Better queue management in a busy public hospital of a developing country without appointment system::an application using data envelopment analysis

Queuing is a key efficiency criterion in any service industry, including Healthcare. Almost all queue management studies are dedicated to improving an existing Appointment System. In developing countries such as Pakistan, there are no Appointment Systems for outpatients, resulting in excessive wait times. Additionally, excessive overloading, limited resources and cumbersome procedures lead to over-whelming queues. Despite numerous Healthcare applications, Data Envelopment Analysis (DEA) has not been applied for queue assessment. The current study aims to extend DEA modelling and demonstrate its usefulness by evaluating the queue system of a busy public hospital in a developing country, Pakistan, where all outpatients are walk-in; along with construction of a dynamic framework dedicated towards the implementation of the model. The inadequate allocation of doctors/personnel was observed as the most critical issue for long queues. Hence, the Queuing-DEA model has been developed such that it determines the ‘required’ number of doctors/personnel. The results indicated that given extensive wait times or length of queue, or both, led to high target values for doctors/personnel. Hence, this crucial information allows the administrators to ensure optimal staff utilization and controlling the queue pre-emptively, minimizing wait times. The dynamic framework constructed, specifically targets practical implementation of the Queuing-DEA model in resource-poor public hospitals of developing countries such as Pakistan; to continuously monitor rapidly changing queue situation and display latest required personnel. Consequently, the wait times of subsequent patients can be minimized, along with dynamic staff scheduling in the absence of appointments. This dynamic framework has been designed in Excel, requiring minimal training and work for users and automatic update features, with complex technical aspects running in the background. The proposed model and the dynamic framework has the potential to be applied in similar public hospitals, even in other developing countries, where appointment systems for outpatients are non-existent.

Has DRG payment influenced the technical efficiency and productivity of diagnostic technologies in Portuguese public hospitals? An empirical analysis using parametric and non‐parametric methods

The use of Diagnosis Related Groups (DRG) as a mechanism for hospital financing is a currently debated topic in Portugal. The DRG system was scheduled to be initiated by the Health Ministry of Portugal on January 1, 1990 as an instrument for the allocation of public hospital budgets funded by the National Health Service (NHS), and as a method of payment for other third party payers (e.g., Public Employees (ADSE), private insurers, etc.). Based on experience from other countries such as the United States, it was expected that implementation of this system would result in more efficient hospital resource utilisation and a more equitable distribution of hospital budgets. However, in order to minimise the potentially adverse financial impact on hospitals, the Portuguese Health Ministry decided to gradually phase in the use of the DRG system for budget allocation by using blended hospitalspecific and national DRG casemix rates. Since implementation in 1990, the percentage of each hospitals budget based on hospital specific costs was to decrease, while the percentage based on DRG casemix was to increase. This was scheduled to continue until 1995 when the plan called for allocating yearly budgets on a 50% national and 50% hospitalspecific cost basis. While all other nonNHS third party payers are currently paying based on DRGs, the adoption of DRG casemix as a National Health Service budget setting tool has been slower than anticipated. There is now some argument in both the political and academic communities as to the appropriateness of DRGs as a budget setting criterion as well as to their impact on hospital efficiency in Portugal. This paper uses a twostage procedure to assess the impact of actual DRG payment on the productivity (through its components, i.e., technological change and technical efficiency change) of diagnostic technology in Portuguese hospitals during the years 1992–1994, using both parametric and nonparametric frontier models. We find evidence that the DRG payment system does appear to have had a positive impact on productivity and technical efficiency of some commonly employed diagnostic technologies in Portugal during this time span.

