ReviewProceedings (Baylor University. Medical Center)2024
Lab testing overload: a comprehensive analysis of overutilization in hospital-based settings.
Review in Proceedings (Baylor University. Medical Center), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed.
- De-implementation of routine laboratory testing in a surgical intensive care unit: lessons from a two-phase quality improvement initiative.BMJ open quality · 2026Article
- Constipation in the Pediatric Emergency Department: Clinical Presentations, Diagnostic Context and Testing Patterns.Diseases (Basel, Switzerland) · 2026Article
- Linking clinical documentation deficiencies to insurance reimbursement losses: a data quality perspective.BMC health services research · 2026Article
- SmartAlert - Implementing Machine Learning-Driven Clinical Decision Support for Inpatient Laboratory Utilization Reduction.NEJM AI · 2026Article
- Predicting Laboratory Test Ordering in Emergency Departments Using Integrated Structured and Unstructured Electronic Health Records: Machine Learning Study.JMIR medical informatics · 2026Article
- Review
- Article
- Evidence-Based Laboratory Testing Algorithms: A Strategic Approach to Improving Diagnostic Accuracy.Cureus · 2026Review
- Psychometric Properties of the Turkish Medical Maximizer-Minimizer Scale.Journal of multidisciplinary healthcare · 2026Article
- Interpretating Normal Values and Reference Ranges for Laboratory Tests.Journal of the American Board of Family Medicine : JABFM · 2025Review
- Evaluating the necessity of postoperative day 1 labs following laparoscopic radical nephrectomy (LRN).Translational andrology and urology · 2024Article
- Gender, race, and economic factors influencing screening practices in hidradenitis suppurativa: a cross-sectional analysis.Archives of dermatological research · 2024Article
- Testing wisely: toward more efficient laboratory utilization.Proceedings (Baylor University. Medical Center) · 2024Article
- Stewardship of Molecular Diagnostics in Transplant Viral Infections.Transplant infectious disease : an official journal of the Transplantation SocietyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Overuse of laboratory tests has been a growing problem in the inpatient hospital setting for years, which adds to the rising cost of care. Various factors come into play, such as clinical routines, lack of cost transparency, and the convenience of electronic health record-based ordering. The financial ramifications of the overuse are significant, as lab costs drive most medical decisions. Eliminating unnecessary testing with clinical decision support and best practices is associated with marked cost savings, improved outcomes, and decreased patient distress. The excessive use of laboratory tests highly affects patients, resulting in hospital-induced anemia, low patient satisfaction, and poor outcomes. Tackling lab overuse requires a multifaceted approach that includes education, technology, and policy changes. In the era of precision healthcare, optimizing test utilization can reduce costs, decrease waste, and improve patient care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.