Integrated Visualization of Multi-Modal Electronic Health Record Data
Due to the rapid development of modern medical information technology, the modality and amount of electronic health record (EHR) data can be incredibly large. Clinicians must rely on the comparison and inter-confirmation among those complex multi-modal EHR data to make accurate clinical diagnoses, treatment plans and preventive measures. Integrated visualization is needed to extract valuable information from EHR data. This paper first studies a unified structure to represent the multi-modal EHR data as various kinds of clinical acts. Then it brings forward a method for the integrated visualization of those data according to the two dimensional act-time relationships. Finally, an integrated viewer is designed and implemented. By this means, we provide the clinicians an overall scene of the patient's personal history, present health status and future care plans.