in
a
medical
laboratory
equipped
with
automatic
analysers
G. Barbaresi,
G. E.
Martorana,
C.
Zuppi and
A.
Castelli
Istituto diChimicaBiologica, Universit CattolicaS.Cuore, Facolti di Medicinae Chirurgia, Viadella PinetaSacchetti664,
00168 Rome,Italy
Introduction
Recent advancesintheperformanceof automaticanalysers and
in computer technology, although both share the aim of
increasing speed, ease and operational capacity, have
para-doxically led to astalemate inmanyclinical laboratories.The
new autoanalysers equipped with computers are capable of
coping with a large analytical load, but often they can only
partly cope with the data management process and so they
increase laboratory tasks. Further, many hospital data
pro-cessing centres(DPCs),copyingtheiroldmanualproceduresare limited to clericalwork,which isagreat pity consideringtheir enormouscomputing powers [-1].
Laboratories often find that their advanced instrument
analytical capabilityis conditionedbytwobottlenecks: manual
inputoftestrequestsand memorizationofclinicalresults[2-1.
Sinceacentraldata-bankisnecessary forthecompleteclinical and statistical use of laboratory data in a large university
hospital [-3-],acomputerizedsystem has beendevelopedinthe
authors’clinical chemistrylaboratorywhich isconnectedtothe
DPC bymeansoffloppydisc informationtransfer. The system
allows positive sample identification by anautomatic optical
reader and,togetherwith on-lineanalyticalresultacquisition,it
ispossibletoprocess patient specimensatrandomastheyarrive
in the laboratory. This feature means that the delays and
difficulties encountered with an exclusively centralized
managementare avoided.
Materials
and
methods
Hardware
TheDPCintheauthors’teaching hospitalisequipped withan
IBMsystem, which is usedforgeneral accounting and, bymeans ofterminals and printers, for the admission office and other centralized servicesand laboratories.The authors’laboratory
usestheDPCasadata-bank(itmemorizespatient requests and
results, prints-out worksheets and clinicalreports).
The central system (seefigure 1) consists of the following
instruments:
IBM 370/138 (CPU [1 Mbyte memory]).
IBM 3340 (data-bank).
IBM 3344 (discunit).
IBM 3741 (recordingunit).
IBM 3287 (printingterminal).
IBM 2741 (printing terminal with
characters).
IBM 1403 (printer).
IBM 3747 (disc-tapeconversion unit).
OCR-B
The laboratory system is based on a minicomputer (the
P6060:Ing. C.Olivetti&C.
S.p.A.,
Ivrea,Italy),witha32-KbyteROMand 400KbyteRAMinfloppydiscs,equippedwithtwo interfaces for Olivetti standard peripherals and for analytical
instruments.The system comprises the following: Olivetti 6602 Olivetti 2132 Olivetti 6600 Olivetti Olivetti EIA SMAC CLINICAB PR 1230 OPR1830 wand (CPU). (ROM).
(IPSOstandardOlivettiperipheral
interface).
(printer [130 characters/s-I).
(automatic opticalreader for
OCR-B characters).
(seriesinterface for on-line’modem’
and/or
’current loop’ connectionwithinstruments).
(supplied by Technicon Inc.,
Tarrytown, New York, USA--a
sequential multichannel analyser
computerized for serum and
plasmasamples).
(supplied bytheAMES Company,
Division Miles Laboratory Inc.,
Elkhart, Indiana, USA, an
auto-mated urinalysis system).
Software
Programs for the P 6060 and connected peripherals are in
BASIC and were written bylaboratory staff. IBM programs
mentionedin thispaperweresuggested by the authors and then
writtenby DPC personnel.
System
description
Sample
flow
When the patients’ samples arriveinthe laboratory,theyare
pretaggedin OCR-Bcharacters.These tagsare automatically
producedwhenapatientisadmitted to thehospital and theyare
sent to thewards togetherwith the clinicalreport. Sarhplesfor automatic instruments areeasily recognizable: theircontainer
hasacoloured cap; theyareanalysedquicklyinacompletely
random manner. The results, sequentially furnished by the
analyseron-line to theminicomputer, are associated with the
sequence ofthepatient numbers printedontagswhich areread
by the OPR 1830wand (seefigure2). Inthisway a ’result file’
composed ofmany records is automatic,ally generated; each
recordismadeupofanalytical data and of patientidentification
(ID)numbers.
0142 0453/82/04040169$05’00
Request
input
3741
1403
Local
systems
SMAC
Clinilabbank
CPU
370/158
R T
dinal
term
2741
tags
P’6060
PR
1230
)
N
f
287
)
Patientsample
On-line results
record
J
Sample
tags
in
QPRor
eyboerd
inp Validation routinesIntegrative
procedures
Result
fileFigure 2. Result-sample linkage.
System efficiency depends upon the analytical and ID
sequence,so avalidationroutine isalso included.Ifautomatic
optical reading is not possible (as a result of blood spots,
misprinting etc.), then manual input by keyboard, used as a
remote peripheral,is allowed.
and sent directly to theDPC,wheretheyarestored, processed,
sequenced and, finally, printed on traditional worksheets,
disregarding test codes which require automatic instrument
analysis(seetable 1).Fortheselatter requests,asequential file,
made upof 128byte records,isgeneratedonfloppydisc. The
first32bytesofeachrecordarereserved for the memorization of
the patients’numbers(six bytes), oftheward codes(twobytes)
and of the patients’names(24bytes).The following 68bytesare divided into 17fields, fourbytes long, which areflagged only
when the corresponding test codeisrequested.
