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HITRUST Cybersecurity Framework Gets 2023 Update

HIPAA Journal

The information risk management, standards, and certification body, HITRUST, has announced that it will be releasing a new version of its popular cybersecurity framework this month. The post HITRUST Cybersecurity Framework Gets 2023 Update appeared first on HIPAA Journal.

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HITRUST Cybersecurity Framework Gets 2023 Update

HIPAA Journal

The information risk management, standards, and certification body, HITRUST, has announced that it will be releasing a new version of its popular cybersecurity framework this month. The post HITRUST Cybersecurity Framework Gets 2023 Update appeared first on HIPAA Journal.

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Vendor Risk Management in Healthcare ––What It Is and Why It Matters

Healthcare IT Today

Worse, these attacks are sometimes threatening patient safety, and causing regulatory non-compliance with HIPAA because of lost or stolen data. Vendor inventories need to be continually updated, and tiered based on criticality, impact and compliance exposure.

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Top Security Certifications Required for Data Protection

HIT Consultant

A lack of regulatory compliance, network and technical vulnerabilities, unencrypted information, unsecured mobile devices, and weak credentials all play a part in putting a healthcare organization at risk for a data breach. Paul Banco, CEO of etherFAX    How secure is your data?

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AWS physician expert talks new use cases for telehealth, machine learning, cloud

Healthcare IT News - Telehealth

Security and privacy are a top priority for organizations and agencies dealing with telehealth, due to federal regulatory and compliance frameworks such as HIPAA, HITRUST and the Federal Risk and Authorization Management Program (FedRAMP).

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SQA Regulatory Surveillance Summary | Monthly Update 2022 – July/August

SQA

The entire shipment, which contained 435 boxes of the 25-pack, was sent to Health Canada for compliance follow-up. ISO/IEC 23053:2022: Framework for Artificial Intelligence (AI) Systems Using Machine Learning (ML), June 2022. ISO/IEC 23053:2022 establishes an Artificial Intelligence (AI) and Machine Learning (ML) framework for describing a generic AI system using ML technology. The framework describes the system components and their functions in the AI ecosystem.

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