Economic Impact of a Computer-based Centralized Organization in a Clinical Laboratory BERL NUSSBAUM, M.D., TATE MINCKLER, M.D., ROBERT ROBY, M.S.E.E., AND EUGENE ACKERMAN, Ph.D. Nussbaum, Berl, Minckler, Tate, Roby, Robert, and Ackerman, Eugene: Economic impact of a computer-based centralized organization in a clinical laboratory. Am J Clin Pathol 67: 149-158, 1977. The Department of Laboratory Medicine, University of Washington, has explored various management and organizational approaches over the past seven years. The Centralized Processing Area supported by a computerized information system has evolved from these efforts. Despite a decrease in U.W. hospital usage since 1968-69, laboratory volume hi;s steadily increased. The cost of these services is shown in relation both to three successive management systems and to the impact of inflation on laboratory costs. Chemistry and hematology costs per procedure, including administration and computer costs, are compared with microbiology cost per procedure, where the management system was not used. There is growing acceptance of the intangible benefits of computerization in the laboratory. Economic benefits are often presumed but have not been proven. Favorable economic effects of the Centralized Processing Area together with the computerized information system are demonstrated. (Key words: Computer; Automation; Information system; Economics of computerization.) Department of Laboratory Medicine, University of Washington, Seattle, Washington 98195 Some authors have written about evaluation of computer systems, 26 and others about medical systems and technology. 12 ' 131517 ' 25 Particular attention should be called to two papers by Flagle 9,10 that we have found most useful in understanding the complexity of evaluation of technologic systems used in health care. The current paper is concerned with the economic impact of the computer systems within the clinical laboratories that are operated by the Department of Laboratory Medicine at the University Hospital and at Harborview Medical Center. It is not possible to distinguish between the impact of the computer-based information systems per se and that of the laboratory organization necessary to make optimal use of these systems. Within this limitation, it is our hypothesis that the use of computer technology has led to reduced costs per test simultaneously with the provision of a wide variety of benefits to the medical staff using the laboratory results. It is our hope that by providing specific data, the methodologies described can be used to compare the performances of other systems and other clinical laboratories. COMPUTER-BASED INFORMATION systems have become a part of a variety of health care delivery systems. The era when such applications were of interest for their novelty and their promise of future benefits is long past. Rather, the real current benefits of such systems have been well documented. 3_s,na4,23 ' 24 However, less is known about the economic impact of automated information systems on the clinical laboratories in which they are embedded. Only a few investigators have presented such evaluations. 2 ' 16 ' 22 On the other hand, the number of papers dealing with the importance of evaluation of medical systems is large. Methodology Received July 29, 1975; received revised manuscript March 25, 1976; accepted for publication March 25, 1976. This study was performed while Dr. Ackerman was on a year's sabbatical leave from the Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota 55455. Dr. Minckler is presently Administrator, Pathologist, Mad River Community Hospital, Areata, California. Address reprint requests to Dr. Nussbaum. 149 It is possible to take a variety of approaches to the evaluation of the economic impact of automation in the clinical laboratories. Probably the most important is to determine the effects on the care provided to individual patients. This, however, is far beyond any means available today. A related approach is in terms of costbenefit ratio. This implies some method of assigning monetary values to the various benefits obtained by use of a computer-based information system. While this is possible in theory, it involves major subjective judgments. 150 A.J.C.I'. . February 1977 NUSSBAUME7/1Z,. Alternative approaches more closely related to a cost-effectiveness ratio are discussed by McLaughlin.16 We have followed some of the types of approaches recommended by him. Specifically, we have used cost per determination and cost per patient day as important variables. Cost as opposed to revenue seems significant, because revenue involves administrative decisions having little direct bearing on laboratory performance. Total cost of laboratory operations is confounded by the changes in total numbers of tests performed. Cost per labor hour is also difficult to delineate based on the records available, although in a prospective study this would seem an important measure. Thus, the measures described in the previous paragraph have proven most useful. In some analyses of economic impact a micro approach is taken, wherein the unit cost of each specific type of determination is considered or even subdivided further. McLaughlin mentions that a macro approach, lumping the costs of large subsections of the laboratory, is more useful. This is particularly true due to the widespread and multifaceted interactions of a computerbased information system with