Inflammatory Phenotypes of Nasal Epithelium from Long-COVID-19 Patients: Results of the Precision Medicine for More Oxygen-COVID-19 Extension Study

Baalbaki, Nadia; Bazdar, Somaye; Bogaard, H.J.; Drunen, C.M.; Heijink, I.H.; Zee, Anke H. Maitland‐van der; Nossent, E.J.; Houweling, Laura; Noij, N.

doi:10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3619

Cited by 1 publication

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“…Additionally, Test cascades allowed cooperation between departments while properly controlling data access on a need-to-know basis. The Long Covid use case (50) belongs to the precision medicine for lung diseases (P4O2) research project, a multi-site clinical study for lung diseases for precision medicine, including a Long Covid study. Data was entered by five different inclusion centres directly into LogiqScience as an eCRF.…”

Section: Real-time Monitoring Of a Multilocation Clinical Studymentioning

confidence: 99%

A data management system for precision medicine

Jacobs,

Beekers,

Verkouter

et al. 2024

Preprint

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IntroductionPrecision, or personalised medicine has advanced requirements for medical data management systems (MedDMSs). MedDMS for precision medicine should be able to process hundreds of parameters from multiple sites, be adaptable while remaining in sync at multiple locations, real-time syncing to analytics and be compliant with international privacy legislation. This paper describes the LogiqSuite software solution, aimed to support a precision medicine solution at the patient care (LogiqCare), research (LogiqScience) and data science (LogiqAnalytics) level. LogiqSuite is certified and compliant with international medical data and privacy legislations.MethodThis paper evaluates a MedDMS in five types of use cases for precision medicine, ranging from data collection to algorithm development and from implementation to integration with real-world data. The MedDMS is evaluated in seven precision medicine data science projects in prehospital triage, cardiovascular disease, pulmonology, and oncology.ResultsThe P4O2 consortium uses the MedDMS as an electronic case report form (eCRF) that allows real-time data management and analytics in long covid and pulmonary diseases. In an acute myeloid leukaemia study data from different sources were integrated to facilitate easy descriptive analytics for various research questions. In the AIDPATH project, LogiqCare is used to process patient data, while LogiqScience is used for pseudonymous CAR-T cell production for cancer treatment. In both these oncological projects the data in LogiqAnalytics is also used to facilitate machine learning to develop new prediction models for clinical-decision support (CDS). The MedDMS is also evaluated for real-time recording of CDS data from U-Prevent for cardiovascular risk management and from the Stroke Triage App for prehospital triage.DiscussionThe MedDMS is discussed in relation to other solutions for privacy-by-design, integrated data stewardship and real-time data analytics in precision medicine.ConclusionLogiqSuite is used for multi-centre research study data registrations and monitoring, data analytics in interdisciplinary consortia, design of new machine learning / artificial intelligence (AI) algorithms, development of new or updated prediction models, integration of care with advanced therapy production, and real-world data monitoring in using CDS tools. The integrated MedDMS application supports data management for care and research in precision medicine.

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Section: Real-time Monitoring Of a Multilocation Clinical Studymentioning

confidence: 99%