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HIPAA

Q: HIPAA 最近有什么新动态？

traeai 已收录 6 篇与 HIPAA 相关的内容。最新一篇是「ABAC row filtering and column masking policies, governed tags, and data classification are now generally available in Unity Catalog」，由 Databricks 发布。

别名：Health Insurance Portability and Accountability Act

美国健康保险可携性和责任法案，对医疗数据隐私有要求。

已跟踪 6 条高相关材料

TraeAI 观察

如果只读 3 篇

ABAC row filtering and column masking policies, governed tags, and data classification are now generally available in Unity Catalog

Databricks · 9 分

Databricks 在 Unity Catalog 中推出了 ABAC 行过滤和列屏蔽策略、治理标签和自动数据分类功能，实现了动态的数据保护和治理。

How to Build an AI-Powered Medical Image De-Identification Pipeline for Clinical Research

freeCodeCamp.org · 8.7 分

本文系统介绍了如何构建一个基于AI的医学影像去标识化（de-identification）流水线，通过OCR+NER+DICOM处理三重机制，自动移除DICOM图像中元数据与像素内嵌的患者身份信息（PHI），满足HIPAA合规要求。

The Hidden PHI Problem in Medical Images: Building a Synthetic Dataset for AI De-Identification

freeCodeCamp.org · 8.5 分

合成 PHI 数据集可解决医疗图像 AI 去标识化训练中的隐私与数据稀缺问题，提升模型性能。

General Availability of ABAC Row Filtering and Column Masking Policies, Governed Tags, and Data Classification in Unity Catalog

Databricks5月14日1803 字 (约 8 分钟)

Databricks has announced the general availability of three complementary capabilities in Unity Catalog: Attribute-Based Access Control (ABAC) policies for row filtering and column masking, governed tags, and agentic data classification, enabling dynamic, standardized, and automated data governance.

入选理由：Databricks 推出了 ABAC 策略，实现了一次定义多次应用的数据访问控制。

FeaturedArticle#Unity Catalog#ABAC#Data Governance#Automated Classification中英混合

How to Build an AI-Powered Medical Image De-Identification Pipeline for Clinical Research

freeCodeCamp.org5月23日1626 字 (约 7 分钟)

This article systematically introduces how to build an AI-powered medical image de-identification pipeline that removes PHI from both DICOM metadata and burned-in pixel text via OCR + NER + DICOM processing, ensuring HIPAA compliance.

入选理由：使用EasyOCR检测DICOM图像像素中烧录的文本（burned-in text），再用Stanford NER模型（stanford-deidentifier-base）分类PHI与非PHI。

FeaturedArticle#Medical Imaging#HIPAA Compliance#De-identification#DICOM#MONAI英文

The Hidden PHI Problem in Medical Images: Building a Synthetic Dataset for AI De-Identification

freeCodeCamp.org6月20日2845 字 (约 12 分钟)

合成 PHI 数据集可解决医疗图像 AI 去标识化训练中的隐私与数据稀缺问题，提升模型性能。

入选理由：使用 OpenPOCUS 提供的真实超声图像作为合成 PHI 数据的基础，确保隐私安全。

FeaturedArticle#医疗AI#数据隐私#合成数据#HIPAA#DICOM英文

Scaling oncology patient support: How New York Cancer and Blood Specialists transformed customer experience with AWS and Pronetx, now part of Caylent

AWS Architecture Blog6月1日1119 字 (约 5 分钟)

NYCBS migrated to Amazon Connect with AWS and Pronetx (now Caylent), achieving 54% faster patient enrollment and building a 3-tier HIPAA-compliant contact center supporting 100+ specialized queues.

入选理由：迁移至Amazon Connect后，患者入组效率提升54%，年处理25万+患者电话。

FeaturedArticle#AWS#Amazon Connect#Healthcare IT#HIPAA Compliance#Cloud Contact Center英文

Amazon Nova Act is now HIPAA eligible

AWS Machine Learning Blog5月21日684 字 (约 3 分钟)

Amazon Nova Act now qualifies as a HIPAA eligible service, enabling healthcare organizations to automate workflows involving ePHI with compliant AI agents.

入选理由：HIPAA compliance allows Nova Act to process ePHI for tasks like appointment scheduling and insurance verification in healthcare portals.

FeaturedArticle#Amazon Nova Act#HIPAA#Healthcare Automation#AWS英文

Notion killing Skiff-influenced email app since most users use AI agents instead

Ars Technica6月26日635 字 (约 3 分钟)

Notion 停止 Notion Mail 服务，转向 AI 代理处理邮件，因多数用户已使用 AI 代理替代传统邮件客户端。

入选理由：Notion Mail 服务将于 2026 年 9 月 22 日关闭，用户需在 9 月 21 日前导出数据。

FeaturedArticle#Notion#AI 代理#邮件客户端#Skiff#Gmail英文

跨材料问答 · HIPAA

回答基于：HIPAA 相关 6 条材料