the clinical laboratory. Our report differs from McLaughlin's study, however, in several respects. One is the availability of appreciable longitudinal data. Another is the existence of an internal, largely non-automated, laboratory, which provides a certain measure of control. A third is that due to the staggering rate of inflation in recent years, we have provided data both as raw dollars and as constant 1969 dollars. Our basic approach in this study has been to examine cost and census data for each fiscal year, starting with 1969 (July 1, 1968, to June 30, 1969), one year prior to the installation of the first computer system, and ending with 1975 (two years after the installation of the current system). The raw data consist of: (a) laboratory direct costs and number of procedures performed (SMA-12 battery = one procedure, urinalysis = one procedure, etc.), which were obtained (with breakdown by division where necessary) from annual laboratory reports and other financial records; (b) total admissions, census days and outpatient visits, obtained from annual hospital reports. Each of our final measures (average cost per procedure, tests per patient day, etc.) is derived by calculation from these raw data. Several major features of these data should be noted. First, only direct laboratory costs are included, since figures for such laboratory necessities as space, light, heat and power (indirect costs) are both arbitrarily assigned by the hospital and difficult to obtain. Second, few major capital equipment purchases occurred during the period of the study: (a) Coulter S and GeMSAEC analyzers at University Hospital in 1969 and 1973, respectively, and an SMA 12/60 at Harborview in 1971. These are included in our figures. However, the cost of each is depreciated over ten years; as such, capital equipment expenditures represent less than 2% of laboratory costs during any single year. Third, the portion of faculty salaries paid from the Laboratory Medicine budget is included. As the faculty has grown in the years of this study, so has this absolute cost increased. However, since the increase has been proportional to the rest of the laboratory budget (and since faculty are certainly in a position to influence laboratory efficiency!) we have chosen not to exclude all faculty salaries from our figures. In addition, billing data have been excluded since they indicate more about administrative assessment of typical charges in the community than how the laboratories function. Before looking further at this information, it is helpful to have an overview of the hospitals, the laboratories, and the information systems involved. Hospital Setting The University of Washington has two primary teaching hospitals: University Hospital (UH) and Harborview Medical Center (HMC). University Hospital, a 297-bed facility, is the major referral center for the Western Washington region. It is physically proximate to the University of Washington School of Medicine, and has a clinical research service that admits 300-500 patients per year. Other notable features include a newborn intensive care unit and an active transplant surgery department. Admissions have been approximately stable at about 10,000 per year, while outpatient visits have increased in this period. Harborview Hospital is a 245-bed county hospital (down from 364 beds in 1968-69) serving Seattle. Like the University Hospital, it has a small clinical research center. However, it has no obstetrical or newborn service and no inpatient pediatric service; it has a satellite neighborhood clinic, a busy emergency room, and a walk-in clinic, which together see nearly 50,000 patients per year. Admissions, most of which are through the emergency room, have declined in this period. Combined statistics for the two hospitals are discussed in detail later. Clinical Laboratories The University of Washington Department of Laboratory Medicine (separate and distinct from the Department of Pathology) operates the laboratories at both Harborview and University Hospitals. Thus, within a single department there is considerable overlap in tests performed at the two sites, particularly in Vol. 67 . No. 2 ECONOMICS OF COMPUTERIZED LAB OPERATION general chemistry and hematology, e.g., both hospital laboratories have Coulter counters and 12-channel AutoAnalyzers. On the other hand, all coagulation and immunology tests are done at the University Hospital, while all toxicology tests are performed at Harborview. From the fiscal point of view, there are five major divisions of the Department of Laboratory Medicine with which this study is concerned: Chemistry, Hematology, Microbiology, Computer, and Administration. A significant feature here is the further separation of the first three divisions into routine and developmental units. The developmental units include Coagulation, Genetics, and Hemolysis (whose fiscal data are included under Hematology), Immunology and Steroids (whose data are included under Chemistry) and Virology (included with Microbiology). In a real measure, the existence of the developmental laboratories allows the entire Department of Laboratory Medicine to fulfill its mission as part of a university health sciences teaching complex. Several economic features distinguish these developmental laboratories. One is the purchase of some equipment that is included in our direct cost figures completely within the year of the purchase. Another is the