Healthcare Technology with an ROI Shouldn’t Be the Exception

Blog

  1. Reduced Length of Stay
    Studies have found that ICUs saw LOS drop by 18% 1 to 36% 2 after introducing the Etiometry platform. Using even conservative estimates, an ICU that saw a reduction of 60 patient days out of 2,400 patient days annually would see a cost savings of more than $1.2 million. 3
  2. Fewer Readmissions
    According to a 2023 study, the Etiometry platform was associated with a 41% reduction in unplanned ICU readmissions. 4 Our model shows that, due to lower occupancy rates,a 14-bed ICU could serve approximately ten additional patients each year, resulting in an additional revenue opportunity of almost $475,000 annually. 3
  3. Turnkey Quality Initiatives and Research
    Accessible long-term storage and reporting of clinical data in Etiometry’s QI App revolutionizes the ability to measure adoption, compliance and outcomes associated with the platform’s clinical pathways to improve quality. Quality metrics Etiometry users track include average time on mechanical ventilation, ICU LOS, failed extubation, ICU readmissions, etc.  Read more.
  4. Nurse Satisfaction
    Surveys found that 88% of nurses say Etiometry makes their job easier, the platform is easy to use and helps them accomplish tasks in fewer steps. In addition, 79% say Etiometry saves them time. 5
  5. Powering a Learning Health System
    According to the Agency of Healthcare Research and Quality, a Learning Health System is an approach to healthcare that leverages real-world data and evidence to build a culture of continuous learning and improvement. Enter Etiometry’s clinical intelligence platform for high-acuity care, which serves as a foundation for hospitals to implement a Learning Health System – helping healthcare systems address critical gaps in quality studies, such as uncertainty around whether guidelines and protocols are being followed. The platform also leverages artificial intelligence to analyze data for a wide range of uses, for individual patient reports and risk analytics, to impactful multi-center research studies.

The bottom line is that early recognition of either patient deterioration or improvement can enable better outcomes and shorter stays in the ICU, leading to significant cost reduction and opportunity for increased revenue through increased throughput.

Request for value calculation of the savings and revenue opportunities that Etiometry could bring to your site.


Contact Us

This field is for validation purposes and should be left unchanged.
Name(Required)
This site is protected by reCAPTCHA and the Google Privacy Policy andTerms of Service apply.

Citations: 1. 18% reduction in LOS: Gaies, M. (2023) Methods to enhance causal inference for assessing impact of Clinical Informatics Platform Implementation. Circulation: Cardiovascular Quality and Outcomes. 2. 36% reduction in LOS: Salvin, J. et al. (2017) The Impact of a Real-Time Physiologic Data Analytic Index on Length of Stay in Neonates Following Surgery for Congenital Heart Disease, Circulation. 3. Document on File: Etiometry ROI Calculator. 4. Gaies et al, Circulation ’23. 5. Lowry, NASA TLX survey analysis from PCICS abstract.


Related

Etiometry Named Fierce Healthcare Innovation Award Finalist

Etiometry has been named a finalist for the 2026 Fierce Healthcare Innovation Awards in the Data Analytics/Business Intelligence category. Presented by Fierce Healthcare, the program recognizes innovation that is shaping the healthcare industry. Finalists are selected by an independent panel of industry experts. This recognition reflects our work to bring the clinical data generated in […]

TIME World’s Top HealthTech Companies of 2026

We’re honored to be named one of TIME ’s World’s Top HealthTech Companies of 2026. Developed with Statista, the list recognizes innovative and impactful companies advancing healthcare through technology, evaluated across financial performance, reputation, and online engagement. See the full list: TIME World’s Top HealthTech Companies of 2026

The ‘Messy File Cabinet’ Effect- How AI is Bringing Clarity to Critical Care

In a new DOTmed article, Etiometry Co-Founder and Chief Technology Officer Dimitar Baronov explores the “messy file cabinet” effect in the ICU and how AI can help transform fragmented, high-frequency patient data into meaningful clinical insight. Read the full article to learn how AI is helping bring greater clarity to complex critical care environments: www.dotmed.com