The Burden of Add-On Orders in a Laboratory With Manual Processing
Abstract In order to avoid additional blood draws for their patients, clinicians frequently order add-on tests on existing specimens in the laboratory. Manually processing these add-ons is problematic, utilizes tremendous resources, and raises concerns regarding specimen integrity. The objective of...
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Veröffentlicht in: | American journal of clinical pathology 2019-09, Vol.152 (Supplement_1), p.S16-S16 |
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description | Abstract
In order to avoid additional blood draws for their patients, clinicians frequently order add-on tests on existing specimens in the laboratory. Manually processing these add-ons is problematic, utilizes tremendous resources, and raises concerns regarding specimen integrity. The objective of this study was to analyze add-on ordering patterns and assess the time and resources required to complete these orders. In this retrospective study conducted at a large, multisite, academic medical center, a report was generated from the laboratory information system (LIS) to identify all the add-on orders that were placed with details about the type of add-on test, which specimen it was added to, and location from where an add-on order was placed for a 2-month period (August 5 to October 4, 2018). The workflow was observed and financial cost was calculated. The laboratory received 5,658 add-on orders during the study period. By laboratory protocol, 859 tests were cancelled, leaving 4,799 tests to be processed. Add-on orders were most common for liver tests (7.48%), creatine kinase (6.35%), troponin (6.31%), vancomycin level (5.93%), thyroid-stimulating hormone (4.91%), magnesium (4.81%), and vitamin B12 (4.33%). The add-on orders were mainly generated for inpatient (74.07%) followed by emergency (17.79%) and outpatient departments (8.12%). The add-on request is placed by the clinical provider in the hospital information system (HIS) as a generic “Add-on Order” test, with free text to specify the test and specimen. A clerk in the laboratory uses the LIS-generated work list to electronically order the requested tests to the original specimen. Subsequently, a clerk must manually locate the original specimen and deliver it to the performing lab to run the add-on test. The median turnaround time from the provider placing the generic add-on order in the HIS to the lab placing the add-on in the LIS is 119 minutes. The median time for the provider to place an add-on after the initial order is 462 minutes. The average time needed to monitor the add-on work list, electronically place the add-on to the original order, and retrieve the sample for one test for a skilled senior statistical clerk is 7 minutes. The average number of add-on requests received daily is 71. Therefore, the daily time to process add-ons is 497 minutes (8.2 hours). Based on the hourly cost and fringe in the laboratory ($28.92/hour), these add-on tests cost $237/day in labor ($86,000/year). Our study |
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In order to avoid additional blood draws for their patients, clinicians frequently order add-on tests on existing specimens in the laboratory. Manually processing these add-ons is problematic, utilizes tremendous resources, and raises concerns regarding specimen integrity. The objective of this study was to analyze add-on ordering patterns and assess the time and resources required to complete these orders. In this retrospective study conducted at a large, multisite, academic medical center, a report was generated from the laboratory information system (LIS) to identify all the add-on orders that were placed with details about the type of add-on test, which specimen it was added to, and location from where an add-on order was placed for a 2-month period (August 5 to October 4, 2018). The workflow was observed and financial cost was calculated. The laboratory received 5,658 add-on orders during the study period. By laboratory protocol, 859 tests were cancelled, leaving 4,799 tests to be processed. Add-on orders were most common for liver tests (7.48%), creatine kinase (6.35%), troponin (6.31%), vancomycin level (5.93%), thyroid-stimulating hormone (4.91%), magnesium (4.81%), and vitamin B12 (4.33%). The add-on orders were mainly generated for inpatient (74.07%) followed by emergency (17.79%) and outpatient departments (8.12%). The add-on request is placed by the clinical provider in the hospital information system (HIS) as a generic “Add-on Order” test, with free text to specify the test and specimen. A clerk in the laboratory uses the LIS-generated work list to electronically order the requested tests to the original specimen. Subsequently, a clerk must manually locate the original specimen and deliver it to the performing lab to run the add-on test. The median turnaround time from the provider placing the generic add-on order in the HIS to the lab placing the add-on in the LIS is 119 minutes. The median time for the provider to place an add-on after the initial order is 462 minutes. The average time needed to monitor the add-on work list, electronically place the add-on to the original order, and retrieve the sample for one test for a skilled senior statistical clerk is 7 minutes. The average number of add-on requests received daily is 71. Therefore, the daily time to process add-ons is 497 minutes (8.2 hours). Based on the hourly cost and fringe in the laboratory ($28.92/hour), these add-on tests cost $237/day in labor ($86,000/year). Our study demonstrates the significant cost and labor burden of add-on tests in a laboratory with manual processing. The laboratory is considering transitioning to direct provider ordering of add-ons to existing specimens using laboratory-defined rules in the HIS and moving to total laboratory automation with robotic specimen archival and retrieval to reduce the manual efforts, which would streamline the add-on workflow.