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BOOKS OF RtfiDIfGS - PAHO/WHO

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.oó'io..o. M..:an. V1it. Vol, 0, PP. {5g-lb6. lerogsrlm Pies., 1976. Printed in GfetI Bilnain<br />

PATIENT _LOW ANALYSIS AND THE<br />

l)FlIVFI,¡Y <strong>OF</strong> RADIOLOGY SERVICEt<br />

BENJAMI N L¿E;, GEORGE REVESZ§, FRANCIS SHEA§<br />

aind ROBERT CALTAGIRONE§<br />

Temíple Universily, Plhiladelphia, PA 19122, U.S.A.<br />

(Received 5 February 1976)<br />

- 108 -<br />

Abstract-in recent years there has been an increased awareness regarding the cost of radiologic health care, and the<br />

patient delays encountered in the delivery to the consumer. The purpose of this paper is to demonstrate that, at least<br />

in one case in the Diagnostic Radiology Departinent al Temple University, the assumplion that better service can be<br />

given to patients provided more technicians and orderlies are available, is not valid. The facts tend to indicate that the<br />

real problem lies in scheduling techniques, and improved utilizalion of available equipment. Therefore, it is safle to<br />

conclude that for improved radiologic services, the emphasis should be directed iowards the design of the management<br />

systems and scheduling techniques, and not the staff andior facilities.<br />

INTRKOU;C'LION<br />

At a time, when there is a continued increase in demand<br />

for health care service,it is assumed that a reason for<br />

inclfrclivc scrvie lo pafients is the shortage of manpower<br />

and facilities. An analysis of Ihe I)i>gnostic Radiology<br />

Department (DRD) at Temple University Hospitai was<br />

organized, searching for reasons associated with the long<br />

waiting times of patients in the DRD and the low<br />

utilization of ecuipment. It has been previously assumed<br />

that betrer service could be presented to the consumers if<br />

more technicians, orderlies and examination rooms were<br />

available at the hospital. However, such a move would<br />

have a tendency to increase the costs of radiologic<br />

services al a time when costs are increasing at an alarming<br />

rate. In many instances, managers suspect reasons for<br />

their inefficient systems performance, but it is only after<br />

an in-depth study is made that the basic causes of the<br />

inefficiency are evident. Moreover, the suspected reasons<br />

appear to be of secondary importance.<br />

In this particular case, the long periods of patient<br />

waiting time cannot be decreased by adding more<br />

technicians or orderlies as some had surmised, but that<br />

patient waiting time can be reduced by improving<br />

scheduling techniques. Better management methods; such<br />

as more sophisticated scheduling algorithms, automated<br />

systems and computer control can be utilized with the<br />

present staff and equipment. The effects will contribute to<br />

decreased patient waiting time, and the total time spent in<br />

the DRD. At the same time, patient service capacity<br />

shouid be increased in the DRD with the present number<br />

of rooms, technicians, orderlies and staff. This increased<br />

cpacity will then enable administrators to accommodate<br />

the expected increase in demand for radiographic services<br />

as predicted in Knowles II, Morgan[2] and National<br />

Advisory Committee on Radiation[3].<br />

Recently, there have been several reports alluding to a<br />

potential shortage of radiologists in thc United States in<br />

the near future. This potenlial shortage is predicted since<br />

the demand for radiologistís' time is increasing al a more<br />

tl'his work w;s supportedl in p;rit hy (¡;tl;' ;M 1454S8-0(.<br />

National Institute of General Medical Scienet,, United States<br />

Public Health Service. All correspondence shoul) be direcled lo<br />

the first author.<br />

tSchool of Business Administration.<br />

§Department of Diagnostic Radiology.<br />

1Table I lists and explains all symbols.<br />

rapid rale than is the supply of radiulogists. Any new<br />

national health insurance program, if enacted, would<br />

presumably cause an even greater inbalance between the<br />

demand for radiological services, and the supply of<br />

radiologisis.<br />

Improvements in DRD can be categorized in three<br />

areas. The first is increased utilization in personnel and<br />

facilities which has been reported by Lindhein[4] and<br />

Revesz et a1.(5,6]. The second area is improvements<br />

attempted by simulation technique. See studies by Covert<br />

et al.[7], Jean et al.[8], Kenny and Murrayl9] and<br />

Lodwick[10]. The third area emphasizing Computer<br />

Scheduling and Control is reported in Donald and<br />

Waxman[Ill, Hansen and Sniderll[2 or Hsish(13].<br />

Computerization of manual methods has demonstrated<br />

that scheduling can also be applied to large departments.<br />

To date, however, no mention has been made of an on-line<br />

scheduling system, which can be dynamically updated as<br />

the patients are processed. In addition, limited research<br />

has been conducted concerning the development of<br />

scheduling rules which have general applicability.<br />

In view of the many possible policies that can be<br />

considered for improving the delivery of radiologic care,<br />

it is necessary to present the data quantitatively for<br />

analytical purposes. Consequently, this paper will investigate<br />

some of the effects of these policies on the DRD. In<br />

most instances DRDs at hospitals are confronted with<br />

similar problems. The methods of providing radiological<br />

services is apparently identical at all departments. The<br />

patient arrives at the department and immediately enters a<br />

sequence of service facilities, which culminates with an<br />

X-ray examination. It should be recognized, however, that<br />

departments may differ in the number of examination<br />

rooms, the procedure used andother non-major facilities. In<br />

most DRDs, however, the patient flow is basically the same.<br />

It appears to be more logical and convincing to analyze the<br />

DRD at Temple University Hospital, using its specific data<br />

and not discuss a hypothetical DRD. Moreover, the<br />

generalized model developed in this study is of sufficient<br />

generality to be associated with the DRDs in most hospitals<br />

with no more than minor modifications.<br />

SYSTEM DESCRIP'lION<br />

The system under study is the Temple University DRD<br />

which has an annual volume of 72,000 X-ray examinations.<br />

The service is provided both for inpatients (IP) and<br />

outpatients (OP), and the ratio of IP/OP is 55145. Figure

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