Learn How

Learn how AI can help to reduce the prevalence of UTIs among at-risk patients and anticipate adverse events. Discover how AI can help to proactively predict individuals at high risk for UTIs, identify increased risk for avoidable catheter-associated UTIs, and predict and address complications due to overutilization of antibiotics (e.g. C. difficile infection).

Automatically ingest data from dozens of health data sources including...

Medical Claims

Data extracted from health insurance medical claims with details about dates and place of service, diagnosis codes, key procedures, use of medical equipment, and provider specialties.

Lab Test Results

Data about important risk markers from tests used for diagnosis, monitoring therapy, or screening, with details about specific results and abnormal indicators.

Social Determinants of Health (SDoH)

Geo-centric data with details about the social and environmental influences on people’s health and outcomes.

nodes
Closedloop icon with a line

ClosedLoop generates explainable predictions using

thousands of auto generated, clinically relevant contributing factors

Karen Galen
65-Year-Old Female
Risk of admission due to UTI in the next 12 months
Risk Score Percentile
91
Impact on Risk  |  Contributing Factor
Value
+21% | Diagnosis of Diabetes (12M)
3
+14% | Urine Culture for Bacteriuria
Positive
+12% | # of ER Visits (6M)
2
+5% | Uninsured Children %age Measure
30%

What Are Urinary Tract Infections?

Urinary tract infections (UTIs) are the most common infections treated in outpatient settings in the United States.¹ UTIs are also the fifth most common type of hospital-acquired infection, with an estimated 62,000 infections occurring annually in acute care hospitals.² Each year, UTIs are responsible for approximately 400,000 hospitalizations, an estimated seven million office visits, and one million ED visits, resulting in roughly $10 billion in expenditures related to UTI care.³ 

Why It Matter

UTIs can lead to serious complications, especially for older adults, and may also be difficult to distinguish from asymptomatic bacteriuria (ASB). Catheter-associated urinary tract infections (CAUTIs) can lead to prolonged length of stay, sepsis, and increased costs and mortality. Annually, more than 13,000 deaths are associated with healthcare-acquired UTIs.² Differentiating UTIs from ASB in older adults is challenging, as ASB is estimated to be found in up to 16% of women older than 65.⁴ In long-term care facilities (LTCs), ASB prevalence may be as high as 50%.⁴ ASB also remains a common reason antibiotics are prescribed, but studies have indicated that up to 75% of antimicrobial use is inappropriate.⁴ This potential overutilization of antibiotics can lead to serious complications (e.g. C. difficile infection).

AI Presents an Opportunity

UTIs impose significant health and financial burdens, but providers can employ predictive analytics to proactively identify individual patients at high risk for UTIs and intervene accordingly. These interventions may be especially important for older adults who are at increased risk for complications due to overuse of antibiotics. UTI interventions may include encouraging sufficient fluid intake, promoting genital and urinary hygiene, and the use of low-dose vaginal estrogen cream.⁵ Removal of indwelling catheters without clear urological need can also prevent CAUTIs. 69% of CAUTIs are considered avoidable, and interventions based on decreasing utilization have been proven to reduce CAUTI incidence by 50% in acute care settings.⁶


Did You Know…

  • $10 billion is the estimated cost associated with UTI care in the U.S. annually³
  • 13,000 deaths are associated with healthcare-acquired UTIs each year²
  • 69% of CAUTIs are considered to be avoidable⁶
expand_more
Citations & Footnotes

1 Medina, Martha, and Edgardo Castillo-Pino. “An Introduction to the Epidemiology and Burden of Urinary Tract Infections.” Therapeutic Advances in Urology, vol. 11, 1 Jan. 2019, DOI: 10.1177/1756287219832172. Accessed 5 Mar. 2021.

2 Centers for Disease Control and Prevention. “Urinary Tract Infection (Catheter-Associated Urinary Tract Infection [CAUTI] and Non-Catheter-Associated Urinary Tract Infection [UTI] Events.” National Healthcare Safety Network, Jan. 2021, https://www.cdc.gov/nhsn/pdfs/pscmanual/7psccauticurrent.pdf. Accessed 5 Mar. 2021.

3 Simmering, Jacob E., et al. “The Increase in Hospitalizations for Urinary Tract Infections and the Associated Costs in the United States, 1998–2011.” Open Forum Infectious Diseases, vol. 4, no. 1, 1 Jan. 2017, DOI: 10.1093/ofid/ofw281. Accessed 8 Mar. 2021.

4 Rowe, Theresa A, and Manisha Juthani-Mehta. “Urinary Tract Infection in Older Adults.” Aging Health, vol. 9, no. 5, Oct. 2013, pp. 519–528, 10.2217/ahe.13.38.

5 Family Health Team. “6 Things You Should Know about UTIs in Older Adults.” Health Essentials from Cleveland Clinic, Health Essentials from Cleveland Clinic, 4 May 2018, health.clevelandclinic.org/6-things-you-should-know-about-utis-in-older-adults/. Accessed 23 Feb. 2021.

6 Meddings, Jennifer, et al. “Systematic Review of Interventions to Reduce Urinary Tract Infection in Nursing Home Residents.” Journal of Hospital Medicine, vol. 12, no. 5, 1 May 2017, pp. 356–368, doi: 10.12788/jhm.2724. Accessed 8 Mar. 2021.

Klas image

ClosedLoop.ai’s healthcare expertise was a big deal to us. It didn’t take a lot to translate things, and they adapted their approach to create a predictive model for our unique interest in the data streams.

Anonymous Customer CEO
KLAS Analyst Report
Cheryl

We are extremely impressed with the predictive modeling capabilities the ClosedLoop platform has delivered. The ClosedLoop team has exceeded all defined goals and benchmarks set to date and we anticipate a substantial return on our investment as these predictions are operationally deployed.

Cheryl Lulias
President & Executive Director, MHN
Klas image

We wanted to use the product for population health and SDOH. The things we can do with the ClosedLoop.ai product are unlimited.

Anonymous Customer
KLAS Analyst Report
image of Jim Walton

Over the course of my career, there has never been an opportunity like this. The need for efficiency is a daunting challenge. The capacity of predictive AI technology drives our efficiency and will have a lasting impact on our ability to help PCPs improve the quality of health outcomes while reducing health disparities.

Dr. Jim Walton
President & CEO, Genesis Physicians Group
image of Drew

ClosedLoop stood out from other AI firms in that they offered not only a usable, flexible analytics platform but extensive healthcare expertise.

Drew Crenshaw
Chief of Population Health, Oak Street Health

Learn What ClosedLoop Can Do for Your Organization

The industry’s best collection of customizable predictive models for common healthcare use cases.

Talk To An Expert