Literature DB >> 36268082

Customized middleware experience in a tertiary care hospital hematology laboratory.

Kristine Roland1, Jim Yakimec1, Todd Markin1, Geoffrey Chan1, Monika Hudoba1.   

Abstract

Background: In the clinical laboratory, middleware is a software application that sits between the analyzer and the laboratory information system (LIS). One of the more common uses of middleware is to perform more efficient result autoverification than can be achieved by the LIS or analyzer alone. In addition to autoverification, middleware can support highly customized rules to handle samples and results from specific patient locations. The objective of this study was to review the impact of customized middleware rules that were designed and implemented in the hematology laboratory of a 1000-bed tertiary care adult academic center hospital.
Methods: Three novel initiatives using middleware rules to achieve workflow efficiencies were retrospectively reviewed over different audit periods: preliminary neutrophil resulting for oncology patients, microcytosis interpretive comments, and 1 white blood cell differential (WBCD) reported per day. In addition, autoverification rates for complete blood count and differential (CBCD) and coagulation tests were calculated.
Results: A preliminary neutrophil count was released from middleware on average 64 min before the final CBCD for Leukemia/Bone Marrow Transplant (L/BMT) outpatients, and on average 59 min earlier for oncology patients. Reflexing interpretive comments for select instances of microcytosis removed on average 500 slides per month from technologist review with an estimated cost savings of approximately $3383.33 CAD per month. The 1 WBCD per day rule resulted in a 5.1% cancelation rate, resulting in an estimated monthly cost savings of $943.46 CAD in reagents and technologist time. Finally, middleware rules achieved very high autoverification rates of 97.2% and 88.3% for CBC and CBCD results, respectively. Conclusions: Implementation of customized middleware hematology rules in our institution resulted in multiple positive impacts on workflow, achieving high autoverification rates, reduced slide reviews, cost savings, and improved standardization.
© 2022 The Authors.

Entities:  

Keywords:  Autoverification; Hematology laboratory; Laboratory workflow; Middleware

Year:  2022        PMID: 36268082      PMCID: PMC9577123          DOI: 10.1016/j.jpi.2022.100143

Source DB:  PubMed          Journal:  J Pathol Inform


Background

With increasing demands on productivity and decreasing resources, clinical laboratories are looking for ways to increase efficiency while maintaining accuracy and consistency of reported results. In high volume laboratories, middleware can be a useful tool for optimizing specimen handling and results reporting by virtue of highly customizable rules. Middleware is a software application that sits between laboratory instrumentation and the laboratory information system (LIS). It can perform a variety of functions to assist technical staff such as autoverification of test results, holding and flagging results that may require additional action (e.g. failed delta check, critical value, results outside of range of the instrument), and quality control (QC) monitoring. Although an acceptable rate of autoverification can be achieved by having the autoverification algorithm fully defined in the LIS, the use of a middleware solution can further increase that rate. The sheer number of data elements (patient, specimen, test, with the ability to create end user defined elements for each type) that can be leveraged is significantly higher than what an LIS can offer. Also, there are additional locations within the middleware data stream where rules can be written than in an LIS alone. In the clinical pathology literature, publications on middleware have largely focussed on improvements to laboratory test autoverification rates., However, the potential scope of middleware is much broader in that middleware-built rules can be designed to cancel redundant tests, append interpretive comments when pre-specified criteria are met, and reflex further testing (e.g. reruns, add-on testing, specimen routing). There is little published literature on how individual laboratories have leveraged these latter capabilities. We implemented middleware in our Hematology laboratory in February 2011, and over the last decade we sought to design highly customized rules to not only improve our autoverification rates but also to improve workflow, turn around time (TAT), and our ability to manage increasing test volumes. Here we report a retrospective review of our autoverification rates as well as 3 of our novel customized middleware algorithms to determine their impacts on workload and cost savings.

