Journal:Process variation detection using missing data in a multihospital community practice anatomic pathology laboratory
|Full article title||Process variation detection using missing data in a multihospital community practice anatomic pathology laboratory|
|Journal||Journal of Pathology Informatics|
|Author(s)||Galliano, Gretchen E.|
|Author affiliation(s)||Ochsner Health System|
|Primary contact||Email: login at original journal required|
|Volume and issue||10|
|Distribution license||Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International|
|This article should be considered a work in progress and incomplete. Consider this article incomplete until this notice is removed.|
Objectives: Barcode-driven workflows reduce patient identification errors. Missing process timestamp data frequently confound our health system's pending lists and appear as actions left undone. Anecdotally, it was noted that missing data could be found when there is procedure noncompliance. This project was developed to determine if missing timestamp data in the histology barcode-driven workflow correlated with other process variations, procedure noncompliance, or is an indicator of workflows needing focus for improvement projects.
Materials and methods: Data extracts of timestamp data from January 1, 2018 to December 15, 2018 for the major histology process steps were analyzed for missing data. Case-level analysis to determine the presence or absence of expected barcoding events was performed on 1031 surgical pathology cases to determine the cause of the missing data and determine if additional data variations or procedure noncompliance events were present. The data variations were classified according to a scheme defined in the study.
Results: Of 70,085 cases, there were 7218 (10.3%) with missing process timestamp data. Missing histology process step data was associated with other additional data variations in case-level deep dives (P < 0.0001). Of the cases missing timestamp data in the initial review, 18.4% of the cases had no identifiable cause for the missing data (all expected events took place in the case-level deep dive).
Conclusions: Operationally, valuable information can be obtained by reviewing the types and causes of missing data in the anatomic pathology laboratory information system, but only in conjunction with user input and feedback.
Keywords: anatomic pathology laboratory information system, anatomic pathology, laboratory information systems, laboratory management
Specimen identification errors in the laboratory, from collection to sign off, are estimated to occur in 0.6% to 6% of cases, depending on the definition of error and the test phase studied. Layfield and Anderson found that incorrect linkage of a specimen to a patient can comprise up to 73% of in-process errors. One way to combat this is through barcode-driven histology processes, which been shown to be safer and reduce specimen identification errors. In fact, Zarbo et al. have shown that a barcode-enabled process can reduce laboratory misidentification errors by 62%. There are several reasons for this, including a reduction in typing, a reduced need for interpretation of hand-written numbers, and improved maintenance of the chain of custody of all the assets of the case, from receipt to sign off, better ensuring the produced pathology materials correspond to the patient when procedures are followed fully. However, barcode-enabled processes are only as good as their integration into the workflows of the laboratory and use by the staff.
- Nakhleh, R.E.; Zarbo, R.J. (1996). "Surgical pathology specimen identification and accessioning: A College of American Pathologists Q-Probes Study of 1,004,115 cases from 417 institutions". Archives of Pathology and Laboratory Medicine 120 (3): 227–33. PMID 8629896.
- Banks, P.; Brown, R.; Laslowski, A. et al. (2017). "A Proposed Set of Metrics to Reduce Patient Safety Risk From Within the Anatomic Pathology Laboratory". Laboratory Medicine 48 (2): 195–201. doi:10.1093/labmed/lmw068. PMC PMC5424539. PMID 28340232. http://www.pubmedcentral.nih.gov/articlerender.fcgi?tool=pmcentrez&artid=PMC5424539.
- Layfield, L.J.; Anderson, G.M. (2010). "Specimen labeling errors in surgical pathology: an 18-month experience". American Journal of Clinical Pathology 134 (3): 466-70. doi:10.1309/AJCPHLQHJ0S3DFJK. PMID 20716804.
- Zarbo, R.J.; Tuthill, J.M.; D'Angelo, R. et al. (2009). "The Henry Ford Production System: reduction of surgical pathology in-process misidentification defects by bar code-specified work process standardization". American Journal of Clinical Pathology 131 (4): 468-77. doi:10.1309/AJCPPTJ3XJY6ZXDB. PMID 19289582.
- Nakhleh, R.E. (2009). "Core components of a comprehensive quality assurance program in anatomic pathology". Advances in Anatomic Pathology 16 (6): 418–23. doi:10.1097/PAP.0b013e3181bb6bf7. PMID 19851132.
- Hanna, M.G.; Pantanowitz, L. (2015). "Bar Coding and Tracking in Pathology". Surgical Pathology Clinics 8 (2): 123–35. doi:10.1016/j.path.2015.02.017. PMID 26065787.
This presentation is faithful to the original, with only a few minor changes to presentation. Grammar was cleaned up for smoother reading. In some cases important information was missing from the references, and that information was added.