Making Therapy More Data-Driven: A Practical Foundation

presented by Alex Bendersky, PT, DPT

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Disclosure Statement:

Financial: Alex Bendersky receives compensation from MedBridge for this course.

Nonfinancial: Alex Bendersky has no competing nonfinancial interests or relationships with regard to the content presented in this course.

Satisfactory completion requirements: All disciplines must complete learning assessments to be awarded credit, no minimum score required unless otherwise specified within the course.

MedBridge is committed to accessibility for all of our subscribers. If you are in need of a disability-related accommodation, please contact [email protected]. We will process requests for reasonable accommodation and will provide reasonable accommodations where appropriate, in a prompt and efficient manner.

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Video Runtime: 52 Minutes; Learning Assessment Time: 21 Minutes

In healthcare and musculoskeletal care, leveraging data from diverse sources, including health, utilization, and outcome data, is crucial for advancing practices. Modernizing the profession necessitates challenging established practices, and integrating data science is an essential step toward optimization, efficiency, and progress in clinical care, marking the profession's transition into the modern age.

Learning Objectives

Recognize the current shortcomings of data practices and digital transformation efforts in healthcare
Identify how digital transformation experiences from other industries like e-commerce, finance, manufacturing, and transportation can help guide healthcare practice
Identify the core elements of a data strategy suitable to clinical environments and practical first steps
Interpret core applicable concepts in data engineering, data science, machine learning, and AI
Define ethical principles and legal requirements around patient privacy, safety, and human-AI collaboration in healthcare

Meet Your Instructor

Alex Bendersky, PT, DPT

Dr. Bendersky is an innovative clinical and technology leader in musculoskeletal and digital health. With over two decades of experience, Dr. Bendersky currently serves as the director of digital health at Sparta Science, spearheading advanced platforms, language models, and AI to optimize human performance. An advocate of technology and innovation, Dr. Bendersky's mission is to…

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Chapters & Learning Objectives

1. Current State of Data Usage

This chapter includes an introduction to the language and ontology of data science, including simple parameters in legacy data and the emergence of advanced data science.

2. Core Elements of a Clinical Data Strategy

This chapter discusses safety in collecting and handling of healthcare data, including advanced data science and processing parameters.

3. Data Privacy, Security, and Ethics

This chapter provides examples of how integration of data science can enhance and improve the process of care delivery.

4. Data in Action

Creating data-centered clinical care is a multifaceted process with diverse forms and interactions. Small operational changes can unlock opportunities to enhance clinical care.

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