Filedata arealsotabulated.
Table1. Analytical tests:code and
field
number.Test Code Field
Glucose Ureanitrogen 2 2 Total protein 3 3 Albumin 5 4 Sodium 6 5 Potassium 7 6 Calcium 17 7 Chloride 20 8 Phosphorus 19 9 Creatinine 14 10 Uricacid 15 11 Totalbilirubin 11 12 Alkalinephosphatase 10 13 GOT 8 14 GPT 9 15 Cholesterol 16 16 Urinalysis 29 17
Result-request linkage
(see
figure
3)
SMAC analytical results
SMAC data records are logically set in numerical order by
patient number and matched with request records; only
re-questedresultsarestored. Itispossibletomanuallyenterthose
results which, because of momentary instrument failure,sample
turbidity, out ofrangevalues andcarry-over,forexample,were
notcorrectly supplied bytheSMAC,orwhichwereconsidered
unreliablebyareal-timequality control program [4]. At the end of the linkage procedure, patients’ numbers without requests and their related results are automatically listed.Similarly, outstandingrequestsareprintedout.Finally,
pathologicalresultsofnon-requested parametersarereportedin
aprintedlist.
CLINILABurinalysis results
CLINILAB data records generate worksheets for sediment
microscopy and for glucose and protein quantitative assays
following analysed sample sequence (seefigure 4). Up to five
parameters for each sample are provided in the microscope
examinationworksheet.Eachparameterisidentifiedbya
three-digitnumber:twofor the kind and one for thequantity.Inthe
work-list forglucose and protein quantitative assay onlythose
samples with abnormal qualitative results are printed, each
urinespecimen beingidentifiedbythepatientnumber andbythe
CLINILABsequence number.
Analyticalresultscanbeenteredbykeyboard, by worksheet
orbothandinput accuracyiscontrolledbyavalidation routine.
Urinechemistry and microscopyresults arestoredon a
DPC
P6060
Request
fileResult
fileRequest
record
Patient
number
Result
record
Patient
number
Smaller
number of
No
The
No
requests
same
number
Smaller number of
requests
Outstanding
request
Yes
Requestless
No
Result noticed
Clinilab
data record
Microscopy
]
Glu’cose
No
Figure 4. Subsidiary worksheets
generated
from
CLINILAB data records.
for specific gravity and a two-bytefieldfor pH; six fields, one
byte each,for qualitativeassays(glucose, protein, haemoglobin,
ketone bodies, bilirubin and urobilinogen); two fields,
three-bytes each, for possible glucose and protein quantative
determinationsand, finally,fivethree-bytefieldsfor microscope
findings. All these records are numbered in order and then
matched with request records for linking. At the end of this
procedure, results of patient samples without requests and
outstanding requestsare automatically noted.
printing. Reports can, ifr6quired, be printed directly by the
laboratory’s PR 1230,wardbyward.
Discussion
WhentheSMACwasintroduced intotheauthors’ laboratoryin
1978, analytical capabilitywasconsiderably increased and the
laboratory’s clerical work-load grew with it. Many manual
operationshad tobeperformedtopersonalizeclinical reports
andSMACkeyboardentry of census data takesupalotoftime.
Thisworkisalsounnecessary because thesedata arealreadyon
fileintheDPC.The authors also discovered thatmanuallinking
ofthe SMAC IDEEsystem withpatient number and related
datais liable to humanerror.Anotherdrawback ofthe usual
SMACprocedureisthatitsreports,printedonpaper,cannotbe
directlytransferred toadata-bank unless they have previously
been transformed byfurther manualprocedures.
Asfar as CLINILABisconcerned, the instrument gives a
non-personalized report limited to physical and qualitative
tests.
In order to fully exploit the SMAC’s analytical capacity,
which is morethan 1500tests, andtocomplete the CLINILAB
urinalysisreports,alocal informationsystemwasdeveloped by
the authors.Itisintegratedwiththe centralsystemandpermits
the random management of samples and results and the
automatictransfer of information to and from the DPC. The
adoptionofan automatic optical reader(anOPR 1830wand)
permitssampleidentificationand, therefore,on-lineacquisition
of ’personalized’ result records. With theuse ofa floppydisc, censusand testrequest dataaretransferred fromthe DPCtothe
laboratoryeachday.Theauthors’program providesfor
auto-maticlinking of information from theDPC and of theresults
fromon-lineanalysers.Thesedata, processed and completedif
necessary,arestoredonfloppydisc.Theauthors preferfloppy
disc to tape and to remote on-line connection becausetapes do
notpermitadataoutputcontrol and validation routine[5],and
on-line connectionwouldmeanthat the laboratory wouldbe
dependenton theDPC.With thistype ofdistributedlaboratory
computing, theproblemsofanalyserswithdigital output, but
notprovidedwith autonomouscomputerized data equipment,
likeCLINILAB,are also solved.
The use of floppy disc for data exchange between the
laboratory andtheDPC allows easyinformation retrieval for
clinical and statistical research. The system proposed in this
paperischeap, hasaproven versatility andisvery easytouse.
Acknowledgements
This work was supported ’by the CNR research grant
N.80.02256.83,as partof the ’Preventivemedicine’project.
References
WHITCOMB, C.C., VOGT,C.P.andWILBUR, N. M., Computersin
Biology andMedicine,8(1978),197.
GROVES, W. E., American Journal ofMedical Technology, 44 (1978),575.
WYCOVF, D. A.andWAGNER,J.R.,AmericanJournalofClinical Pathology,70(1978),390.
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