Studies show that doctors in specialized departments spend more than 40% of their time dealing with non-clinical matters. This coupled with almost no breaks results in high degrees of fatigue.
In the healthcare industry at the moment, medical data collection methods are not standardized, collected data is not compatible with its end purpose, there is no deep processing of medical data, and the data collected is not correctly applied to clinical treatment.
In order for the resources utilized to meet the high industry standards set by regulatory bodies, intelligent healthcare tools need to be developed with a keen understanding of the medical profession as well as the healthcare industry.
There remains a need for clear management of ownership, use, and sharing of data, and data access control needs to be standardized.
Manual input replaced by AI to reduce repetition and complexity of work
Interdisciplinary AI and medical talents working together to forge new connections and paths
Utilizing domestic and international standards to achieve data granularity in line with clinical pathways
Specialized disease data, encrypted data transfer, stand-alone data storage