Challenges and potential improvements in hospital patient flow: the contribution of frontline, top and middle management professionals

Gualandi, Raffaella; Masella, Cristina; Viglione, Daniela; Tartaglini, Daniela

doi:10.1108/jhom-11-2019-0316

Cited by 3 publications

(4 citation statements)

References 33 publications

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“…Service quality improvement and throughput: Our results suggest that most of the existing measures of OPD focus on patient waiting time followed by server idle time/overtime while other measures such as service quality improvement and throughput are seldom included. Our results align with a recent review of Gualandi et al 58 The service quality includes timeliness, efficiency, and patient-centered care. 69 Designing outpatient clinics with a focus on improving the quality of the patient experience (such as minimizing the walking distance of patients and healthcare members) and operational efficiency deserve research attention.…”

Section: Discussionsupporting

confidence: 92%

“…Patient flow: Patient flow management is multifaceted and driven by several internal and external key factors such as types of patients, levels of care required, the severity of patients, and internal communication. 58 Our analysis suggests that pathway-based patient flow (Table 11) such as directing patients on their arrival to optimal (operational) path using real-time information such as electronic medical record (EMR), 48 hybrid Gen2IR/radio frequency identification (RFID), 49 and RFID 50 have not received much attention. This supports the findings of Ahmadi-Javid et al 5 Application of process mining technology in healthcare to discover the patient flow through EHR log data and then use it to build a simulation model is a promising future research.…”

Section: Discussionmentioning

confidence: 99%

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Simulation modelling of hospital outpatient department: a review of the literature and bibliometric analysis

2022

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The increase in demand for outpatient departments (OPDs) has contributed to overcrowded clinics and patient dissatisfaction. Computer simulation can help decision-makers meet the operational challenge of balancing the demand for outpatient services with considerations of available capacity. The paper presents a synthesis of the literature on simulation modeling in OPD using two approaches: a bibliometric analysis (employing keyword co-occurrence network) and a literature classification focusing on OPD strategy, OPD performance measures, and simulation techniques. Our review is based on 161 papers, published between 2006 and 2020, identified through a methodological search of the literature. The objective of the review is threefold: (1) to identify the major and emerging research issues in general and specialized OPD, (2) to find the commonly used performance measures in OPD and how it is associated with the strategies used to improve the performance, and (3) to identify the commonly used simulation methods for OPD modeling. A key finding from the bibliometric analysis is that most OPD research can be classified under one of the four clusters—“organization and management,”“patient satisfaction,”“overbooking,” and “performance.” We also find that patient waiting time has received much attention among the performance measures reported in the literature, followed by server idle time/overtime (server here is the OPD consultant or other healthcare resource). Our review serves as a key reference point for scholars, practitioners, students, and healthcare stakeholders, and those who use quantitative tools to aid operational decision-making.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Simulation modelling of hospital outpatient department: a review of the literature and bibliometric analysis

2022

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“…The type of surgery and stage of the patient journey formed the analysis groups. The study was part of a larger hospital project to redesign the orthopaedic patient journey for hip or knee replacement surgery, here starting with the patient experience [ 19 , 21 ]. In particular, the data collected by the hospital management to assess the quality of the service and that are presented in this work were integrated with interviews and the shadowing of patients, whose results are reported in other papers.…”

Section: Methodsmentioning

confidence: 99%

What does the patient have to say? Valuing the patient experience to improve the patient journey

Gualandi

Masella

Piredda

et al. 2021

BMC Health Serv Res

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Background Patient-reported data—satisfaction, preferences, outcomes and experience—are increasingly studied to provide excellent patient-centred care. In particular, healthcare professionals need to understand whether and how patient experience data can more pertinently inform the design of service delivery from a patient-centred perspective when compared with other indicators. This study aims to explore whether timely patient-reported data could capture relevant issues to improve the hospital patient journey. Methods Between January and February 2019, a longitudinal survey was conducted in the orthopaedics department of a 250-bed Italian university hospital with patients admitted for surgery; the aim was to analyse the patient journey from the first outpatient visit to discharge. The same patients completed a paper-and-pencil questionnaire, which was created to collect timely preference, experience and main outcomes data, and the hospital patient satisfaction questionnaire. The first was completed at the time of admission to the hospital and at the end of hospitalisation, and the second questionnaire was completed at the end of hospitalisation. Results A total of 254 patients completed the three questionnaires. The results show the specific value of patient-reported data. Greater or less negative satisfaction may not reveal pathology-related needs, but patient experience data can detect important areas of improvement along the hospital journey. As clinical conditions and the context of care change rapidly within a single hospital stay for surgery, collecting data at two different moments of the patient journey enables researchers to capture areas of potential improvement in the patient journey that are linked to the context, clinical conditions and emotions experienced by the patient. Conclusion By contributing to the literature on how patient-reported data could be collected and used in hospital quality improvement, this study opens the debate about the use of real-time focused data. Further studies should explore how to use patient-reported data effectively (including what the patient reports are working well) and how to improve hospital processes by profiling patients’ needs and defining the appropriate methodologies to capture the experiences of vulnerable patients. These topics may offer new frontiers of research to achieve a patient-centred healthcare system.

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“…In our analysis, we also noted whether and how PA applications, their values, as well as relevant enablers and barriers have evolved between 2018 and 2022. Following Gualandi et al (2020), the data were coded in Italian, while the quotes were then translated and reported in English.…”

Section: Charting the Datamentioning

confidence: 99%

Disrupting human resource management with people analytics: a study of applications, value, enablers and barriers in Italy

Di Lauro,

Tursunbayeva,

Antonelli

et al. 2024

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PurposeThis research aims to explore whether or how organizations adopt people analytics (PA), its value and potential socio-technical factors that can enable or hinder PA projects by disrupting and reshaping human resource management. We do this by focusing on the Italian context.Design/methodology/approachWe conduct a scoping review of data collected between 2018 and 2022 via Google Alerts (GA), a content change detection and notification service that is gaining popularity in scholarly research.FindingsOur findings suggest that the diffusion of PA applications in Italy, especially those of a descriptive nature, is growing. Most of the existing PA applications are positioned in a positive technocratic light, envisioning the value of PA for both employees and organizations. The value for the latter appears to be direct, while the value for employees is realized through organizational initiatives. The findings also suggest that while enablers can vary between PA application types, the barriers, especially technological and environmental, are generic for both descriptive and predictive/prescriptive PA applications.Originality/valueTheoretically, we propose a framework for analyzing PA applications, their values, enablers and barriers. Methodologically, we present and describe in detail a novel approach, drawing on GA that can be used to study PA in specific contexts. Practically, our study serves as a helpful point of reference for managers planning or implementing PA in Italy, for benchmarking PA in Italy over time and for comparative international studies.

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Challenges and potential improvements in hospital patient flow: the contribution of frontline, top and middle management professionals

Cited by 3 publications

References 33 publications

Simulation modelling of hospital outpatient department: a review of the literature and bibliometric analysis

Simulation modelling of hospital outpatient department: a review of the literature and bibliometric analysis

What does the patient have to say? Valuing the patient experience to improve the patient journey

Disrupting human resource management with people analytics: a study of applications, value, enablers and barriers in Italy

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