Supporting Diagnostic Reasoning in Viet Nam: Clinical Uncertainty, Cognitive Bias and System Safeguards

Supporting Diagnostic Reasoning in Viet Nam: Clinical Uncertainty, Cognitive Bias and System Safeguards

A clinician assesses a patient whose symptoms appear consistent with a common condition. The initial findings support a reasonable working diagnosis, and a care plan is developed using the information available. Later, however, new findings suggest that the original explanation may not fully account for the patient's condition.

Was something important overlooked during the first assessment? Did the clinician become too confident in the initial diagnosis? Or did the illness become more recognizable only as it evolved?

These questions are difficult to answer retrospectively. A diagnosis that changes over time does not necessarily indicate an earlier error. Symptoms may have been nonspecific, relevant findings may not yet have developed, or several explanations may have been reasonable at the time.

Such situations illustrate a fundamental challenge in diagnostic safety. Healthcare professionals must make decisions despite incomplete information, often while managing competing priorities, interruptions, and substantial clinical workloads.

Clinical knowledge and experience remain essential, but diagnostic reasoning does not occur independently of the healthcare environment. Access to specialist expertise, the organization of clinical information, opportunities for professional feedback, and working conditions can all influence how diagnostic decisions are made.

For healthcare organizations in Viet Nam, supporting diagnostic reasoning means looking beyond individual knowledge or awareness of cognitive bias. It requires attention to the circumstances in which clinicians work and the practical safeguards that may help them recognize uncertainty, reconsider assumptions, and use relevant information appropriately.

The goal is not to guarantee that every diagnosis will be correct. It is to create conditions that support sound professional judgment while reducing avoidable vulnerabilities in the diagnostic process.

Diagnostic Reasoning Is Both a Clinical and a Systems Challenge

Clinical reasoning involves gathering and interpreting information, considering possible explanations for a patient's condition, comparing those explanations with available evidence, and determining what further assessment or action may be appropriate.

This process is rarely linear. A clinician may begin with several diagnostic possibilities, adjust their relative likelihood as new findings emerge, and reconsider an earlier conclusion when the clinical picture changes.

In Improving Diagnosis in Health Care (2015), the National Academies of Sciences, Engineering, and Medicine described diagnosis as a complex, collaborative process influenced by healthcare professionals, patients, information, technology, and organizational conditions.

The World Health Organization reinforced this broader understanding during World Patient Safety Day 2024, emphasizing that diagnostic safety involves both cognitive and system-related factors.

Cognitive factors concern how healthcare professionals perceive, interpret, remember, and use information. System-related factors include workload, access to diagnostic services, communication, teamwork, supervision, technology, and the broader working environment.

These influences often interact.

A clinician may have the knowledge needed to consider an alternative diagnosis but lack access to an earlier investigation. Another may recognize uncertainty but have limited opportunities to seek specialist advice. A third may need to interpret complex findings while managing repeated interruptions.

None of these circumstances automatically establishes that an error has occurred. They do, however, affect the conditions under which clinical judgments are formed and reconsidered.

Improving diagnostic reasoning therefore cannot rely exclusively on additional education or reminders to be more careful.

Healthcare organizations also need to understand whether their working arrangements help professionals use their knowledge effectively, recognize relevant information, and obtain support when clinical decisions become difficult.

This systems-based perspective does not diminish individual professional responsibility. Rather, it recognizes that appropriate clinical judgment is more likely to be supported when healthcare professionals have access to reliable information, relevant expertise, and workable organizational processes.

Clinical Uncertainty Is an Expected Part of Diagnosis

Uncertainty is unavoidable in clinical practice.

Patients do not always present with recognizable patterns of disease. Symptoms may overlap between different conditions, early findings may be inconclusive, and the available information may support more than one reasonable explanation.

Even experienced clinicians may be unable to establish a definitive diagnosis during the first consultation.

The presence of uncertainty should not automatically be interpreted as poor clinical performance. What matters is whether the available evidence is assessed appropriately and whether clinical decisions reflect the patient's circumstances.

A working diagnosis represents an explanation supported by the information available at a particular point. It may remain reasonable even if later findings lead to a different conclusion.

At the same time, uncertainty should not become a reason to avoid necessary decisions or continue with an explanation that no longer fits the evidence.

