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Data Value in Patient Tracking Systems at Racing Events.

Colleen Ross1, Mehmet Başdere, Jennifer L Chan

  • 11Department of Industrial Engineering and Management Sciences, McCormick School of Engineering, Northwestern University, Evanston, IL; 2Center for Engineering and Health, Institute for Public Health and Medicine, Northwestern University, Evanston, IL; 3Department of Emergency Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL; and 4Bank of America Chicago Marathon and Shamrock Shuffle, Chicago, IL.

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Real-time patient tracking systems (PTS) can enhance marathon data collection, offering more accurate and detailed information than paper forms. Implementing standardized data collection improves event operations and predictive modeling.

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Area of Science:

  • Sports Medicine
  • Health Informatics
  • Event Management Technology

Background:

  • Growing popularity of long-distance running events necessitates improved participant tracking.
  • Optimizing runner and spectator experience requires understanding participant status in real-time.
  • Electronic tracking systems can address dynamic needs of event communities.

Purpose of the Study:

  • Examine the value of real-time patient tracking systems (PTS) at marathons.
  • Evaluate the Chicago Medical Patient Tracking System (CMPTS) as a model for event tracking.
  • Assess the potential for improved data collection and operational decision-making at mass-gathering events.

Main Methods:

  • Analyzed data from CMPTS and course timing mats for two races (2012-2013).
  • Evaluated data completeness and value from electronic tracking.
  • Compared medical data collected by PTS with traditional paper forms.

Main Results:

  • Patient tracking systems (PTS) demonstrate potential for capturing more accurate and detailed medical information.
  • Paper forms frequently lack crucial time or diagnosis data.
  • Electronic tracking offers superior data quality compared to manual methods.

Conclusions:

  • Propose best practices for marathon tracking applications and data collection based on CMPTS.
  • Standardized data collection at mass-gathering events can enhance PTS data sets.
  • Improved data facilitates better operational decisions and predictive modeling for event preparedness.