Materials and methods

Setting

Our Hematology laboratory is located in a 1000-bed tertiary care academic adult hospital. Major inpatient services include general medical and surgical services as well as emergency, trauma and burns, critical care, cardiothoracic surgery, solid organ transplant, and leukemia/bone marrow transplant. In addition, our laboratory processes outpatient blood samples from the neighboring Cancer Centre. Currently, the Hematology laboratory performs around 340 000 complete blood counts (CBC) and complete blood counts with differential (CBCD), and 5100 body fluids per year using Sysmex XN9000 hematology analyzer, with addition of automated digital white blood cell (WBC) differential and morphology analyzer CellaVision DI-60 (Sysmex America, Inc., Illinois, USA). Routine coagulation tests consisting of prothrombin time (PT), activated partial thromboplastin time (aPTT), fibrinogen, D-dimer, and thrombin time is 250 000 annually performed on ACL TOP 700 CTS by Instrumentation Laboratory (A Werfen Company, Bedford, MA). All instruments are interfaced to the LIS (Sunquest Laboratory version 6.4 and 10) through the middleware Data Innovations Instrument Manager (DI IM) (version 8.17, Colchester, Vermont, USA). CBCD parameters measured include 6-part WBC differential, nucleated red blood cell count (NRBC), reticulocyte count (RET), and immature reticulocyte fraction (IRF). Reticulocyte parameters are discrete and performed only if ordered.

Middleware

The implementation of the middleware occurred on February 23, 2011. The autoverification rules algorithm along with rules for automated technologist comments and pathologist interpretive reports were created to ensure consistency and accuracy (Table 1). Peripheral blood, body fluid, and sputum keyboards were created in IM in order to have as many technical and pathologist functions on the same platform as possible. Rules were written within the keyboard configurations to provide technologist guidance, calculate absolute differential counts, alert them to the presence of critical values, pathologist review criteria, and reflex a pathologist review order. In effect, the middleware rules dictate all specimen and results handling between pre-analytical specimen processing and microscopic slide review (Fig. 1).
Table 1

Middleware rules for complete blood count, differential and coagulation testing.

Rule sourceRuleHold for reviewNotes
CBC and differential
DISample collection time >24 hCBC, DiffSuppress Auto diff + RBC indices
DISample collection time >72 hReticulocyteNot reported
DIPatient age <3 daysReflex CBC, Diff, NRBC, Retic, Smear
DIWBC <0.5DiffReflex smear review + referral
DIWBC <0.5 + previous WBC >1.0 + not oncologyReflex smear review + referral
DIWBC >30.0 + OutpatientReflex Diff
DIWBC 250.0 – 450.0DiffReport RBC indices as Unavailable
DIWBC exceeds linearityWBC, HCT, Diff, ReticulocyteReport RBC indices as Unavailable
DIWBC lower limit of quantitationReport WBC as < x.x
DINeutrophil # <1.0 + not oncologyReflex smear review
DINeutrophil # <0.5Follow Critical Result SOP + referral
DINeutrophil # >30.0Reflex smear review
DINeutrophil # >50.0Referral if no previous >50.0
DILymphocyte # > reference interval ChildReflex smear review + referral
DILymphocyte # >5.5 AdultReflex smear review + referral
DIMonocyte # >2.0 + Neutrophil # <8.0Reflex smear review
DIMonocyte # >3.0Reflex smear review + referral
DIEosinophil % >20.0DiffReflex smear review
DIEosinophil # >2.0Reflex smear review + referral
DIBasophil # >0.5DiffReflex smear review + referral
DIIG % >5, or >10 + previous <5, or >20 + previous <10Reflex smear reviewSuppress IG # <0.2
DINRBC % >2.0 + not ICU/oncologyReflex smear review + referral
DINRBC % >25.0 + patient age <31 dReflex smear review + referral
DINRBC linearityWBC, Diff, NRBC
Sysmex/DIWBC abnormal scattergram + WBC >0.5DiffReflex smear review
Sysmex/DIAbnormal lymphocytes/blasts flagDiffReflex smear reviewOncology: Reflex Preliminary ANC
Sysmex/DILeft shift flag + no previous results or new ED visitReflex smear review
Sysmex/DIAtypical lymphocytes flag or new ED visitReflex smear review
DIDifferential vote-outSuppress Auto diff, perform manual
DIRBC linearityRBC indicesDilute X7
Sysmex/DIRBC abnormal distribution + MCHC >375All resultsReflex rerun and smear review
Sysmex/DIDimorphic populationReflex smear review
Sysmex/DIRBC agglutinationAll resultsReflex rerun
DIHB outside reference interval – ChildReflex smear review. Refer <80
DIHB <100 + not IDA + Outpatient / ED new admissionReflex smear review
DIHB <75 + not IDA + InpatientReflex smear review
DIHB <50 + not post-op / trauma / acute bleed / knownAll resultsReflex smear review
DIHB >160 female or >180 maleReflex smear review
DIHB criticalReflex rerun. HB <50 or >230
DIHB linearityHB, MCH, MCHCDilute X7
DIHB delta failureAll results14 days: + 40 Adult, + 20 Child
Sysmex/DITurbidity/Hb interference + MCHC >375CBC, DiffReflex rerun, Dilute X7
DIHCT >0.55, add Patient User FieldFor use in coagulation rules
DIHCT linearityCBCDilute X7
DIMCV outside reference interval – ChildReflex smear review + referral
DIMCV delta failureAll results60 days: + 5 Adult, + 4 Child
Sysmex/DIMCV <60PLTReflex PLT-F
DIMCV <80 + RBC, HB, RDW, Age, GenderAuto comments - Microcytosis
DIMCV <80 + HB <50 or HB >165 male or >150 femaleReflex smear review and referral
DIMCV 105-110 + HB <100 or PLT <50 or Neutrophil# <1.0Reflex smear review and referral
DIMCV >110Reflex smear reviewReferral with exceptions
Sysmex/DIMCHC <275 or > 375All resultsReflex rerun
DIPLT <100Reflex smear reviewReferral if Child
DIPLT <75 + previous >120All resultsReflex smear review
DIPLT <50All resultsChild – critical resultReferral with exceptions
Sysmex/DIPLT <20All resultsReflex PLT-FAdult – critical result
DIPLT >800 ChildReflex smear review and referral
DIPLT >1000 AdultReflex smear review and referral
DIPLT linearityPLTDilute X7 and reflex smear review
DIPLT delta failureAll results14 d: % delta is count-dependent
DIPLT lower limit of quantitationReport PLT as < x
DICitrate PLTCitrate PLTAdd 10% and reflex smear review
Sysmex/DIPLT abnormal scattergramReflex smear review
Sysmex/DIPLT abnormal distribution + PLT <50Reflex PLT-F
Sysmex/DIPLT clumps + PLT <125 or >350PLTReflex smear review
Sysmex/DIPLT clumps + PLT <75All resultsReflex smear review
DIReticulocyte linearityReticulocytePerform manual reticulocyte
SysmexReticulocyte abnormal scattergramReticulocyteDilute X5
Sysmex/DIFragmentsReflex PLT-F and smear review
DIIf previous smear - Blast/Hairy cells/MegakaryocytesDiffReflex smear review
DIIf previous smear - PLT clumpingPLTReflex smear review
DISpecific patient – RBC Agglutination / Diff + NRBC / PLTSpecific test(s)Reflex smear review
DIOne differential per daySuppress subsequent Diff order(s)
DIICU – one smear review per day
DI/LISLab-use only test to trigger LIS-reflexed testseg: Pathologist review, Preliminary ANC, Smear review



Coagulation
IL TOP/DIPre-analytic: Hemolyzed / Icteric / Lipemic samplesINR, PTT, D-Dimer, FIBAuto append comment
IL TOP/DIPre-analytic: Lipemic and D-Dimer above cut offD-DimerFor ultra centrifugation
DIPre-analytic: HCT >0.55 + results above normal rangeAll resultsFor special collection
DIPre-analytic: manually prepared dilutionsFactor VIII, IXApply dilution factor
IL TOP/DIAnalytic: specific instrument warnings + errorsThat testAdd technologist guidance
DISample collection time >4 h + PTT above normal rangePTTConfirm collection date/time
DISample collection time >12 h + PTT within normal rangePTTConfirm collection date/time
DISample collection time >24 hINRReported as too old
DISample collection time >72 hFIB, D-Dimer, TTReported as too old
IL TOP/DIClotting test < test range (INR, PTT, TT, FIB)All resultsAuto repeated
IL TOP/DIClotting test > test range (INR, PTT, TT, FIB)That testAuto repeated
DILower + Upper reportable limitsReported as < xx.x or > xx.x
DIDelta failureAuto repeated
DIINR 3.1-6.0 + Hemodialysis locationReflex TT + heparin-neutralized INR
DIINR 3.6-6.0 + OutpatientINRReflex Phone call
DIINR >4.5 + no previous within 36 hINR
DIINR >6.0 CriticalINRAuto repeated + Phone call
DIINR delta failureINR, PT36 h: Absolute value delta
DIResearch INR & PTAppend MNPT and ISI
DIPTT >48 + no previous within 7 daysPTT
DIPTT >110 + previous result normal within 7 daysPTT
DIPTT > defined phone valuePTT
DIPTT >48 isolated + INR / TT normalReflex Lupus-insensitive PTT + Referral
DIPTT delta failurePTT24 h: Absolute value delta
DID-DimerAppend interpretational comment
DIFIB <1.0 + previous >1.0 or no previous resultAll results
DIFIB <0.6 CriticalAll resultsReflex referral
DIFIB delta failureFIB48 h: + 50%
DIAdd Pathologist Referral result field