Healthcare professionals need to weigh the likelihood of different conditions, the potential consequences of missing an important diagnosis, and the benefits and risks of additional assessment.

This requires balance.

Excessive confidence may become problematic when a provisional explanation is treated as established despite important unresolved findings. Excessive uncertainty may also create risks if it leads to unnecessary investigations, repeated referrals, or delays in making an appropriate clinical decision.

Supporting diagnostic reasoning therefore involves helping clinicians maintain confidence that is proportionate to the available evidence.

This does not mean questioning every conclusion or considering every possible disease. It means recognizing when the information provides a sufficient basis for action and when important uncertainty deserves further consideration.

Healthcare organizations can support this process by ensuring that relevant clinical guidance, professional consultation, and appropriate decision-making resources are reasonably accessible.

The aim is not to eliminate uncertainty, but to support its appropriate recognition and management.

Understanding Cognitive Bias Without Using It as a Label

Healthcare professionals often rely on experience and pattern recognition to make decisions efficiently.

These abilities can be valuable. An experienced clinician may recognize a familiar presentation quickly because years of practice have helped develop reliable patterns of clinical knowledge.

Rapid reasoning is not inherently inferior to slower, more deliberate analysis. The usefulness of either approach depends on the clinical situation and how accurately the available information is interpreted.

Problems may arise when an early impression or familiar pattern receives more weight than the evidence justifies.

Cognitive biases are systematic tendencies in judgment that can influence how information is selected, interpreted, or remembered.

Anchoring bias describes the tendency to place disproportionate weight on an initial impression, even when later information suggests that reconsideration may be necessary.

Confirmation bias involves favoring information that supports an existing explanation while giving insufficient attention to findings that challenge it.

Premature closure refers to ending diagnostic consideration before relevant alternatives have been assessed appropriately.

Availability bias may occur when a particularly memorable or recently encountered diagnosis receives greater attention than its actual likelihood in the current clinical situation warrants.

These concepts can help healthcare professionals recognize potential vulnerabilities in reasoning, but they must be applied carefully.

An initial diagnosis that later changes does not automatically demonstrate anchoring. A decision not to pursue additional testing does not necessarily represent premature closure. A clinician may reasonably favor one diagnosis because the available evidence supports it more strongly than the alternatives.

Cognitive bias is also difficult to establish through retrospective review.

Once the eventual diagnosis is known, earlier findings may appear more obvious than they reasonably were at the time. Reviewers may unintentionally judge the original assessment using information that was not yet available.

This creates a risk of labeling a clinician's reasoning as biased simply because the outcome was unexpected.

For diagnostic safety, cognitive bias concepts are most useful when they support professional reflection and help identify circumstances in which additional information or reconsideration may be appropriate.

They should not become automatic explanations for unfavorable outcomes or substitutes for fair professional assessment.

Cognitive Workload and the Clinical Environment

Clinical reasoning takes place in environments where healthcare professionals often manage several responsibilities simultaneously.

A clinician may need to review laboratory findings, interpret imaging reports, assess patients with changing conditions, document care, communicate with colleagues, and respond to urgent requests.

These activities may all be necessary, but competing demands can place pressure on attention and working memory.

In May 2024, the Agency for Healthcare Research and Quality published Cognitive Load Theory and Its Impact on Diagnostic Accuracy, an issue brief examining how demands on human information processing may influence diagnostic performance.

Cognitive load theory provides a framework for understanding the mental resources required to process information and perform tasks.

Working memory has limited capacity. When substantial attention is devoted to unnecessary distractions, poorly organized information, or frequent task switching, fewer cognitive resources may remain available for complex clinical reasoning.

Consider a clinician reviewing a difficult case while moving repeatedly between electronic systems to locate previous findings. The necessary information may exist, but its organization makes it difficult to assemble a coherent clinical picture.

The challenge may not be a lack of medical knowledge. It may be the additional mental effort required to retrieve and organize the information.

Interruptions present another concern. Some are essential to patient care and require immediate attention. Others may occur at inappropriate times or involve tasks unrelated to the clinical decision being made.

The aim should not be to eliminate interruptions indiscriminately. Healthcare organizations need to understand which interruptions are necessary and where avoidable disruption can be reduced.

