Order Indication Solicitation to Assess Clinical Laboratory Test Utilization: D-Dimer Order Patterns as an Illustrative Case

Background:A common challenge in the development of laboratory clinical decision support (CDS) and laboratory utilization management (UM) initiatives stems from the fact that many laboratory tests have multiple potential indications, limiting the ability to develop context-specific alerts. As a pote...

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Main Authors: Joseph W Rudolf (Author), Jason M Baron (Author), Anand S Dighe (Author)
Format: Book
Published: Elsevier, 2019-01-01T00:00:00Z.
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100 1 0 |a Joseph W Rudolf  |e author 
700 1 0 |a Jason M Baron  |e author 
700 1 0 |a Anand S Dighe  |e author 
245 0 0 |a Order Indication Solicitation to Assess Clinical Laboratory Test Utilization: D-Dimer Order Patterns as an Illustrative Case 
260 |b Elsevier,   |c 2019-01-01T00:00:00Z. 
500 |a 2153-3539 
500 |a 2153-3539 
500 |a 10.4103/jpi.jpi_46_19 
520 |a Background:A common challenge in the development of laboratory clinical decision support (CDS) and laboratory utilization management (UM) initiatives stems from the fact that many laboratory tests have multiple potential indications, limiting the ability to develop context-specific alerts. As a potential solution, we designed a CDS alert that asks the ordering clinician to provide the indication for testing, using D-dimer as an exemplar. Using data collected over a nearly 3-year period, we sought to determine whether the indication capture was a useful feature within the CDS alert and whether it provided actionable intelligence to guide the development of an UM strategy. Methods: We extracted results and ordering data for D-dimer testing performed in our laboratory over a 35-month period. We analyzed order patterns by clinical indication, hospital service, and length of hospitalization. Results: Our final data set included 13,971 result-order combinations and indeed provided actionable intelligence regarding test utilization patterns. For example, pulmonary embolism was the most common emergency department indication (86%), while disseminated intravascular coagulation was the most common inpatient indication (56%). D-dimer positivity rates increased with the duration of hospitalization and our data suggested limited utility for ordering this test in the setting of suspected venous thromboembolic disease in admitted patients. In addition, we found that D-dimer was ordered for unexpected indications including the assessment of stroke, dissection, and extracorporeal membrane oxygenation. Conclusions: Indication capture within a CDS alert and correlation with result data can provide insight into order patterns which can be used to develop future CDS strategies to guide appropriate test use by clinical indication. 
546 |a EN 
690 |a clinical laboratory information systems 
690 |a clinical decision support systems 
690 |a medical order entry systems 
690 |a Computer applications to medicine. Medical informatics 
690 |a R858-859.7 
690 |a Pathology 
690 |a RB1-214 
655 7 |a article  |2 local 
786 0 |n Journal of Pathology Informatics, Vol 10, Iss 1, Pp 36-36 (2019) 
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787 0 |n https://doaj.org/toc/2153-3539 
856 4 1 |u https://doaj.org/article/c1d169bfc8894cf7be5ffa4c88e140b9  |z Connect to this object online.