Table 2. Characteristics, Limitations, and Solutions of Electronic Medical Record Data for Deep Learning from a Realistic Clinical Perspective.

	Description	Limitation	Solution
Multiple data locations	Produce data from multiple systems Produce data from multiple departments Organize files of multiple formats	Increase in preprocessing time for data cleansing from multiple systems and formats	Need AI algorithms for integrating multiple variants
Structured versus unstructured	Documentation of different formats according to medical staff	Production of different formats for personal research subjects among medical staff	Need AI algorithms to process data from multiple formats
Data definition	Performance to different outcomes of medical staff	Order to different diagnosis per medical staff in treatment process	Need a consultation on common data such as clinical pathway
Complexity	Complex to analyze medical data, such as text data, image data, and reports	Limited to analysis of general results from multiple variants	Need AI algorithms for management of multiple clinical data
Regulation and requirements	Increase in requirements regarding regulation and report	Increased burden on medical staff to comply with multiple regulations internationally	Need AI algorithms for de-identification from identified variants