A Pilot Longitudinal Clinical Reasoning Curriculum for Pediatric Residents.

Introduction: Clinical reasoning (CR) is required for physicians. Pediatric residents often gain CR skills through experiential learning. Currently, deliberate education on CR targeted toward pediatric residents is inconsistent. Our objective was to implement a pilot CR curriculum, including five hour-long sessions, and evaluate its impact on self-identified CR Milestones and comfort with CR skills. Methods: We used Kern's six steps for curriculum development to develop our curriculum. Five morning report sessions included didactics and small-group activities. Pre/post surveys assessed resident self-identified level on ACGME Milestones related to CR skills (Patient Care 4 [PC4] and Medical Knowledge 2 [MK2]) and comfort with CR skills. The postsurvey assessed resident attitudes toward the sessions. Paired samples for Milestone and comfort-based questions were analyzed using Wilcoxon signed rank tests. Attitude questions were reported with descriptive statistics. Results: Each of the five curricular sessions was attended by 40-50 pediatric residents. Seventy-one trainees (58% of residency) and 51 trainees (42% of residency) completed the pre- and postsurveys, respectively, with 20 paired samples. Self-assessment of PC4 (p = .006) and resident comfort with all measured CR skills increased significantly. Of trainees who attended at least one session (n = 44), most reported finding the sessions helpful (97%), relevant to their clinical work (97%), and impactful on their clinical practice (73%). Discussion: Following exposure to this CR curriculum, pediatric residents reported increased self-identified competency levels on the evaluated Milestones and improved comfort with CR skills. Dedicated CR education may advance pediatric resident understanding of and comfort with CR.

Evaluating the effectiveness of illness script teaching on clinical reasoning skills in post-baccalaureate nursing students.

BACKGROUND: Typically, nurse education curricula are separated into the teaching of theoretical knowledge and practical skills. This separation may hinder nursing students' development of clinical reasoning skills, making it difficult for them to prioritize tasks and make decisions about interventions. Illness scripts have been shown to help medical students improve their clinical reasoning skills; however, they are rarely used in nurse education. OBJECTIVES: To evaluate the influence of illness script teaching method on post-baccalaureate nursing students' clinical reasoning skills. DESIGN: The study adopted a single-arm quantitative pre-experimental research design and incorporated qualitative focus group discussions. SETTINGS/PARTICIPANTS: This study was conducted at a university in northern Taiwan. Participants included 35 post-baccalaureate nursing students who were enrolled in an elective course focused on clinical skills. METHODS: To enhance nursing students' clinical reasoning skills, illness scripts for five clinical scenarios were developed and implemented as part of their curriculum. The Nurses Clinical Reasoning Scale was utilized to assess self-rated clinical reasoning abilities, while dual-teacher scoring was used to evaluate clinical reasoning objectively. The VARK learning preference questionnaire was used to examine how learning preferences affect learning outcomes. After the course, semi-structured focus groups were held to collect student feedback on the effectiveness of the teaching methods and the learning outcomes. RESULTS: This study's quantitative and qualitative results show that illness script-based teaching improves nursing students' clinical reasoning. Quantitative results showed significant objective reasoning score improvements. However, minimal changes in self-rated scores suggest a learning style-influenced gap between perceived and actual abilities. Qualitative findings showed that students valued linking clinical issues to practical applications but struggled with knowledge gaps and engagement. CONCLUSIONS: The illness script teaching method improved students' understanding of clinical scenarios and enhanced their clinical reasoning abilities. Incorporating illness scripts into nurse education was beneficial for nursing students.

Exploring the responses of preclinical medical students and professors to flipped learning for the development of clinical reasoning.

PURPOSE: This study developed and implemented case-based flipped learning using illness script worksheets and investigated the responses of preclinical students and professors to the intervention in terms of its effectiveness, design, and implementation. METHODS: The study was conducted at a medical school in Korea, where the "clinical reasoning method" course, originally a lecture-oriented course, was redesigned into a flipped learning. In total, 42 second-year medical students and 15 professors participated in this course. After the class, online surveys were conducted, and a focus group interview was held with seven students to explore the students' experiences in more detail. RESULTS: In total, 37 students and seven professors participated in the survey. The mean score for all items is 3.12/4 for the student survey and 3.43/4 for the professor survey. The focus group interview results were categorized as the beneficial aspects and challenges for the development of clinical reasoning. CONCLUSION: The findings indicated that their responses to the intervention were generally positive, and it is thought to be an effective instructional method for fostering clinical reasoning skills in preclinical medical students.

