Healthcare App Development Services

We use advanced Computer Vision Development to monitor and study the human movements with high precision, targeting digital therapeutics (DTx). Custom models analyze gait, including joint angles and range of motion (ROM), to track improvement. Monitoring specific, complex movements provides more accurate results compared to generic tools. This enables physiotherapists to offer data-based instructions, even in remote sessions. The systems are in line with medical imaging standards, including DICOM for viewing and potential 3D reconstruction. They also support further AI applications for pathology detection.

We implement secure healthcare IT systems that are compliant with the most rigorous HIPAA and GDPR standards. This includes log auditing and using RBAC/ABAC methods for user access control. We build intricate FHIR servers with API gateways for seamless patient data sharing (Health Information Exchange - HIE) among the healthcare providers. We integrate Blockchain technology into our systems, thereby achieving future-proofing of data safety and its source tracing. We strongly protect patient confidentiality and implement measures that keep personal identifiers (de-identification and k-anonymity) out of research data.

Our advanced AI/ML models help doctors make clinical decisions (Clinical Decision Support – CDS) to give actionable patient care recommendations, not just basic tracking. The system analyzes performance, adherence, and fatigue and thus provides evidence-based clinical protocols. The ML modules apply sets of rules and knowledge (ontologies) to generate risk scores and trigger alerts. We introduce mental health and behavioral medicine features with secure chat and severity measures (like PHQ-9 and GAD-7) integration.

You can count on us as your one-stop custom health app development partner. We offer complete support throughout the journey from the initial Proof of Concept (PoC) to the market-ready Minimum Viable Product (MVP) and even after launch with maintenance. Our method employs the V-model for verification and validation with GxP compliance. We build secure and reliable cloud platforms for medical data with the use of secure VPCs and HSM/KMS for encryption for high performance. We maintain the performance of native quality through healthcare Android app development and iOS solutions with the added advantage of accessibility (WCAG) compliance and multilingual support.