CE Hours: 1.5

Seq# 257 - Electronic Data Capture and Management for Clinic and Research

Symptoms for which patients seek diagnosis and treatment by dental care providers vary among individuals. In the context of orofacial pain, the differential symptom burden commonly entails a wide spectrum ranging from masticatory dysfunction and pain interference to pain catastrophizing, emotional distress, and sleep disturbance etc. Thus, individuals seeking care vary greatly in their subjective complaints, personal histories, comorbid conditions and physical findings. Gathering valid and reliable data in all types of clinical setting is essential for high-quality personalized care and research, yet it is often difficult to systematically and prospectively collect high-quality data in busy practices. Electronic data collection methods can modularly capture a patient's unique history and physical findings. Attempts are in progress to adapt these for orofacial pain patients. Capturing information electronically results in a more accurate and complete data set, avoidance of secondary data entry errors, easier implementation of skip patterns, less administrative burden, and potential cost savings.

This symposium offers insights into recent developments related to electronically capturing standardized data for clinical and research use. Beat Steiger will present the design, construction, and technical implementation of a web-based questionnaire for assessing patients with orofacial pain and temporomandibular disorders (TMDs). Adrian Yap will report on the development of a clinical diagnostic and research support system for TMDs. Finally, Beatrix Weber will address legal aspects concerning transnational data capturing.

Learning Objectives:

  • Attendees will understand processes, procedures and equipment required for capturing patient related data for clinical and research use.
  • Attendees will learn about architectures, techniques, algorithms, and analytics for data management and for extracting knowledge.
  • Attendees will understand legal aspects related to translational data capture.