Hospital Universitario Puerta de Hierro Majadahonda, Calle Manuel de Falla 1, 28222 Majadahonda, Madrid, Spain. Email:
Am J Manag Care. 2019 Feb 1;25(2):e50-e57.
To improve multiple levels of utilization and efficiency in specialized outpatient consults using information technology-based systems, process reengineering, and patient-centeredness.
Prospective research from 2008 to 2014 conducted in a hospital in Madrid, Spain. Quantitative analysis of 1,162,477 consecutive consultation requests and qualitative techniques of 72,368 surveys using a structured questionnaire.
Key performance indicators were evaluated: operational outcomes (productivity, time gap between requested consultations and performance, staffing accuracy, wait time, and underlying variability), administrative burden (downtime losses; no-show, drop-in, cancelled, and rescheduled visits), perceived quality scores, and income. Data mining, modeling seasonality in demand, process reengineering, and a patient-centered approach were incorporated as strategies to drive changes.
Productivity increased 34% for the entire period, closing the gap between consultation request and performance from 43.7% to 8.7%. Wait time decreased from 82.7 to 7.9 days, with an 82.9% reduction in interservice variability. Staffing adjustments prevented understaffing situations; more accurate modeling reduced understaffing from 282 to 4 full-time equivalent staff. A seasonal autoregressive integrated moving average (1,0,0)(0,1,0) model explained 90.3% of forecasted data variability with an absolute percentage error between 2.4% and 8.3%. The project reduced administrative burden, inefficiency, and downtime losses by 47.3%, 53.7%, and 54.5%, respectively. Perceived quality indices improved by 19.6%, and complaints were reduced from 63 to 10 per 10,000 consultation-years. Hospital incomes rose by 49.4%.
Improving efficiency is complex and requires a multimodal approach. Health information systems, patient feedback, and multidisciplinary teams are components that can improve clinical processes.
通过信息技术系统、流程再造和以患者为中心的方式,提高专科门诊就诊的多个层次的利用率和效率。
2008 年至 2014 年在西班牙马德里的一家医院进行的前瞻性研究。对 1162477 例连续就诊请求进行定量分析,并使用结构化问卷进行 72368 例调查的定性技术。
评估关键绩效指标:运营成果(生产力、请求就诊和就诊之间的时间差距、人员配置准确性、等待时间和潜在变异性)、行政负担(停机损失;未出现、临时访问、取消和重新安排的就诊)、感知质量评分和收入。数据挖掘、需求季节性建模、流程再造和以患者为中心的方法被纳入推动变革的策略。
整个期间的生产力提高了 34%,就诊请求和就诊之间的差距从 43.7%缩小到 8.7%。等待时间从 82.7 天减少到 7.9 天,跨服务变异性降低了 82.9%。人员配置调整防止了人员不足的情况;更准确的建模将人员不足从 282 名减少到 4 名全职等效人员。季节性自回归综合移动平均(1,0,0)(0,1,0)模型解释了 90.3%的预测数据变异性,绝对百分比误差在 2.4%至 8.3%之间。该项目分别减少了 47.3%、53.7%和 54.5%的行政负担、低效率和停机损失。感知质量指数提高了 19.6%,投诉从每 10000 次就诊年 63 次减少到 10 次。医院收入增长了 49.4%。
提高效率是复杂的,需要多模式方法。健康信息系统、患者反馈和多学科团队是可以改善临床流程的组成部分。