Volume 40 Number 2 | April 2026
Summary
The article explains how patient safety, quality, and ethics are deeply interconnected in laboratory medicine. Accurate testing, adherence to procedures, and ethical decision‑making protect patients throughout all testing phases. Real‑world examples show how professionalism guides difficult decisions, while emerging technologies like AI offer benefits but require careful oversight to ensure safe, equitable, high‑quality clinical laboratory care.
Dhara Parekh, MS, MLS in Leadership, Volunteer Contributor
Patient safety, quality, and ethics are essential components of healthcare delivery, and their relationship is clearly demonstrated in medical laboratory practice.¹ Although laboratory professionals often work outside of direct patient view, the accuracy, reliability, and timeliness of laboratory results play a critical role in diagnosis, clinical decision-making, and patient outcomes. Ethical practice guides laboratory professionals throughout the testing process and supports the provision of safe, high-quality patient care.¹
Ethical principles such as non-maleficence, or “do no harm,” along with beneficence, justice, and respect for patient autonomy, serve as the foundation for professional conduct across all areas of healthcare.2 In laboratory medicine, these principles are reflected in strict adherence to validated testing procedures, accurate and honest reporting of results, safeguarding patient confidentiality, and maintaining respect for patient dignity. The Institute of Medicine (IOM) outlines six core aims of quality healthcare: safety, effectiveness, patient-centered care, timeliness, efficiency, and equity.3 Laboratory services play a vital role in achieving each of these goals by supporting evidence-based clinical decisions, preventing delays in diagnosis and treatment, reducing unnecessary repeat testing, and promoting fair access to diagnostic services regardless of race, socioeconomic status, or background.
Despite advances in automation, digitalization, and diagnostic technologies, preventable patient harm remains a global concern. The World Health Organization (WHO) defines patient safety as the absence of preventable harm and the reduction of unnecessary risk associated with healthcare to an acceptable minimum.2 Increasing test volumes, staffing shortages, workflow constraints, and growing expectations for rapid turnaround times place additional pressure on laboratory systems. In this environment, ethical decision-making remains central to professionalism and patient safety in laboratory medicine.
Professional ethics extend beyond simple regulatory compliance and are reflected in the daily values, behaviors, and decisions that guide laboratory practice. Maintaining professional competency, adhering to established standard operating procedures, protecting patient confidentiality, and reporting results with honesty and accuracy are fundamental ethical responsibilities.4 These practices have a direct impact on patient safety and the quality of care delivered. A strong ethical foundation also fosters a culture of patient safety within the laboratory, helping to minimize errors and contribute to improved patient outcomes.
“Professional ethics extend beyond simple regulatory compliance and are reflected in the daily values, behaviors, and decisions that guide laboratory practice.”
Throughout my professional experience in various clinical laboratory settings, I have encountered numerous situations that required balancing patient safety, quality standards, and ethical responsibilities. These challenges often arise during routine tasks that appear minor but carry significant consequences for patient care. Early in my career, I worked in an outpatient setting where phlebotomy and specimen processing were part of my daily responsibilities. Many patients in clinics appear healthy and ambulatory, but anxiety related to blood collection is common. These experiences highlighted the importance of patient-centered care, especially for individuals who required frequent testing for chronic disease management and had established preferences for venipuncture sites. Listening to patient concerns and providing clear explanations of procedures taught me that empathy and effective communication play a vital role in enhancing the patient experience, all while ensuring safety and maintaining high-quality standards.
When I began working in a hospital laboratory, I noticed how patient care challenges become more complex in the inpatient setting. Patients often face fatigue, pain, and emotional stress, and procedures such as early morning blood draws, fasting, and strict medication schedules can add to their discomfort. Despite these challenges, collecting specimens promptly is essential so physicians have the information they need during rounds to make timely treatment decisions. Providing ethical, patient-focused laboratory care in this environment requires compassion, clear communication, and respect for patient dignity. Taking the time to explain the purpose of tests helps patients feel informed and respected during their inpatient stay.
Ethical challenges can arise during the pre-analytical, analytical, and post-analytical phases of laboratory testing. One day, I received a urine specimen ordered for both urinalysis and culture, but the container in the transport bag was broken. I could perform only the basic urinalysis—culture and sensitivity testing could not be done due to contamination. Following laboratory standards and ethical practice, I immediately informed the nurse and the provider that a new specimen was required. They explained that the patient’s surgery had been delayed because testing was incomplete. Reporting results from a compromised specimen could have resulted in misdiagnosis or inappropriate treatment. Ensuring quality and accuracy, even when it causes delays or inconvenience, is an essential ethical responsibility in laboratory practice.
