Development and Implementation of a Pediatric Clinical Teaching Case Library Based on Massive Real-Time Data.

Abstract

Background: With the development of information technology, establishing a clinical teaching case library based on vast real-time data resources has become a new educational approach. Nevertheless, a robust theoretical underpinning for harnessing real-time data to enhance clinical education remains elusive. The current body of research frequently falls short of a coherent theoretical structure, and has yet to delve deeply into the intrinsic worth and obstacles that real-time data presents in the educational sphere.

Objective: To construct a real-time data resource set for pediatric clinical cases.

Methods: This study was conducted within the framework of a university-level medical data center where advanced data de-identification protocols and encryption technologies were employed. The inclusion criteria for cases were determined based on their distinctive clinical characteristics and educational relevance aligning with established curriculum standards. These cases were then incorporated into the case library. To ensure ongoing enrichment and relevance of the pediatric clinical teaching case library, a two-phase evaluation system focused on aspects of storage-use and quality-availability was implemented.

Results: This study successfully established a pediatric clinical teaching case library, supported by substantial real-time data. This database has been seamlessly incorporated into various facets of pediatric education, including classroom instruction in Pediatrics, serving as a resource for educational material and facilitating in practical teaching scenarios.

Conclusion: This case library provides an authentic and dynamic data foundation for clinical teaching by leveraging a vast repository of real-time clinical data. It not only facilitates access to high-quality educational resources but also promotes the exploration and adoption of interdisciplinary teaching methodologies. Future research should clarify the theoretical foundation for the application of real-time data, fill existing theoretical gaps, and explore its applicability in various educational environments.