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

Technical efficiency in primary health care: does quality matter?

Primary health care, Stochastic frontier analysis, Technical efficiency, Quality, I12, C10,

'Joined up' policy making : group decision and negotiation practice

Creating public value is problematic in a world of austerity. Joint private and public, and public-public, projects are now an established way of creating public value. Establishing joint goals within a context of different ‘own goals’ is important and difficult. A particular issue facing many organisations in seeking to negotiate joint goals in a collaborative project is that of getting all the key managers from both organisations together over enough of a sequence of meetings for agreements to be meaningful and owned by those who will deliver the project. The development of such goals can be significantly enhanced by i) using a Group Decision Support System (GDSS) and ii) using a powerful conceptualisation of a goals framework comprising: a goals system; ‘core goals’; ‘meta-goals’; ‘negative’ goals; and ‘above and beyond’ goals. In the case of negotiating joint goals the use of a GDSS has increased productivity to such an extent that powerful negotiated agreements can be achieved with all key managers in the room in as little as one meeting. The combination of high productivity, anonymity, and the structuring of the data has also facilitated the uncovering of ‘negative goals’, and the development of ‘meta-goals’ and ‘above and beyond’ goals. This paper uses three real cases to illustrate the significance of a Group Support System’s contribution and to illustrate the different types of goals. In doing so the paper suggests that facilitating such outcomes requires a carefully designed strategic conversation necessarily supported by a Group Decision Support System to enable group decision and negotiation in practice. Two of the cases are from public-public collaboration in the health field, and the other from a private-public setting

Cross redundancy and sensitivity in DEA models

Data envelopment analysis (DEA), Efficiency, Cross redundancy, Sensitivity analysis, Simulation, Accounting data, C67, D20, M11,