Patient Data Analytics in Healthcare IT: Insights Without Compromising Privacy
Building analytics systems for healthcare data that provide insights while protecting patient privacy—anonymization, aggregation, and secure analytics patterns.
Building analytics systems for healthcare data that provide insights while protecting patient privacy—anonymization, aggregation, and secure analytics patterns.
Practical patterns for integrating with Electronic Health Records (EHR) systems—HL7, FHIR, security, and real-world implementation approaches.
Practical guide to implementing open banking—PSD2, API design, consent management, and third-party integration patterns.
Building fraud detection systems that catch real threats without creating friction for legitimate customers—ML models, rules engines, and real-time processing.
A strategic approach to migrating finance IT systems to the cloud—security, compliance, and minimizing risk during transition.
A practical framework for data governance in finance organizations—lineage, quality, access control, and regulatory compliance.
A practical guide to smart contract security audits—what auditors check, common vulnerabilities, and how to prepare your contracts for review.
Why finance IT can’t just be a ticket-taking department anymore—and how to structure teams, platforms, and governance to support constant change.
Banks that treat APIs as a core product—not just plumbing—ship features faster, integrate partners more safely, and meet open banking expectations.
How insurers can phase in new digital experiences, analytics, and automation while keeping core policy and claims systems stable.
You don’t need a full security department to meaningfully reduce risk. Start with a handful of controls that protect customer data and production access.
How to build patient-facing portals and apps that improve access and efficiency while respecting clinical workflows and strict privacy requirements.
A lightweight approach to keeping your infrastructure secure, observable, and affordable—without building a full platform engineering team.