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presented by Alex Bendersky, PT, DPT
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.
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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…
Read full bio1. 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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