Blog
Insights on AI, security, software architecture, and building what's next for ambitious businesses.
1018 articles · Page 17 of 51
Apache Superset for General Insurers: Claims Triangles, Loss Ratios, GWP Dashboards
Build claims triangles, loss ratio dashboards, and GWP analytics in Apache Superset. Complete guide for general insurers with real-world examples.
Claims Intake Agents: From PDF to Claims System Without Humans
Build autonomous claims intake agents that read PDFs, photos, emails using Claude Opus 4.7 and populate claims systems with audit trails for regulators.
Genomics Data on D23.io: Iceberg + Trino + Superset for Petabyte Workloads
Build petabyte-scale genomics analytics on D23.io with Apache Iceberg, Trino & Superset. Architecture, partitioning, governance & Claude-assisted queries.
Healthcare CFO Dashboards: CMI, Length-of-Stay, Casemix on D23.io
Master healthcare CFO dashboards covering case mix index, ALOS, contribution margin, and theatre utilisation on D23.io's managed Superset platform.
Hospital Workforce Planning Dashboards: Rosters, Locums, Agency Spend
Master hospital workforce planning dashboards. Track rosters, locum spend, and agency trends. Real-time visibility for Australian health systems.
Medical Imaging Pipelines: When Vision Models Beat Specialist Tools
Discover when Claude Opus 4.7's vision capabilities outperform dedicated medical imaging tools—and where specialist models still win. Real-world workload analysis.
Pharma Sales Rep Enablement: Opus 4.7 + Veeva MCP Patterns
Build AI-driven pharma rep enablement with Claude Opus 4.7 and Veeva MCP. Prep HCP visits, surface compliant talking points, log activity into Veeva via MCP.
Population Health Analytics for AU PHNs on Apache Superset
Complete guide to deploying Apache Superset for Australian PHNs. Consolidate MBS, PBS, and clinical data into governed dashboards under AIHW rules.
Specialty Clinic SaaS: Embedding Superset Dashboards With JWT Auth
Guide to embedding Apache Superset dashboards in specialty clinic SaaS using JWT auth, tenant-scoped RLS, and D23.io managed authentication for secure multi-tenant analytics.
Underwriting Automation: Claude Opus 4.7 for SME Commercial Lines
Learn how Claude Opus 4.7 automates SME commercial insurance underwriting: triage, missing info requests, pricing recommendations with underwriter-in-the-loop.
Veterinary Practice Management: Claude Agents for Mid-Market Vet Groups
How mid-market vet groups use Claude agents for appointment confirmations, reminders, and follow-ups. Replace junior staff time, cut costs, ship in weeks.
Aged Care Documentation Automation With Claude Opus 4.7
Automate aged care progress notes, ACFI/AN-ACC assessments & incident reports with Claude Opus 4.7. Reviewer-in-the-loop patterns auditors accept under Aged Care Quality Standards.
AI for Radiology Reporting in AU: TGA Pathways and Production Patterns
Guide to deploying Claude Opus 4.7 in Australian radiology. TGA SaMD classification, validation, human-in-the-loop reporting, and production patterns for compliance.
Australian Aged Care Royal Commission Reporting in D23.io
Master Royal Commission reporting for aged care. Learn how D23.io and Superset consolidate quality, clinical, and workforce data for audit-ready compliance.
Clinical Trial Recruitment Agents: Claude Opus 4.7 in Pharma
Deploy agentic AI for clinical trial recruitment. Learn how Claude Opus 4.7 reads EMR cohorts, screens eligibility, and accelerates patient enrolment with HREC-compliant gates.
D23.io for Health Insurers: Claims Analytics That Actually Move Loss Ratios
How D23.io's Superset stack helps AU & US health insurers expose claims analytics to actuaries, reducing loss ratios by 100-200 bps per hold period.
HIPAA + Privacy Act Dual Compliance for Claude Deployments
Architect HIPAA + Privacy Act compliant Claude deployments. Mandatory controls, data flows, and non-negotiable decisions for health-tech vendors.
Healthcare Revenue Cycle Management: Where Agents Beat RPA
Claude agents outperform UiPath and Blue Prism in healthcare RCM. Denials management, coding queries, patient billing—with break-even economics.
Hospital Discharge Summary Generation: Opus 4.7 vs GPT-5.5 Accuracy Benchmarks
Compare Opus 4.7 and GPT-5.5 on clinical accuracy, completeness, and edit distance across 1,000 Australian hospital discharge summaries.
Medical Device Field Service Automation With Claude Computer Use
Build AI-powered field service automation for medical devices using Claude Opus 4.7 computer use. Triage tickets, query legacy ERPs, dispatch engineers.