Huma
A Remote Patient Monitoring Platform
The client, Huma, is a global healthcare technology company offering advanced AI-first health platform – the Huma Cloud Platform (HCP). It supports major national healthcare programs and has been deployed in more than 3,000 hospitals and clinics across 70+ countries.
As a fast-growing leader in modern healthcare, Huma approached our team with a vision to build digital health application. The goal was to help doctors monitor patient records remotely, run virtual hospital wards, support medical research, and develop new ways to diagnose illnesses using advanced technology.
We built a strong and scalable platform that connects real-time data from hospitals and turn this data into useful insights for doctors and healthcare teams. This made it easier for medical staff to track symptoms, manage chronic conditions, and respond quickly for better care outcomes.
The platform continues to help modernize healthcare around the world with AI automation, easy‑to‑configure medical apps, and partnerships with leading pharma companies and government health systems.
Business Needs
Remote Patient Monitoring (RPM)
Enable clinicians to check patient health from anywhere using regulated, digital monitoring tools.
Virtual Hospital Ward Management
Support hospital‑at‑home models where medical teams can supervise multiple patients remotely in real time.
Secure Patient Data Management
Safeguard sensitive health information through identity controls, network security, and threat detection.
Seamless Healthcare Workflows
Reduce manual effort and streamline care routines through digital-first, AI-enabled workflows.
Real-Time Data Integration
Combine live data from clinical systems and connected devices into one unified platform view.
AI-Powered Clinical Insights
Turn raw data into predictive, diagnostic, and triage insights using AI and machine‑learning models.
Regulatory Compliance (FDA, EU MDR)
Ensure globally compliant deployments with certified medical‑device‑grade infrastructure.
Automated Clinical Documentation
Capture doctor–patient conversation details automatically through AI‑driven documentation tools.
Billing Information Capture Automatically
Generate structured billing data directly from clinical interactions to improve revenue workflows.
Challenges Faced
Difficulty managing large volumes of real-time patient data
Disconnected systems across hospitals, mobile apps, and wearables
Infrastructure gaps limiting global scalability
Complex multi-region regulatory compliance requirements
Inefficient coordination in virtual ward operations
Limited conversion of clinical data into actionable AI insights
High demand for secure, high-performance data environments
Clinical notes needing automation without disrupting consultations
Solutions
Delivered Remote Monitoring Dashboards
Delivered a seamless interface for clinicians to monitor patient vitals, symptoms, and records in real time – all from a single, connected dashboard.
Enabled Virtual Ward Workflows
Developed tools that allow medical teams to supervise large patient groups remotely, with structured care pathways, alerts, and automated follow‑ups.
Built Unified Real-Time Data Integration
Engineered a secure data ingestion layer that syncs clinical systems, mobile devices, and wearable sensors into one unified data model. Ensured that information flows smoothly across the platform and eliminates data.
Strengthened Medical‑Grade Security
Implemented strong encryption, role‑based access, and audit trails to support safe handling of sensitive health data.
Clinician‑Friendly Care Workflows
Designed intuitive user flows that reduce manual effort, simplify decision‑making, and improve day‑to‑day clinical productivity.
Added AI‑Powered insights
Developed intelligent data processing pipelines that convert complex clinical data into actionable insights.
Automated Clinical Documentation
Integrated AI‑based scribing capabilities to automatically generate structured consultation notes without disrupting patient care.
Implemented Billing Code Generation
Added billing‑ready coding outputs derived from clinical interactions, helping reduce administrative load and improve revenue accuracy.
Scalable Cloud Infrastructure
Implemented a cloud-native architecture capable of supporting millions of users across multiple countries. Designed specifically for high availability, performance, and rapid scalability.
Web & Mobile Ecosystem
Delivered both web and mobile applications, ensuring seamless access for healthcare providers and patients across multiple devices.
Measurable Results / ROIs
Up to 95% patient engagement and retention in digital care programs
3X higher clinical productivity for medical teams
+ 60% reduction in manual data processing effort
+ 45% faster clinical decision-making through AI-driven insights
Significant increase in platform scalability across global deployments
3–4× improvement in patient safety outcomes with continuous remote monitoring
2–3 minutes saved per consultation with automated documentation and coding
Trusted by more than 4,500 hospitals and clinics worldwide
Technology Stack
Client Testimonial
Milano, CTO
Partnering with Enlight Lab’s development team has accelerated our digital care capabilities far beyond what we expected. They helped us build a secure and reliable digital health platform that gives medical teams real-time access to patient data across hospitals, devices, and wearables – something we had struggled with for years.
The collaboration with them throughout our platform transformation journey has been instrumental in advancing our mission to deliver safe, proactive, AI‑driven healthcare at scale.