</description><identifier>ISSN: 0002-9173</identifier><identifier>EISSN: 1943-7722</identifier><identifier>DOI: 10.1093/ajcp/aqz112.031</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Automation ; Calcium-binding protein ; Creatine ; Creatine kinase ; Information systems ; Laboratories ; Magnesium ; Thyroid ; Thyroid-stimulating hormone ; Troponin ; Vancomycin ; Vitamin B12</subject><ispartof>American journal of clinical pathology, 2019-09, Vol.152 (Supplement_1), p.S16-S16</ispartof><rights>American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com 2019</rights><rights>American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,1584,27924,27925</link.rule.ids></links><search><creatorcontrib>Barouqa, Mohammad</creatorcontrib><creatorcontrib>Fecher, Roger</creatorcontrib><creatorcontrib>Wolgast, Lucia R</creatorcontrib><creatorcontrib>Forest, Stefanie</creatorcontrib><title>The Burden of Add-On Orders in a Laboratory With Manual Processing</title><title>American journal of clinical pathology</title><description>Abstract
In order to avoid additional blood draws for their patients, clinicians frequently order add-on tests on existing specimens in the laboratory. Manually processing these add-ons is problematic, utilizes tremendous resources, and raises concerns regarding specimen integrity. The objective of this study was to analyze add-on ordering patterns and assess the time and resources required to complete these orders. In this retrospective study conducted at a large, multisite, academic medical center, a report was generated from the laboratory information system (LIS) to identify all the add-on orders that were placed with details about the type of add-on test, which specimen it was added to, and location from where an add-on order was placed for a 2-month period (August 5 to October 4, 2018). The workflow was observed and financial cost was calculated. The laboratory received 5,658 add-on orders during the study period. By laboratory protocol, 859 tests were cancelled, leaving 4,799 tests to be processed. Add-on orders were most common for liver tests (7.48%), creatine kinase (6.35%), troponin (6.31%), vancomycin level (5.93%), thyroid-stimulating hormone (4.91%), magnesium (4.81%), and vitamin B12 (4.33%). The add-on orders were mainly generated for inpatient (74.07%) followed by emergency (17.79%) and outpatient departments (8.12%). The add-on request is placed by the clinical provider in the hospital information system (HIS) as a generic “Add-on Order” test, with free text to specify the test and specimen. A clerk in the laboratory uses the LIS-generated work list to electronically order the requested tests to the original specimen. Subsequently, a clerk must manually locate the original specimen and deliver it to the performing lab to run the add-on test. The median turnaround time from the provider placing the generic add-on order in the HIS to the lab placing the add-on in the LIS is 119 minutes. The median time for the provider to place an add-on after the initial order is 462 minutes. The average time needed to monitor the add-on work list, electronically place the add-on to the original order, and retrieve the sample for one test for a skilled senior statistical clerk is 7 minutes. The average number of add-on requests received daily is 71. Therefore, the daily time to process add-ons is 497 minutes (8.2 hours). Based on the hourly cost and fringe in the laboratory ($28.92/hour), these add-on tests cost $237/day in labor ($86,000/year). Our study demonstrates the significant cost and labor burden of add-on tests in a laboratory with manual processing. The laboratory is considering transitioning to direct provider ordering of add-ons to existing specimens using laboratory-defined rules in the HIS and moving to total laboratory automation with robotic specimen archival and retrieval to reduce the manual efforts, which would streamline the add-on workflow.