Health Informatics for Healthcare Professionals

所在平台: Coursera

课程主页: https://www.coursera.org/learn/health-informatics-for-healthcare-professionals

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课程简介

课程名称：医疗信息学为医疗专业人员 概述：本课程主要适合目前在医疗行业工作的人员，包括提供者、支付者或管理员。希望转行进入医疗行业的人士也会对此课程感兴趣。在课程中，您将有机会探索与健康信息系统的设计和管理相关的概念和主题。 课程简介：在介绍医疗信息系统的历史和现状后，您将探讨以下几个核心领域。 课程大纲： 1. **健康信息技术进入新时代** - 描述：科技在医疗领域产生了巨大变化。从患者记录的起源到云计算技术的开发，再到可穿戴设备和人工智能，数据收集的目的不断演变。在此模块中，我们将探讨云计算和数据科学的历史。随着健康信息系统的变化，对更加专业的健康信息技术领导角色的需求也在增加。您将研究不同角色及其在组织发展和战略规划过程中的独特责任。结束此模块后，您将深入理解医疗信息学的历史及其对未来医疗景观的影响。 2. **医疗行业的数据标准** - 描述：随着医疗领域的数据收集不断增长并扩展到基本信息的存储与检索之外，行业标准化的必要性变得尤为重要。在此模块中，您将探讨三种主要的数据标准及医疗生态系统中使用的数据词汇类型。 3. **医疗行业的数据共享与存储** - 描述：在本模块中，您将继续学习数据标准，重点关注各类标准化倡议，如FHIR和DICOM，并了解这些倡议如何改变当前医疗数据的存储方式。您还将反思标准、数据存储方式与自然语言处理之间的关系，以及这三者如何结合以开发未来能够帮助组织提供更好患者护理的模型。 4. **重新构想临床决策支持系统** - 描述：在本模块中，您将深入探讨健康信息系统，重点关注临床决策支持（CDS）系统。这些系统可以为临床医生提供价值，提高生产力，支持临床流程。然而，整合这些系统也带来了挑战与复杂性。您将探讨在医疗组织中整合CDS系统的好处与挑战，比较不同的数据存储与控制方法。最后，您将了解全球算法注册的概念及其对信息系统未来的可能影响。 本课程为参与医疗专业人士提供了深入的视角，帮助他们理解和应对健康信息技术的不断变化和挑战。

课程大纲

Name:Health IT Enters a New Era

Description:Technology has transformed the healthcare landscape in so many ways. From the origins of the patient record to the development of cloud computing technologies, to wearables and artificial intelligence, the purpose of data collection has evolved. In this module, we will explore the history of cloud computing and data science. As health information systems change, so does the need for more specialized health IT leadership roles within organizations. You will examine these different roles and unique responsibilities each has in the organization’s development and strategic planning process. By the end of this module, you will have a firm understanding of the history of health informatics and how these technologies have shape the healthcare landscape of the future.

Name:Data Standards in Healthcare

Description:As data collection in healthcare continued to grow and expand beyond simple storage and retrieval of basic information, the need for standardization across the healthcare industry became imperative. In this module, you will explore the three main types of data standards and the types of data vocabularies that are used throughout the healthcare ecosystem.

Name:Data Sharing and Storage in Healthcare

Description:In this module you will continue to learn about data standards, shifting focus to follow the various standardization initiatives such as FHIR and DICOM and how these initiatives were able to transform how healthcare data is presently stored. You will also reflect upon the relationship between standards, data storage modalities, and natural language processing and how the three can be used to develop models for the future that will help organizations provide better patient care.

Name:Reinventing Clinical Decision Support Systems

Description:In this module, you will dive further into exploring health information systems, now focusing on clinical decision support (CDS) systems. These systems can provide value to clinicians, increasing productivity and supporting clinical processes. With incorporation of these systems, can also bring challenges and complexities. In this module you will explore the benefits and challenges of integrating CDS systems in the healthcare organization. Then you will compare different approaches to storing and controlling data collections. Finally, you will be introduced to the idea of a global algorithm registry and what it could mean for the future of information systems.

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