ECONOMIC IMPACT OF THE CONNECTED ICU: MOVING FROM REACTIVE TO PROACTIVE HEALTHCARE IN PRIVATE HOSPITALS
Author(s)
Lucas Scultori, PharmD1, CRISTINA N. FERREIRA, MBA, MSc, PharmD1, LAIS PIMENTA, Pharmacist, Intern2, AUGUSTO PAIVA, Engenieer1.
1Laboratórios B.Braun, Rio de Janeiro, Brazil, 2Universidade Federal Fluminense, Rio de Janeiro, Brazil.
1Laboratórios B.Braun, Rio de Janeiro, Brazil, 2Universidade Federal Fluminense, Rio de Janeiro, Brazil.
OBJECTIVES: To evaluate the economic impact, financial challenges, and operational efficiency of implementing a Connected ICU in private hospitals, shifting from a traditional reactive medicine model to a data-driven, proactive approach.
METHODS: An economic analysis was conducted from the private provider perspective across five key categories: drug library, alarm fatigue, auto-programming, labor optimization, and billing rejection. The model integrated literature and market data to analyze clinical parameters, error probabilities, workflow times, and billing rejections (which dropped from 17% to 2% post-integration).
RESULTS: In a 200-bed scenario, drug library integration avoided BRL 29,678.18 in error costs. In a 30-bed scenario, mitigating alarm fatigue saved 415.14 nursing hours/year (BRL 7,842.84 saved), auto-programming prevented 665 errors (saving BRL 845,828.11, a 29% reduction), and operational optimization saved BRL 11,032.95. Furthermore, reducing billing rejections increased profitability by BRL 360,169.15, representing a 20% increase.
CONCLUSIONS: Digital integration in ICUs generates substantial cost savings, optimizes bed turnover, reduces waste, and ensures institutional financial sustainability by significantly improving operational efficiency and revenue optimization
METHODS: An economic analysis was conducted from the private provider perspective across five key categories: drug library, alarm fatigue, auto-programming, labor optimization, and billing rejection. The model integrated literature and market data to analyze clinical parameters, error probabilities, workflow times, and billing rejections (which dropped from 17% to 2% post-integration).
RESULTS: In a 200-bed scenario, drug library integration avoided BRL 29,678.18 in error costs. In a 30-bed scenario, mitigating alarm fatigue saved 415.14 nursing hours/year (BRL 7,842.84 saved), auto-programming prevented 665 errors (saving BRL 845,828.11, a 29% reduction), and operational optimization saved BRL 11,032.95. Furthermore, reducing billing rejections increased profitability by BRL 360,169.15, representing a 20% increase.
CONCLUSIONS: Digital integration in ICUs generates substantial cost savings, optimizes bed turnover, reduces waste, and ensures institutional financial sustainability by significantly improving operational efficiency and revenue optimization
Conference/Value in Health Info
2026-11, ISPOR Europe 2026, Vienna, Austria
Value in Health, Volume 29, Issue 12S
Code
CO12
Topic
Clinical Outcomes, Economic Evaluation