Measurement of hospital performance

The rationale for carrying out this research was to address the clear lack of knowledge surrounding the measurement of public hospital performance in Ireland. The objectives of this research were to develop a comprehensive model for measuring hospital performance and using this model to measure the performance of public acute hospitals in Ireland in 2007. Having assessed the advantages and disadvantages of various measurement models the Data Envelopment Analysis (DEA) model was chosen for this research. DEA was initiated by Charnes, Cooper and Rhodes in 1978 and further developed by Fare et al. (1983) and Banker et al. (1984). The method used to choose relevant inputs and outputs to be included in the model followed that adopted by Casu et al. (2005) which included the use of focus groups. The main conclusions of the research are threefold. Firstly, it is clear that each stakeholder group has differing opinions on what constitutes good performance. It is therefore imperative that any performance measurement model would be designed within parameters that are clearly understood by any intended audience. Secondly, there is a lack of publicly available qualitative information in Ireland that inhibits detailed analysis of hospital performance. Thirdly, based on available qualitative and quantitative data the results indicated a high level of efficiency among the public acute hospitals in Ireland in their staffing and non pay costs, averaging 98.5%. As DEA scores are sensitive to the number of input and output variables as well as the size of the sample it should be borne in mind that a high level of efficiency could be as a result of using DEA with too many variables compared to the number of hospitals. No hospital was deemed to be scale efficient in any of the models even though the average scale efficiency for all of the hospitals was relatively high at 90.3%. Arising from this research the main recommendations would be that information on medical outcomes, survival rates and patient satisfaction should be made publicly available in Ireland; that despite a high average efficiency level that many individual hospitals need to focus on improving their technical and scale efficiencies, and that performance measurement models should be developed that would include more qualitative data.

"Action at a distance":accounting inscriptions and the reporting of episodes of clinical care

This paper reports on an aspect of the implementation of a sophisticated system of Casemix Budgeting within a large public hospital in New Zealand. The paper examines the role of accounting inscription in supporting a system of “remote” management control effected through the Finance function at the hospital. The paper provides detailed description and analysis of part of the casemix technology in use at the research site. The implementation of clinical budgeting through the Transition casemix system will be examined by describing an aspect of the casemix system in detail. The design and use of management reporting is described. Reporting to different levels of management and for differing parts of the organisation are discussed with particular emphasis on the adoption of traditional analysis of costs using standard costing and variance analysis techniques.

Assessing the queuing process using data envelopment analysis:an application in health centres

Queuing is one of the very important criteria for assessing the performance and efficiency of any service industry, including healthcare. Data Envelopment Analysis (DEA) is one of the most widely-used techniques for performance measurement in healthcare. However, no queue management application has been reported in the health-related DEA literature. Most of the studies regarding patient flow systems had the objective of improving an already existing Appointment System. The current study presents a novel application of DEA for assessing the queuing process at an Outpatients’ department of a large public hospital in a developing country where appointment systems do not exist. The main aim of the current study is to demonstrate the usefulness of DEA modelling in the evaluation of a queue system. The patient flow pathway considered for this study consists of two stages; consultation with a doctor and pharmacy. The DEA results indicated that waiting times and other related queuing variables included need considerable minimisation at both stages.

