In this course, you will learn about the importance of measuring the quality of care and health outcomes in order to determine whether Quality Improvement(QI ) initiatives have achieved their aims. You will learn about how data is utilised to identify areas of improvement and the importance of using both quantitative and qualitative data in evaluating change. You will learn about the specific methods appropriate for improvement as distinct from methods more suited to research, including how to design measurement schemes suitable for improvement initiatives
이 강좌는 Quality Improvement in Healthcare 특화 과정의 일부입니다.
제공자:
Quality Improvement in Healthcare 특화 과정임페리얼 칼리지 런던이 강좌에 대하여
최근 조회 1,729회
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 3개 강좌 중 2번째 강좌:
초급 단계
This course builds on ‘Introduction to Quality Improvement in Healthcare’. We recommend that you are familiar with the content of that course.
완료하는 데 약 16시간 필요
영어
자막: 영어
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 3개 강좌 중 2번째 강좌:
초급 단계
This course builds on ‘Introduction to Quality Improvement in Healthcare’. We recommend that you are familiar with the content of that course.
완료하는 데 약 16시간 필요
영어
자막: 영어
직원에게 수요가 높은 기술을 교육하면 회사가 이점을 얻을 수 있습니까?
비즈니스를 위한 Coursera 경험해 보기
제공자:
임페리얼 칼리지 런던
Imperial College London is a world top ten university with an international reputation for excellence in science, engineering, medicine and business. located in the heart of London. Imperial is a multidisciplinary space for education, research, translation and commercialisation, harnessing science and innovation to tackle global challenges.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 4시간 필요
Measurement for Improvement
In this module, you will learn about the importance of measuring quality of care and health outcomes in order to determine whether QI initiatives have achieved their aims. You will learn about how data is utilised to identify areas of improvement and the importance of using both quantitative and qualitative data in evaluating change. You will learn about the specific methods appropriate for improvement as distinct from methods more suited to research, including how to design measurement schemes suitable for improvement initiatives.
완료하는 데 4시간 필요
4개 동영상 (총 33분), 10 개의 읽기 자료, 2 개의 테스트
완료하는 데 5시간 필요
Statistical Process Control – part I
In this module you will learn how to use the methods of statistical process control to distinguish between
완료하는 데 5시간 필요
1개 동영상 (총 6분)
완료하는 데 3시간 필요
Statistical Process Control – part II
In this module you will build on what you learnt previously, expanding the repertoire of methods to
완료하는 데 3시간 필요
1개 동영상 (총 8분), 1 개의 읽기 자료, 1 개의 테스트
완료하는 데 4시간 필요
Qualitative Methods and Theoretical Frameworks in Quality Improvement
In this module, you will learn about the use of qualitative research methods in QI in healthcare. This includes how qualitative methods can be used to drive improvement, and in studying and evaluating improvement. You will learn about the Matching Michigan study, including methods and key findings, as an example of the importance of theory in quality improvement. You will compare three theoretical frameworks for implementation and improvement,
완료하는 데 4시간 필요
3개 동영상 (총 18분), 5 개의 읽기 자료, 2 개의 테스트
Quality Improvement in Healthcare 특화 과정 정보
Health systems worldwide seek to prevent and treat disease and illness and improve well-being and quality of life. This specialisation focuses on improving the quality of the services provided by these systems. The specialisation content is based on the academic literature and research in quality improvement, comprehensively illustrated with real-life practical examples.You will hear from leaders in the field, including a range of guest speakers to support your learning. In this specialisation, you will explore what is meant by quality in healthcare, study approaches to improving quality; and understand what has and has not been learned through scientific study of such approaches to date.
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