Fostering clinical reasoning ability in preclinical students through an illness script worksheet approach in flipped learning: a quasi-experimental study.

BACKGROUND: The consensus that clinical reasoning should be explicitly addressed throughout medical training is increasing; however, studies on specific teaching methods, particularly, for preclinical students, are lacking. This study investigated the effects of an illness script worksheet approach in flipped learning on the development of clinical reasoning abilities in preclinical students. It also explored whether the impact of this intervention differed depending on clinical reasoning ability after dividing the students into high and low groups based on their pre-diagnostic thinking inventory (DTI) scores. METHODS: This study used a one-group pre-post test design and convenience sampling. Forty-two second-year medical students were invited to participate in this study. The course, "clinical reasoning method," was redesigned as an illness script worksheet approach in flipped learning. The course was an eight-week long program. The students met once or twice per week with a different professor each time and engaged with 15 clinical cases in small groups in one classroom. Each time, one professor facilitated seven groups in a single classroom. The effectiveness of the intervention was measured using DTI before and after the intervention. A learning experience survey was conducted with post-DTI assessment. RESULTS: Thirty-six students participated in the survey and their data were analyzed. The mean pre-DTI score was 170.4, and the mean post-DTI score was 185.2, indicating an 8.68% increase (p < .001). Significant differences were also found in both high and low groups between the pre- and post-DTI assessments. However, the low group improved much more than the high group and exhibited a significant increase in one of the DTI subscales as well. The overall average score on the learning experience survey was 3.11 out of 4. CONCLUSION: The findings indicated that the intervention was an effective instructional method for the development of clinical reasoning in preclinical students and was more beneficial for students with a low level of clinical reasoning ability. This study demonstrated that the intervention can be a feasible and scalable method to effectively and efficiently train clinical reasoning in preclinical students in a classroom.

Expert assessment of ChatGPT's ability to generate illness scripts: an evaluative study.

BACKGROUND: An illness script is a specific script format geared to represent patient-oriented clinical knowledge organized around enabling conditions, faults (i.e., pathophysiological process), and consequences. Generative artificial intelligence (AI) stands out as an educational aid in continuing medical education. The effortless creation of a typical illness script by generative AI could help the comprehension of key features of diseases and increase diagnostic accuracy. No systematic summary of specific examples of illness scripts has been reported since illness scripts are unique to each physician. OBJECTIVE: This study investigated whether generative AI can generate illness scripts. METHODS: We utilized ChatGPT-4, a generative AI, to create illness scripts for 184 diseases based on the diseases and conditions integral to the National Model Core Curriculum in Japan for undergraduate medical education (2022 revised edition) and primary care specialist training in Japan. Three physicians applied a three-tier grading scale: "A" denotes that the content of each disease's illness script proves sufficient for training medical students, "B" denotes that it is partially lacking but acceptable, and "C" denotes that it is deficient in multiple respects. RESULTS: By leveraging ChatGPT-4, we successfully generated each component of the illness script for 184 diseases without any omission. The illness scripts received "A," "B," and "C" ratings of 56.0% (103/184), 28.3% (52/184), and 15.8% (29/184), respectively. CONCLUSION: Useful illness scripts were seamlessly and instantaneously created using ChatGPT-4 by employing prompts appropriate for medical students. The technology-driven illness script is a valuable tool for introducing medical students to key features of diseases.

Cognitive Bias in the Patient Encounter: Part II. Debiasing using an adaptive toolbox.

