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
Using Data for Healthcare Improvement
Ce cours fait partie de Spécialisation Quality Improvement in Healthcare
Instructeur : Dr Thomas Woodcock
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Il y a 4 modules dans ce cours
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.
Inclus
4 vidéos10 lectures2 devoirs1 plugin
In this module you will learn how to use the methods of statistical process control to distinguish between variation due to changes in the underlying process of care and variation that is part of this process, including how to distinguish when variation in a measure constitutes evidence of improvement in care. You will use the statistical software package R to analyse real time series data using Shewhart charts, and learn to interpret and act on the results. Example data is taken from a project screening for Atrial Fibrillation in an at risk population, and data on time spent in the accident and emergency department
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1 vidéo2 devoirs5 laboratoires non notés
In this module you will build on what you learnt previously, expanding the repertoire of methods to cover additional types of data frequently encountered in quality improvement.
Inclus
1 vidéo1 lecture1 devoir2 laboratoires non notés
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, identifying their strengths and weaknesses, and use a tool designed to aid framework selection.
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3 vidéos5 lectures2 devoirs2 sujets de discussion
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Imperial College London
Imperial College London
Northeastern University
Google Cloud
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