ORTEC LogiqSuite is a medical data management system that can serve as a valuable tool to evaluate data for both research and clinical care. It consists of three configurable, cloud-based medical data management systems. Together, they manage real-time, de-identified, and privacy-unenriched data, and make it available for both medical data science and descriptive analytics. To the researcher, it offers high-quality data for clinical studies. Healthcare professionals can use various standard functionalities, such as a test request and patient case management. In addition, they can use connected solutions (including third-party solutions), such as for Clinical Decision Support.
Modern medicine is evidence-based. It relies on scientific evidence, including clinical trials and data science. Medical data science is also essential for the realization of personalized medicine. In the years to come, prognosis, diagnosis, and treatment will increasingly be based on algorithms. Personalized medicine will take into account the patient's genetic, epigenetic, and lifestyle characteristics. That means it can be targeted much more precisely than traditional medicine.
Via de link below you will find an overview of the clinical research projects that ORTEC actively contributes to, for example by using our expertise in data science, developing new technology, performing mathematical analyses, or making available infrastructure for data management or communication platforms.
Academic hospitals and clinical research institutes aim to improve health care through the development of personalized medicine. However, that research depends on huge quantities of high-quality, personalized medical data. The challenge is to get data that is both available and fit to use. Data created in a care environment is often unsuited for research, and even data generated by clinical research will need to be extensively processed before it can be analyzed.