Cognitive bias may lead to medical error, and awareness of cognitive pitfalls is a potential first step to addressing the negative consequences of cognitive bias (see Part 1). For decision-making processes that occur under uncertainty, which encompass most physician decisions, a so-called "adaptive toolbox" is beneficial for good decisions. The adaptive toolbox is inclusive of broad strategies like cultural humility, emotional intelligence, and self-care that help combat implicit bias, negative consequences of affective bias, and optimize cognition. Additionally, the adaptive toolbox includes situational-specific tools such as heuristics, narratives, cognitive forcing functions, and fast and frugal trees. Such tools may mitigate against errors due to cultural, affective, and cognitive bias. Part 2 of this two-part series covers metacognition and cognitive bias in relation to broad and specific strategies aimed at better decision-making.

Clinical reasoning in emergency medical technicians and its compliance with the illness script theory: A pilot study.

BACKGROUND: Emergency medical technicians (EMTs) play a pivotal role in the management and treatment chain of emergency patients and their health outcomes. Knowing the clinical reasoning pattern in prehospital procedures is of particular importance that can help to develop a correct clinical decision-making process in this group. Therefore, this study aimed to clarify the clinical reasoning in EMTs and evaluate its compliance with the "illness script" theory. MATERIALS AND METHODS: This descriptive-analytical study was conducted in 2021 at Hormozgan University of Medical Sciences (HUMS) by involving EMTs in two groups of experts and novices. To collect and analyze participants' mental script-based information, the "think aloud" method was used. In the content analysis of extracted protocols, two main steps were considered: 1) preparing a suitable map to compare the protocol with the base pattern and 2) quantifying the relationship between the protocol and the base pattern. Statistical Package for the Social Sciences (SPSS)-21 software, the Shapiro-Wilk test, and the independent t-test were used for analyzing quantitative data. RESULTS: After exploring the concordance of the clinical reasoning of EMTs with the base pattern, results showed that the components of Enabling condition and Management were consistent with the illness script strategy. Pathophysiology and Diagnosis components did not conform to the base pattern. Regarding Signs and Symptoms, these were significantly different from the classic pattern of illness script. A new component called Contextual insight was suggested for this pattern. Generally, on comparing the clinical script content of experts and novices, only two components of Pathophysiology and Diagnosis did not show any significant difference (P > 0.05) between these two groups. CONCLUSION: Results of evaluating the clinical reasoning of the under-study groups showed that in some components of the pattern, they practiced as in other medical groups, but in relation to some components, this was not the case. It is due to the different nature of the prehospital conditions. Also, there is a need to add new components to the base model, which should be considered in distinguishing between expert and novice EMTs.

An integrated pre-clerkship curriculum to build cognitive medical schema: It's not just about the content.

Both physiology and pathophysiology are essential disciplines in health professional education however, clinicians do not use this knowledge in isolation. Instead, physicians use inter-disciplinary concepts embedded within integrated cognitive schema (illness scripts) established through experience/knowledge that manifest as expert-level thinking. Our goal was to develop a pre-clerkship curriculum devoid of disciplinary boundaries (akin to the physician's illness script) and enhance learners' clerkship and early clinical performance. As well as developing curricular content, the model considered non-content design elements such as learner characteristics and values, faculty and resources and the impact of curricular and pedagogical changes. The goals of the trans-disciplinary integration were to develop deep learning behaviors through, 1) developing of integrated, cognitive schema to support the transition to expert-level thinking, 2) authentic, contextualization to promote knowledge transfer to the clinical realm 3) allowing autonomous, independent learning, and 4) harnessing the benefits of social learning. The final curricular model was a case-based approach with independent learning of basic concepts, differential diagnosis and illness scripting writing, and concept mapping. Small-group classroom sessions were team-taught with basic scientists and physicians facilitating learners' self-reflection and development of clinical reasoning. Specifications grading was used to assess the products (written illness scripts and concept maps) as well as process (group dynamics) while allowing a greater degree of learner autonomy. Although the model we adopted could be transferred to other program settings, we suggest it is critical to consider both content and non-content elements that are specific to the environment and learner.

How Medical Students Apply Their Biomedical Science Knowledge to Patient Care in the Family Medicine Clerkship.