Workload, fatigue, staffing arrangements, supervision, and access to professional support may also influence the circumstances in which diagnostic decisions are made.

However, the relationship between cognitive load and diagnostic accuracy is complex. AHRQ's 2024 review identifies important limitations in the evidence, including the need for further research into how particular working conditions affect diagnostic outcomes.

High workload should therefore not automatically be treated as proof that a diagnostic error occurred.

It is also important to distinguish the mental effort inherent in complex clinical reasoning from avoidable demands created by poorly designed systems. Not all cognitive effort is unnecessary or harmful.

Nevertheless, cognitive load provides a useful perspective when organizations examine how clinical work is organized.

Improving the presentation of relevant information, reducing unnecessary task fragmentation, supporting appropriate supervision, and making specialist consultation more accessible may help healthcare professionals use their expertise more effectively.

These changes should be evaluated in their actual clinical settings rather than assumed to improve diagnostic outcomes automatically.

Recognizing When a Diagnosis Deserves Reconsideration

An important part of diagnostic reasoning is recognizing when an existing explanation no longer adequately accounts for the available information.

A patient's condition may evolve unexpectedly. New findings may conflict with the working diagnosis. Several pieces of information may no longer fit together as originally anticipated.

These circumstances may justify reconsideration.

The CDC's Core Elements of Hospital Diagnostic Excellence, published in February 2026, identifies reflective practice and the use of a diagnostic time-out as possible approaches to supporting diagnostic reasoning.

A diagnostic time-out provides a deliberate opportunity to reconsider the working diagnosis and the evidence supporting it.

Depending on the circumstances, clinicians may examine whether important findings remain unexplained, whether a plausible alternative deserves attention, or whether additional expertise could help resolve uncertainty.

The purpose is not to require clinicians to restart the diagnostic process whenever new information becomes available.

Nor should a diagnostic time-out become a mandatory pause before every clinical decision.

Its potential value lies in creating an opportunity for reflection when prolonged uncertainty, contradictory findings, or an unexpected clinical course makes reconsideration appropriate.

For example, a clinical team may recognize that a patient's condition is not progressing as anticipated. Before continuing with the original explanation or requesting a broad range of additional investigations, the team may benefit from reviewing the clinical question and relevant evidence.

That review may support the initial assessment, suggest an alternative explanation, or identify a reason to seek specialist input.

Each outcome may be appropriate depending on the circumstances.

The evidence supporting diagnostic time-outs remains limited. Although the approach is included in international diagnostic safety recommendations, its effectiveness in consistently reducing diagnostic errors or patient harm across healthcare settings has not been conclusively established.

Healthcare organizations considering this intervention should therefore examine when it may be useful, how it fits clinical workflows, and whether it introduces unintended consequences.

A safeguard should support appropriate decisions without creating unnecessary delays, documentation, or testing.

Clinical Reasoning Aids Need a Clear Purpose

Healthcare professionals use many resources to support diagnostic decisions, including clinical guidelines, reference materials, specialist consultation, structured assessment tools, and checklists.

These resources can help clinicians organize information or access knowledge relevant to a clinical question.

However, reasoning aids differ in their objectives and effectiveness.

Some are content-specific, providing information about a particular condition, examination, or diagnostic task. Others focus on the reasoning process itself, encouraging clinicians to consider alternatives or reconsider assumptions.

The distinction matters.

In Evidence on Use of Clinical Reasoning Checklists for Diagnostic Error Reduction (2020), AHRQ reviewed studies examining whether checklists improve diagnostic accuracy.

The findings were mixed. Some content-specific checklists showed benefits in selected tasks or groups of clinicians, while general process-focused checklists often demonstrated limited or inconsistent effects.

Much of the research was conducted in educational or experimental settings rather than routine clinical practice.

The review concluded that the available evidence was insufficient to support broad implementation of diagnostic reasoning checklists as a proven method for reducing diagnostic errors in everyday clinical care.

This does not mean that every structured tool is ineffective. A resource designed for a clearly defined clinical task may still be useful when supported by appropriate evidence.

It does mean that healthcare organizations should avoid assuming that introducing a general reasoning checklist will automatically improve diagnostic decisions.

