The Pii Data Science Blog

Healthcare organizations are adopting digital health technologies at unprecedented pace, but true interoperability remains elusive. Here's the operational framework for achieving seamless EHR integration that actually works in practice.

Precision oncology promises individualized treatment based on tumor genomics. The reality: most healthcare organizations lack the infrastructure to operationalize it. Here's what works.

Move beyond the buzzwords — here's how healthcare organizations are actually operationalizing biomarker-driven oncology workflows, from genomics data integration to fusion detection quality gates in NGS pipelines.

Precision medicine is transforming cancer care delivery, but the gap between genomic data generation and clinical implementation remains a critical bottleneck for many oncology programs.

Healthcare organizations are adopting digital health technologies at an unprecedented pace — but integration with existing EHR systems lags behind, creating data silos that undermine care quality and operational efficiency.

Healthcare organizations are prioritizing outcome measurement more than ever — but measuring isn't improving. Here's the operational framework data science teams are using to turn patient outcomes from dashboard metrics into measurable reality.

Pathology and diagnostics labs face a data fragmentation problem that consumer AI tools can't solve. Here's how we helped a mid-size lab unify billing, clinical, and consumer data — and cut reporting time from days to hours.

Healthcare technology leaders are solving the data integration problem by connecting EHR systems, multi-environment databases, and bioinformatics platforms into coherent pipelines. But how do you build infrastructure that actually serves clinicians without creating new silos? Here's what modern architectures look like.

Bioinformatics teams are increasingly formalizing pipeline support into quarterly cadences rather than ad-hoc firefighting. But how do you structure maintenance that actually prevents failures without adding headcount? Here's the operational framework modern labs need.

Healthcare executives are prioritizing outcome measurement and patient experience like never before. But how do you turn data-driven insights into measurable improvements in care coordination, population health, and patient satisfaction? Here's what's actually working.

Gartner predicts that by end of 2026, 40% of enterprise apps will embed task-specific AI agents. We're at the inflection point between experiment and execution — here's how to navigate it without burning budget.

Most organizations have an AI strategy. Far fewer have AI in production. Deloitte's 2026 report reveals a growing chasm between ambition and execution — here's how to close it.

August 2, 2026 marks the full enforcement of the EU AI Act. With Colorado's AI Act hitting in June, the compliance wave is here. Private AI isn't optional anymore — it's mandatory.