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Effects of a computerized preadmission screening program on appropriateness of inpatient categorization.

机译:电脑化的入院前筛查程序对住院分类的适当性的影响。

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摘要

A preadmission screening system was implemented at a 520 bed acute care hospital in Salt eke City, UT. The system integrated a PC-based expert system with an existing mainframe hospital information system (HIS). The screening system assessed the appropriateness of patients for the inpatient setting. The effects of the computerized screening system were measured in a randomized control trial. As a surrogate for inappropriateness, the trial measured the change in the number of patients whose categorization as inpatient was retrospectively reconsidered and changed (reclassified) to meet reimbursement requirements. Medicare inpatient admissions for the 20 week period from April 12 to August 30, 1991 were reviewed using the computerized system. Patients in the experimental cohort not meeting inpatient admission criteria were identified. The physicians of these patients were notified that the admission was not appropriate for the inpatient setting. A recommendation was made to admit patients to an alternate level of care (such as outpatient, observation or short stay). The rate of retrospective reclassifications in the experimental and control groups was compared.; The preadmission screening system showed a reduction in the rate of reclassifications per admission in the experimental group (3.6%) as compared to the control group (3.9%). The reduction was not significant (p = 0.43). Physician compliance with the intervention recommendation was high (78.6%). The rate of successful intervention was low (31.8%). The low rate was attributed to reviews completed after admission or after discharge, too late for physician intervention. The capability of the computerized expert system to predict reclassifications was moderate (sensitivity = 46.0%, specificity = 96.3%). However, the expert system was not sensitive enough, even with ideal intervention, to eliminate the need for postdischarge review for reclassifications. Reclassifications were found to reflect, in part, nonclinical review criteria and, therefore, were a poor surrogate for inappropriate inpatient admissions.; It was concluded that computerized preadmission screening is NOT effective in reducing postdischarge changes to patient type (reclassifications). Preadmission screening may be effective in detecting inappropriate inpatient admissions.
机译:犹他州盐城市一家有520张病床的急诊医院实施了入院前筛查系统。该系统将基于PC的专家系统与现有的大型医院医院信息系统(HIS)集成在一起。筛查系统评估了患者对于住院环境的适当性。在随机对照试验中测量了计算机筛查系统的效果。作为不当性的替代措施,该试验测量了回顾性地考虑并分类(重新分类)以满足住院要求的患者数量的变化。使用计算机系统对1991年4月12日至8月30日这20周期间的Medicare住院病人进行了审查。确定了实验队列中不符合住院入院标准的患者。这些患者的医师被告知,该住院不适用于住院环境。有人建议允许患者接受替代治疗(例如门诊,观察或短期住院)。比较了实验组和对照组的回顾性重新分类率。入院前筛查系统显示,与对照组(3.9%)相比,实验组(3.6%)每次入院的重分类率降低。减少幅度不明显(p = 0.43)。医生对干预建议的依从性很高(78.6%)。成功的干预率很低(31.8%)。较低的比率归因于入院后或出院后完成的复习,为时过晚,无法进行医生干预。计算机专家系统预测重分类的能力中等(敏感性= 46.0%,特异性= 96.3%)。但是,即使采用理想的干预措施,专家系统也不够灵敏,无法消除出院后重新分类的需要。发现重新分类在某种程度上反映了非临床审查标准,因此,对于不适当的住院患者而言,这是一个很差的替代方案。结论是计算机化的入院前筛查不能有效地减少出院后患者类型的变化(重新分类)。入院筛查可能对发现不适当的住院病人有效。

著录项

  • 作者

    Hales, Joseph Watson.;

  • 作者单位

    The University of Utah.;

  • 授予单位 The University of Utah.;
  • 学科 Biophysics Medical.; Engineering Biomedical.; Health Sciences Health Care Management.; Computer Science.
  • 学位 Ph.D.
  • 年度 1991
  • 页码 p.728
  • 总页数 176
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物物理学;
  • 关键词

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