Medical students enter clerkships with the requisite biomedical science knowledge to engage in supervised patient care. While poised to apply this knowledge, students face the cognitive challenge of transfer: applying knowledge learned in one context (i.e., preclinical classroom) to solve problems in a different context (i.e., patients in the clinic). To help students navigate this challenge, a structured reflection exercise was developed using Kolb's experiential learning cycle as an organizing framework. Students selected a patient encounter (concrete experience), wrote and addressed biomedical science learning objectives related to the care of the patient (reflective observation), reflected on how addressing the learning objectives influenced patient care (abstract conceptualization), and described their attending engaging in a similar process (active experimentation). A directed content analysis of students' written reflections revealed that most students wrote clinical science learning objectives in addition to biomedical science learning objectives. When viewed through the lenses of knowledge encapsulation theory and illness script theory, some students recognized knowledge encapsulation as a process beginning to occur in their own approach and their attendings' approach to clinical reasoning. Students readily applied their biomedical science knowledge to explain the pathophysiologic basis of disease (fault illness script domain) and signs and symptoms (consequence illness script domain), with fewer addressing predisposing conditions (enabling conditions illness script domain). Instances in which students observed their attending applying biomedical science knowledge were rare. Implications for using structured reflective writing as a tool to facilitate student application of their biomedical science knowledge in clerkships are discussed. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-022-01697-5.

Strategies for developing pre-clinical medical students' clinical reasoning based on illness script formation: a systematic review.

Clinical reasoning training in the pre-clinical phase has recently been considered important; however, when it comes to specific instructional methods for pre-clinical students, much is unknown. Thus, the aim of this review is to explore learning and teaching methods for pre-clinical students' clinical reasoning development based on illness script formation, their results, and strategies. A systematic review was conducted in accordance with the guidelines of the Association for Medical Education in Europe. The literature search was performed using the Cochrane Library, PubMed, EMBASE, Web of Science, and ERIC databases based on keywords, including "illness script*" AND ("medical student*" OR pre-clinical OR undergraduate). Then, 10 studies among the 91 studies were included in the final analysis. The quality of the selected studies was also appraised using the Medical Education Research Study Quality Instrument. Diverse teaching and learning methods were used to support the integration of biomedical and clinical knowledge working with patient cases, and their effects were assessed through diverse methods, including illness script richness and maturity, to learner responses. The effects of these interventions were effective in terms of the clinical reasoning development of pre-clinical students. Learning and teaching strategies were synthesized and described. This review found that explicit attempts to promote illness script formation with a structured program rather than informal training lead to positive results, and such formal clinical reasoning programs can provide smooth transition from pre-clinical to clinical experience.

Lessons in clinical reasoning ‒ pitfalls, myths and pearls: a case of recurrent pancreatitis.

OBJECTIVES: Cognitive biases can result in clinical reasoning failures that can lead to diagnostic errors. Autobrewery syndrome is a rare, but likely underdiagnosed, condition in which gut flora ferment glucose, producing ethanol. It most frequently presents with unexplained episodes of inebriation, though more case studies are necessary to better characterize the syndrome. CASE PRESENTATION: This is a case of a 41-year old male with a past medical history notable only for frequent sinus infections, who presented with recurrent episodes of acute pancreatitis. In the week prior to his first episode of pancreatitis, he consumed four beers, an increase from his baseline of 1-2 drinks per month. At home, he had several episodes of confusion, which he attributed to fatigue. He underwent laparoscopic cholecystectomy and testing for genetic and autoimmune causes of pancreatitis, which were non-revealing. He was hospitalized 10 more times during that 9-month period for acute pancreatitis with elevated transaminases. During these admissions, he had elevated triglycerides requiring an insulin drip and elevated alcohol level despite abstaining from alcohol for the prior eight months. His alcohol level increased after consumption of complex carbohydrates, confirming the diagnosis of autobrewery syndrome. CONCLUSIONS: Through integrated commentary on the diagnostic reasoning process, this case underscores how overconfidence can lead to premature closure and anchoring resulting in diagnostic error. Using a metacognitive overview, case discussants describe the importance of structured reflection and a standardized approach to early hypothesis generation to navigate these cognitive biases.