A useful tool should address a recognizable clinical need, provide relevant information at an appropriate point, and fit the clinical workflow.

Implementation also requires attention to possible unintended consequences.

An overly complex checklist may increase documentation burden. Excessive reminders may contribute to alert fatigue. A decision-support tool may present information in a way that is difficult to interpret or gives a misleading impression of certainty.

These concerns also illustrate why evidence supporting successful checklists in other areas of patient safety cannot automatically be generalized to complex diagnostic reasoning.

The objective is to make relevant clinical knowledge more accessible and usable, not replace professional reasoning with additional administrative steps.

The Value of Multidisciplinary Perspectives

Diagnostic reasoning is often associated with the clinician primarily responsible for assessing the patient. In practice, relevant information and expertise may be distributed across several healthcare professionals.

Nurses may recognize changes in a patient's condition or raise concerns requiring clinical assessment. Laboratory and imaging specialists may clarify the limitations or significance of diagnostic findings. Other clinicians may provide alternative perspectives or specialized knowledge.

The National Academies and CDC recognize multidisciplinary collaboration as an important component of diagnostic excellence.

For complex cases, obtaining another professional perspective may help identify missing information, challenge an assumption, or clarify uncertainty.

However, not every difficult clinical question requires a formal multidisciplinary meeting.

The appropriate level of consultation depends on clinical urgency, the availability of expertise, the nature of the uncertainty, and applicable professional responsibilities.

A brief discussion with a colleague may sometimes be sufficient. Other situations may warrant specialist consultation or a structured multidisciplinary review.

Healthcare organizations influence whether such opportunities are available.

When professionals hesitate to ask questions because they fear appearing inexperienced, important uncertainty may remain unspoken.

Similarly, a rigid hierarchy may make it difficult for nurses, junior clinicians, or other team members to raise concerns about an assessment.

A supportive work environment should allow relevant concerns to be considered on their clinical merits, regardless of the professional status of the person raising them.

At the same time, multidisciplinary collaboration does not remove the responsibilities of licensed healthcare professionals for decisions within their authorized scope of practice.

The purpose of teamwork is to make appropriate expertise available and strengthen clinical decisions, not create uncertainty about who is responsible for an individual patient's care.

Learning From Practice Through Diagnostic Calibration

Diagnostic reasoning involves more than identifying which diagnosis is most likely. Clinicians also need to judge how confident they should be in that conclusion.

A clinician may reach the correct diagnosis while appropriately acknowledging uncertainty. Another may express considerable confidence even when the available evidence provides only limited support.

Diagnostic calibration concerns the relationship between diagnostic confidence and actual accuracy.

Good calibration does not mean being highly confident in every decision. It involves recognizing when confidence is justified and when important uncertainty remains.

AHRQ developed Calibrate Dx: A Resource To Improve Diagnostic Decisions to help healthcare professionals examine and reflect on their diagnostic performance.

Originally published in September 2022 and reviewed in March 2023, the resource provides a structured approach to selecting cases, considering the reasoning behind decisions, discussing findings with colleagues, and identifying opportunities for professional improvement.

Calibrate Dx is primarily designed for individual licensed clinicians, although educators, clinical leaders, and quality and patient safety personnel may also find its approach useful.

A clinician using the resource may select cases relevant to a particular area of practice, examine the information available at the time, review subsequent findings, and seek feedback from a trusted colleague.

The exercise may help identify situations in which confidence was appropriate, uncertainty was insufficiently recognized, or alternative explanations deserved additional consideration.

However, diagnostic calibration should not be confused with formal competency assessment.

A small number of selected cases cannot establish a clinician's overall diagnostic accuracy. Case selection may introduce bias, documentation may be incomplete, and some outcomes remain uncertain.

Calibrate Dx should therefore be understood as a professional learning resource rather than a validated instrument for ranking clinicians, certifying diagnostic competence, or determining negligence.

AHRQ's Implementing Diagnostic Excellence Across Systems (IDEAS) initiative is evaluating the implementation of Calibrate Dx and other diagnostic safety resources.

For Calibrate Dx, the implementation phase was scheduled through July 2026, with sustainability activities continuing through July 2027.