intensive use of technologists in test development. This results in very low numbers of procedures per technologisthour and very high direct costs per procedure as compared with the routine laboratories. Central Processing Areas In an effort to streamline laboratory specimen and data flow and to obviate performance of clerical and nonanalytic tasks by registered medical technologists, a computer-assisted Central Processing Area has been established at each hospital. Staffed by certified laboratory assistants or the equivalent, the Central Processing Area performs virtually all laboratory functions except specimen analysis and entry of results into the computer.1820 These functions include blood drawing and separation of serum, log-in of patient and specimen data to the computer at time of receipt, distribution of specimens and worklists to the various laboratories and of reports to the floors, clinics and physicians, and telephone handling and information service. Of the 160 full-time equivalent persons employed in the two laboratories (1973-74), 35 are central processing technicians. The overall organizations of the Central Processing Areas are virtually identical for the two hospitals. Differences in the day-to-day operation of the two laboratories arise from the differences in the hospitals. Thus, University Hospital, being larger and a referral 151 center, tends to have a higher volume (about 650 requests/day, 25% stat) and a more efficient hospital communications system. Harborview, by contrast, has a significantly higher percentage of stat laboratory requests (about 35% of total volume) and a smaller volume (about 450 requests/day). Reports and Specific Computer Functions Among the principal benefits of the computer system is the large variety of report formats available for both hospital and laboratory use. A cumulative summary is printed daily for each patient and placed in the patient's chart. In addition, interim reports containing only new data (for ward or clinic use) are printed once or twice a day. Reports are printed several times a day for all tests requested in the "TODAY" category (expedited handling). Physician reports are printed daily. Finally, upon completion of all of a patient's tests a chartable discharge report that becomes part of the patient's permanent record is generated. Within the laboratory, printed worklists and specimen lists are made periodically through the day. Pending test lists are made daily. A blood collection list is made twice daily, and specimen labels are printed at the time of log-in. Cathode-ray tube terminals (CRT) are used by Central Processing Area staff to inquire into patient records when information requests are received by telephone. Finally, a cartridge disk copy of all system information is made several times a day, to function as a back-up in the event of a system failure. Microbiology Division The Microbiology Division operates completely independently of the computer of Central Processing Area. It currently maintains its own specimen handling and records at each hospital; billing and reporting are done manually. Within the next two years, it is anticipated that microbiology will be incorporated into the computerized operation. For the purposes of this study, however, it functions as an internal control. Computer Systems The original laboratory computer, which began operation in March 1970, was a batch-oriented system based on an IBM 1800 processor. This system, which supported both Harborview and University Hospital, provided several laboratory computer functions for Chemistry but provided only billing for Hematology. The FORTRAN application programs were developed by the Computer Division staff, which at that time 152 A.J.C.I'. . Fchn n> 1977 NUSSBAUMET/tZ.. I 300 200 280 190 260 180 18.0 240 170 17.0^ 220 160 16.0 200 150 15.0 20.0 69 & <f ~~-A 70 71 72 73 Fiscal year •£> 74 75 FIG. 1. Hospital use at the University of Washington. These data show changes from 1969 to 1975 in admissions, census days, and outpatient visits. The values shown on this figure as well as all other figures in this paper represent combined data for the University Hospital and Harborview Medical Center. consisted of two programmers and four computer operators. Laboratory Administration provided three keypunch operators, for a total of nine full-time equivalent persons directly involved with computer operations. The system functioned well, but by late 1971 it was evident that the growing laboratory workload would soon exhaust its capabilities, and a search for a new system was instituted.1" This search culminated in the selection of a system offered by Automated Health Systems, Inc. (now Advanced Medical Services).1 It was decided to install individual Automated Health Systems computers at Harborview and University Hospital. Due to advances in mini-computer technology, the cost of both new systems was less than the cost of the single original system. Moreover, because the new systems were more compatible with the Central Processing Area concept, fewer computer personnel were needed to maintain and operate the new system. At the present time the direct computer staff consists of four full-time equivalent persons: a computer systems manager, two programmers, and one maintenance specialist. Because the computer system configurations at the two hospitals are very similar, a description of the Harborview system will suffice. The basic