Relationship between web-based illness scripts and the performance of medical students in orthopedic surgery placements.

OBJECTIVES: We aimed to explore the relationship between web-based orthopedic illness scripts and medical students' performance as assessed through examination results. METHODS: This was a retrospective cohort study with 83 fifth-year medical students in an academic hospital. During a one-month placement, they were instructed to do web-based illness scripts. Their performances were assessed by examination in the last week. All recorded data about illness scripts and examination results were retrieved. The students were separated into high and low response groups based on completed illness scripts. The characteristics of the students between the two groups were compared. Pearson correlation coefficients and regression analysis were used to identify the relationship between illness scripts and examination results. RESULTS: There were 56 students in the high-response and 27 in the low-response groups. The characteristics and examination scores were not significantly different between the groups, while there was a significant difference in script completion (t(27)=13.72, p<0.001). Using Pearson correlation, we found weak correlations without significance between completed scripts, illness script scores, and examination scores. We found no relationship between illness script scores and examination scores, even in the high response group, by regression analysis. CONCLUSIONS: The use of web-based orthopedic illness scripts did not correlate to the examination performance of medical students. A high number of scripts without variety and limited time for practicing may have obscured potential positive relationships. Illness scripts should be adjusted as appropriate for each school before being assigned. A further multi-center, prospective study is suggested to identify the correlations and investigate the influencing factors.

Hickam's dictum, Occam's razor, and Crabtree's bludgeon: a case of renal failure and a clavicular mass.

OBJECTIVES: Our discussant's thoughtful consideration of the patient's case allows for review of three maxims of medicine: Occam's razor (the simplest diagnosis is the most likely to be correct), Hickam's dictum (multiple disease entities are more likely than one), and Crabtree's bludgeon (the tendency to make data fit to an explanation we hold dear). CASE PRESENTATION: A 66-year-old woman with a history of hypertension presented to our hospital one day after arrival to the United States from Guinea with chronic daily vomiting, unintentional weight loss and progressive shoulder pain. Her labs are notable for renal failure, nephrotic range proteinuria and normocytic anemia while her shoulder X-ray shows osseous resorption in the lateral right clavicle. Multiple myeloma became the team's working diagnosis; however, a subsequent shoulder biopsy was consistent with follicular thyroid carcinoma. Imaging suggested the patient's renal failure was more likely a result of a chronic, unrelated process. CONCLUSIONS: It is tempting to bludgeon diagnostic possibilities into Occam's razor. Presumption that a patient's signs and symptoms are connected by one disease process often puts us at a cognitive advantage. However, atypical presentations, multiple disease processes, and unique populations often lend themselves more to Hickam's dictum than to Occam's razor. Diagnostic aids include performing a metacognitive checklist, engaging analytic thinking, and acknowledging the imperfections of these axioms.

Clinical Reasoning in Forensic Psychiatry: Concepts, Processes, and Pitfalls.

Forensic psychiatrists are often sought by the court of law to provide professional opinion on specific legal matters that have a major impact on the evaluee and possibly society at large. The quality of that opinion and recommendations rely on the quality of the analysis from the assessment results conducted by the psychiatrist. However, the definition and scope of a forensic psychiatric analysis is not clear. While existing literature on forensic psychiatric analysis generally includes organizing information, identifying relevant details, and formulating a set of forensic psychiatric opinions as components, there is no explicit and unified definition of these terms and process. This lack of clarity and guidelines may hinder forensic psychiatry from achieving its goal of providing objective information to the court or other relevant parties. Forensic psychiatric analysis exhibits numerous parallels to clinical reasoning in other fields of medicine. Therefore, this review aims to elaborate forensic psychiatric analysis through the lens of clinical reasoning, which has been developed by incorporating advances in cognitive sciences. We describe forensic psychiatric analysis through three prominent clinical reasoning theories: hypothetico-deductive model, illness script theory, and dual process theory. We expand those theories to elucidate how forensic psychiatrists use clinical reasoning not only to diagnose mental disorders, but also to determine mental capacities as requested by law. Cognitive biases are also described as potential threat to the accuracy of the assessment and analysis. Additionally, situated cognition theory helps elucidate how contextual factors influence risk of errors. Understanding the processes involved in forensic psychiatric analysis and their pitfalls can assist forensic psychiatrists to be aware of and try to mitigate their bias. Debiasing strategies that have been implemented in other fields of medicine to mitigate errors in clinical reasoning can be adapted for forensic psychiatry. This may also shape the training program of general psychiatrists and forensic psychiatrists alike.

