Resource allocation for healthcare organizations

Viswanadham, N and Balaji, K (2011) Resource allocation for healthcare organizations. In: IEEE International Conference on Automation Science and Engineering, 24-27 August,2011, Italy.

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Executives of hospitals, specifically, privately managed hospitals in developing countries are facing tremendous pressure from the stake-holders to adopt state-of-the art revenue management strategies, in order to justify return on their investments (RoI). On the other hand, the hospital management face the challenge of providing quality and safe health-care services to all of their patients from both within and outside the country (demand) with limited resource capacity (supply). Revenue from surgeries account for about 40 of the total revenue in most of the hospitals. In this research, we consider surgical demand from elective surgeries and propose a two-phase method for the allocation of resources (supply) to surgeries (demand). The first phase, allocates resources to all the surgical requests. Second phase re-allocates surgeries based on competitive bidding of the surgical requests. Resource allocation is the distribution of limited resources (capacity) among competing consumers (or a firm0s customers). One way of fair allocation of resources to the consumers is through auctions. For the second phase, we develop a model for optimal allocation of multiple resources like operating rooms (ORs), nurses, equipments, and so on; to the surgical demand of hospitals through auctions. The various resources of hospitals like ORs and nurses, are represented as factors or characteristics of a generalized resource. A resource (generalized) is a realization of factors like ORs, nurses, and equipments. That is a resource (generalized) is a specific set of nursing staff and equipments being assigned to a specific OR in a specific time-slot. Optimally allocating resources to various bids (surgical requests) and scheduling the surgical requests to various ORs without any conflict on any given time-slot of a day is an NP-hard problem. The proposed model optimally allocates client (practitioners or agents) bids to the available capacity of resources (generalized). We analyse the application of the model for a business scenario.

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Item Type: Conference or Workshop Item (Other)
Subjects: Health care and delivery
Operations Management
Depositing User: Users 7 not found.
Date Deposited: 03 Nov 2014 07:54
Last Modified: 03 Nov 2014 09:29
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