★ denotes if no previous test result CBC: Complete blood cell count, WBC: White blood cell count, IG: Immature granulocytes, RBC: Red blood cell count, HB: Hemoglobin [g/L], HCT: Hematocrit, MCV: Mean cell volume [fL], MCHC: Mean cell hemoglobin concentration [g/L], RDW: Red cell distribution width, NRBC: Nucleated red blood cell count, PLT: Platelet, ANC: Absolute neutrophil count, ED: Emergency department, IDA: iron deficiency anemia, INR: International normalized ratio, PT: Prothrombin time (s), PTT: Activated partial thromboplastin time (s), FIB: Fibrinogen, quantitative (g/L), TT: Thrombin time (s), MNPT: Mean normal prothrombin time, ISI: International sensitivity index, Referral: Pathologist review, Smear review: Technologist review.

Fig. 1

Middleware-driven hematology workflow.

Middleware rules for complete blood count, differential and coagulation testing. ★ denotes if no previous test result CBC: Complete blood cell count, WBC: White blood cell count, IG: Immature granulocytes, RBC: Red blood cell count, HB: Hemoglobin [g/L], HCT: Hematocrit, MCV: Mean cell volume [fL], MCHC: Mean cell hemoglobin concentration [g/L], RDW: Red cell distribution width, NRBC: Nucleated red blood cell count, PLT: Platelet, ANC: Absolute neutrophil count, ED: Emergency department, IDA: iron deficiency anemia, INR: International normalized ratio, PT: Prothrombin time (s), PTT: Activated partial thromboplastin time (s), FIB: Fibrinogen, quantitative (g/L), TT: Thrombin time (s), MNPT: Mean normal prothrombin time, ISI: International sensitivity index, Referral: Pathologist review, Smear review: Technologist review. Middleware-driven hematology workflow. The workspaces within the middleware are fully customizable. With the ability to use both pre-defined and free text coded entries, we were able to configure a hematology workspace application for reporting blood film, fluid morphology, and coagulation interpretations within IM. This module provides information on recent consecutive CBCs, instrument flags, technologist reason for referral, Sysmex scatterplots, and clinical diagnostic information provided in LIS (Fig. 2). No LIS enhancements were required, however we did request analyzer driver enhancements to capture specific data elements, as is commonly required from many middleware customers. We also requested the ability to edit comments (both pre-defined and free text) which allowed for pathologist workflow to be incorporated onto the platform. Onboarding all these functions into middleware reduced reliance on paper printouts and created an essentially paperless system. The writing and maintenance of all middleware rules remains under the autonomy of the Hematology laboratory.
Fig. 2

IM middleware hematolgy workspace.

IM middleware hematolgy workspace.

Customized middleware algorithms

The following algorithms were built using customized middleware rules and were selected for this retrospective analysis:

Preliminary neutrophil reporting

Our outpatient leukemia and bone marrow transplant (L/BMT) and Oncology physicians requested a preliminary neutrophil result before the full CBCD is resulted (in the event of a flagged differential that fails autoverification), in order to initiate chemotherapy treatment as quickly as possible. This was achieved by first building a new LIS trigger code to reflex order a preliminary neutrophil count. Then a rule was written within the middleware to limit the test by patient location (L/BMT clinic and Oncology clinic) and by the presence of WBC differential flags (such as the blast/abnormal lymph flag and abnormal scattergram flag). The preliminary neutrophil result is displayed as such and the final neutrophil value is resulted with the CBCD.

