Designing Technology for Better Healthcare
Bridging the gap between clinical excellence and digital innovation. Designing systems that enhance, rather than obstruct, the practice of medicine.
Discuss a healthcare project
Healthcare Technology
My interest in healthcare technology began with a practical clinical problem: neonatal intensive care generates large volumes of time-sensitive information, but many units still depend on fragmented paper records and manual workflows.
Umbel Care and Neocleus
Founding Umbel Care was driven by a distinct clinical need: to build a platform that clinicians actually wanted to use. The resulting product, Neocleus, was designed from the ground up around neonatal workflows and is used across hospitals in four Indian states.
By focusing on intuitive interfaces and seamless data integration, the system minimises administrative burden and maximises time spent on direct patient care.
Paperless workflows
Digitising records without compromising clinical narrative integrity.
Tele-NICU support
Remote monitoring capabilities for critical neonatal care environments.
Error reduction protocol
Systematic fail-safes designed to catch prescribing and charting anomalies before they affect patient safety.
Leadership in telehealth and digital wellness
As Chief Medical Officer of a telehealth organisation, I oversaw the deployment of telehealth infrastructure, balancing regulatory compliance with genuine accessibility for users.
Designing multidisciplinary wellness programmes relies on consistent data structures, so that physiotherapists, nutritionists and physicians share a unified view of a patient's progress.
What digital wellness programmes taught me
The three imperative tests for any healthcare technology.
Clinical usefulness
Does the tool directly improve a diagnostic or therapeutic outcome? Technology for its own sake is a distraction in a clinical setting.
Workflow fit
Does it respect the existing routines of the practitioner? A system that requires a doctor to break eye contact with a patient is fundamentally flawed.
Sustainable adoption
Is the maintenance and training burden manageable? Long-term success requires intuitive design that minimises onboarding friction for rotating staff.
Smart health reports
Translating complex laboratory data into accessible, actionable health information for both clinicians and patients.
Numbers without context. Interpretation left entirely to the reader.
The same results, read as a trajectory — with the clinically significant change surfaced first.
By applying structured data models to standard laboratory results, we can surface trends, flag anomalies against patient history, and generate narrative summaries that save diagnostic time while improving patient comprehension.
Discuss a technology project
Whether you are developing a new clinical application or seeking to refine an existing digital health workflow, structured clinical insight is critical.
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