hardware consists of Digital Equipment Corporation PDP-11/45 processor with 28K of core memory. Peripheral devices include a fixed-head disk system (one million 16-bit words), two cartridge disks (2.4 million 16-bit words), a seven-track magnetic tape, a 350-line/min line printer, a label printer, eight on-line cathode-ray tube terminals, and two teletypes. Data acquisition from automated laboratory instruments (SMA-12/60, Coulter Model S) is supported by the PDP-11/05 preprocessor interfaced with the main processing unit. The operating system is a multi-user single-language system known as MUMPS (Massachusetts General Utility Multiprogramming System). The application programs, known collectively as MULTILAB, provide both laboratory computer functions (some of which have already been described) and management information functions, including billing and usage statistics. The billing functions are initiated at the time of log-in of each specimen, and culminate in the daily production of a magnetic tape, which is conveyed to the hospital computer system for integration with the rest of the patient charges. Special MULTILAB programs exist to permit crediting and billing for grants, to provide for outside hospitals and for unusual tests, and to print cumulative lists of such transactions. Tallies of laboratory tests, categorized by request priority (stat, today or routine), test name, patient location (inpatient or outpatient or outside hospital), and laboratory division (chemistry, hematology, immunology, etc.) are printed daily. Other functions include daily patient tally by ward and monthly divisional tallies. Throughput times (time between log-in and completion) for a variety of laboratory functions (e.g., blood gases) and computer error trap (a listing of all program errors occurring during the preceding 24 hours) are available. Many of the foregoing are performed 2.00n 1.75 -6 1.25- 0.75- 0.50 0.25 FIG. 2. Intensity of laboratory usage. Over the period fiscal 1969 to fiscal 1975 there has been an approximate doubling in both procedures per inpatient day and procedures per outpatient visit. 153 ECONOMICS OF COMPUTERIZED LAB OPERATION Sol. 67 • No. 2 during the so-called midnight function, a nightly supervisory program lasting several hours that coordinates a variety of discharging, editing, tallying and condensing functions. Mathematical, administrative and tab data functions are available for use at any time, and provide capabilities for, respectively, calculations, examination or alteration of patient demographic or administrative data, and examination or alteration or addition of tests, test filing structure or codes. 4 50-1 4.00 / s 3.50- 3.00- J/ 2.50- Results and Analysis of Data A Hematology • Chemistry Hospital Baseline Statistics The evaluation of factors affecting laboratory economics is complex, due in no small part to the everchanging milieu in which the laboratory functions. Among the more significant influences are some general hospital characteristics that have been in flux over the period of this study. In company with many hospitals across the country, the University of Washington has experienced a shift from horizontal toward vertical health care, that is, from inpatient to outpatient emphasis. Figure 1 illustrates a tendency to declining annual admissions (a 10% decrease over the seven years), and an even larger decline in inpatient census days (15% decrease). The relatively larger decrease in census days is due to constant pressure to shorten ° • A * 600-i Total lob procedures Chemistry divisions Hematology divisions Microbiology divisions <3 400 300- 1.50100- 0 50 71 72 Fiscal Year FIG. 4. Costs per procedure. The curves express the costs of the chemistry, hematology and microbiology divisions, as well as the lumped administrative costs associated with all three of these and the computer costs for the chemistry and hematology divisions. Data for both routine and developmental laboratories are included. All data are expressed as cost per procedure. Intensity of Laboratory Usage 200 100T 69 <§ the average stay of each inpatient. The average stay during the two-year period 1968-70 was 9.5 days, whereas during 1973-75 the corresponding figure was 8.5 days. Also shown in Figure 1 is the increase in outpatient visits from 238,000 in 1968-69 to 248,000 in 1974-75. The additional 10,000 annual outpatient visits represent a 4% increase. 500- | * Microbiology D Administration (CPA + ) • Computer 2.00- 70 72 Fiscal 73 A- * 74 75 Year FIG. 3. Laboratory procedures per year. Illustrated are time courses of the changes in laboratory procedures per year in the clinical laboratories of the University of Washington hospitals. The curves show the totals for fiscal 1969 through fiscal 1975, as well as the separate values for the major divisions, namely chemistry, hematology, and microbiology. The intensity of use of laboratory procedures as shown in Figure 2 has more than compensated for declining admissions. Because of this, the trend of laboratory volume has been upward. Figure 3 demonstrates that all areas of the laboratory have participated in this increasing volume, although in different proportions. Total laboratory volume has increased about 62% in the seven-year study period; however, in each of the last two years the annual volume increase exceeded 10%. The combined Chemistry Divisions have seen a 95% increase, while the combined Hematology Division volumes have increased only 34%. In both these Divisions the principal changes have occurred in the A.J.C.P. • February 1977 NUSSBAUM£TAL. 154 4.00- tenance of the two laboratory computers and related gear, paper and supplies, and the salaries and fringe benefits for the computer staff. The total of these direct expenses is divided by the combined total of Chemistry and Hematology procedures only, since Microbiology is not currently serviced by the Computer Division. • Chemistry A Microbiology A Hematology 3.50- / 3.00- / 7 *' 2.50- \^.