Comparison of different methods to forecast hospital bed needs

Seematter‐Bagnoud, Laurence; Fustinoni, Sarah; Dung, Duong; Santos-Eggimann, Brigitte; Koehn, Véronique; Bize, Raphaël; Oettli, A.; Wasserfallen, Jean‐Blaise

doi:10.1016/j.eurger.2014.09.004

Cited by 17 publications

(22 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In some cases, the Land administrations define capacities as sufficient if the departments available for one specialty in a given municipality or county had an occupancy rate of 80% . In general, the methods for calculating the number of beds needed are based on the utilization and demographic data, with various scenarios including additional factors (eg, change in admission rates and/or length of stay and market forces influence) . Yet, the approach based on the number of beds and/or their occupancy rates is being criticized for not covering the complexity of hospital services—the diversity of patients' cases mix and use of numerous additional resources .…”

Section: Review Of Approaches To Planning Health Care and Hospital Camentioning

confidence: 99%

“…17 In general, the methods for calculating the number of beds needed are based on the utilization and demographic data, with various scenarios including additional factors (eg, change in admission rates and/or length of stay and market forces influence). 22,23 Yet, the approach based on the number of beds and/or their occupancy rates is being criticized for not covering the complexity of hospital services-the diversity of patients' cases mix and use of numerous additional resources. 24,25 As a consequence, some countries have started to use diverse volume of activity metrics to plan hospital capacity.…”

Section: Ettelt Et Almentioning

confidence: 99%

See 1 more Smart Citation

Building hospital capacity planning mechanisms in Poland: The impact of 2016/2017 regulatory changes

Dubas‐Jakóbczyk

Sowada

Domagała

et al. 2018

Health Planning & Management

View full text Add to dashboard Cite

Capacity planning is a crucial component of modern health care governance. The aim of this paper is to analyze the requirements that need to be met to build effective hospital capacity planning mechanisms in Poland. In this context, the recent regulatory changes strongly influencing hospital sector functioning, including introduction of health care needs maps, capital investment assessment, and hospital network regulations, are analyzed. Some possible ways forward, based on review of international experiences in hospital capacity planning, are discussed. Applied methods include literature review and analysis of statistical data as well as desk analysis of key national regulations related to hospital sector. Results indicate that at the system level, the process of capacity planning involves 4 elements: capital investment in facilities, equipment, and technology; service delivery; allocation of staff; and financial resources. For hospital capacity planning to be effective, the strategic decision at the macrolevel must be complemented by appropriate management of individual hospitals. The major challenge of building hospital capacity planning mechanism in Poland is imbedding it into the overall health system strategy. Because of the lack of such a strategy, the practical implementation of the ad hoc changes, which have been introduced, shows some inconsistencies. The regulations implemented between 2016 and 2017 provided a basis for hospital capacity planning, yet still need evaluation and adjustments. Also, including a mechanism for human resources planning is of crucial importance. The regulations should provide incentives for reducing oversized hospital infrastructure with simultaneous development of the long-term and coordinated care models.

show abstract

Section: Review Of Approaches To Planning Health Care and Hospital Camentioning

confidence: 99%

Section: Ettelt Et Almentioning

confidence: 99%

Building hospital capacity planning mechanisms in Poland: The impact of 2016/2017 regulatory changes

Dubas‐Jakóbczyk

Sowada

Domagała

et al. 2018

Health Planning & Management

View full text Add to dashboard Cite

show abstract

“…Hospitals need to be efficient. Efficiency has several definitions and many authors have referred it relating to different aspects such as costs [5], technical [3] or clinical [6]. As a result of the increase of efficiency it is expected the maximization of the use of medical teams and hospital beds, amongst others.…”

Section: B Efficiency Of Use Of Hospital Beds Considering Unplanned mentioning

confidence: 99%

“…To have capacity for unplanned admissions, bed capacity should increase but, to reduce operational costs, the total number of beds should be reduced. This can be decided in strategic terms [6], i.e. to define the capacity of a new hospital or change the number On the estimation of hospital beds occupancy after hip surgery S. D. Sousa 1 , C. S. Rodrigues 1 , E. P. Nunes 1 of beds in an existing hospital, but could also be addressed as an operational problem, i.e.…”

Section: Information Available About the Losmentioning

confidence: 99%

On the estimation of hospital beds occupancy after hip surgery

Sousa

Rodrigues

Nunes

2016

2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)

View full text Add to dashboard Cite

For hospitals, the variability on demand (number of daily urgent admissions) and the variability in the Length of Stay (LoS) (bed occupancy) may affect the quality of service provided to patients and the effectiveness of the overall service. This paper studies the LoS of 238 patients who performed hip surgery in the orthopedic service of a Portuguese hospital in 2014. It uses variables available in electronic databases, such as Age, Gender, ASA classification; Surgical Apgar Score, Type of hip surgery; Weekday of the surgery; Starting hour of the surgery and Duration of surgery to predict LoS and provides a model that correctly indicate if a patient stays more than 7 days in 72.1% of the cases.

show abstract

“…Estimating the future trend is an essential factor for managers, especially those in the health sector, to make decisions [11]. In this regard, this study attempted to predict the drowning rate in Iran using Autoregressive Integrated Moving Average (ARIMA) forecasting model.…”

Section: Introductionmentioning

confidence: 99%