of the tasks performed by researchers are automated by Logibec NOAH.
Accelerating clinical research by mastering data with an advanced technological solution
Logibec NOAH is an innovative data management solution that allows researchers and healthcare institutions to share and access anonymized patient data securely, to replicate data and identify cohorts using granular, customized criteria with powerful, cost-effective tools that support advances in research worldwide.
Logibec NOAH was created to promote interconnectivity between specialists, expertise, and locations, so that genomic, clinical, administrative, and general research data can cross-reference and complement each other in a safe, harmonious, intuitive, and integrated manner.
Thanks to Logibec NOAH, the union of the vital forces of the health industry contributes to the optimization of patient care through data sharing, identification of cohorts, and in-depth analysis of results.
Exponential increase in capacity for modeling and identifying patient cohorts.
Logibec NOAH automates the governance of the access to data as established by the healthcare establishment and by the patient's consent form. Aggregated data is systematically de-identified, encrypted and structured with consistency. A unique identifier is created to allow longitudinal tracking.
Access to the data is configurable for each users. The data is logged daily for audit purposes. Only the establishment and its ethics committee are able to re-identify patients for the purpose of a clinical trial, for instance.
Select the research criteria in “drag and drop” mode and immediately obtain the required number of patients that meet the desired attributes. The user-friendly navigation allows researchers to be autonomous and to gain great flexibility for iterations.
Our flexible and affordable cloud infrastructure lets you access the processing power needed, as needed. The allocation of cloud capacity is configurable for each user.
With NOAH, create as many copies of the data as necessary, manage access to each instance separately and process their contents independently.
Secondary data that accumulates can be enhanced later.