-,-/ Developmental divisions Inflation Factor h^ _ S 2.00- Central processing area SMA 12/60 Coulter "S" 1.50- First computer 100- New Lob computer Dept Lab Medicine 050 69 70 71 72 Fiscal Year D Administration • Computer 73 74 75 FIG. 5. Adjusted cost per procedure. This figure is similar to the preceding one, except that the data in Table 1 have been used to adjust for inflation to constant fiscal 1969 dollars. Also illustrated in this figure are certain major laboratory milestones. last two years. Microbiology volume has increased 53% in steady increments. It should be remembered while reviewing these data that procedures are "lumped" in our statistics, i.e., complete blood counts, SMA-12, urinalysis, electrolytes, etc., are each one procedure. Were we to count individual elements of procedures, the laboratory volume for 1974-75 would exceed 1.7 million tests. Direct Expense per Procedure As suggested by McLaughlin, one means of assessing laboratory cost-effectiveness is the computation of cost per procedure, which is presented in Figure 4. The per-procedure costs for Chemistry, Hematology, and Microbiology are derived by dividing the total direct expenses for each by the number of procedures done by each. Direct expenses in our institution include salaries, wages, and fringe benefits, and all operating costs such as lease and rental, minor equipment, and all supplies. The Administrative cost per procedure is obtained by dividing the Laboratory Administration Expenses by the total procedures done by the department. The Laboratory Administration budget includes the Director's office staff and the Central Processing Area staff plus all related direct costs including, for example, all blood-drawing supplies used in the hospitals. The Computer Division costs include lease and main- Evaluation of the data in Figure 4 is made difficult by the impact of inflation, with which we are all familiar. In order to provide a comparison baseline against which to interpret changes more meaningfully, we have recalculated the cost per procedure data adjusted for inflation, which for 1974-75 is 145% of the 1968-69 value. Figure 5 presents information identical to that in Figure 4 but, using United States Government inflation statistics, the data in Figure 5 have been computed to standardized 1968-69 dollars. These are what the cost per procedure curves would show if there had been no inflation since 1968-69. Table 1 shows the inflation figures from which the adjustments have been made. This table represents a modification (to show statistics for fiscal years) of the Consumer Price Index,21 which in the original uses 1967 as the baseline and in which figures are given for calendar years. Thefigurefor fiscal 1975 is a projection. Obviously, the shape of the adjusted curves is dependent upon the particular index of inflation employed. We chose, somewhat arbitrarily, the Consumer Price Index (the purchasing power of the dollar for all items, at the consumer level). Various alternatives exist. Among these are wage statistics and the Wholesale Price Index, which are, like the CPI, compiled by the U.S. Labor Department. Annual statistics (University of Washington Hospitals) for laboratory billing per procedure and hospital billing per visit or per patient day are also available and could be used to show inflation. These latter have the ostensible advantage of reflecting local events more closely. Table 1. Inflation Rate by Fiscal Year* Fiscal year Inflation Rate, % (Rounded to Nearest whole Number) 1969 1970 1971 1972 1973 1974 1975 100 106 111 115 121 131 145 * The data in this table are based on the U.S. Labor Department's figures for the Consumer Price Index.21 155 ECONOMICS OF COMPUTERIZED LAB OPERATION Vol. 67 • No. 2 150 Clearly, none of these alternatives is entirely satisfactory since, in one way or another, each reflects events and decisions unrelated to the laboratory or to laboratory costs as such. As it turns out, many of these measures have risen more or less in step with the Consumer Price Index, which in the aggregate appears to be a reasonable and accessible convention to employ. Separation of Routine from Developmental Cost per Procedure Data As has been discussed elsewhere, there is a large developmental component in our University Laboratory activity. For comparison, Figure 6 looks at the cost-per-procedure data of the three divisions, considering routine (not developmental) costs and procedures. The developmental divisions did not begin until fiscal 1971, so that data for 1969 and 1970 are identical to those in Figure 4. The routine cost per procedure curves show less dramatic increases, as might be expected. Also in Figure 6 are shown the same routine costper-procedure data adjusted for inflation. These data ROUTINE 4.00 COST/TEST / / 72 73 Fiscal Year FIG. 7. Relative volume and cost per procedure. The growth and relative changes in cost per