Healthcare Data Management, Analytics, and AI Platforms

Design and build a comprehensive system for data collection, storage, access, and analysis of healthcare events via IoT devices and secure internal interfaces.

Development of a cloud-native, microservices-based analytics engine that ingests, processes, and analyzes large-scale medical sensor data in real-time, with secure and compliant data handling, and flexible deployment capabilities.

Development of an internal analytics dashboard comprising data collection, processing, and reporting capabilities, with automation supporting regulatory compliance and application scalability.

Design and develop an interactive, extensible analytics platform that supports data integration, feature selection, predictive modeling, patient clustering, and explainability features within a user-friendly interface.

Design a comprehensive digital platform capable of aggregating, managing, and analyzing healthcare data from heterogeneous sources with user-friendly interfaces and secure access controls.

Design and implement a system that captures device data indirectly via database integrations, supports data analysis, and provides visualization through dashboards tailored for multi-regional markets.

Design and implement a comprehensive healthcare analytics application suite featuring a unified UI component library, a modernized admin panel, high-performing data analysis tools, and an integrated app store, supported by automated testing pipelines.

A comprehensive system comprising a backend API, a user-facing portal, and an AI chatbot, integrated with large language models to assist in medical information processing and process automation, while ensuring data privacy and security.

Design and develop a cloud-enabled, modular analytics platform featuring customized visualization tools and optimized computation workflows to support complex biological data analysis.

Design and develop a scalable data processing and storage system capable of ingesting, normalizing, and providing real-time access to clinical trial and patient data, supporting advanced analytics and reporting.

A system capable of collecting, cleansing, standardizing, linking, and maintaining golden records of patient data from diverse sources, facilitating reliable and unified patient information across the healthcare network.

Design and deploy a fully compliant, scalable data science environment with automated setup, migration, and integration capabilities, supporting ongoing operations and future growth.