These activities demonstrate increasing attention to structured feedback and professional reflection, but they do not establish that routine use of the resource will necessarily reduce diagnostic errors in every healthcare setting.

For organizations considering similar activities in Viet Nam, confidentiality, appropriate professional participation, constructive feedback, and clearly defined responsibilities are important.

Reflective learning should support improvement while remaining distinct from formal professional assessment and mandatory legal processes.

Education and Feedback Should Reflect Clinical Practice

Education is essential to developing and maintaining diagnostic reasoning skills.

Healthcare professionals need opportunities to update clinical knowledge, understand the limitations of diagnostic investigations, and improve their ability to interpret complex information.

However, educational interventions vary in purpose and effectiveness.

A lecture on cognitive biases may improve awareness without necessarily changing diagnostic behavior in routine practice.

Case-based learning, simulation, guided reflection, and structured feedback may offer opportunities to examine decisions more closely.

Some studies have reported improvements in diagnostic performance following reflective reasoning interventions, particularly in educational or simulated settings.

Nevertheless, improvement in a clinical vignette or training exercise should not automatically be interpreted as evidence of fewer diagnostic errors or better patient outcomes.

Healthcare organizations should therefore connect education to identifiable clinical needs.

A professional development activity may be more meaningful when participants can examine relevant cases, discuss uncertainty, and consider how both clinical reasoning and working conditions influenced the decisions made.

Feedback is particularly important because healthcare professionals do not always learn what happened after an earlier assessment, especially when patients continue care at another organization.

This can limit opportunities to compare initial judgments with subsequent information.

Appropriate feedback arrangements may help clinicians recognize patterns in their own practice and identify opportunities for further learning.

However, access to such information depends on legal responsibilities, information-sharing arrangements, and the availability of relevant records.

The objective is not to retrospectively judge every decision. It is to create opportunities for professional learning that might otherwise be missed.

Education and feedback are most useful when supported by suitable clinical resources, teamwork, and an environment that encourages thoughtful improvement.

Avoiding Unsupported Assumptions About Patients

Diagnostic reasoning may also be influenced by assumptions about the person receiving care.

Patient characteristics such as age, sex, disability, communication style, socioeconomic circumstances, and previous medical history can affect how symptoms are interpreted.

Some characteristics are clinically relevant to estimating disease likelihood or selecting appropriate investigations. Others may contribute to unsupported assumptions when they are given greater weight than the evidence justifies.

The distinction requires careful professional judgment.

For example, a clinician may unintentionally interpret a patient's confident communication as evidence that the clinical history is complete. Another patient who struggles to describe symptoms may require additional communication support to ensure that relevant information is obtained.

An existing diagnosis may also influence how new symptoms are interpreted. In some circumstances, clinicians need to consider whether the established condition adequately explains the current presentation.

These examples do not mean that every difference in clinical assessment reflects discrimination or cognitive bias.

Such conclusions require appropriate evidence and consideration of the circumstances.

Nevertheless, healthcare organizations should recognize that communication barriers, unsupported assumptions, and unequal access to services can influence diagnostic experiences.

The CDC's 2026 framework includes education about cognitive and implicit biases, including circumstances in which patient characteristics or coexisting conditions may influence diagnostic judgments.

For Viet Nam, the broader principle is relevant across different healthcare settings and patient populations.

Improvement efforts should support the appropriate evaluation of clinical information while ensuring that patients with communication difficulties or other barriers have reasonable opportunities to be assessed.

Where organizations examine differences in diagnostic care among patient groups, they should interpret the findings carefully, considering clinical need, case complexity, data limitations, and alternative explanations.

Such activities must also comply with applicable confidentiality and personal data protection requirements.

The objective is to support fair, evidence-informed diagnostic decisions rather than make unsupported judgments about individual clinicians or patients.

Digital Decision Support Should Complement Professional Judgment

Digital resources can help healthcare professionals access clinical knowledge, review relevant information, and consider diagnostic possibilities.

Clinical reference systems, electronic decision-support tools, and other technologies may be useful when information is complex or time is limited.

However, technology should not be treated as a substitute for professional reasoning.

A system may provide incomplete information, produce recommendations that are poorly matched to a patient's circumstances, or present findings without clearly explaining their limitations.

