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Better Care has connected and integrated the medical devices of different hospitals, and developed the clinical viewer that allows medical personnel to view and validate the recommendations of the algorithms
The European IntelliLung project, which applies artificial intelligence to improve the treatment of critical patients connected to mechanical ventilation, has successfully passed its first phase of implementation. The program aims to provide a decision support system using advanced AI algorithms to analyze data from mechanical ventilation, extracorporeal pulmonary support and other sources. This data is transferred securely and allows healthcare professionals to monitor patient conditions and respond quickly to system recommendations. Continuous and exhaustive monitoring is essential in this area, as is the understanding and interpretation in real time of the data generated by the medical devices connected to the patient.
For this reason, Better Care, a company dedicated to the capture, management and processing of clinical data, plays a very important role in connecting and integrating medical devices from different hospitals, and developing the clinical viewer that allows medical personnel to view and validate the recommendations of the trained algorithm with real patient data.
For Rudys Magrans, Head of Data Science at Better Care and participant in the project, “this viewer puts artificial intelligence at the service of clinical staff. Once validated, it could represent a new tool for acting precisely at the most critical moments.” Mechanical ventilation is one of the most commonly used therapies for critically ill patients with acute respiratory failure but, despite its benefits, an incorrect application can seriously affect the patient. In addition, in the ICU, small asynchronies between the ventilator and the patient can hinder recovery.
Hence the importance of the project that has been working on since 2022 and which makes it possible to detect these asynchronies and suggests how to act before they worsen. Two Spanish hospitals are participating in the second phase of the project. Once the first part of the project has been completed, the second phase has begun, which aims to validate the algorithm with prospective data on patient-ventilator asynchronies in real time from four hospitals: La Princesa University Hospital and Fundació Parc Taulí (Spain), General Hospital of Warsaw (Poland) and Technical University of Dresden (Germany). The study will compare the performance of the algorithm with the current standard of care in more than 500 patients at these centers.
In addition, the algorithm will provide clinicians with medical recommendations on how they should act to modify the interaction between patient and mechanical ventilator and thus improve their recovery.