Microcytosis interpretive comments

As a sole abnormality, the differential diagnosis of microcytosis with or without anemia is limited. We created interpretive comments in the middleware specific to the mean cell volume (MCV), hemoglobin, red blood cell count, red cell distribution width-coefficient of variation (RDW-CV), se,x and age of the patient. Based on these parameters, 1 of 6 interpretive comments is automatically appended to the CBC result by the middleware and a slide is not generated (unless there is another concurrent flag requiring slide review). The intent was to reduce slide reviews by both technologists and pathologists on a common but low-stakes finding on a CBC.

One WBC differential per day

After consultation with stakeholder physicians at our institution, it was agreed that a WBC differential did not need to be repeated on a patient within 1 calendar day, even if a repeat CBCD was ordered. The one exception was the context of autologous stem cell transplant collections, where a pre-/post-collection WBC differential was required for quality assurance purposes. We created a rule within the middleware to cancel a repeat same-day WBC differential, except for samples from autologous stem cell collections. This rule was written at the point of order download from the LIS to the middleware, so that the differential would not be run. Instead a comment would be appended to the CBC stating: “One differential reported per calendar day. See previous differential”. Full details of this project are explained elsewhere.

Autoverification rates

We created autoverification rules in the middleware (as well as LIS when appropriate) for CBC, CBCD, and coagulation tests. Our routine coagulation testing includes five parameters: aPTT, PT, thrombin time (TT), fibrinogen, and D-dimer. Autoverification is achieved when the middleware releases results into the LIS without holding them due to a programmed rule. For this review of the above algorithms, 3 audit periods were selected based on respective test volumes. A short time period (September 2, 2021–September 15, 2021) was selected to collect autoverification rates on high volume tests (i.e. CBC and coagulation tests). An intermediate audit period (September 1, 2021–December 31, 2021) was selected to collect preliminary neutrophil reporting times, and the period of January 1, 2021–December 31, 2021 was selected to collect microcytosis interpretive comments and WBC differential cancelations. Data was extracted from the DI Instrument Manager and Sunset Laboratory databases (Oracle Corp. Austin, Texas). A Microsoft Excel spreadsheet was used for statistical analysis.

Results

Preliminary neutrophil reporting

During the 4-month audit period, there were a total of 948 CBCD tests reported with a preliminary neutrophil result (Table 2). Most of these CBCD tests were from L/BMT outpatients (806) while a smaller proportion were from the neighboring cancer clinic (142). The TAT for laboratory results is longer for cancer patients than for L/BMT outpatients due to sample transport time; the oncology clinic is 2 blocks away from the main building housing both the Hematology laboratory and L/BMT clinic. Although there is a significant range in reporting times due to the presence of different CBCD flags, on average a preliminary neutrophil result is released 64 min before the full CBCD for L/BMT outpatients and 59 min earlier for oncology patients.
Table 2

Time to release complete blood cell counts and preliminary neutrophil counts during audit period.

Time to CBCD result release
Time to preliminary neutrophil result release
Average time saved (min)
Average (min)Range (min)Average (min)Range (min)
L/BMT outpatients (n = 806)9034 – 240266 – 8764
Cancer patients (n = 142)12770 – 2736834 – 8759

CBCD = complete blood count with white blood cell differential; L/BMT = leukemia and bone marrow transplant; min = minutes.

Time to release complete blood cell counts and preliminary neutrophil counts during audit period. CBCD = complete blood count with white blood cell differential; L/BMT = leukemia and bone marrow transplant; min = minutes.