Thinking Slow More Quickly: Development of Integrated Illness Scripts to Support Cognitively Integrated Learning and Improve Clinical Decision-Making.

Illness scripts describe the mental model used by experienced clinicians to store and recall condition-specific knowledge when making clinical decisions. Studies demonstrate that novice clinicians struggle to develop and apply strong illness scripts. We developed the Integrated Illness Script and Mechanism of Disease (IIS-MOD) map framework to address this challenge.

Teaching clinical reasoning to undergraduate medical students by illness script method: a randomized controlled trial.

BACKGROUND: The illness script method employs a theoretical outline (e.g., epidemiology, pathophysiology, signs and symptoms, diagnostic tests, interventions) to clarify how clinicians organized medical knowledge for clinical reasoning in the diagnosis domain. We hypothesized that an educational intervention based on the illness script method would improve medical students' clinical reasoning skills in the diagnosis domain. METHODS: This study is a randomized controlled trial involving 100 fourth-year medical students in Shiraz Medical School, Iran. Fifty students were randomized to the intervention group, who were taught clinical reasoning skills based on the illness script method for three diseases during one clinical scenario. Another 50 students were randomized to the control group, who were taught the clinical presentation based on signs and symptoms of the same three diseases as the intervention group. The outcomes of interest were learner satisfaction with the intervention and posttest scores on both an internally developed knowledge test and a Script Concordance Test (SCT). RESULTS: Of the hundred participating fourth-year medical students, 47 (47%) were male, and 53 (53%) were female. On the knowledge test, there was no difference in pretest scores between the intervention and control group, which suggested a similar baseline knowledge in both groups; however, posttest scores in the intervention group were (15.74 ± 2.47 out of 20) statistically significantly higher than the control group (14.38 ± 2.59 out of 20, P = 0.009). On the SCT, the mean score for the intervention group (6.12 ± 1.95 out of 10) was significantly higher than the control group (4.54 ± 1.56 out of 10; P = 0.0001). Learner satisfaction data indicated that the intervention was well-received by students. CONCLUSION: Teaching with the illness script method was an effective way to improve students' clinical reasoning skills in the diagnosis domain suggested by posttest and SCT scores for specific clinical scenarios. Whether this approach translates to improved generalized clinical reasoning skills in real clinical settings merits further study.

How to develop clinical reasoning in medical students and interns based on illness script theory: An experimental study.

Background: Although theory explains the development of illness script, it does not provide answers how medical students develop scripts in their learning. To fill the knowledge gap of developing illness script in medical students and interns, this study aimed to investigate the impact of educational strategies inspired by theory in the development of illness scripts. Methods: A total of 15 medical students and 12 interns participated in an educational intervention that included theory-driven strategies. To evaluate the impact of this intervention, clinical reasoning problem (CRP) and key features (KF) tests were used for before and after the intervention. In addition to descriptive statistics, the differences in participants' pretest and posttest variables were tested using Wilcoxon. Significance level was set at p≤0.05 for all tests. Results: Interns significantly recognized more KF in the posttest. However, no significant difference was found between the pretest and posttest scores in total diagnostic accuracy (5.41±1.16 vs 4.91±1.44; p=0.111) and total correct discriminating score (0.41±0.66 vs 1.41±2.06; p=0.146). Medical students produced less total key features in the posttest, indicating that they became less elaborate in their case processing. However, no significant difference was observed in common KF score (0.4 [0.25-0.78] vs 0.9 [0.6-1]; p=0.791) and discriminative key features score (0.33 [0.16-0.33] vs 0.22 [0.11-0.44]; p=0.972) in the posttest compared to the pretest. Conclusion: This study showed that theory-driven educational strategies have an impact on illness script development specifically in interns. It is recommended that this intervention would be tested on those in higher levels of expertise (ie, residents).

