Framework For Electronic Health Record Sharing And Health Data Analytics
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- 作者： Indra,Priyadharshini S 追蹤 ? 追蹤作者後，您會在第一時間收到作者新書通知。
- 出版社： Ingram 追蹤 ? 追蹤出版社後，您會在第一時間收到出版社新書通知。
- 出版日：2023/05/21
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台灣
- 國內宅配：本島、離島
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海外
- 國際快遞：全球
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內容簡介
The Framework for Electronic Health Record (EHR) Sharing and Health Data Analytics is a comprehensive system designed to facilitate the secure exchange of health records among healthcare providers and enable advanced data analytics for improved patient care and healthcare outcomes. This framework encompasses the integration of electronic health records, data sharing protocols, and sophisticated analytics tools. At its core, the framework focuses on establishing standardized protocols and interoperability standards to enable seamless sharing of EHRs among different healthcare entities. By promoting the secure and efficient exchange of patient information, healthcare providers can access comprehensive and up-to-date medical records, leading to enhanced care coordination, reduced medical errors, and improved patient safety.
Furthermore, the framework incorporates robust health data analytics capabilities, allowing healthcare organizations to extract valuable insights and patterns from vast amounts of structured and unstructured data. Through advanced analytics techniques, such as machine learning and data mining, healthcare professionals can identify trends, predict disease outbreaks, optimize treatment protocols, and personalize patient care plans. These analytics-driven insights have the potential to revolutionize healthcare delivery, research, and population health management. The Framework for EHR Sharing and Health Data Analytics also addresses important considerations of privacy, security, and data governance. It ensures that patient data is handled with utmost confidentiality and in compliance with relevant regulations, such as data protection laws and healthcare privacy standards.
By implementing this framework, healthcare organizations can leverage the power of electronic health records and data analytics to drive evidence-based decision-making, improve clinical outcomes, and enhance the overall quality and efficiency of healthcare delivery. The framework serves as a foundation for building a connected healthcare ecosystem, fostering collaboration among providers, and ultimately benefiting patients by enabling comprehensive and data-driven care.
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