Microcytosis interpretive comments

During the 1-year audit period, there were 6263 microcytosis interpretive comments automatically appended to CBC results by the middleware. Table 3 shows the distribution of interpretive comments and the criteria for each. Of these, 265 (4.2%) still met slide review criteria due to other flags, initiating a slide review by the technologist, and of these 154 (2.5%) met criteria for Pathologist review. However, in the remaining 5998 cases, slides were not generated for manual review, which equates to a reduction of approximately 500 slides per month. This results in an estimated 5000 min (83.3 h) of technologist time saved monthly (based on slide preparation and manual review of approximately 10 min of technologist time per slide). At a rate of $0.47 CAD for slide materials and $37.78 CAD technologist time per hour, there is a monthly estimated cost savings of approximately $3383.33 CAD per month.
Table 3

Interpretive comments automatically appended in middleware based on complete blood count parameters.

SexHbRBCMCVRDWCommentTotal (n = 6263)
F<120<4.50<55>15.8Microcytic anemia suggestive of iron deficiency.4
M<130<4.80
F<120<4.5055–70>15.8Microcytic anemia. Common causes include iron deficiency or thalassemia.313
M<130<4.80
F<120<4.5070–80>15.8Microcytic anemia. Common causes include iron deficiency, anemia of chronic disease, or less likely thalassemia.1699
M<130<4.80
FAny>4.90<70<15.8Microcytic red blood cell morphology. Common causes include thalassemia trait, or less likely iron deficiency.268
M>5.20
FAny>4.9070–80<15.8Microcytic red blood cell morphology. Common causes include thalassemia trait, or less likely iron deficiency or anemia of chronic disease.844
M>5.20



For cases where above criteria are not met, the following comments are used:
AnyAnyAny<55Red blood cell microcytosis, likely due to iron deficiency.1
55–70Red blood cell microcytosis, consider iron deficiency or thalassemia.834
70–80Red blood cell microcytosis, consider iron deficiency, anemia of chronic disease, or thalassemia trait.2300

F = female; M = male; Hb = hemoglobin; RBC = red blood cell count; MCV = mean corpuscular volume; RDW = red cell distribution width.

Interpretive comments automatically appended in middleware based on complete blood count parameters. F = female; M = male; Hb = hemoglobin; RBC = red blood cell count; MCV = mean corpuscular volume; RDW = red cell distribution width.

One WBC differential per day

With an average of 18 786 CBCD ordered per month, the number of canceled WBC differentials was on average 952 (range 893–1007; ±35.3SD) (Table 4). This equates to a cancelation rate of 5.1% (range 4.8–5.6%; ±0.3SD) during the 1-year audit period. At an estimated cost of $0.33 CAD per differential in reagents, this resulted in a cost savings of approximately $314.16 CAD per month (based on average 952 canceled differentials per month). In addition, some of these canceled differentials would have generated a slide review. Given our historic rate of 9.8% for flagged WBC differentials, the estimated technologist review avoidance was 93 slides per month. This equates to 930 min (or 15.5 h) of technologist time saved monthly, and a monthly savings of $629.30 CAD (using same cost analysis as for microcytosis interpretive comments).
Table 4

Monthly canceled white blood cell differentials due to one differential per day rule.

Month in 2021Total CBCD orderedWBC differentials canceled%
January19 1219374.9
February18 2849075.0
March20 4019174.5
April19 5019634.9
May20 76210044.8
June19 2109655.0
July18 2559795.4
August18 3858934.9
September17 9789515.3
October18 06510075.6
November18 0239515.3
December17 4509465.4



Average18 7869525.1
Monthly canceled white blood cell differentials due to one differential per day rule.

Autoverification rates in CBCD and coagulation

The overall rate of CBC autoverification was 97.2% (Table 5). Of the CBC that failed autoverification, the vast majority had all results held; only 0.1% had only Platelet result held due to a platelet clumping suspect flag on platelet results outside of the normal range. The reasons for holding all results were varied, the most frequent being mean corpuscular volume (MCV) delta check (1.0%).
Table 5

Autoverification rates for complete blood counts and coagulation tests during audit period.

ParameterTotalAutoverification rate (%)
Total CBC and CBCD performed13 414
Number of CBC and CBCD with all results autoverified13 03697.2



Total WBC differentials performed9263
Number of differentials canceled due to low WBC2222.4
Number of differentials canceled due to one diff/day4354.7
Number of remaining differentials autoverified759788.3



Number of reticulocytes performed291
Number of reticulocytes autoverified26591.1



Number of INR performed4447
Number of INR autoverified434997.8



Number of PTT performed3874
Number of PTT autoverified365894.4



Number of quantitative fibrinogen performed513
Number of quantitative fibrinogen autoverified48895.1



Number of TT performed91
Number of TT autoverified7885.7



Number of D-dimer performed325
Number of D-dimer autoverified32098.5

CBC = complete blood count; CBCD = complete blood count with differential; WBC = white blood cells; diff = differential; INR = international normalized ratio; PTT = partial thromboplastin time; TT = thrombin time.

