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FOR MEDICAL SCHOOLS

Standardize clinical reasoning across pre-clinical and clinical education

Clinical exposure is uneven. Rotations are short. Preceptors vary. And true readiness is difficult to measure.

DDx helps medical schools deliver consistent, validated clinical reasoning training for every learner, from early didactic years through clerkships and sub-internships—without adding faculty burden.

Built by physicians and medical educators, DDx gives programs a scalable, engaging, accreditation-aligned pathway to build diagnostic reasoning and clinical readiness.

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How DDx helps Med programs

Expand and standardize case exposure across courses, sites, and preceptors
Deliver high-fidelity, multi-role simulations that mirror real life practice at scale
Evaluate clinical reasoning using validated, competency-based metrics
Identify at-risk learners early and enable targeted remediation

Consistent case exposure across rotations

When students see different cases, they develop different skills. DDx provides the most comprehensive library of faculty-designed, end-to-end clinical encounters, ensuring students encounter the breadth, depth, and variability they may miss in clinical rotations.

  • Expand early exposure for pre-clinical students with foundational cases that reinforce their knowledge base
  • Support diverse and non-traditional learners, or strengthen accelerated programs through flexible, self-paced practice
  • Broaden exposure to rare, atypical, or specialty-specific cases beyond what rotations typically provide
  • Scaffold case complexity from pre-clinical fundamentals to internship-level reasoning

High-fidelity clinical simulation

DDx recreates the full arc of an authentic clinical encounter — from history to management and disposition— mirroring what students must do on the wards and in OSCEs.

  • Supplement or replace OSCEs and SP encounters with scalable, high-fidelity DDx simulations when time, cost, or capacity is limited
  • Prepare learners for high-stakes, in-person assessments with realistic patients and preceptor interactions, differential building, and justification of diagnostic and management choices
  • Upgrade your simulation program with clinical realism at a fraction of standardized patients and simulation lab costs

Validated, competency-based assessment

DDx supports faculty with standardized, rubric-based reasoning assessment aligned to institutional competencies and accreditation standards.

  • Evaluate clinical reasoning and related competencies using our faculty-developed, rubric-based framework.
  • Track patterns and trends over time using case-based reasoning analytics at the individual and cohort-level.
  • Surface actionable data that enables earlier intervention and more effective feedback conversations.

Early identification and remediation

Clerkships move fast — and struggling students must be flagged early.

  • Detect performance gaps in test ordering, diagnostic reasoning, or management using case analytics.
  • Provide structured, competency-based feedback and targeted, case-based remediation that directly addresses specific reasoning issues.
  • Monitor improvement over time without increasing faculty workload.
Ready to experience how DDx can strengthen reasoning skills?
Start your free trial

Real impact for medical education

87%
of students report increased confidence after using DDx
80%
savings compared to SP and OSCE-equivalent simulations
Countless faculty hours saved through automated case development, delivery and assessment
100%
Unmatched insight into how students think, not just what they answer
“The platform allowed the students to engage deeply within the diagnosis process and practice reasoning in a structured and interactive format. They were really, really excited that day when we were using the tool for the first time.“
Dr. Nicole Rassi, MD, FACP
Associate Professor, University of Puerto Rico School of Medicine

The right clinical content for your curriculum

Pre-Clerkship
Clerkship
Endocrinology
Cardiology
Pulmonology
Gastroenterology
Neurology
List of cases
Sample application

Weight loss in a 19-year-old woman

Use this case in the endocrinology module to help students connect thyroid physiology to clinical patterns. They’ll learn to recognize hallmark features of hyperthyroidism, interpret thyroid labs, and differentiate Graves’ disease from other causes before entering the clinic.

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

Sample application

Weight loss in a 19-year-old woman

Use this case in the endocrinology module to help students connect thyroid physiology to clinical patterns. They’ll learn to recognize hallmark features of hyperthyroidism, interpret thyroid labs, and differentiate Graves’ disease from other causes before entering the clinic.

