(YouTube video) Interview with IBM Cloud CTO on FHIR and healthcare interoperability
Video conversation on FHIR adoption, healthcare interoperability challenges, and cloud strategy for healthcare organisations.
Press
Writing & press
Articles written, interviews given, webinars delivered, and talks that have survived various publisher redesigns.
External articles remain the copyright of their respective publishers. This page is a record of appearances and contributions — descriptions and links, not reproductions.
2021
(external link) Safe home for the rising piles of data
Quoted across multiple sections of a feature on India's data centre landscape. On the healthcare data tonnage challenge accelerated by telehealth and remote monitoring; edge computing in value-based care models that depend on real-time streaming; and why hybrid cloud remains the pragmatic choice for regulated healthcare ISVs managing custom storage and compliance needs.
(external link) Creating an innovative FHIR solution for healthcare businesses
Architectural considerations, integration patterns, and practical realities of building FHIR-compliant solutions for healthcare organisations.
Original IBM blog URL is no longer active. Archived copy linked.
2020
(external link) Healthcare Outlook 2020
Point-of-view on the key digital transformation priorities for 2020: healthcare data aggregation and analytics at scale using Big Data, cloud, and AI/ML; the anticipated uptake of HL7 FHIR as the REST-based interoperability standard; and the IoT-generated health data opportunity alongside the privacy, governance, and enterprise data lake challenges it brings.
(external link) When manufacturing goes 3D
Quoted in a feature on 3D printing adoption across Indian industry. On healthcare's enthusiastic take-up in radiology — where 3D-printed anatomical models remove imaging ambiguity for surgeons — and the broader applications in physician training, organ evaluation, and customised implants.
2019
(external link) Blockchain's effect on patient to provider data exchange
Three questions on blockchain's trajectory in healthcare — covering the move from pilots toward interoperability use cases, the immutable ledger and decentralised trust model as a solution to data access challenges across patients, providers, payers, and life sciences, and what hospital IT leaders need to know about talent gaps, deployment strategy, and where early investments will pay off.
(external link) Azure Cosmos DB: A competitive advantage for healthcare ISVs
Why Azure Cosmos DB offers structural advantages for healthcare independent software vendors — covering multi-model data, global distribution, and HIPAA compliance considerations.
(external link) CitiusTech CTO on automation, data security and more
Four-question interview covering CitiusTech's four-pillar approach to healthcare data security (organisation, monitoring, policies, compliance with HIPAA/ISO 27001/SOC2), the role of automation in freeing clinical staff from low-value work, and the developer skills most in demand — Docker, Kubernetes, MLOps with Python and TensorFlow, and Spark for big data.
(external link) Six considerations for adopting a microservices architecture
Six architectural design considerations for adopting microservices: service discovery for dynamic environments, inter-service communication patterns (Saga, API Gateway, CQRS, Event Sourcing, Service Mesh), data integrity across distributed transactions, security at the API and token layer, distributed tracing for observability, and automated testing at unit, integration, and contract levels.
(external link) The new world of cloud computing (Part 1): When it fits and when it doesn't
On why some large healthcare organisations are re-evaluating — or migrating back from — cloud infrastructure. Covers the compliance complexity of multi-cloud strategies under GDPR and HIPAA, the cost dynamics that erode cloud economics at scale, shadow IT exposure, and the conditions under which on-premise remains the more defensible architectural choice.
2018
(YouTube video) Operationalizing Data Science Models in Healthcare
Webinar on deploying and operationalising data science and machine learning models in clinical and healthcare settings — the gap between a working model and a model in production.
(external link) Why the code never gets old in Indian IT
On software engineering longevity, career trajectories, and the enduring relevance of deep technical knowledge in the Indian IT industry.
2016
(external link) 6 Tech Trends To Watch For At HIMSS16
Six technology trends shaping the HIMSS16 agenda: cloud maturity moving toward PaaS efficiency, Docker-driven containerisation, real-time big data analytics, predictive analytics for patient risk stratification, IoT and wearables convergence, and the shift to mobility as a full-stack architectural concern rather than a presentation layer add-on.
Original Health IT Outcomes URL no longer active. Archived copy linked.
Big Data Analytics Can Be a Game Changer for Healthcare Fraud, Waste, and Abuse
On using big data analytics to detect and prevent healthcare fraud, waste, and abuse — addressing anomaly detection in claims, behavioural patterns, and the systemic gaps behind the FBI-estimated $80 billion annual problem in US healthcare.
Original HFMA URL is broken. No confirmed archive copy available.
2015
(external link) 6 things healthcare CIOs need to know about migrating to Windows 10
Six considerations for healthcare CIOs planning a Windows 10 migration: infrastructure and application compatibility testing, staff training, IT process change management, vendor support commitments, and the terms of Microsoft's upgrade offer. Also covers how Windows 10 features — Cortana for physician notes, Windows Hello biometrics for healthcare authentication, and the IoT Core SKU for remote monitoring — could reshape healthcare workflows.
2014
(external link) Will Apple's new health app bridge the gap between consumer engagement and mobile health?
An early assessment of Apple's HealthKit framework and whether it could bridge the fragmented consumer health app market with clinical systems. Examines the engagement challenges facing mobile health, what HealthKit's data aggregation approach gets right, and the gaps around Epic integration, data standardisation, and privacy that would need to be addressed.
Original mHealthNews URL no longer active. Archived copy linked.
(external link) Improving care outcomes with Google Glass
On how Google Glass could transform care delivery across inpatient, surgical, and home care settings. Covers physician time optimisation through hands-free EHR access, the ability to monitor vitals without looking away during surgery, first-person sharing of the care environment for remote consultations, and consumer engagement use cases — alongside the HIPAA compliance considerations for any real deployment.
Original mHealthNews URL no longer active. Archived copy linked.
2013
(external link) Patient engagement, mobile health and meaningful use
On the intersection of patient engagement, mobile health adoption, and the meaningful use incentive programme — and why they are more complementary than competing priorities.
Original mHealthNews URL likely no longer active. No confirmed archive copy available.
2009
Sharing Large Imaging Datasets Using Emerging Online Consumer Health Platforms
Conference paper on integrating large clinical imaging datasets with the emerging consumer health platforms of the period — Google Health and Microsoft HealthVault among them. Explores the architectural and workflow considerations for bridging clinical imaging infrastructure with consumer-facing health data platforms.
In proceedings of SIIM 2009 (Society for Imaging Informatics in Medicine). Not available online.