Autoverification rates for complete blood counts and coagulation tests during audit period. CBC = complete blood count; CBCD = complete blood count with differential; WBC = white blood cells; diff = differential; INR = international normalized ratio; PTT = partial thromboplastin time; TT = thrombin time. Of all the CBCD, 7.1% of the WBC differentials were canceled due to existing rules (i.e. low WBC count or 1 differential per day). Of the uncanceled CBCD, the differential autoverification rate was 88.3%. The reasons for holding the differential result were varied, but the most common was the blast/abnormal lymph flag (5.3%). The rate of technologist slide review/manual differential was 8.9% and the rate of Hematopathologist slide referral was 1.5%. The autoverification rate for reticulocyte count was 91.1%. The most common reason for holding the reticulocyte result was an abnormal scattergram flag (8.3%). The autoverification rates for aPTT, PT, TT, fibrinogen, and D-dimer were 94.4%, 97.8%, 85.7%, 95.1% and 98.5%, respectively. In all cases, the TT time was held because of failed clot curve (i.e. no clot within acquisition time). The PT, aPTT and fibrinogen results were held for a variety of reasons. The most common reason for holding D-dimer was QC failure (0.9%).

Discussion

Our retrospective analysis of customized middleware algorithms in a Hematology laboratory demonstrates how middleware capabilities can be expanded over and above autoverification of laboratory test results. Comprehensive rules written in middleware can streamline and standardize Hematology laboratory operations including redundant test cancelation, preliminary result reporting, and interpretive comments that is specific to different hospital locations. Most of the published literature to date is limited to autoverification rules written in the hematology analyzer and the LIS.5, 6, 7, 8, 9, 10, 11, 12 Reported autoverification rates for CBC results have ranged from 63% when rules were built in the analyzer to 81% when written in LIS. Similarly in coagulation, reported autoverification rates have ranged from 65% to 82%., High rates of LIS-based autoverification were achieved in an outpatient hematology/coagulation laboratory; however, outpatient samples may be less complex to result than predominantly inpatient population., We were able to find 1 report of a hematology laboratory that built autoverification rules in middleware and these authors used similar instrumentation and middleware as our laboratory. They achieved an autoverification rate of 93.5% for CBC and 89.9% for individual CBC components, which was similar to our results of 97.2% for all CBCD and 88.3% for WBC differentials. Our review of novel middleware-built algorithms demonstrate that the capabilities of middleware extend far beyond autoverification. Two of our initiatives (1 WBC differential per day rule and standardized microcytosis comments) were successful in reducing manual slide review which saved technologist (and sometimes pathologist) time. Other authors have aimed to reduce unnecessary or redundant laboratory tests by focusing on clinician ordering practices using educational methods however results tend to be modest and temporary.14, 15, 16, 17, 18 Our approach using middleware has been sustainable with no reduction in effect over time. Finally, we showed that a preliminary neutrophil count can be released on average 1 h before a flagged CBCD is fully resulted, which can improve clinical management of hematology/oncology patients without additional workload on technologists. Finally, there is a significant benefit to having the hematology rules engine under the autonomy of the Hematology laboratory. This self-sufficiency allows the technical leadership to modify the algorithms in real time, rather than submitting change requests to a heavily burdened LIS department and waiting in queue. In fact within our region, this 1 middleware solution has since expanded for use at multiple sites in multiple disciplines (Chemistry, Autoimmune testing, Microbiology). The LIS department supporting these multiple sites has now embraced it to interface all new analyzers. There are limitations to using middleware. There is the cost of initial capital output for the purchase of the production and test servers, connections, interfaces, and rules writing course. The initial build and validation of the rules is time-consuming, and requires a certain level of expertise among technical staff. Regular validation of rules is recommended in accordance with regulatory and accreditation requirements.