procedure for the three major divisions, chemistry, hematology, and microbiology. All values are expressed as percentages of the fiscal 1971 values. Data are for the combined routine and developmental laboratories and are not adjusted for inflation. The latter adjustment (not illustrated) causes a marked drop in the relative costs per procedure for chemistry and for hematology for fiscal year 1975, while eliminating the sharp rise in the cost per procedure for microbiology following fiscal 1972. / /' 3.50- 71 y 3.00; 2.50• Chemistry divisions A Microbiology divisions ^ Hematology divisions 2.00- Rates of Change in Volume and Cost per Procedure 1.50- 2 00' ROUTINE COST/TEST ADJUSTED FOR INFLATION .50 69 also compare with those in Figure 5. It can be seen that while Microbiology costs remained fairly stable, both Chemistry and Hematology costs per procedure have declined since 1971. 70 71 72 73 Fiscal Year 74 75 FIG. 6. Cost per routine procedure. Both raw data and inflationadjusted data are presented. These curves differ from the corresponding ones in Figures 4 and 5 in that the present figure includes only data for the costs of the routine laboratories and excludes developmental laboratories. Another means of assessing cost effectiveness is to compare percentage changes in volumes of procedures over time against percentage change in cost per procedure over time. These relationships are presented in Figure 7 for the three divisions—1971 has been used as the baseline of 100% because that is the year that the first computer and Central Processing Area became effective and also the year that the developmental division began. Developmental data are included in these curves, which are not adjusted for inflation. All divisions show volume increases of about 25% since 1971. Both Chemistry and Hematology have less cost increase than volume increase, whereas Microbiology shows a considerably greater increase in cost than in volume. NUSSBAUMET/4Z.. 156 Discussion The most outstanding feature of the economic data is that the Chemistry and Hematology costs per procedure increased at slower rates than inflation, while the corresponding values for Microbiology increased at a rate comparable to inflation. It is tempting, therefore, to assign the favorable behavior of Chemistry and Hematology to their use of computer systems or, at any rate, to the organization of specimen flow and information pathways made possible by the computer and the Central Processing Area. A number of factors might influence this conclusion. The more important ones are discussed in the following paragraphs. First, one might look for an abrupt decline in cost per test when the original computer became operational in 1970 and another when the current Automated Health Systems model was installed in 1973. Such sharp breaks are missing from the data. In part, this is due to lumping data by fiscal years rather than analyzing them on a month-by-month basis. A more important contributor to the absence of a sharp decline is the gradual phase-in of the computer system and the correspondingly slow changes in the patterns of laboratory personnel task assignments. There also has been a gradual, stepwise build-up of the support the computer systems offer to the laboratory. Thus, these curves show trends rather than abrupt changes. The data for University Hospital and Harborview Medical Center are so entwined that there appeared no way to separate them realistically. The division into procedures done at both locations and those performed at one location for both hospital complexes has represented to a major extent administrative decisions having little or no bearing on the computer system details or performance. Thus, all the treatments in this manuscript represent macro-economic data. Were microeconomic data available, these might permit the assessment of the relative effectiveness of the computer and the Central Processing Area for different tests and different processes (e.g., log-in, result entry, and cumulative reports). However, microeconomic data require more subjective interpretations and are confounded to a greater extent by administrative decisions. Accordingly, the data presented appear to be optimal for displaying the overall economic impact of the computer-based automation and the Central Processing Area. In the last regard, particular attention should be called to the method of inclusion of the procedures on the SMA 12's and on the Coulter S. A complete set of 12 test results on the SMA 12's or any subset thereof is counted as one procedure, and all seven Coulter S A.J.C.I'. . Fchniiii) 1977 values or any subset thereof are counted as one procedure.