials are evolving

To include more granular, diagnosis-related group (DRG)-specific regulations, driving more review work and contributing to increasing financial losses for health systems when patient care and services aren’t translated accurately.

$8.6B2

Amount of money spent per year on admin costs of claims denials nationwide.

10%1

of claims denials cost hospitals ~$5M2 per year.

90%1

of errors that trigger a denial are avoidable.2

As patient care gets more complex

UM teams must make increasingly nuanced decisions about medical necessity, level of care, and status accuracy.

Three in four3 people in the US have at least one chronic disease

Nearly half of them have at least two4

Over 10%4 manage multiple chronic conditions

UM processes are often manual AND Fragmented

Resulting in greater administrative burden, slower reviews, and less time for high-value clinical judgment.

8+ hours5

Median time needed for nurses to complete one prior authorization request

13 hours/week5

Additional time spent by physicians to manage prior authorization work

$34,0005

Annual cost per physician: $34,000 plus 700 hours wasted on administrative tasks

Change the status quo with

Teams using SmarterUtilization™ report meaningful gains in efficiency and confidence.

It’s time for technology that helps UM teams shine

As demand for utilization management (UM) grows, health system leaders can support these teams with the same tool that helps optimize revenue cycle management — clinical AI. And, when applying an AI-first approach to UM, health systems create proactive processes where reactive reviews once stood.

42%

less time spent on chart review

31%

reduction in cognitive burden from administrative tasks

43K+

clinical AI summaries reviewed by board-certified physicians

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