Intro to Big Data & Decisions in Healthcare , Plain & Simple

Understand Big Data in Healthcare: Reduce Medical Errors & Improve Patient Care

Medical errors are a serious concern, tragically ranking as the third leading cause of death in the United States. This course explores how Big Data and clinical decision support systems can revolutionize healthcare, potentially reducing medical errors, streamlining processes, and enhancing the overall patient experience.

The Power of Big Data in Healthcare

The healthcare industry generates an enormous and ever-increasing volume of data. This data, streaming from real-time devices, presents significant challenges: how to link it all, ensure accuracy, manage it effectively, and make it readily accessible. This course provides a foundational understanding of how to address these critical issues.

What You Will Learn:

• Fundamentals of Big Data:
  • What is Big Data?
  • The 4Vs of Big Data: Volume, Velocity, Variety, and Veracity.
  • Structured vs Unstructured Data in healthcare.
  • The key challenges of Big Data implementation.
  • Big Data as an Asset for improved healthcare outcomes.
  • Data accuracy, data stewards, and data governance.
  • The power of Big Data for predictive analytics.
  • Understanding the diverse users of Big Data in healthcare.
  • Potential dangers of Big Data and how to mitigate risks.
• Interoperability & Databases:
  • What is a database and its role in healthcare.
  • Addressing data islands and promoting interoperability.
  • Big Data as the foundation for data-driven decisions.
  • The journey from Big Data to actionable insights.
  • The decision-making process using data.
  • Understanding causation vs. correlation in medical data.
  • Real-world examples of Big Data applications:
    • Medical Error Prevention: How data analysis can identify risk factors.
    • Pharmacy Optimization: Improving medication management and reducing errors.
    • Radiology Applications: Enhancing image analysis and diagnostic accuracy.

Course Features:

• Engaging video lectures covering all aspects of Big Data and clinical decision-making.
• A quiz to reinforce your understanding and assess knowledge retention.
• A significant number of resources for deeper exploration of specific topics.

Who Should Take This Course?

This course is ideal for:

• Individuals considering a career in healthcare.
• Those looking to advance their career within the healthcare industry.
• Professionals aiming to expand their healthcare knowledge to improve their current roles and understand the patient care ecosystem.
• Anyone curious about healthcare and eager to learn more about its data-driven future.

My Teaching Approach:

My teaching style is pragmatic and accessible. I assume no prior knowledge and build concepts from the ground up, using numerous examples (both healthcare and non-healthcare) to ensure clear understanding. As reflected in all my courses, I strive for clarity and simplicity – "Plain and Simple."

Why Choose Me as Your Instructor?

I bring 35 years of experience in the designing and launching of medical imaging products and services. My career path includes leadership roles in engineering, marketing (VP), and as President of a Healthcare IT firm. Furthermore, I have 15 years of experience in university teaching, ensuring a well-rounded and effective learning experience.