* In this fashion the use of these automated devices leads to a cost per procedure higher than the laboratory average. (If, on the other hand, an SMA 12 battery were counted as 12 determinations, then the cost per determination would be much lower than the laboratory average.) Since the fraction of laboratory determinations performed on SMA 12's and the Coulter S has increased slightly during the period studied, our method of accounting would be expected to show an increase in the average cost per procedure due to this change. That in constant 1969 dollars there was a reduction in cost per procedure adds emphasis to the effectiveness of the laboratory computer system and Central Processing Areas in reducing the real costs of laboratory operation. A closely related question is whether the improvements noted in this report could have resulted from greater economies associated with the increased test load. Were space included in the costs, a major reduction in cost per procedure could be anticipated due to the more intensive utilization of the same equipment and space. However, this is not part of the data presented in this paper. The growth in test volumes necessitated an increase in numbers of technologists, since there is normally no slack time. The only direct savings due to larger numbers of tests accrue from reduced set-up time and reduced set-up reagent costs. These types of expenses represent a small part of the total laboratory cost even at the levels existing at the beginning of our records. Any reduction iii this small fraction would probably be hard to detect on the scale on which the figures are plotted. Thus, the reductions seen in the costs per procedure in our figures do not seem to be significantly influenced by the growth of laboratory utilization. A major change in test mix could conceivably alter the cost patterns. Within the routine laboratories such alterations did not occur. The effects of the developmental laboratories are discussed in succeeding paragraphs. A major change in administration and in personnel started in fiscal 1969. It is impossible to separate this from the effects of the computer and of the centralized processing organization. The growth of the developmental laboratories, in which intensive use of labor and equipment tends to (variably) raise the cost per procedure, further frustrates attempts to attribute savings to one feature or another of our laboratories management. We have at* Actually each complete blood count was counted as one procedure whether the Coulter S was used or other methodologies were employed. \ o l . (.7 • No. 2 ECONOMICS OF COMPUTERIZED LAB OPERATION tempted to correct for the effects of these portions of the laboratory expenditures (see Fig. 6). On the one hand, large laboratories of this type, and particularly university clinical laboratories, are likely to require some mechanism for innovation and development of new procedures. It should be noted, then, that the economies produced by the use of the computer information system at the University of Washington have helped make both space and dollars available to support the developmental laboratories (as have the SMA-12's and Coulter S). A major deficit in the results reported in this paper is the absence of a discussion of procedures per technologist hour. Those data are available for the last two years of this study only. Such management data acquisition was made economically feasible by the availability of computer programming support. It represents a byproduct of the introduction of computer technology that can support laboratory management and planning. Prior to the last two years of the study it was felt that the economies that could be achieved from such data were less than the cost of acquiring and analyzing the data. Both the data on procedures per technologist hour and the growth of the developmental laboratories depended critically on the existence of a flexible computer system. However, flexibility in itself is not sufficient; it is also necessary to have local control to introduce the necessary programming changes when they are needed. Thus, flexibility and local control of the computer system helped make the developmental laboratories possible. This not only fulfilled the department's university role but also encouraged the growth of the laboratories as a referral center. The latter, in turn, helped to increase laboratory utilization. Computer cost per procedure (as opposed to laboratory cost per procedure) tends to decrease with increased utilization. Thus, a circular process arises in which the computer, by aiding the upgrading of the laboratories, becomes in itself.more cost-effective. The computer system produces many benefits that do not show in the cost figures presented. Benefits to the physician and paramedical personnel include more timely reporting of data, specialized reports, and a well-organized daily cumulative patient report. Benefits to the hospital include well-verified billing records on magnetic tape and legible discharge summaries. Benefits to laboratory management include daily and weekly unfinished-test lists and detailed usage statistics. These appear to total to such major contributions that the computer system could be justified on the basis of a cost-benefit ratio even if the cost per procedure were increased. That the use of the laboratory com- 157 puters and the Central Processing Areas seems to have produced these added benefits simultaneously with a decrease of cost per procedure in constant 1969 dollars is truly noteworthy. Summary The Department of Laboratory Medicine of the University of Washington has explored various management and organizational approaches over the past seven years for the laboratories at its two hospitals. Starting in 1971, a Central Processing Area concept was introduced. This was supported by a batchoriented computer system. In the following years this concept was strengthened and the computer system was replaced by two terminal-oriented systems, one in each hospital. In recent years clinical laboratory procedures have rapidly increased in variety and number. Computers have been employed to assist in the coordination and distribution of the growing