</description><subject>Automation</subject><subject>Calcium-binding protein</subject><subject>Creatine</subject><subject>Creatine kinase</subject><subject>Information systems</subject><subject>Laboratories</subject><subject>Magnesium</subject><subject>Thyroid</subject><subject>Thyroid-stimulating hormone</subject><subject>Troponin</subject><subject>Vancomycin</subject><subject>Vitamin B12</subject><issn>0002-9173</issn><issn>1943-7722</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFUD1PwzAQtRBIlMLMaokNKe2dnY96bCsKSEFlKGK0bMehqUqc2s1Qfj2uws50eqf3pUfIPcIEQfCp2pluqg4_iGwCHC_ICEXKk6Jg7JKMAIAlAgt-TW5C2AEgm0E6IovN1tJF7yvbUlfTeVUl65auI_aBNi1VtFTaeXV0_kQ_m-OWvqm2V3v67p2xITTt1y25qtU-2Lu_OyYfq6fN8iUp18-vy3mZGIx9kgIKnWujMUt5llrNuIUZtyKf1YXKWexmTHzoVPBUCVC1yW0VsdaQaZ5lfEweBt_Ou0Nvw1HuXO_bGCkZ5wLzaIuRNR1YxrsQvK1l55tv5U8SQZ6Hkueh5DCUjMWi4nFQuL77l_wL5wtoxg</recordid><startdate>20190911</startdate><enddate>20190911</enddate><creator>Barouqa, Mohammad</creator><creator>Fecher, Roger</creator><creator>Wolgast, Lucia R</creator><creator>Forest, Stefanie</creator><general>Oxford University Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20190911</creationdate><title>The Burden of Add-On Orders in a Laboratory With Manual Processing</title><author>Barouqa, Mohammad ; Fecher, Roger ; Wolgast, Lucia R ; Forest, Stefanie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1031-707b6bcb154354eb23e083e968f7a62917cc083b4934a90afc6ed83bbb05b3553</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>Automation</topic><topic>Calcium-binding protein</topic><topic>Creatine</topic><topic>Creatine kinase</topic><topic>Information systems</topic><topic>Laboratories</topic><topic>Magnesium</topic><topic>Thyroid</topic><topic>Thyroid-stimulating hormone</topic><topic>Troponin</topic><topic>Vancomycin</topic><topic>Vitamin B12</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Barouqa, Mohammad</creatorcontrib><creatorcontrib>Fecher, Roger</creatorcontrib><creatorcontrib>Wolgast, Lucia R</creatorcontrib><creatorcontrib>Forest, Stefanie</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>American journal of clinical pathology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barouqa, Mohammad</au><au>Fecher, Roger</au><au>Wolgast, Lucia R</au><au>Forest, Stefanie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The Burden of Add-On Orders in a Laboratory With Manual Processing</atitle><jtitle>American journal of clinical pathology</jtitle><date>2019-09-11</date><risdate>2019</risdate><volume>152</volume><issue>Supplement_1</issue><spage>S16</spage><epage>S16</epage><pages>S16-S16</pages><issn>0002-9173</issn><eissn>1943-7722</eissn><abstract>Abstract
In order to avoid additional blood draws for their patients, clinicians frequently order add-on tests on existing specimens in the laboratory. Manually processing these add-ons is problematic, utilizes tremendous resources, and raises concerns regarding specimen integrity. The objective of this study was to analyze add-on ordering patterns and assess the time and resources required to complete these orders. In this retrospective study conducted at a large, multisite, academic medical center, a report was generated from the laboratory information system (LIS) to identify all the add-on orders that were placed with details about the type of add-on test, which specimen it was added to, and location from where an add-on order was placed for a 2-month period (August 5 to October 4, 2018). The workflow was observed and financial cost was calculated. The laboratory received 5,658 add-on orders during the study period. By laboratory protocol, 859 tests were cancelled, leaving 4,799 tests to be processed. Add-on orders were most common for liver tests (7.48%), creatine kinase (6.35%), troponin (6.31%), vancomycin level (5.93%), thyroid-stimulating hormone (4.91%), magnesium (4.81%), and vitamin B12 (4.33%). The add-on orders were mainly generated for inpatient (74.07%) followed by emergency (17.79%) and outpatient departments (8.12%). The add-on request is placed by the clinical provider in the hospital information system (HIS) as a generic “Add-on Order” test, with free text to specify the test and specimen. A clerk in the laboratory uses the LIS-generated work list to electronically order the requested tests to the original specimen. Subsequently, a clerk must manually locate the original specimen and deliver it to the performing lab to run the add-on test. The median turnaround time from the provider placing the generic add-on order in the HIS to the lab placing the add-on in the LIS is 119 minutes. The median time for the provider to place an add-on after the initial order is 462 minutes. The average time needed to monitor the add-on work list, electronically place the add-on to the original order, and retrieve the sample for one test for a skilled senior statistical clerk is 7 minutes. The average number of add-on requests received daily is 71. Therefore, the daily time to process add-ons is 497 minutes (8.2 hours). Based on the hourly cost and fringe in the laboratory ($28.92/hour), these add-on tests cost $237/day in labor ($86,000/year). Our study demonstrates the significant cost and labor burden of add-on tests in a laboratory with manual processing. The laboratory is considering transitioning to direct provider ordering of add-ons to existing specimens using laboratory-defined rules in the HIS and moving to total laboratory automation with robotic specimen archival and retrieval to reduce the manual efforts, which would streamline the add-on workflow.</abstract><cop>US</cop><pub>Oxford University Press</pub><doi>10.1093/ajcp/aqz112.031</doi></addata></record> |
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subjects | Automation Calcium-binding protein Creatine Creatine kinase Information systems Laboratories Magnesium Thyroid Thyroid-stimulating hormone Troponin Vancomycin Vitamin B12 |
title | The Burden of Add-On Orders in a Laboratory With Manual Processing |
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