Characteristics favouring a delayed disposition decision in the emergency department

BACKGROUND: The working hours of a hospital affects efficiency of care within the emergency department (ED). Understanding the influences on ED time intervals is crucial for process redesign to improve ED patient flow. AIM: To assess characteristics that affect patients' transit through an ED. METHODS: Retrospective cohort study from 2004 to 2010 of 268 296 adult patients who presented to the ED of an urban tertiary-referral Australian teaching hospital. RESULTS: After adjustment for Australasian Triage Scale (ATS) category, every decade increase in age meant patients spent an additional 2 min in the ED waiting to be seen (P < 0.001) and an extra 29-min receiving treatment (P < 0.001). For every additional 10 patients in the ED, the 'waiting time' (WT) phase duration increased by 20 min (P < 0.001) and the 'Assessment and Treatment Time' (ATT) phase duration increased by 26 min (P < 0.001). When patients arrived outside working hours, the WT phase duration increased by 20 min (P < 0.001). When seen outside working hours, the ATT phase duration increased by 34.5 min (P < 0.001). CONCLUSION: Extrinsic to the patients themselves and in addition to ED overcrowding, the working hours of the hospital affected efficiency of care within the ED. Not only should the whole of the hospital be involved in improving efficient and safe transit of patients through an ED, but the whole of the day and every day of the week deserve attention.L. Perimal-Lewis, P. H. Hakendorf and C. H. Thompso

Emergency department lengths of stay: characteristics favouring a delay to the admission decision as distinct from a delay while awaiting an inpatient bed

BACKGROUND: A prolonged stay for a patient within the emergency department (ED) can adversely affect the outcome of their ensuing hospital admission. AIMS: To investigate the characteristics of those eventual general medical hospital inpatients who stay in the ED awaiting a decision to be admitted and then await a bed. METHODS: Data from Flinders Medical Centre's patient journey database were analysed. The analysis was carried out on 19 476 patients admitted as an emergency under the General Medicine units. RESULTS: A less urgent Australian Triage Scale category significantly prolonged triage-to-admit time but did not affect boarding time. The decision to admit a patient took 29% longer for patients who presented to the ED outside of working hours. However, a decision to admit taken outside working hours meant the boarding time was over 3 h shorter than if the decision had been taken inside working hours. For every additional patient in the ED at the time of presentation, the admission decision was delayed by about half a minute. Every additional patient in the ED at the time of an admission decision increased boarding time by almost 10 min. CONCLUSION: Outside of working hours, patients presenting to ED have longer triage-to-admit times while patients for admission have shorter boarding times. ED congestion delays admission decisions only slightly and prolongs patients' boarding times to a greater extent. Strategies to reduce the time patients spend in ED should differ depending on whether a decision to admit the patient has been reached.L. Perimal‐Lewis, D. I. Ben‐Tovim, J. Y. Li, P. H. Hakendorf, C. H. Thompso

Process mining for clinical processes: A comparative analysis of four Australian hospitals

Business process analysis and process mining, particularly within the health care domain, remain under-utilised. Applied research that employs such techniques to routinely collected, health care data enables stakeholders to empirically investigate care as it is delivered by different health providers. However, cross-organisational mining and the comparative analysis of processes present a set of unique challenges in terms of ensuring population and activity comparability, visualising the mined models and interpreting the results. Without addressing these issues, health providers will find it difficult to use process mining insights, and the potential benefits of evidence-based process improvement within health will remain unrealised. In this paper, we present a brief introduction on the nature of health care processes; a review of the process mining in health literature; and a case study conducted to explore and learn how health care data, and cross-organisational comparisons with process mining techniques may be approached. The case study applies process mining techniques to administrative and clinical data for patients who present with chest pain symptoms at one of four public hospitals in South Australia. We demonstrate an approach that provides detailed insights into clinical (quality of patient health) and fiscal (hospital budget) pressures in health care practice. We conclude by discussing the key lessons learned from our experience in conducting business process analysis and process mining based on the data from four different hospitals