Clinica Arvila Magna, Barcelona have guided our technology design for a patient-centric model. This journey leads to our universal health data platform aka KATLAS Health_Cierge™.
Responsibility in Health Research
AI boosts accuracy in health diagnostics by swiftly analysing medical data, aiding in early disease detection and personalised treatment plans. It also assists radiologists in pinpointing abnormalities and bridges gaps in healthcare access.
However, AI in healthcare faces challenges. Inconsistent data quality, limited interoperability, regulatory hurdles, ethical considerations, and privacy concerns hamper its effective use.
The KATLAS Health_Cierge™ System addresses these challenges with self-sovereign digital twins acting as ‘Trust Anchors’ on which zero-knowledge proofs can be exchanged. Today, computer cryptography and distributed governance provides the surety and accountability necessary for automation of health services. This enables patients to actively participate in their health journey and clinicians to acquire a holistic overview for more effective treatments.
The KATLAS Health_Cierge™ System deploys responsible AI use in healthcare through data privacy, algorithm transparency, ethical frameworks, regulatory compliance, consent management, interoperability, monitoring, patient-centric focus, stakeholder collaboration, and responsible AI education. This framework minimises risks while upholding the highest standards of care.
KATLAS Health_Cierge™ System offer decision makers a real-time view of their patients and available capacity to deliver personalised treatments and care.