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

Endocrinology
Cardiology
List of cases
Sample application

Weight loss in a 19-year-old woman

Use this case in the endocrinology module to help students connect thyroid physiology to clinical patterns. They’ll learn to recognize hallmark features of hyperthyroidism, interpret thyroid labs, and differentiate Graves’ disease from other causes before entering the clinic.

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

Weight loss in a 19-year-old woman

How MD and DO programs are using DDx

DDx is designed for the realities of modern medical education — variable student preparation, limited faculty time, and inconsistent clinical exposure across clerkships.

  • Aligning DDx cases to build upon OSCEs, simulation curricula, and clerkship expectations, reinforcing the same reasoning framework across environments
  • Enhancing transition to residency curriculum and residency preparation through advanced clinical simulations and clinical skills modules
  • Tracking clinical reasoning development longitudinally, giving faculty objective insight into student progress, knowledge integration, and readiness for clerkships and residency
  • Providing a structured framework with automated, individualized, and actionable feedback to support struggling learners or learners on non-traditional curricular cycles

Prepare every student for clinical practice

DDx equips medical schools with scalable, realistic, clinical reasoning education — built by physicians, trusted by institutions, and aligned with medical training needs. Contact us to learn more.

Frequently asked questions

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Technology, integrations and security
Faculty experience and implementation

What data do you capture?

DDx collects specific user information to ensure proper access and track progress, including Student Performance Metrics, Interaction Logs, and Assessment scores.

How do you account for AI accuracy?

AI responses in DDx are based on expert-vetted information to ensure realistic and clinically accurate communication. Each case goes through multiple rounds of quality assurance (QA) conducted by faculty subject matter experts (SMEs) and the DDx content team (all MDs), as well as ongoing student testing. AI responses are also updated based on validated research and faculty feedback to ensure continued accuracy and reliability.

How does the AI in DDx work?

DDx utilizes advanced artificial intelligence architecture to create dynamic real-world simulations. The AI guides students through multi-role interactions, diagnostic processes, and treatment planning, offering real-time feedback to help develop clinical reasoning skills in a risk-free environment.

How can DDx be incorporated into my curriculum?

DDx can be seamlessly integrated into curricula to support case-based learning in both preclinical and clinical years. Faculty can create assignments (courses) by selecting relevant cases and sharing course links with students. These cases can be used for lectures, group discussions, or assessments. Faculty can also modify assignments, such as updating due dates, with changes automatically reflected in student accounts.

How are cases created?

Cases in DDx are authored by practicing physicians who specialize in the relevant field and often serve as educators. Each case undergoes a rigorous review process, including internal QA by other SMEs and external QA by students, to ensure accuracy and educational value. While most cases follow a typical structure (history > physical exam > differential > orders/results > management), the presentation may vary to enhance engagement.

What data do you capture?

DDx collects specific user information to ensure proper access and track progress, including Student Performance Metrics, Interaction Logs, and Assessment scores.

How can DDx be incorporated into my curriculum?

DDx can be seamlessly integrated into curricula to support case-based learning in both preclinical and clinical years. Faculty can create assignments (courses) by selecting relevant cases and sharing course links with students. These cases can be used for lectures, group discussions, or assessments. Faculty can also modify assignments, such as updating due dates, with changes automatically reflected in student accounts.

How are cases created?

Cases in DDx are authored by practicing physicians who specialize in the relevant field and often serve as educators. Each case undergoes a rigorous review process, including internal QA by other SMEs and external QA by students, to ensure accuracy and educational value. While most cases follow a typical structure (history > physical exam > differential > orders/results > management), the presentation may vary to enhance engagement.

How do you account for AI accuracy?

AI responses in DDx are based on expert-vetted information to ensure realistic and clinically accurate communication. Each case goes through multiple rounds of quality assurance (QA) conducted by faculty subject matter experts (SMEs) and the DDx content team (all MDs), as well as ongoing student testing. AI responses are also updated based on validated research and faculty feedback to ensure continued accuracy and reliability.

How does the AI in DDx work?

DDx utilizes advanced artificial intelligence architecture to create dynamic real-world simulations. The AI guides students through multi-role interactions, diagnostic processes, and treatment planning, offering real-time feedback to help develop clinical reasoning skills in a risk-free environment.