This project lays the groundwork for the LabStat Analyze Project, a groundbreaking public resource in bioinformatics and computational biology. By leveraging cutting-edge artificial intelligence, LabStat Analyze empowers healthcare systems to analyze medical laboratory data and imaging results (X-ray, MRI, etc.) with unparalleled efficiency.
The LabStat Analyze Project integrates with Turkish electronic health record systems (such as E-Nabız or private data) to collect and condense medical histories, enabling providers to fully understand their patients by finding data previously lost in mountains of files. It searches patient data nationwide according to providers' schedules, condensing notes, lab results, and more into specialty-specific clinical summaries with links to original sources. LSAP then translates clinical summaries into value-based care metrics, risk scores, and quality measures for practice-level insights. In addition, it provides various specialized analyses and recommendations thanks to deep learning and machine learning.
Key Features:
- Patient-centric: Patients gain a clear understanding of their condition and treatment options through a user-friendly interface.
- Clinician-focused: Doctors can readily access a patient's medical history, facilitating swift and accurate diagnoses.
LabStat Analyze represents a significant leap forward in healthcare, empowering patients and clinicians alike.