Conclusion

Middleware offers a flexible platform for laboratories to achieve standardized, efficient results reporting in a paperless environment. High autoverification rates using highly customized rules can be achieved for complex laboratory tests with multiple analytes such as the CBCD. In addition, laboratories can create their own context-specific rules to achieve targeted goals including, but not necessarily limited to, canceling redundant tests, appending interpretive comments, and releasing preliminary results. Using middleware to its full potential can improve workflow and result in cost savings. The use of middleware to create customized rules appears to be under-represented in the literature, and may indicate that this technology is not being used to its full potential.

Funding

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

Declaration of Competing Interest

The authors declare that they have no competing interests.
  16 in total

1.  Autovalidation rates in an outpatient coagulation laboratory.

Authors:  P Froom; E Saffuri-Elias; M Barak
Journal:  Int J Lab Hematol       Date:  2015-05-22       Impact factor: 2.877

2.  Optimization of Laboratory Ordering Practices for Complete Blood Count With Differential.

Authors:  Jeffrey Z Shen; Benjamin C Hill; Sherry R Polhill; Paula Evans; David P Galloway; Robert B Johnson; Vishnu V B Reddy; Patrick L Bosarge; Lisa A Rice-Jennings; Robin G Lorenz
Journal:  Am J Clin Pathol       Date:  2019-02-04       Impact factor: 2.493

3.  Changing resident test ordering behavior: a multilevel intervention to decrease laboratory utilization at an academic medical center.

Authors:  Arpana R Vidyarthi; Timothy Hamill; Adrienne L Green; Glenn Rosenbluth; Robert B Baron
Journal:  Am J Med Qual       Date:  2014-01-17       Impact factor: 1.852

4.  Autoverification of routine coagulation assays in a multi-center laboratory.

Authors:  Liselotte Onelöv; Elisabeth Gustafsson; Eva Grönlund; Helena Andersson; Gisela Hellberg; Ingela Järnberg; Sara Schurow; Lisbeth Söderblom; Jovan P Antovic
Journal:  Scand J Clin Lab Invest       Date:  2016-07-11       Impact factor: 1.713

5.  Multicenter study of autoverification methods of hematology analysis.

Authors:  X Zhao; X F Wang; J B Wang; X J Lu; Y W Zhao; C B Li; B H Wang; J Wei; P Guo; J P Xiao; J H Wang; X L Yang
Journal:  J Biol Regul Homeost Agents       Date:  2016 Apr-Jun       Impact factor: 1.711

6.  Autovalidation and automation of the postanalytical phase of routine hematology and coagulation analyses in a university hospital laboratory.

Authors:  Ana Mlinaric; Marija Milos; Désirée Coen Herak; Mirjana Fucek; Vladimira Rimac; Renata Zadro; Dunja Rogic
Journal:  Clin Chem Lab Med       Date:  2018-02-23       Impact factor: 3.694

7.  Factors contributing to inappropriate ordering of tests in an academic medical department and the effect of an educational feedback strategy.

Authors:  Spiros Miyakis; Georgios Karamanof; Michalis Liontos; Theodore D Mountokalakis
Journal:  Postgrad Med J       Date:  2006-12       Impact factor: 2.401

8.  Impact of an educational intervention on the frequency of daily blood test orders for hospitalized patients.

Authors:  Rajiv N Thakkar; Daniel Kim; Amy M Knight; Stefan Riedel; Dhananjay Vaidya; Scott M Wright
Journal:  Am J Clin Pathol       Date:  2015-03       Impact factor: 2.493

9.  Sustainable Laboratory-Driven Method to Decrease Repeat, Same-Day WBC Differentials at a Tertiary Care Center.

Authors:  Ann Tran; Monika Hudoba; Todd Markin; Kristine Roland
Journal:  Am J Clin Pathol       Date:  2022-04-01       Impact factor: 2.493

10.  Design and evaluation of a LIS-based autoverification system for coagulation assays in a core clinical laboratory.

Authors:  Zhongqing Wang; Cheng Peng; Hui Kang; Xia Fan; Runqing Mu; Liping Zhou; Miao He; Bo Qu
Journal:  BMC Med Inform Decis Mak       Date:  2019-07-03       Impact factor: 2.796

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