Excessive notifications and poorly integrated software may also increase cognitive workload.

Healthcare organizations should consider whether a tool addresses an actual clinical need, whether its information is sufficiently reliable for the intended purpose, and how its outputs will be interpreted by appropriately qualified professionals.

Automated or AI-assisted recommendations introduce additional considerations, including incorrect suggestions, inappropriate confidence in system outputs, and the possibility that relevant clinical information has not been adequately considered.

Conversely, useful information may be overlooked if a tool is difficult to use or poorly integrated into clinical practice.

These issues require appropriate evaluation and professional oversight.

For Diagnostic Excellence Vietnam, the principal concern is how decision-support resources affect diagnostic reasoning, clinical judgment, and patient safety.

Detailed governance of healthcare AI, including model validation, monitoring, and implementation, is a distinct field requiring specialized consideration.

The general principle is that technology should make relevant information more accessible and support appropriate clinical decisions without creating unjustified certainty or new operational risks.

Practical Implementation in Viet Nam

Healthcare organizations in Viet Nam differ substantially in their workforce, diagnostic capabilities, information systems, and access to specialist expertise.

These differences influence which approaches to supporting diagnostic reasoning are feasible and appropriate.

A large tertiary hospital may have established arrangements for multidisciplinary case discussions, specialist consultations, structured education, and access to electronic reference resources.

A smaller hospital or outpatient facility may need simpler approaches, such as regular professional discussions, access to relevant clinical guidelines, and practical arrangements for seeking specialist advice when appropriate.

The same intervention will not necessarily benefit every setting.

A useful starting point is to understand where healthcare professionals experience important diagnostic uncertainty or lack sufficient support.

An organization may find that clinicians have limited opportunities to discuss difficult cases. Another may recognize that essential information is scattered across several systems. A third may identify gaps in professional feedback or access to current reference materials.

These circumstances call for different responses.

Where access to expertise is limited, improving consultation arrangements may be more useful than introducing a checklist.

Where information is difficult to retrieve, improving its organization may be more appropriate than relying primarily on cognitive bias education.

Where clinicians have few opportunities to reflect on decisions, selected case discussions or structured professional feedback may provide a reasonable starting point.

The intervention should follow from the identified need rather than from an assumption that all healthcare professionals require the same reasoning tool.

Implementation should also consider workload and available resources.

An activity that requires extensive documentation or adds delays without clear benefit may be difficult to sustain.

Healthcare organizations may consider testing a proposed approach on a manageable scale before expanding it.

The subsequent review should examine whether the support is being used as intended, whether it addresses the original concern, and whether unexpected difficulties have emerged.

The aim is to strengthen clinical reasoning through practical organizational support rather than increase administrative activity without demonstrated value.

Evaluating Improvement Without Overstating the Evidence

Healthcare organizations need to understand whether interventions intended to support diagnostic reasoning are achieving their objectives.

However, their effects can be difficult to measure.

The number of clinicians attending a training session, completing a checklist, or participating in a case discussion may show that an activity has occurred. It does not necessarily demonstrate improved diagnostic accuracy.

Greater awareness of cognitive biases also does not automatically establish that diagnostic errors have decreased.

During early implementation, an organization may examine whether professionals can access the intended resources, whether activities are feasible, and whether participants consider them relevant to clinical practice.

More specific evaluation may assess performance on defined reasoning tasks, the quality of professional feedback, or the appropriateness of selected clinical decisions.

The interpretation of these findings should reflect the methods used.

Improved performance in simulated cases cannot automatically be generalized to real patient outcomes. Similarly, changes in clinician confidence should not be treated as equivalent to changes in diagnostic accuracy.

Determining whether an intervention reduces diagnostic error or patient harm generally requires a stronger evaluation design and sufficiently reliable outcome information.

Unintended consequences also deserve attention.

An intervention encouraging greater reconsideration may increase unnecessary testing or referrals. A structured tool may improve performance in one task while creating additional workload elsewhere.

These potential effects should be considered alongside intended benefits.

The available evidence supports continued research and careful evaluation of diagnostic reasoning interventions. It does not justify presenting cognitive bias training, diagnostic time-outs, or general reasoning checklists as universally proven solutions.

The purpose of evaluation is to understand what works, under which circumstances, and with what limitations.