amounts of associated data. Significant changes in the organizational structures of those laboratories that use computers have been commonly reported; however, improvements in overall laboratory efficiency—i.e., the cost-effectiveness of the computer—are more often presumed than proven. There is a paucity of published information on this subject. Many factors contribute to the efficient operation of a clinical laboratory, including administration and overall system design, intensity of use, automated analytic instruments, test mix, and so on. It is correspondingly impossible, in a rapidly growing laboratory, to prove categorically that diminished cost per procedure is a direct consequence of computerization. Nevertheless, taking changes in equipment, intensity of use and administrative structure into account, and also observing the changes in the "computerized" as opposed to "non-computerized" (Microbiology) sectors of the laboratory, we can state that the introduction of the computer and Central Processing Area in the University of Washington clinical laboratory has not only had a favorable economic impact but has also exerted at least a permissive effect, allowing the scope and scale of the laboratory operation to increase substantially without major net increases in average cost per procedure. Such an interpretation almost ironically ignores— simply because it cannot be conveniently expressed in dollars and cents—the major benefit of the system: the creation of timely, legible, well-organized laboratory data for the patient's record and for the physician's use. NUSSBAUM£7/1Z.. 158 Acknowledgment. Without the help of Professor K. Clayson, some of the data for this paper could not have been obtained. 14. References 1. Advanced Medical Services Corp., 370 Lexington Avenue, New York, New York 10017 2. Aikawa JK: The cost effectiveness of the C. U. computerized clinical laboratory system. Biomed Sci Instrum 10:89-92, Apr 1975 3. Alpert NL: Clinical laboratory computer systems—part I. Lab World 25:38-43, Oct 1974 4. Alpert NL: Clinical laboratory computer systems—part II. Lab World 25:32-38, Nov 1974 5. Alpert NL: Clinical laboratory computer systems—part III. Lab World 25:26-32, Dec 1974 6. Alpert NL: Clinical laboratory computer systems—Wrap-up. Lab World 26:38-40, Jan 1975 7. Barnett GO: The modular hospital information system, Computers in Biomedical Research. Edited by Stacy RW, Waxman B. New York, Academic Press, 1974, pp 243-266 8. Carter NW, Griffiths PD, White CJ: Computers in the laboratory: A problem in communication. Biomed Comput 3:147153, 1972 9. Flagle CD: Evaluation techniques for medical information systems. Comput Biomed Res 3:407-414, 1970 10. Flagle CD: Evaluation and control of technology in health services, Technology and Health Care Systems in the I980's. Edited by Collen MF. DHEW Pub. (HMS) 73-3016, USGPO, 1973, pp 213-224 11. Fleck A, Marshall RB. Reekie D, et al: Experience with the introduction and routine operation of a computer-based reporting system in a clinical laboratory. Int J Biomed Comput 5:189-202, 1974 12. Garfield SR: A look at the economics of medical care, Technology and Health Care Systems in the I980's. Edited by Collen MF. DHEW Pub. (HSM) 73-3016, USGPO, 1973, pp 169-175 13. Harmon LD: Some problems and priorities in health care technology, Technology and Health Care Systems in the 1980's. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. 25. 26. A.J.C.I'. • Fehm:ir> 1977 Edited by Collen MF. DHEW Pub. (HSM) 73-3016, USGPO. 1973, pp 199-206 Johnson JL, and Associates, Clinical Laboratory Computer Systems. Northbrook III., J. Lloyd Johnson Associates, 1971 Klarman HE: Application of cost-benefit analysis to health systems technology, Technology and Health Care Systems in the 1980's. Edited by Collen MF. DHEW Pub. (HSM) 73-3016, USGPO. 1973, pp 225-250 McLaughlin CP: An economic analysis of the operation of automated clinical laboratories, Computers in Biomedical Research. Edited by Stacy RW. Waxman B. New York, Academic Press, 1974, pp 181-213 Melville RS, Kinney TD: General problems for clinical laboratory automation. Clin Chem 18:26-33, 1972 Minckler TM: Introduction to information handling in the laboratory, Pathobiology—An Introduction. Edited by Minckler J., Anstall HB. Minckler TM. St. Louis, C.V. Mosby, 1971, pp 58-63 MincklerTM,McMahanJM:Ourlabhas MUMPS, Proceedings of the 1973 MUMPS Users Group Meeting. Edited by Zimmerman J. Biomedical Computer Laboratory, St. Louis. Missouri, 1973, pp 55-56 Minckler TM: Laboratory automation: Perspectives. Med Instrum 8:296-298, 1974 Monthly Labor Review. Department of Labor. Bureau of Labor Statistics, February 1975 Rappoport AE, Gennaro WD: The economics of computercoupled automation in the clinical laboratory of the Youngstown Hospital Association, Computers in Biomedical Research. Edited by Stacy RW, Waxman B. New York, Academic Press, 1974. pp 215-242 Raymond S: Criteria in the choice of a computer system—1. The computer in theory. JAMA 228:591-594, 1974 Raymond S: Criteria in the choice of a computer system — II. The computer in practice. JAMA 228:1015-1017, 1974 Richart RH: Evaluation of a medical data system. Comput Biomed Res 3:415-425, 1970 Sharpe J: Towards a methodology for evaluating new uses for computers, Medinfo 74. Edited by Anderson J, Forsythe JN. Amsterdam, North Holland Publishing Company, 1974. pp 137-143
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