The diagnostic expertise acceleration module (DEAM): promoting the formation of organized knowledge.

Background: Ensuring that learners acquire diagnostic competence in a timely fashion is critical to providing high quality and safe patient care. Resident trainees typically gain experience by undertaking repetitive clinical encounters and receiving feedback from supervising faculty. By critically engaging with the diagnostic process, learners encapsulate medical knowledge into discrete memories that are able to be recollected and refined in subsequent clinical encounters. In the setting of exponentially increasing medical complexity and current duty hour limitations, the opportunities for successful practice in the clinical arena have become limited. Novel educational methods are needed to more efficiently bridge the gap from novice to expert diagnostician. Objective: Using a conceptual framework which incorporates deliberate practice, script theory, and learning curves, we developed an educational module prototype to coach novice learners to formulate organized knowledge (i.e. a repertoire of illness scripts) in an accelerated fashion thereby simulating the ideal experiential learning in a clinical rotation. Design: We developed the Diagnostic Expertise Acceleration Module (DEAM), a web-based module for learning illness scripts of diseases causing pediatric respiratory distress. For each case, the learner selects a diagnosis, receives structured feedback, and then creates an illness script with a subsequent expert script for comparison. Results: We validated the DEAM with seven experts, seven experienced learners and five novice learners. The module data generated meaningful learning curves of diagnostic accuracy. Case performance analysis and self-reported feedback demonstrated that the module improved a learner's ability to diagnose respiratory distress and create high-quality illness scripts. Conclusions: The DEAM allowed novice learners to engage in deliberate practice to diagnose clinical problems without a clinical encounter. The module generated learning curves to visually assess progress towards expertise. Learners acquired organized knowledge through formulation of a comprehensive list of illness scripts.

Lessons in clinical reasoning - pitfalls, myths, and pearls: a case of chest pain and shortness of breath.

Background Defects in human cognition commonly result in clinical reasoning failures that can lead to diagnostic errors. A metacognitive structured reflection on what clinical findings fit and/or do not fit with likely and "can't miss" diagnoses may reduce such errors. Case presentation A 57-year-old man was sent to the emergency department from clinic with chest pain, severe shortness of breath, weakness, and cold sweats. Further investigation revealed multiple risk factors for coronary artery disease, sudden onset of exertional dyspnea, and chest pain that incompletely resolved with rest, mild tachycardia and hypoxia, an abnormal electrocardiogram (ECG), elevated serum cardiac biomarkers, and elevated B-type natriuretic peptide (BNP) in the absence of left-sided heart failure. He was treated for acute coronary syndrome (ACS), discharged, and quickly returned with worsening symptoms that eventually led to a diagnosis of submassive pulmonary embolism (PE). Conclusions Through integrated commentary on the diagnostic reasoning process from clinical reasoning experts at two institutions, this case underscores the importance of frequent assessment of fit along with explicit explanation of dissonant features in order to avoid premature closure and diagnostic error. A fishbone diagram is provided to visually demonstrate the major factors that contributed to the diagnostic error. A case discussant describes the importance of diagnostic schema as an analytic reasoning strategy to assist in the creation of a differential diagnosis, problem representation to summarize updated findings, a Popperian analytic approach of attempting to falsify less-likely hypotheses, and matching pertinent positives and negatives to previously learned illness scripts. Finally, this case provides clinical teaching points in addition to a pitfall, myth, and pearl specific to premature closure.

How Expert Clinicians Intuitively Recognize a Medical Diagnosis.

Research has shown that expert clinicians make a medical diagnosis through a process of hypothesis generation and verification. Experts begin the diagnostic process by generating a list of diagnostic hypotheses using intuitive, nonanalytic reasoning. Analytic reasoning then allows the clinician to test and verify or reject each hypothesis, leading to a diagnostic conclusion. In this article, we focus on the initial step of hypothesis generation and review how expert clinicians use experiential knowledge to intuitively recognize a medical diagnosis.