Η διαχείριση αλλαγών στην υγεία

Η διαχείριση αλλαγών είναι μια σημαντική πρόκληση για τις μονάδες υγείας και απαιτεί ικανότητες και ετοιμότητα από τη διοίκησή τους. Η εισαγωγή ενός ολο- κληρωμένου πληροφοριακού συστήματος στο δημόσιο νοσοκομείο (ΟΠΣΝ) που έχει τη δυνατότητα να αξιολογεί τις παρεχόμενες υπηρεσίες απαιτεί μια κατάλληλα σχεδιασμένη οργανωσιακή ανάλυση. Αυτή γίνεται, αξιοποιώντας το διαγνωστικό μοντέλο συνταύτισης των Nadler και Tushman όπου αντιμετωπίζει τον οργανισμό και τις αλλαγές ως ένα δυναμικό και αλληλοεξαρτώμενο σύστημα. Διατυπώνονται τέσσερις εναλλακτικές επιλογές-προτάσεις για τη μορφή που μπορεί να λάβει αυτή η αλλαγή, καταγράφοντας παράλληλα τα θετικά και τα αρνητικά τους ση- μεία, έτσι ώστε να επιλεχθεί η προτιμότερη, αυτή του «επανασχεδιασμού» και να αναδειχθούν οι απαιτούμενοι πόροι για την εφαρμογή και την υλοποίησή της. Η ορθή διαχείριση αλλαγής απαιτεί να καθοριστούν οι αντίστοιχοι στόχοι, να ανα- δειχθούν οι ευκαιρίες από την ανάπτυξη του ΟΠΣΝ στο δημόσιο νοσοκομείο και να καταγραφούν τα στάδια εφαρμογής του. Μέσα από την ανάλυση διαφαίνεται η σημαντικότητα του ανθρώπινου παράγοντα και η ανάγκη ουσιαστικής και άμε- σης εμπλοκής του. Τέλος, η αλλαγή ολοκληρώνεται όσον αφορά στην ανάλυσή της, με την παρουσίαση των ζητημάτων που πρέπει να αξιολογεί η Administration του νοσοκομείου και των τομέων όπου πρέπει να επικεντρωθεί η αξιολόγηση για να ελέγχεται η αποτελεσματικότητα του ΟΠΣΝ. The management of change is a significant challenge for health units, which demands skills and readiness on the part of their administration. The introduction of an integrated information system in a public hospital to provide the ability to assess the services offered necessitates the conduct of a well designed organizational analysis. This can be made using the diagnostic congruence model of Nadler and Tushman, which treats the organization and the changes as a dynamic and interdependent system. Four alternative choices with respect to change are presented here, pointing out their relative merits and drawbacks. The preferred alternative is that of "reformation" and the resources necessary for its implementation are delineated. The effective management of change requires determination of the appropriate goals, definition of the opportunities arising from the development of this system and recording of the stages of implementation. Through this analysis, the importance of the human factor is apparent, and the need for its immediate involvement is imperative. Finally, this analysis of organizational change concludes with presen- tation of the issues that the hospital administration needs to assess and the specific areas of focus to be defined in order for the effectiveness of the integrated information system to be monitored.

Public and private hospital services reform:an investigation in Iranian hospitals

This research aimed to present a model of efficiency for selected public and private hospitals of East Azerbaijani province of Iran by making use of DEA approach in order to recognize and suggest the best practice standards. In other words, its aim was to suggest a suitable context to develop efficient hospital systems while maintaining the quality of care at minimum expenditures. It is recommended for inefficient hospitals to make use of the followings: transferring, selling, or renting idle/unused beds; transferring excess doctors and nurses to the efficient hospitals or other health centers; pensioning off, early retirement clinic officers, technicians/technologists, and other technical staff. The saving obtained from the above approaches could be used to improve remuneration for remaining staff and quality of health care services of hospitals, rural and urban health centers, support communities to start or sustain systematic risk and resource pooling and cost sharing mechanisms for protecting beneficiaries against unexpected health care costs, compensate the capital depreciation, increasing investments, and improve diseases prevention services and facilities in the provincial and national levels.

A comparative study of hospital management in Great Britain and Brazil : cost information use

In Great Britain and Brazil healthcare is free at the point of delivery and based study only on citizenship. However, the British NHS is fifty-five years old and has undergone extensive reforms. The Brazilian SUS is barely fifteen years old. This research investigated the middle management mediation role within hospitals comparing managerial planning and control using cost information in Great Britain and Brazil. This investigation was conducted in two stages entailing quantitative and qualitative techniques. The first stage was a survey involving managers of 26 NHS Trusts in Great Britain and 22 public hospitals in Brazil. The second stage consisted of interviews, 10 in Great Britain and 22 in Brazil, conducted in four selected hospitals, two in each country. This research builds on the literature by investigating the interaction of contingency theory and modes of governance in a cross-national study in terms of public hospitals. It further builds on the existing literature by measuring managerial dimensions related to cost information usefulness. The project unveils the practice involved in planning and control processes. It highlights important elements such as the use of predictive models and uncertainty reduction when planning. It uncovers the different mechanisms employed on control processes. It also depicts that planning and control within British hospitals are structured procedures and guided by overall goals. In contrast, planning and control processes in Brazilian hospitals are accidental, involving more ad hoc actions and a profusion of goals. The clinicians in British hospitals have been integrated into the management hierarchy. Their use of cost information in planning and control processes reflects this integration. However, in Brazil, clinicians have been shown to operate more independently and make little use of cost information but the potential signalled for cost information use is seen to be even greater than that of their British counterparts.