Education
The dashboard shows, by cohort and specialty, where students get the diagnosis right and where they need more practice, across the program.
Diagnostic accuracy week by week, past year
Diagnostic accuracy
64%+5
vs 59% for previous cohorts
Students practicing
84%+15
118 of 140 this week
Cases solved
41.1k+27%
vs 32.4k for previous cohorts
Sets sent
667 for review
of 12 cases each, by area
Areas below the cohort
1for 6 weeks
Emergency Medicine
What is missing
Most say they need it. Few have it.
In an international survey, 85% said clinical reasoning needs a curriculum that runs through the whole program. 28% said their own institution has one.
In the clerkship
The shift decides what each student sees.
In a university hospital emergency department, the curriculum recommended 10 types of presenting complaint. Half the students saw 3 or fewer.
The architecture
Gamified Medical Learning Architecture
Three layers between the textbook and the clerkship: the content, the practice and the analysis of what the class does.
Core
The clinical graph underneath it all: diseases, findings and the links between them.
Practice
Fictional clinical cases that take 5 to 10 minutes, on a phone or computer.
Intelligence
The cohort dashboard and the program report.
01 Core
The clinical graph underneath it all.
Every disease, finding, test and ICD-10 code has its own page in Core, linked to the others by the relationships recognized in clinical practice.
Core is how each case knows which disease, findings and specialty it belongs to. That is why the dashboard breaks accuracy down by specialty and points to the next case set.
Dyspnea: 6 diseases across 3 specialties.
02 Practice
Short cases that follow what the class is studying.
Coordinators choose each cohort's case set based on what it is studying, and change the set when the dashboard flags a gap.
Faculty members do not need to write cases: the sets arrive ready and reviewed, by area. Students practice one short case a day, in their own language, with the explanation at the end, from first year to final year.
- 5 to 10 min per case
- Phone or computer
- PTENESFRDERU6 languages
Case set · Cohort 2023
October to December
- Pediatrics12
- Internal Medicine9
- Surgery7
- Emergency Medicine6
- Obstetrics & Gynecology5
- Psychiatry4
03 Intelligence
Where the class gets it right, and where it needs practice.
The dashboard cross-references cohort and area, flags what fell below the cohort average and points to the next case set.
Overview
Students active this week
67981% of 840
Program diagnostic accuracy
59%+2 points over the previous year
Weeks with practice, per student
9 of 12
Open gaps
3
Diagnostic accuracy by cohort and area
Where to practice next
Cohort 2023, Pediatrics
51%12 cases before the next clerkship
Cohort 2022, Obstetrics & Gynecology
52%12 cases before the next clerkship
Cohort 2021, Emergency Medicine
54%12 cases before the next clerkship
Accuracy by area, a year earlier and now
Same weeks, a year earlierLast 12 weeksTarget 70%
Who practiced, week by week
Share of the class that practiced in the week
Cohort 2021, year by year
+16 points from 1st to 6th year
Program report
From dashboard to report.
What each cohort practiced, the areas that dropped and the review sets that brought them back, with each cohort's accuracy against previous cohorts at the same point in the program.
- Accuracy and participation
- Each cohort's accuracy and participation, against previous cohorts at the same point in the program.
- Drops and review sets
- Each area that fell 5 points below the cohort, the review set sent and when it recovered.
- Sets sent
- Each week's 12-case sets, by cohort and by area.
- Research
- Academic data is kept apart from other uses and can be exported to CSV for the institution's studies.
Medical program
2026-27 academic year, weeks 1 to 12
Diagnostic accuracy
56%+1
vs 55% for previous cohorts, 70% target
Students practicing
77%+11
646 of 843 this week
Cases solved
70,615+31%
vs 54,059 for previous cohorts
Sets sent
11916 for review
of 12 cases each, by cohort and area
Areas recovered
12 of 164 open
back to cohort level in 5 weeks on average
| Cohort | Year | Accuracy | Previous cohorts | Practicing | Sets | Drops and review sets |
|---|---|---|---|---|---|---|
| Cohort 2021 | 6th | 64% +5 | 59% | 84% | 203 for review | |
| Cohort 2022 | 5th | 58% 0 | 58% | 87% | 203 for review | |
| Cohort 2023 | 4th | 58% +2 | 56% | 82% | 213 for review | |
| