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2.
Clin Lab ; 69(8)2023 Aug 01.
Article in English | MEDLINE | ID: mdl-37560865

ABSTRACT

BACKGROUND: Diagnostic errors in clinical laboratory testing are extremely common and are major roadblocks in providing timely patient care. The purpose of this project was to investigate whether collaboration between the clinical laboratory, a diagnostic management team (DMT), and physicians who are ordering tests for a patient, resulted in improved test utilization by choosing wisely and better patient care in an academic medical center. METHODS: A retrospective study for a period of 24 months between 2017 and 2019 evaluated whether improvement of test ordering was achieved by timely interventions from the clinical laboratory and the coagulation DMT, resulting in fewer test selection errors. RESULTS: The results showed about 54% improvement in diagnostic errors for coagulation test selection in 634 patients evaluated for bleeding or thrombotic disorders by DMT when compared to previous studies. Furthermore, a total of approximately 2,400 coagulation test orders for patients that were done from July 2017 to July 2018 required intervention in 12% of the cases in the initial six months. When physician education was provided, intervention was needed in only approximately 4% of the cases, an improvement of 67% that was statistically significant at p-value < 0.05. Only 28% of the cases were associated with underutilization or failure to order required initial tests. The generated cost savings from prevention of over and underutilization of laboratory tests was in the order of ~ $16,000. CONCLUSIONS: The clinical laboratory and a DMT can function as an effective decision support system in decreasing errors in diagnostic test selection and facilitate knowledge among care providers regarding test results and interpretation, that may help in proper evidence-based guidelines and disease management.


Subject(s)
Clinical Laboratory Services , Laboratories, Clinical , Humans , Retrospective Studies , Clinical Laboratory Techniques/methods , Diagnostic Errors/prevention & control
3.
Acad Pathol ; 8: 23742895211034121, 2021.
Article in English | MEDLINE | ID: mdl-34414258

ABSTRACT

This report discusses the need for a Doctorate in Clinical Laboratory Sciences program and describes a curriculum to train Doctorate in Clinical Laboratory Sciences students. The Doctorate in Clinical Laboratory Sciences program was developed to help reduce diagnostic errors in patient care by enhancing connections between the clinical laboratory and health care providers. Data are presented from program implementation in 2016 to 2017 academic year to 2019 to 2020 regarding the faculty and student demographics, program statistics (eg, admissions and attrition rates), and effectiveness. Perceptions of program effectiveness were obtained via surveys from 28 faculty physicians who supervised Doctorate in Clinical Laboratory Sciences students during clinical service rotations. Another survey assessed the preferred type of practice after graduation of 33 students. Over the 4-year period, the program had a 50% rate of admission and a 21.8% attrition rate. As of December 2020, 15 students graduated from the program. The majority (69%-82%) of physician faculty who completed the survey agreed that Doctorate in Clinical Laboratory Sciences students contributed positively at clinical rounds. Approximately two-thirds of students reported a preference to lead a Diagnostic Management Team or serve as an advanced practice provider in a Diagnostic Management Team with leadership provided by an MD/DO or PhD. This report provides useful information for other institutions that may want to establish similar Doctorate in Clinical Laboratory Sciences programs. Early data suggest that our program effectively trains doctoral-level advanced practice medical laboratory scientists, who may play an important role in improving patient safety by reducing diagnostic errors and providing value-based, optimal patient care.

4.
Clin Lab ; 67(7)2021 Jul 01.
Article in English | MEDLINE | ID: mdl-34258982

ABSTRACT

BACKGROUND: The failure to order the correct diagnostic test at the right time is one of the major contributing factors of diagnostic error. Excessive testing can lead to added economic burden and addressing underutilization is precarious as clinicians often fail to order the tests that would improve diagnosis, prognosis, and management. METHODS: A retrospective analysis of errors in test orders of thyroid function testing (TFT) in 321 pregnant women suspected of clinical and subclinical thyroid disorders was performed. Test selection was evaluated, and determinations were made about the extent of overutilization and underutilization of TFTs in reviewing each individual patient case by a Doctorate in Clinical Laboratory Science (DCLS) scholar. RESULTS: About 77% (247 cases) of the cases were found to have errors associated with test ordering for TFT. Of the cases reviewed, 18% cases were associated with overutilization, 53% of the cases were associated with underutilization, and 7% were associated with both (overutilization and underutilization). The annual cost burden because of ordering unnecessary tests was estimated to be approximately $13,000. The cost burden from errors resulting from not ordering a test would be of much greater magnitude but was difficult to estimate because underutilization has a ripple effect and may cause prolonged hospital stays, unnecessary medical bills, and delayed/ missed diagnosis leading to poor outcomes for patients. CONCLUSIONS: This study evaluated whether proper utilization of TFT were made at maternal health clinic locations of a large academic medical center in pregnant women to diagnose thyroid disorder and reported the issue of wastage of resources in the clinical laboratory. The study findings show significant errors in ordering of TFT for pregnant women in more than 75% of the cases that was based on evidence-based review of patient cases.


Subject(s)
Pregnant Women , Thyroid Function Tests , Diagnostic Errors , Diagnostic Tests, Routine , Female , Humans , Pregnancy , Retrospective Studies
5.
Diagnosis (Berl) ; 8(4): 497-503, 2021 11 25.
Article in English | MEDLINE | ID: mdl-33675217

ABSTRACT

OBJECTIVES: Diagnostic Management Teams (DMTs) are one strategy for reducing diagnostic errors. This study examined errors in serology test selection after a positive antinuclear antibody (ANA) test in patients with suspected systemic autoimmune rheumatic disorder (SARD). METHODS: This retrospective study included 246 patient cases reviewed by our ANA DMT from March to August 2019. The DMT evaluated the appropriateness of tests beyond ANA screening tests (overutilization, underutilization, or both) based on American College of Rheumatology recommendations and classified cases into diagnostic error or no error groups. Errors were quantified, and patient and provider characteristics associated with diagnostic errors were assessed. RESULTS: Among 246 cases, 60.6% had at least one diagnostic error in test selection. The number of sub-serology tests ordered was 2.4 times higher in the diagnostic error group than in the no error group. The likelihood of at least one diagnostic error was higher in males and African American/Black patients, although the differences were not statistically significant. Providers from general internal medicine, primary care, and non-rheumatology specialties were approximately two times more likely to make diagnostic errors than rheumatology specialists. CONCLUSIONS: Diagnostic errors in test selection after a positive ANA for patients with suspected SARD were common, although there were fewer errors when ordered by rheumatology specialists. These findings support the need to develop strategies to reduce diagnostic errors in test selection for autoimmunity evaluation and suggest that implementation of a DMT can be useful for providing guidance to clinicians to reduce overutilization and underutilization of laboratory tests.


Subject(s)
Antibodies, Antinuclear , Autoimmune Diseases , Autoimmune Diseases/diagnosis , Diagnostic Errors , Humans , Male , Probability , Retrospective Studies , United States
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