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Logibec NOAH

Accelerating clinical research by mastering data with an advanced technological solution

Replicating data and identifying cohorts from "anonymized" patient data

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.


From Research, to Treatment

Learn how Logibec NOAH helps researchers to instantly identify patient cohorts to improve their chances of recruitment with secure autonomous access to standardized data.

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Logibec NOAH: Push the limits of research

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.

Before

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After

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50%

of the tasks performed by researchers are automated by Logibec NOAH.

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Exponential increase in capacity for modeling and identifying patient cohorts.

10x

Patients can be recruited for clinical trials 10 times faster.

Break new ground in patient care using connected data 
Logibec NOAH was created to interconnect specialists, fields of expertise and locations so that genomic, clinical, administrative and general research data can be linked, referenced and integrated in a secure, harmonious and intuitive manner. 

With Logibec NOAH, the driving forces behind the evolution of the healthcare industry can unite to optimize patient care using data sharing, cohort identification and in-depth analyses of results. 

 

 

Proper governance of automated data and accesses

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.

 

Customize criteria to identify cohorts 
With i2b2, Logibec NOAH provides researchers with exponential flexibility in identifying patient cohorts. No need for IT support to navigate the data tree!

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.

 

Customized data entry and electronic forms
The Logibec NOAH solution includes a data entry tool which enables researchers to add notes and import additional data related to their patient cohorts. The complementary data are de-identified and encrypted before being aggregated with all patient files.

The right of access to this new data can be restricted if necessary.

 

 

Modeling, in-depth analysis, and translational & "omic" research
Logibec NOAH facilitates data modeling :

  • A large inventory of clinical data can be aggregated with consistency.
  • Logibec NOAH is designed to integrate with Azure ML Studio, SAS, tranSMART, Python, R, and other solutions.
  • Modeling, natural language processing, and translational research can be performed by applying the same level of governance and security everywhere.

 

Harness real processing power 

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.

Replicate data and experiment freely

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.

 

More about Logibec

  • Accelerate the Research Pipeline with Logibec NOAH and i2b2
    Accelerate the Research Pipeline with Logibec NOAH and i2b2
    Feb 22, 2021, 08:00 AM
    by Sophia Kapchinsky, PhD.
    Clinical research plays a central role in medical advancements and improving patient treatments. Research is well-known to be a long and arduous process, with great rewards for those who publish. From identifying the right research hypothesis, securing funding, identifying and recruiting patient groups, collecting and analyzing data, and then publishing and promoting the research findings, each step takes time and may require unique methodology depending on the clinical specialty. 
    Read the article
  • How to Have Full Access to a Centralized Bank of Patients’ Electronic Health Records While Preserving Patient Privacy?
    How to Have Full Access to a Centralized Bank of Patients’ Electronic Health Records While Preserving Patient Privacy?
    Feb 18, 2021, 08:00 AM
    by Sophia Kapchinsky, PhD.
    Modern-day research centers and early-adopters of digital innovations are reaping the benefits of using big data for clinical research. Using big data accelerates the research pipeline by facilitating study cohort identification and collaborations between research institutions, as well as increasing publication output and improving the ROI.
    Read the article
  • How Can Expedited Patient Recruitment Affect the Bottom Line of a Research Center?
    How Can Expedited Patient Recruitment Affect the Bottom Line of a Research Center?
    Feb 16, 2021, 08:00 AM
    by Sophia Kapchinsky, PhD.
    Knowing whether a patient cohort already exists before starting recruitment can be done through an organized database of EHRs. Using a centralized database of de-identified EHRs, which include digital notes about health, socio-economic and genetic data, I.o.T data, etc., reduces the chance that researchers will fail to meet their recruitment targets, exceed the planned timeline, or that the study will fail to meet statistical significance. Visibility on patient numbers directly supports making informed decisions and impacts the direction of the research question.
    Read the article
  • How to Measure and Improve ROI in Clinical Research
    How to Measure and Improve ROI in Clinical Research
    Feb 11, 2021, 08:00 AM
    by Sophia Kapchinsky, PhD.
    Using a centralized database of de-identified electronic health records (EHR) can help clinical researchers determine study feasibility, expedite patient recruitment, reinforce grant applications, and avoid research dead-ends in a cost-effective manner. 
    Read the article

Continuum Health

Optimize the patient journey at every stage of the care trajectory with in-depth analytical reports and real-time visual representations of objective achievement through performance indicators presented in a single, user-friendly interface.

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Healthcare professional consulting a patient's medical report | mobile device
Health science researcher analyzing patient medical data

Performance & Analytics

Have access to predictive scenarios and strategic recommendations based on your healthcare facility’s Big Data to support your daily decisions and drive the achievement of your operational objectives related to patient services quality and efficiency.

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Need a Customized Solution?

Explore the different possibilities offered by Logibec with its range of technological solutions and discover a team of consultants dedicated to helping you optimize your hospital processes.