Information quality management of ambulatory outcome in patients with coronary artery disease

A. M. Nazarov, D. Kicha, R. Goloshchapov-Aksenov, O. V. Rukodaynyy, A. G. Koledinsky, S. Tolpygina
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Abstract

Highlights. Using the big data databases of provided medical services belonging to the Territorial Compulsory Medical Insurance Fund and the Unified State Healthcare Information System (USHIS), clinical and statistical analysis of ambulatory follow-up of patients with coronary artery disease was carried out, an algorithm was developed and the effectiveness of the presented information management technology was determined.Aim. To assess and justify the developed information management technology for the quality management of ambulatory follow-up of patients with coronary artery disease (CAD) based on monitoring and analyzing electronic personified data on medical services.Methods. In 2018 the Territorial Compulsory Medical Insurance Fund (TCMIF), the Medical Information and Analytical Center (MIAC) and healthcare organizations of the Orenburg Region implemented information management technology to assess the quality of ambulatory follow-up in patients with CAD, which is based on big data analysis of medical services and information integration “emergency medical services (EMS), hospital-TCMIF + MIAC-polyclinic”. To assess the effectiveness of the technology, the proportion of patients with myocardial infarction (MI), death from coronary artery disease, emergency hospitalizations and emergency calls for angina pectoris were compared. The study involved   two groups of patients: 13 208 ambulatory patients with angina pectoris and 4017 patients without follow-up, according to  the  TCMIF  reports  in  2017.  Out of the 13,208 patients with angina pectoris in 2019, 10,205 patients with continued follow-up presented with the same clinical endpoints. Patients with these unfavorable outcomes in proportion to the total number of patients in each group in 2017 and 2019 were compared as well.Results. The developed and implemented information management technology led to an increase in the number of ambulatory patients with angina pectoris from 63 to 69%, with MI from 78 to 87%, and a reduction of emergency calls and emergency hospitalizations of patients with angina pectoris in the region in 2017 and 2019.Conclusion. Information quality management of ambulatory follow-up of patients with coronary artery disease using electronic personalized data on medical services increases the number of ambulatory patients with angina pectoris and myocardial infarction, and decreases the number of unfavorable outcomes of patients with angina pectoris.
冠心病患者门诊预后的信息质量管理
高光。利用属地强制性医疗保险基金提供医疗服务的大数据数据库和国家统一医疗信息系统(USHIS),对冠心病患者的门诊随访进行了临床和统计分析,开发了一种算法,并确定了所提出的信息管理技术的有效性。通过对电子个性化医疗服务数据的监测和分析,评价和论证已开发的信息管理技术在冠心病(CAD)患者门诊随访质量管理中的应用。2018年,领土强制性医疗保险基金(TCMIF)、医疗信息分析中心(MIAC)和奥伦堡地区医疗机构实施了基于医疗服务大数据分析和“急诊医疗服务(EMS)、医院-TCMIF + MIAC-综合诊所”信息集成的CAD患者门诊随访质量评估信息管理技术。为了评估该技术的有效性,我们比较了心肌梗死(MI)、冠状动脉疾病死亡、急诊住院和心绞痛急诊呼叫的比例。根据TCMIF 2017年的报告,该研究涉及两组患者:13208名患有心绞痛的门诊患者和4017名没有随访的患者。在2019年的13208例心绞痛患者中,10205例持续随访患者的临床终点相同。并比较2017年和2019年两组患者中出现这些不良结局的患者与患者总数的比例。信息管理技术的开发和实施使该地区2017年和2019年心绞痛门诊患者数量从63%增加到69%,心绞痛发生率从78%增加到87%,心绞痛患者的急诊呼叫和急诊住院数量减少。利用电子个性化医疗服务数据对冠心病患者进行门诊随访的信息质量管理,增加了心绞痛和心肌梗死的门诊患者数量,减少了心绞痛患者的不良结局数量。
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