The University of Queensland, Brisbane, Australia.
Monash University, Melbourne, Australia.
Stud Health Technol Inform. 2021 May 7;279:70-77. doi: 10.3233/SHTI210091.
Considering the impacts of the COVID-19 pandemic on health service delivery, the US Office for Civil Rights (OCR) updated the policies on health data processing, and Health Insurance Portability and Accountability Act (HIPAA).
In this study, we investigated discourses on HIPAA in relation to COVID-19.
Through a search of media sources in the Factiva database, relevant texts were identified. We applied a text mining approach to identify concepts and themes in these texts.
Our analysis revealed six central themes, namely, Health, HIPAA, Privacy, Security, Patients, and Need, as well as their associated concepts. Among these, Health was the most frequently discussed theme. It comprised concepts such as public, care, emergency, providers, telehealth, entity, use, discretion, OCR, Health and Human Services (HHS), enforcement, business, and services.
Our discourse analysis of media outlets highlights the role of health data privacy law in the response to global public health emergencies and demonstrates how discourse analysis and computational methods can inform health data protection policymaking in the digital health era.
考虑到 COVID-19 大流行对医疗服务提供的影响，美国民权办公室（OCR）更新了医疗数据处理政策以及《健康保险携带和责任法案》（HIPAA）。
在这项研究中，我们调查了与 COVID-19 相关的 HIPAA 方面的论述。
通过在 Factiva 数据库中搜索媒体资源，确定了相关文本。我们采用文本挖掘方法来识别这些文本中的概念和主题。
我们的分析揭示了六个核心主题，即健康、HIPAA、隐私、安全、患者和需求，以及它们相关的概念。其中，健康是讨论最多的主题。它包含公共、护理、紧急情况、提供者、远程医疗、实体、使用、自由裁量权、OCR、卫生与公众服务部（HHS）、执法、业务和服务等概念。
我们对媒体的话语分析强调了健康数据隐私法在应对全球公共卫生紧急情况中的作用，并展示了话语分析和计算方法如何为数字健康时代的健康数据保护政策制定提供信息。
