TREAT Software Suite

Guideline compliance

Tune patient-specific recommendations to implement hospital guidelines for antimicrobial therapy.

Improving treatment quality

Reproducible results have shown that TREAT can provide up to 15% higher coverage for empirical treatments.* 

Fewer broad-spectrum agents

Use of TREAT has been shown to reduce prescription of broad-spectrum antimicrobials by up to 1/3.*

Explainable AI

Our explanatory decision-support models open the black box to provide information on the impact of findings and rationale for the models' output.

Our solutions

We are dedicated to build integrated solutions that fulfill our customers’ needs whether they are looking for surveillance, bed-side guidance or resource management in the clinical or laboratory settings. All our solutions are developed with the highest quality under our management systems using the ISO13485, ISO27001 and ISO27701 standards.

TREAT-Essential: Antimicrobial Stewardship Software


A fully integrated antimicrobial stewardship tool helping clinicians to select rational antimicrobial therapy at point of care.

TREAT-Essential is a comprehensive software tool for implementing an Antimicrobial Stewardship Program. It automatically collects data, provide patient-specific advice of treatment adapted to local policies, and manage reports and statistics as well as antibiograms. It gives the opportunity to create consistency and assure quality in the management of patients with infection and the use of antimicrobials. TREAT-Essential consists of a set of modules grouped according to three main areas of focus: Quality assurance, Decision support, and Statistics and surveillance.


A diagnostic stewardship tool that identifies patients for whom rapid diagnostics may be cost-effective.

TREAT-Lab is a tool for the clinical microbiologist; supporting diagnostic- and antimicrobial stewardship initiatives in the microbiology laboratory. The core of TREAT-Lab is its proprietary risk-prediction algorithm: a model that estimates the risk of death and the likelihood of a positive microbiological test. The risk-prediction algorithm uses a Causal Probabilistic Network (CPN) model of the patient’s inflammatory response and can be used as guidance of when to take additional rapid tests in a cost-effective way.

TREAT-Lab: Diagnostic Stewardship

Key Publications

Journal of Antimicrobial Chemotherapy 58(6) 2006

Improving empirical antibiotic treatment using TREAT, a computerized decision support system: cluster randomized trial

M Paul, S Andreassen, E Tacconelli, AD Nielsen, N Almanasreh, U Frank, R Cauda, L Leibovici on behalf of the TREAT Study Group


DOI: 10.1093/jac/dkl372

Journal of Antimicrobial Chemotherapy 63(2) 2009

Performance of the TREAT decision support system in an environment with a low prevalence of resistance pathogens

K Kofoed, A Zalounina, O Andersen, G Lisby, M Paul, L Leibovici, S Andreassen


DOI: 10.1093/jac/dkn504

International Journal of Infectious Diseases 29 2014

Evaluation of the decision support system for antimicrobial treatment, TREAT, in an acute medical ward of a university hospital

B Arboe, RR Laub, G Kronborg, JD Knudsen


DOI: 10.1016/j.ijid.2014.08.019

Eur J Clin Microbiol Infect Dis 38(8) 2019

Clinical- vs. model-based selection of patients suspected of sepsis for direct-from-blood rapid diagnostics in the emergency department: a retrospective study

L Ward, S Andreassen, J Astrup, Z Rahmani, M Fantini, V Sambri


DOI: 10.1007/s10096-019-03581-4

BMC Infectious Diseases 21(864) 2021

A comparison of predictors for mortality and bacteraemia in patients suspected of infection

S Andreassen, JK Møller, N Eliakim-Raz, G Lisby, L Ward


DOI: 10.1186/s12879-021-06547-0