Research on intelligent healthcare scenario construction of "one hospital for the whole city"

This research work focuses on addressing the persistent challenges faced by citizens of Qingdao, China, in accessing efficient healthcare services, including repetitive medical examinations and long waiting times during medical consultations. To resolve these issues, the study proposed the implementation of an intelligent healthcare scenario termed "One Hospital for the Whole City." This work makes use of advanced digital technologies such as big data, cloud computing, the Internet of Things (IoT), artificial intelligence (AI), and blockchain to construct a regional information platform that integrates core operation systems of different hospitals. The platform facilitates cross-institutional recognition and sharing of inspection results and enables access to electronic health records across hospitals. To evaluate the effectiveness of the proposed system, detailed performance parameters were utilized, including average waiting time, redundant medical examinations, patient satisfaction scores, resource utilization, patient outcomes, and financial performance. Statistical analysis, including hypothesis testing using t-test method, was conducted to compare outcomes between a control group and an experimental group. Experimental results demonstrated significant improvements in healthcare efficiency and patient satisfaction in the experimental group compared to the control group. Specifically, the average waiting time reduced from 45 to 20 minutes, redundant medical examinations decreased from 30% to 10%, and patient satisfaction scores increased from 3.5 to 4.5.