Industry Perspectives

Use frameworks, KPIs, and automated tools to reduce vendor, device, and patient-data risks in healthcare IT.

Telehealth demands rigorous risk frameworks to protect patient data, secure cloud services, and hold vendors accountable.

Healthcare supply chains are the weakest link in patient data protection, with vendors and devices creating major breach risks.

How HDOs can secure third‑party libraries in medical devices using SBOMs, automated scanning, lifecycle monitoring, and FDA-aligned processes.

Guidelines for HIPAA-compliant cloud audit trails: centralized, tamper-proof logging, PHI minimization, encryption, and regular reviews.

Steps to securely erase PHI from medical devices using NIST 800-88 methods, verification, and compliant vendor practices.

Steps, techniques and tools to de-identify PHI, meet HIPAA, and balance privacy with data utility for healthcare research.

How to discover, track, secure, and govern healthcare IoT devices to reduce breaches, ensure compliance, and cut downtime.

SMART on FHIR OAuth 2.0 standardizes discovery, scopes, PKCE, and token handling to secure and streamline EHR app access.

One year after enforcement, the PATCH Act requires SBOMs, 30-day patches, and lifecycle security while revealing major legacy device risks.

A concise 6-step process to identify ePHI risks, prioritize remediation, and document HIPAA Security Rule compliance.

HIPAA vs HITRUST: legal rules vs voluntary certification—key differences, costs, and when to use each for protecting healthcare data.

ISO 27701:2025 explains how healthcare organizations can protect patient data, manage AI/IoT risks, and simplify privacy audits.

Step-by-step HITECH risk analysis: define ePHI scope, assess threats, prioritize risks, implement safeguards, and document monitoring.

Overview of FDA SBOM rules for Class II/III medical device suppliers, required SBOM elements, timelines, and postmarket updates.

Clear summary of 2026 PHI retention rules: HIPAA's six-year compliance requirement, federal and state record timelines, and disposal best practices.

Compare provider-, customer-, and hybrid key strategies to secure PHI in the cloud, covering control, compliance, cost, and operations.

Why robust AI governance is critical in healthcare: to prevent bias, secure PHI, detect shadow AI, and maintain model performance.

Explains HIPAA's addressable encryption rules, NIST-recommended AES/TLS standards, risk assessments, and compliance steps.

Assign a communications lead, send timely updates, set escalation steps, review effectiveness, and update protocols after healthcare incidents.

Step-by-step guide to map PHI flows, apply STRIDE, prioritize HIPAA risks, embed security in CI/CD, and automate audit evidence.

See what OCR auditors review: risk analysis, safeguards, and BAAs, plus how to prepare with mock audits, training, and risk management tools.

AI speeds and scales detection of systemic cyber risks in healthcare with high accuracy, paired with human oversight to reduce bias.

Cross-domain AI improves healthcare risk scoring by fusing EHRs, IoT, and vendor data for faster, more accurate, privacy-aware insights.