Analytics in Healthcare Management and Administration

Analytics in Healthcare Management and Administration

位教师：Martin Kohn

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4个模块

深入了解一个主题并学习基础知识。

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2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

4个模块

深入了解一个主题并学习基础知识。

39 条评论

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

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作业

23 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

该课程共有4个模块

This course is the continuation of Healthcare Analytics Essentials . If you have not yet taken the Healthcare Analytics Essentials course, it is recommended that you complete that course prior to this course. The foundational knowledge to support the project are carried through in this deeper dive into using healthcare analytics in management and administration.

This course provides you the opportunity to learn about how business analytics can improve the health organization performance and ways to identify and address issues that affect patient care. You will explore the components of care continuity, the strategies used to achieve continuity, and the characteristics of patient-centeredness. You will also review the structure and value of the randomized controlled trial and the need for decision-making at the individual level. Finally, you will learn about systems in healthcare, the 6Cs of systemness, and the five common properties of complex systems and the framework to create change.

In this module you will learn about how business analytics can improve the health organization performance, including the common tools used to identify causes of problems that affect patient quality, the incidence and impact of adverse events, and the application of process mapping to help identify areas for bottlenecks and delays in patient care or patient flow.

涵盖的内容

6个视频15篇阅读材料5个作业2个讨论话题

6个视频总计30分钟

Meet your faculty: Martin Kohn 1分钟
Root Cause Analysis (RCA) and Failure Mode and Effects Analysis (FMEA) 7分钟
Adverse Events 8分钟
Standards and Reporting 3分钟
Model to Identify Delay Causes 5分钟
Investigating Delay Causes 7分钟

15篇阅读材料总计132分钟

Welcome to Analytics in Healthcare Management and Administration 1分钟
Providing Mayo Insights: Dr. Devkaran 5分钟
Syllabus 10分钟
Course Project Overview 2分钟
Module Overview 2分钟
Analytic Tools to Help Improve Quality 2分钟
Analytics Tools and System Measures: RCA Steps 5分钟
Analytics Tools and System Measures: FMEA Steps 5分钟
Analytics Tools and System Measures: Whole System Measures 2分钟
Lesson Readings 25分钟
Adverse Events 3分钟
Lesson Readings 30分钟
Process Mapping to Identify Challenges 3分钟
Lesson Readings 35分钟
Summary 2分钟

5个作业总计16分钟

Module Quiz 7分钟
Question to Consider 2分钟
Check Your Knowledge 3分钟
Check Your Knowledge 2分钟
Check Your Knowledge 2分钟

2个讨论话题总计110分钟

Meet Your Fellow Learners 20分钟
Project Part 1: Quality Issue Selection 90分钟

In this module you will learn about the components of care continuity, the strategies used to achieve continuity, the characteristics of patient-centeredness, the programs in place for improving the structure of continuity and patient centeredness, and the opportunities to extend patient care beyond the hospital and the clinician’s office.

涵盖的内容

5个视频9篇阅读材料5个作业1次同伴评审

5个视频总计29分钟

Components of Continuity 6分钟
Accountable Care Organizations 6分钟
Patient-Centered Medical Home (PCMH) 6分钟
Bring Continuity to Patient's Home 8分钟
Measuring Continuity and Obstacles 2分钟

9篇阅读材料总计81分钟

Module Overview 1分钟
Project Part 2: Quality Analysis Report Preview 1分钟
Components of Care Continuity 3分钟
Lesson Readings 24分钟
Organizational Models to Achieve Continuity 4分钟
Lesson Readings 20分钟
Care Continuity Beyond the Hospital or Clinician 3分钟
Lesson Readings 15分钟
Summary 10分钟

5个作业总计12分钟

Module Quiz 5分钟
Question to Consider 1分钟
Check Your Knowledge 2分钟
Check Your Knowledge 2分钟
Check Your Knowledge 2分钟

1次同伴评审总计180分钟

Project Part 2: Quality Analysis Report 180分钟

In this module, you will learn about the structure and value of the randomized controlled trial, the need for decision making at the individual level and for new kinds of data and evidence to support this type of decision-making, the application of artificial intelligence and machine learning to help move toward personalized healthcare, and the importance of choosing outcomes of value to the patient.

涵盖的内容

8个视频12篇阅读材料6个作业2个讨论话题

8个视频总计43分钟

Structure and Value of RCT 4分钟
Limitations of Traditional Guidelines 5分钟
Number Needed to Treat (NNT) 6分钟
New Data Evidence 2分钟
Precision Medicine 5分钟
The Future of Clinical Decision Support 7分钟
Mayo Clinic on Personalized Care 7分钟
Outcomes of Value 7分钟

12篇阅读材料总计99分钟

Module Overview 2分钟
Project Part 3: Improvement Achievement Report Preview 1分钟
Structure and Value of RCTs 2分钟
Lesson Readings 25分钟
Individual Decision-Making and New Data 2分钟
Lesson Readings 27分钟
Personalization Techniques and Data 2分钟
The 5 Ps of Successful Analytics and Clinical Decision Support 1分钟
Lesson Readings 25分钟
Summary 2分钟
Outcomes of Value 2分钟
Lesson Reading 8分钟

6个作业总计10分钟

Module Quiz 5分钟
Honors Quiz 1分钟
Question to Consider 1分钟
Check Your Knowledge 1分钟
Check Your Knowledge 1分钟
Check Your Knowledge 1分钟

2个讨论话题总计120分钟

Making Healthcare More Personalized: PROM Surveys 60分钟
Identifying and Assessing Outcomes of Value 60分钟

In this module you will learn about the concepts of a system, the 6Cs of systemness, the principles of system design, the five common properties of complex systems and the framework to create change.