ABSTRACT
With the advancement of medical technology and thus the complexity of the equipment under their care, clinical engineering departments (CEDs) must continue to make use of computerized tools in the management of departmental activities. Authors of this paper designed, installed, and implemented an application service provider (ASP) model at the laboratory level to offer value added management tools in an online format to CEDs. The project, designed to investigate how to help meet demands across multiple healthcare organizations and provide a means of access for organizations that otherwise might not be able to take advantage of the benefits of those tools, has been well received. Ten hospitals have requested the service, and five of those are ready to proceed with the implementation of the ASP. With the proposed centralized system architecture, the model has shown promise in reducing network infrastructure labor and equipment costs, benchmarking of equipment performance indicators, and developing avenues for proper and timely problem reporting. The following is a detailed description of the design process from conception to implementation of the five main software modules and supporting system architecture.
Subject(s)
Database Management Systems/organization & administration , Materials Management, Hospital/methods , Software Design , Systems Integration , Biomedical Engineering , Clinical Laboratory Information Systems/organization & administration , Computer Communication Networks , Delivery of Health Care/methods , Delivery of Health Care/organization & administration , Humans , Maintenance and Engineering, Hospital/organization & administration , Materials Management, Hospital/organization & administration , Models, OrganizationalABSTRACT
This paper puts forward a fuzzy inference system for evaluating the quality performance of service contract providers. An Application Service Provider was designed and put online, featuring surveys to establish the most useful indicators to evaluate the quality of the service. This model was implemented in 10 separate hospitals. As a result, the service cost-acquisition cost ratio in these cases was reduced from 16.14% to 6.09% in the period 2001-January 2003.
