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HAMBA III - Data Analysis for Healthcare Management PDF

Level: 500

Course Description

Healthcare managers that can leverage data analysis make more informed decisions that lead to better outcomes. Data in a healthcare context brings solutions, but also unique challenges that managers must navigate to harness its potential. In this course, students will explore effective management and integration of data-driven decisions in healthcare. By the end, students will be able to strategize and communicate data insights to drive ethical impact in healthcare systems. Learn more at rize.pub/HAMBA-III.

Prerequisites

• None

Course Topics

• Importance of Healthcare Data Analytics
  • Hospitals produce an average of 50 petabytes of data each year, with as much as 97% of that data going unused. 30% of the world’s data volume is generated by the healthcare industry. Healthcare data analytics transforms that raw data into actionable insights that are vital for both macro and micro-level decision-making. At a systems-level, analytics can guide policy, improve population health, and optimize healthcare delivery systems. At the patient level, detailed analysis ensures that care is tailored to individual needs, enhancing treatment effectiveness and patient outcomes. Presenting these insights clearly to clinicians and stakeholders ensures that they can make informed decisions swiftly, improving the quality of care and operational efficiency.
• Data Management and Ethics
  • Cyberattacks on healthcare organizations in 2023 set two new records: the most reported data breaches and the most breached records. Between 2009 and 2023, 5,887 healthcare data breaches of 500 or more records have resulted in the exposure or impermissible disclosure of 519,935,970 healthcare records, more than 1.5x the population of the United States. This brings to light the absolutely critical nature of managing healthcare data ethically and responsibly and understanding patient privacy and HIPAA compliance.
  • A Pennsylvania health system was fined $950,000 in 2024 as a result of HIPAA violations uncovered during the investigation of a ransomware attack. The increasing frequency and severity of cyber threats underscore that compliance with HIPAA is crucial not only to avoid substantial financial penalties but also to maintain patient trust and ensure quality care.
• Electronic Health Records (EHR) Systems:
  • Understanding EHR systems is crucial for leveraging their data in operational and clinical decision-making, which enhances patient care, improves efficiency, and supports informed management decisions in healthcare.
  • With 96% of US hospitals using an EHR system, future managers will be expected to field questions about EHR systems and their challenges. What measures are in place to protect against data breaches and comply with regulations like HIPAA? How can we train staff effectively to use the EHR system to its full potential? How do we measure the return on investment (ROI) for the EHR system in terms of improved patient outcomes and operational efficiencies?
• Developing Dashboards for Healthcare Management
  • Equally as important as data analytics is the ability of managers to communicate that data in a way that makes sense to decision-makers and drives impact. Dashboards provide real-time access to critical data, enabling healthcare managers to make informed decisions quickly, optimize resources, and streamline operational efficiency. This course will cover best practices for dashboard design in healthcare settings.
  • By tracking key performance indicators and ensuring adherence to regulatory standards, dashboards that show system-level data help detect issues early, implement targeted interventions, and maintain high-quality care, ultimately enhancing patient outcomes and supporting regulatory compliance.
• Case Studies in Healthcare Data Analysis
  • Case studies in healthcare data analysis are crucial for aspiring managers. Offering real-world examples of data-driven decision-making and demonstrating its direct impact on patient outcomes and operational efficiency, diverse case studies expose managers to effectively address complex challenges in healthcare systems.

Here are some examples of professional questions in healthcare management this course will help prepare you to consider:

• What key metrics should be presented to management on a regular basis and how?
• How best can partners of a healthcare system, such as nursing homes and independent physician practices, be linked to the system’s EHR (Electronic Health Record)?
• How can EHR data be best presented to clinicians so that they can make the best decisions for patients?

Learning Objectives and Outcomes

| Behavioral outcomes