Analytics in Healthcare Management and Administration

Analytics in Healthcare Management and Administration

Instructor: Martin Kohn

Access provided by ExxonMobil

9,844 already enrolled

4 modules

Gain insight into a topic and learn the fundamentals.

39 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

39 reviews

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

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Assessments

23 assignments

Taught in English

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There are 4 modules in this course

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.

What's included

6 videos15 readings5 assignments2 discussion prompts

6 videosTotal 30 minutes

Meet your faculty: Martin Kohn1 minute
Root Cause Analysis (RCA) and Failure Mode and Effects Analysis (FMEA)7 minutes
Adverse Events8 minutes
Standards and Reporting3 minutes
Model to Identify Delay Causes5 minutes
Investigating Delay Causes7 minutes

15 readingsTotal 132 minutes

Welcome to Analytics in Healthcare Management and Administration1 minute
Providing Mayo Insights: Dr. Devkaran5 minutes
Syllabus 10 minutes
Course Project Overview2 minutes
Module Overview2 minutes
Analytic Tools to Help Improve Quality2 minutes
Analytics Tools and System Measures: RCA Steps5 minutes
Analytics Tools and System Measures: FMEA Steps5 minutes
Analytics Tools and System Measures: Whole System Measures2 minutes
Lesson Readings25 minutes
Adverse Events3 minutes
Lesson Readings30 minutes
Process Mapping to Identify Challenges3 minutes
Lesson Readings35 minutes
Summary2 minutes

5 assignmentsTotal 16 minutes

Question to Consider2 minutes
Check Your Knowledge3 minutes
Check Your Knowledge2 minutes
Check Your Knowledge2 minutes
Module Quiz 7 minutes

2 discussion promptsTotal 110 minutes

Meet Your Fellow Learners20 minutes
Project Part 1: Quality Issue Selection90 minutes

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.

What's included

5 videos9 readings5 assignments1 peer review

5 videosTotal 29 minutes

Components of Continuity6 minutes
Accountable Care Organizations6 minutes
Patient-Centered Medical Home (PCMH)6 minutes
Bring Continuity to Patient's Home8 minutes
Measuring Continuity and Obstacles2 minutes

9 readingsTotal 81 minutes

Module Overview1 minute
Project Part 2: Quality Analysis Report Preview1 minute
Components of Care Continuity3 minutes
Lesson Readings24 minutes
Organizational Models to Achieve Continuity4 minutes
Lesson Readings20 minutes
Care Continuity Beyond the Hospital or Clinician3 minutes
Lesson Readings15 minutes
Summary10 minutes

5 assignmentsTotal 12 minutes

Question to Consider1 minute
Check Your Knowledge2 minutes
Check Your Knowledge2 minutes
Check Your Knowledge2 minutes
Module Quiz5 minutes

1 peer reviewTotal 180 minutes

Project Part 2: Quality Analysis Report180 minutes

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.

What's included

8 videos12 readings6 assignments2 discussion prompts

8 videosTotal 43 minutes

Structure and Value of RCT4 minutes
Limitations of Traditional Guidelines5 minutes
Number Needed to Treat (NNT)6 minutes
New Data Evidence2 minutes
Precision Medicine5 minutes
The Future of Clinical Decision Support7 minutes
Mayo Clinic on Personalized Care7 minutes
Outcomes of Value7 minutes

12 readingsTotal 99 minutes

Module Overview2 minutes
Project Part 3: Improvement Achievement Report Preview1 minute
Structure and Value of RCTs2 minutes
Lesson Readings25 minutes
Individual Decision-Making and New Data2 minutes
Lesson Readings27 minutes
Personalization Techniques and Data2 minutes
The 5 Ps of Successful Analytics and Clinical Decision Support1 minute
Lesson Readings25 minutes
Summary2 minutes
Outcomes of Value2 minutes
Lesson Reading8 minutes

6 assignmentsTotal 10 minutes

Question to Consider1 minute
Check Your Knowledge1 minute
Check Your Knowledge1 minute
Check Your Knowledge1 minute
Module Quiz 5 minutes
Honors Quiz1 minute

2 discussion promptsTotal 120 minutes

Making Healthcare More Personalized: PROM Surveys60 minutes
Identifying and Assessing Outcomes of Value60 minutes

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.