Advancing the Industry: Using Data to Improve Therapy
Presented by Alex Bendersky
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The musculoskeletal community faces a critical challenge in grasping and capitalizing on the capabilities of current and evolving technologies. Data is at the heart of this technological realm, acting as the cornerstone for innovation. The transformative potential lies in harnessing data as a central and invaluable source of information within the MSK discipline. By adeptly leveraging data, traditional practices in musculoskeletal healthcare can undergo a substantial modernization, fostering advancements in diagnostics, treatment strategies, and overall patient care. Integrating data-driven insights empowers healthcare professionals with a more comprehensive understanding of MSK conditions and paves the way for personalized and targeted interventions. As the MSK community embraces the potential embedded in data-centric technologies, it can usher in a new era of healthcare delivery, marked by enhanced efficiency, improved patient outcomes, and a deeper understanding of the intricate dynamics within the musculoskeletal system.
Learning Objectives
- Identify the untapped potential of data for therapy improvement and how digital technologies have transformed other industries
- Examine the unique challenges that have limited digital transformation progress in healthcare domains
- Highlight examples of where data and AI are currently impacting healthcare
- Identify the key enabling digital technologies that will shape the future of therapy delivery and the ways they may reshape therapy delivery
Meet your instructor
Alex Bendersky
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…
Chapters & learning objectives
1. How Has Digital Transformation Impacted Other Industries?
In this chapter, we will explore the significant effects of digital advancements on commerce, transportation, and manufacturing. Key topics include personalized recommendations, predictive analytics, and fraud detection in e-commerce; route optimization, predictive maintenance, and demand forecasting in transportation; and quality control, supply chain optimization, and automation in manufacturing.
2. Change Is Happening in Healthcare
The chapter addresses the lag in healthcare data adaptation compared to other industries, citing various factors contributing to this discrepancy. It emphasizes the crucial recognition that the pace of technological and innovative advancements surpasses the conventional academic research model. The key insight is the need for healthcare to optimize technology adoption by embracing valid and capable technical solutions and understanding their profound impact on operational efficiency and clinical performance. In essence, the chapter advocates for a proactive approach to integrating cutting-edge technology into healthcare practices to keep pace with the rapid evolution of the tech landscape.
3. What Might a Data-Powered Therapy Future Look Like?
This chapter will review how, by taking cues from other industries, healthcare can gain substantial benefits by leveraging data to enhance efficiency, optimize value-based care delivery, and gain deeper insights into the clinical process. A heightened level of knowledge and awareness regarding the clinical process can improve the quality and efficiency of care delivery.
4. Next Steps in the Industry
In this chapter, we will explore the effects of establishing a robust foundation centered around data-focused practices. This approach marks a transformative shift and lays the groundwork for continuous advancements in healthcare practices.
