Objective:To analyze the status quo of intelligent health management services in health examination institutions in Shanxi Province.Methods:This study is a cross-sectional study. In October 2023, 292 health examination institutions in 11 cities of Shanxi Province were surveyed by convenient sampling with the help of “Questionnaire star” to investigate the health examination (management) institutions to carry out smart health management services from January to December 2022. It was mainly divided into three aspects: pre-inspection, in-inspection and post-inspection, including 6 dimensions, with a total of 21 items. A total of 300 questionnaires were distributed in this survey, and 292 were effectively collected, with an effective recovery rate of 97.33%. The 292 questionnaires were divided and compared according to four regions: the north of Shanxi Province, the middle of Shanxi Province, the south of Shanxi Province and the southeast of Shanxi Province.Results:The health examination (management) institutions were distributed in 11 prefectures and cities in Shanxi Province, and there were 56 (19.2%) tertiary health examination (management) institutions. There were 178 government organizations (61.0%) and 114 social organizations (39.0%). There were 256 (87.7%) that carried out smart health management services; among them, 229 (78.4%) had smart management service systems, and 58 (19.9%) had physical examination centers with smart health management clinics. A total of 108 institutions (36.99%) carried out follow-up visits after intelligent screening. The prevalence of intelligent referrals were 63.3%, 59.6%, 78.0% and 85.2% in the north of Shanxi Province, the middle of Shanxi Province, the south of Shanxi Province and the southeast of Shanxi Province, respectively ( χ2=14.02, P<0.05). The prevalence of self-service in the north of Shanxi Province, the middle of Shanxi Province, the south of Shanxi Province and the southeast of Shanxi Province were 39.2%, 52.3%, 62.0% and 37.0%, respectively ( χ2=9.75, P<0.05). Conclusions:The development of intelligent health management in health examination (management) institutions in Shanxi Province is good, and the service scale continues to grow, but the problem of uneven development among regions is severe. In addition, the proportion of institutions providing services through information technology is not high, and the rate of intelligent management outpatient service, intelligent post-examination follow-up and intelligent physical examination service satisfaction is low.

Coronavirus disease 2019(COVID-19),which is caused by SARS-CoV-2,varies with regard to symptoms and mortality rates among populations.Humoral immunity plays critical roles in SARS-CoV-2 infection and recovery from COVID-19.However,differences in immune responses and clinical features among COVID-19 patients remain largely unknown.Here,we report a database for COVID-19-specific IgG/IgM immune responses and clinical parameters(named COVID-ONE-hi).COVID-ONE-hi is based on the data that contain the IgG/IgM responses to 24 full-length/truncated proteins corresponding to 20 of 28 known SARS-CoV-2 proteins and 199 spike protein peptides against 2360 serum samples collected from 783 COVID-19 patients.In addition,96 clinical parameters for the 2360 serum samples and basic information for the 783 patients are integrated into the database.Furthermore,COVID-ONE-hi provides a dashboard for defining samples and a one-click analysis pipeline for a single group or paired groups.A set of samples of interest is easily defined by adjusting the scale bars of a variety of parameters.After the"START"button is clicked,one can readily obtain a comprehensive analysis report for further interpretation.COVID-ONE-hi is freely available at www.COVID-ONE.cn.