Similar challenges often arise with STAT testing, especially in emergency department settings. Providers frequently need rapid results to make critical clinical decisions. At the same time, laboratory analyzers can produce flags that necessitate repeat testing, manual review, or verification in accordance with established policies. These safety measures are essential to prevent inaccurate or misleading results. While they may slightly extend turnaround times, skipping these steps would put patient safety and quality of care at risk.
I worked for several years in an urgent care laboratory, which functioned primarily as a STAT lab. The facility’s hematology analyzer could perform complete blood counts (CBCs), but manual differential testing could not be performed on-site. One day, a patient presented with dizziness and chest pain. After evaluation by the medical assistant and providers, it was determined that immediate laboratory testing was necessary. During testing, the patient’s platelet count fell below the analyzer’s validated linearity range, meaning the instrument could not provide an accurate numeric result. Although the provider requested a specific value to make decisions about transferring the patient to the emergency room, I could not ethically report a value beyond the analyzer’s capabilities. I communicated this limitation clearly to the provider and documented the results appropriately. Maintaining transparency and accuracy was essential to prevent misinterpretation and to uphold professional trust.
As laboratory practice evolves, ethical responsibilities now extend beyond traditional testing processes to emerging technologies such as artificial intelligence (AI).5 As AI and machine learning (ML) become more integrated into healthcare, their use in laboratory medicine expands rapidly. AI-driven systems now support predictive analytics, workflow optimization, quality control, and result interpretation. These technologies can enhance patient safety by reducing human error, improving consistency, and identifying trends earlier than traditional methods when implemented responsibly.
In the clinical laboratory, AI assists with detecting analyzer errors, predicting specimen quality issues, optimizing turnaround times, and identifying abnormal testing patterns. Machine learning algorithms can analyze large datasets to uncover insights that may not be immediately obvious to human reviewers, helping reduce unnecessary work, support earlier interventions, and improve patient outcomes.6 AI offers many benefits, but it also raises important ethical considerations. Algorithm performance depends on the quality and representativeness of the data used for training, and biased datasets can produce unfair or inequitable outcomes for vulnerable patient populations. Patient safety must remain the foremost priority when adopting AI technologies. AI should support, not replace, professional judgment. Laboratory professionals are responsible for validating system performance, ensuring standardization and evidence-based practice, understanding system limitations, and continuously monitoring AI-driven outcomes to maintain safe and ethical practice.
Patient safety, quality, and ethics form the foundation of medical laboratory practice. From collecting specimens and validating results to addressing analytical challenges and incorporating advanced technologies such as artificial intelligence, laboratory professionals have a responsibility to protect patients and support effective clinical care. While AI provides opportunities to enhance safety, improve quality, and streamline workflows, it also demands careful ethical oversight from laboratory scientists. By upholding high standards, ensuring transparency and accountability, promoting ongoing education, and fostering a culture of ethical practice, laboratories can harness technological advancements to deliver care that is safe, reliable, and equitable for all patients.
References
- Shenoy A. Patient safety from the perspective of quality management frameworks: a review. Patient Saf Surg. 2021;15(1):12. Published 2021 Mar 22. doi:10.1186/s13037-021-00286-6.
- World Health Organization. Patient Safety. https://www.who.int/news-room/fact-sheets/detail/patient-safety
- Javier, JR. “Bridging Health Equity, Quality Improvement, and Patient Safety.” Journal of Healthcare Quality and Safety Innovations, vol. 12, 2025.
- Young M, Wagner A. Medical Ethics. [Updated 2024 May 7]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; 2025 Jan-. Available from: https://www.ncbi.nlm.nih.gov/books/NBK535361/
- Dullabh, P. “New Performance Measurement Framework for Realizing Quality Domains in Healthcare.” Journal of Medical Internet Research, vol. 27, no. 1, 2025. Zhang J, Zhang ZM. Ethics and governance of trustworthy medical artificial intelligence. BMC Med Inform Decis Mak. 2023 Jan 13;23(1):7. doi: 10.1186/s12911-023-02103-9. PMID: 36639799; PMCID: PMC9840286.
- Pennestrì, Federico and Banfi, Giuseppe. “Artificial intelligence in laboratory medicine: fundamental ethical issues and normative key-points” Clinical Chemistry and Laboratory Medicine (CCLM), vol. 60, no. 12, 2022, pp. 1867-1874. https://doi.org/10.1515/cclm-2022-0096.
Dhara Parekh is a Medical Technologist in the Microbiology Department at Chester County Hospital in Westchester, Pennsylvania.