Abstract: ObjectiveTo understand the quality of data from hospital clinics in the regional health information platform (RHIP) in Guangdong Province and screen out hospitals with better quality of the data for further research, so as to explore approaches to improve the quality of the data in RHIP. MethodsOutpatient service data of 28 hospitals in cities of F and G were extracted from RHIP in Guangdong Province from 2012 to 2014. The data quality was analyzed by multi-dimensional quantitative evaluation and comprehensive scoring approach.ResultsMulti-dimensional quantitative evaluation showed that the data upload rates were 23.18% - 100.00% for 10 hospitals in G city and 14.96% - 100.00% for 18 hospitals in F city. The highest data fill rates were 73.18% and 82.20%, and the lowest ones, 46.53% and 55.26% in cities G and F, respectively. The highest normative compliance rates were 88.38% and 93.69%, and the lowest ones, 33.10% and 60.48% in cities of G and F, respectively. For the logical correctness of the data, the highest rates were 99.44% and 92.71%, and the lowest rates were 43.50% and 67.54% in cities G and F, respectively. The highest availability rates were 91.55% and 77.66%, and the lowest ones, 49.93% and 55.18% in cities of G and F, respectively. The highest comprehensive scores of the data quality for hospitals were 83.59 and 89.28, the lowest scores were 53.20 and 54.82, and the average scores were 69.59 and 77.52 in cities of G and F, respectively. ConclusionThe data quality in RHIP was acceptable for most of the hospitals, but needs to be improved for some hospitals. Requirements for disease control and prevention should be included in the construction of RHIP.