• A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers.

/pdf/opnameplanning-in-ziekenhuizen-zv91fv7afi.pdf

Opnameplanning in ziekenhuizen

/pdf/patient-scheduling-a-review-1tqup1gho1.pdf

Patient scheduling : a review

SARA (Scheduling And Resource Allocation) is a generator for an appointment and flow control system for outpatients of a hospital in which also inpatients have to be treated in the different laboratories. SARA is part of KRAZTUR, a system for a documentation and information system containing generators for data acquisition, printing, data evaluation and data presentation. SARA can be implemented by only defining the specific parameters for each clinic or hospital in a dialog mode. The user needs not to have DP-knowledge.

The DP-supported Appointment and Control System SARA (Scheduling and Resource Allocation)

This paper describes the results of calculating hospital admission dates by computer using a relatively simple scheduling process. The scheduling process was developed as an extension to an existing computer-assisted waiting list system being used in a department of Urology. Results were obtained by observing the behaviour of the system over periods of 6 months before and after extension, and by running the extended system as part of a simulation model. It is shown that the relatively simple computer scheduling process can be used to satisfactorily replace a substantial part of the former manual scheduling, and that the quality of data present in the computer-assisted waiting list system prior to extension was adequate to support the new process. The extension results in a significant saving of clinicians' time with negligible increase in running costs.

Computer-assisted scheduling of elective admissions.

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Computer-assisted scheduling of elective admissions.