Legal, Ethical, and Professional Considerations in Viet Nam

Efforts to support diagnostic reasoning must operate within the legal and professional framework governing healthcare services in Viet Nam.

The Law on Medical Examination and Treatment No. 15/2023/QH15 establishes relevant provisions concerning professional practice, patient rights, healthcare facility responsibilities, quality management, and medical incident prevention.

The Law should be considered together with applicable amendments, including those reflected in Consolidated Document No. 26/VBHN-VPQH, issued by the Office of the National Assembly on February 26, 2026.

Article 44 addresses healthcare practitioners' obligations toward patients, including timely and appropriate care, respect for patient rights, provision of relevant information, and equitable treatment without allowing personal interests or discrimination to influence professional decisions.

Article 45 addresses obligations toward the profession, including compliance with professional and technical requirements, responsibility for one's practice, continuous medical knowledge updates, and confidentiality.

Article 60 establishes responsibilities of healthcare facilities concerning their operations, professional requirements, and the conditions necessary for healthcare professionals to perform their duties.

Article 71 addresses the prevention of medical incidents through identification, reporting, analysis of causes, and recommendations and measures intended to prevent recurrence.

These provisions provide a legal context for professional learning, organizational quality improvement, and patient safety.

However, they should not be interpreted as establishing a specific obligation for every healthcare organization to use Calibrate Dx, implement diagnostic time-outs, or conduct a particular cognitive bias training program.

These are international professional resources and potential improvement approaches, not mandatory Vietnamese clinical reasoning protocols.

Decree No. 96/2023/ND-CP provides further requirements concerning professional practice and healthcare facility operations, subject to applicable amendments and related regulations.

For hospitals, Circular No. 19/2013/TT-BYT provides an additional framework for quality management and continuous improvement.

Any proposed intervention should remain consistent with the facility's authorized professional scope, institutional responsibilities, and applicable technical requirements.

An important distinction must also be maintained between professional reflection and formal determinations of error or liability.

Identifying a possible cognitive bias during a case discussion does not automatically establish that a healthcare professional committed a legally recognized professional or technical error.

Likewise, an unexpected diagnostic outcome does not necessarily demonstrate negligence, incompetence, or failure to comply with professional standards.

Such determinations require appropriate examination of the relevant facts, professional requirements, and legally prescribed procedures.

International tools such as Calibrate Dx should not be presented as substitutes for formal professional assessments or legal processes.

Healthcare organizations should also distinguish internal learning activities from mandatory medical incident reporting, complaint resolution, and other legally required processes.

Where a reporting or assessment obligation applies, an internal reflective exercise cannot replace it.

The handling of clinical information requires particular care.

Case discussions, professional feedback, and educational activities may involve identifiable medical records, sensitive patient information, and information concerning healthcare professionals.

Viet Nam's Law on Personal Data Protection No. 91/2025/QH15 and Decree No. 356/2025/ND-CP, both effective January 1, 2026, form part of the applicable legal framework governing personal data processing, including health-related information.

Healthcare organizations using patient-level information for education, quality improvement, professional feedback, or research should assess the legal basis and purposes of processing, authorized access, security safeguards, retention requirements, and other applicable obligations.

Using aggregated or appropriately de-identified information may reduce privacy risks, but it does not automatically eliminate legal obligations where individuals remain identifiable or re-identification is reasonably possible.

Additional ethical or regulatory requirements may apply when activities constitute research or involve external data sharing or publication.

A supportive learning environment should not be interpreted as providing automatic legal protection for internal review materials or removing professional accountability.

The purpose of diagnostic reasoning support is to strengthen appropriate clinical judgment and patient safety within the framework of lawful professional practice.

Supporting Better Reasoning Through Safer Systems

Diagnostic reasoning is an essential clinical capability, but it does not occur independently of the healthcare environment.

Experience, professional knowledge, and pattern recognition help clinicians make decisions efficiently. At the same time, uncertainty, cognitive biases, workload, incomplete information, and limited access to expertise can influence how decisions are made.

Recognizing these influences does not mean that every diagnostic problem results from cognitive bias or could have been prevented through additional training.

A more useful approach is to examine how healthcare organizations can support professional reasoning under realistic clinical conditions.

