Ethics for Laboratory Medicine

Ethics of Preanesthesia Mandatory Laboratory Testing

Some practices require mandatory preoperative laboratory testing for select patients presenting for anesthesia and surgery. Such mandatory preanesthesia laboratory testing has significant ethical implications related to informed consent and patient autonomy. Assumptions that a patient provides "presumed consent" by merely presenting for a test are flawed because such consents are often not informed and do not acknowledge patient autonomy. By placing a condition on access to a medical treatment, mandatory preanesthesia testing may not be ethically justifiable. Not all laboratory tests are "ethically equal"; several raise specific questions regarding informed consent, related to their potential to cause significant harm.

Ethical Principles Do Not Support Mandatory Preanesthesia Pregnancy Screening Tests: A Narrative Review

Respect for patient autonomy is a pillar of medical ethics, manifested predominantly through informed consent. Mandatory (routine) nonconsented preoperative urine pregnancy testing does not adequately respect patient autonomy, is potentially coercive, and has the potential to cause harm medically, psychologically, socially, and financially. Inaccuracies in pregnancy testing can result in false-positive and false-negative results, especially in early pregnancy. There is substantial scientific evidence that anesthesia is not harmful to the fetus, raising the question of whether pregnancy testing provides substantial benefit to the patient. Not performing a preanesthesia pregnancy test has not been associated with significant medicolegal consequences. We review the ethical implications of mandatory preanesthesia pregnancy testing in light of these facts.

The European Register of Specialists in Clinical Chemistry and Laboratory Medicine: code of conduct, version 3 - 2023

Whilst version 2 focussed on the professional conduct expected of a Specialist in Laboratory Medicine, version 3 builds on the responsibilities for ethical conduct from point of planning to point of care. Particular responsibilities that are outlined include: - The need for evidence when planning a new service, providing assurance that a new test does not do harm - Maintaining respect for patient confidentiality, their religious/ethnic beliefs, the need for informed consent to test, agreement on retrospective use of samples as part of governance envelopes in the pre-analytical phase - Ensuring respect for patient autonomy in the response to untoward results generated in the analytical phase - Supporting the safety of patients in the post-analytical phase through knowledge-based interpretation and presentation of results - The duty of candour to disclose and respond to error across the total testing process - Leading initiatives to harmonise and standardise pre-analytical, analytical and post-analytical phases to ensure more consistent clinical decision making with utilisation of demand management to ensure more equitable access to scarce resources - Working with emerging healthcare providers beyond the laboratory to ensure consistent application of high standards of clinical care In identifying opportunities for wider contributions to resolving ethical challenges across healthcare the need is also highlighted for more external quality assurance schemes and ethics-based quality indicators that span the total testing process.

Clinlabomics: leveraging clinical laboratory data by data mining strategies

The recent global focus on big data in medicine has been associated with the rise of artificial intelligence (AI) in diagnosis and decision-making following recent advances in computer technology. Up to now, AI has been applied to various aspects of medicine, including disease diagnosis, surveillance, treatment, predicting future risk, targeted interventions and understanding of the disease. There have been plenty of successful examples in medicine of using big data, such as radiology and pathology, ophthalmology cardiology and surgery. Combining medicine and AI has become a powerful tool to change health care, and even to change the nature of disease screening in clinical diagnosis. As all we know, clinical laboratories produce large amounts of testing data every day and the clinical laboratory data combined with AI may establish a new diagnosis and treatment has attracted wide attention. At present, a new concept of radiomics has been created for imaging data combined with AI, but a new definition of clinical laboratory data combined with AI has lacked so that many studies in this field cannot be accurately classified. Therefore, we propose a new concept of clinical laboratory omics (Clinlabomics) by combining clinical laboratory medicine and AI. Clinlabomics can use high-throughput methods to extract large amounts of feature data from blood, body fluids, secretions, excreta, and cast clinical laboratory test data. Then using the data statistics, machine learning, and other methods to read more undiscovered information. In this review, we have summarized the application of clinical laboratory data combined with AI in medical fields. Undeniable, the application of Clinlabomics is a method that can assist many fields of medicine but still requires further validation in a multi-center environment and laboratory.

Medical laboratory staff satisfaction and their perspective on the role of health institutions to combat COVID-19 pandemic

Objective

To assess the facilities and challenges encountered in the clinical laboratories, satisfaction of the medical laboratory staff (MLS) toward their profession and their views on the role of related health institutions during the first wave of the Coronavirus Disease 2019 (COVID-19) pandemic in Nepal.

Methods

A web-based cross-sectional study was conducted among registered MLS in Nepal. Data were collected using a structured self-reported questionnaire on the Google Docs platform.

Results

A total of 301 respondents were enrolled in the study; of which 180 were male and 121 were female. Of the 301 respondents, a lack of infrastructure was reported by 241 (80.1%), a lack of skill development training by 204 (67.8%), limited availability of diagnostics kits by 151 (50.2%), overburdened by the workload by 142 (47.2%) and difficulty in sample management by 129 (42.9%). A total of 244 of 301 respondents (81.1%) believed that stakeholder institutions should collaborate with the government during the pandemic. The level of satisfaction during the pandemic (130 of 301; 43.19%) was found to have decreased compared with before the pandemic (203 of 301; 67.4%).

Conclusion

MLS were not fully satisfied with the available resources during the pandemic.

Strategies for laboratory professionals to drive laboratory stewardship

Appropriate laboratory testing is critical in today's healthcare environment that aims to improve patient care while reducing cost. In recent years, laboratory stewardship has emerged as a strategy for assuring quality in laboratory medicine with the goal of providing the right test, for the right patient, at the right time. Implementing a laboratory stewardship program now presents a valuable opportunity for laboratory professionals to exercise leadership within health systems and to drive change toward realizing aims in healthcare. The proposed framework for program implementation includes 5 key elements: 1) a clear vision and organizational alignment; 2) appropriate skills for program execution and management; 3) resources to support the program; 4) incentives to motivate participation; and, 5) a plan of action that articulates program objectives and metrics. This framework builds upon principles of change management, with emphasis on engagement with clinical and administrative stakeholders and the use of clinical data as the basis for change. These strategies enable laboratory professionals to cultivate organizational support for improving laboratory use and take a leading role in providing high-quality patient care.

Research Ethics Committees in Laboratory Medicine

Biomedical research that involves human subjects requires compliance with ethical principles and guidelines. The ethical and scientific standards of research have been thoroughly discussed by international ethical guidelines and declarations. Compliance with these ensures the autonomy, dignity and well-being of research subjects; as well as the integrity and credibility of research results. Research ethics committees (RECs) are mandated to ensure that research proposals are scientifically sound and ethical. In this review, we define RECs in laboratory medicine and describe their role based on the examination of the requirements of ethical research; discuss particular ethical issues that arise in laboratory medicine research using biological samples, what challenges they face and how they can ensure the quality of their review. RECs need to be put into a broader framework that ensures institutional governance with continuous evaluation and auditing that ensure the quality of ethical review.

The Ethics of Direct-to-Consumer Testing

Direct to consumer laboratory testing is a rapidly growing industry. However, the idea of consumers ordering their own laboratory tests has raised ethical concerns. Respect for autonomy, beneficence, nonmaleficence, and justice are core principles of biomedical ethics. Although direct to consumer testing would seem to offer autonomy to consumers, autonomy is only maintained if certain criteria are met, including intentionality, understanding, and noncontrol. There is little published evidence to support either beneficence or maleficence of direct to consumer testing. Finally, there are conflicting opinions about the justice of direct to consumer testing and whether it increases or decreases health disparities.