This may involve improving access to relevant knowledge, strengthening professional consultation, reducing avoidable cognitive burden, and creating opportunities for reflection when the clinical situation warrants reconsideration.

The international evidence available in 2026 provides a foundation for this work, although important uncertainties remain.

The CDC's Core Elements of Hospital Diagnostic Excellence recognizes clinical reasoning, diagnostic uncertainty, cognitive bias awareness, and reflective practice as relevant areas for education and system improvement.

AHRQ's Calibrate Dx provides a structured resource for professional reflection, while its research on cognitive load highlights the importance of understanding human information processing within healthcare work systems.

These approaches should be adapted to the clinical and organizational circumstances in which they are used and evaluated without assuming that their effects will be identical across different settings.

For healthcare organizations in Viet Nam, improvement may begin by identifying where clinicians need better information, more accessible expertise, or appropriate opportunities to revisit difficult diagnostic questions.

Supporting diagnostic reasoning is not simply about asking clinicians to think harder or avoid mistakes. It is about creating conditions in which sound clinical judgment, appropriate uncertainty, professional collaboration, and timely reconsideration can be supported in everyday practice.

A safer diagnostic system recognizes both the strengths and limitations of human reasoning while maintaining clear professional responsibility for clinical decisions.

Strengthening that system is an important part of advancing diagnostic quality, safety, and reliability in Viet Nam.

Evidence and Policy Context

This article draws on established international evidence and professional guidance, including the National Academies of Sciences, Engineering, and Medicine's Improving Diagnosis in Health Care (2015); the World Health Organization's World Patient Safety Day 2024 materials on improving diagnosis for patient safety; and the U.S. Centers for Disease Control and Prevention's Core Elements of Hospital Diagnostic Excellence (2026).

The discussion also considers the Agency for Healthcare Research and Quality's Calibrate Dx: A Resource To Improve Diagnostic Decisions (2022, reviewed 2023); Cognitive Load Theory and Its Impact on Diagnostic Accuracy (2024); and Evidence on Use of Clinical Reasoning Checklists for Diagnostic Error Reduction (2020).

These resources offer different perspectives on diagnostic reasoning, clinical uncertainty, cognitive load, structured reflection, professional education, and system-level support. The supporting evidence varies in strength, and many interventions have been evaluated through educational studies, simulated clinical cases, or selected reasoning tasks rather than through direct measurement of diagnostic errors and patient harm in routine practice.

AHRQ's Implementing Diagnostic Excellence Across Systems initiative is also relevant as an ongoing effort to evaluate the implementation and sustainability of diagnostic safety resources, including Calibrate Dx.

The Vietnamese legal context includes the Law on Medical Examination and Treatment No. 15/2023/QH15, as amended and reflected in Consolidated Document No. 26/VBHN-VPQH (2026); Decree No. 96/2023/ND-CP, as applicable; Circular No. 19/2013/TT-BYT on hospital quality management; the Law on Personal Data Protection No. 91/2025/QH15; and Decree No. 356/2025/ND-CP.

International diagnostic reasoning resources are presented as evidence-informed approaches to professional education and systems-based quality improvement. They should not be interpreted as mandatory Vietnamese clinical protocols, validated instruments for determining individual professional competence or legal liability, or substitutes for applicable laws and professional standards.

Professional Scope and Disclaimer

This article is published by Diagnostic Excellence Vietnam (DxEx.vn) for professional education, knowledge-sharing, and general information. It examines diagnostic reasoning from the perspectives of healthcare quality, patient safety, clinical uncertainty, cognitive and human factors, professional learning, and systems-based improvement.

The content does not constitute individualized medical advice, clinical diagnosis, treatment recommendations, legal advice, an assessment of an individual healthcare professional's competence, or a legally binding interpretation of Vietnamese regulations. Diagnostic Excellence Vietnam (DxEx.vn) is not a healthcare provider, regulatory authority, or accreditation or certification body.

Clinical decisions, professional education, case reflection, quality improvement activities, medical incident reporting, personal data processing, and organizational implementation remain subject to applicable Vietnamese laws, professional standards, institutional responsibilities, and the judgment of appropriately qualified healthcare professionals and authorized healthcare organizations.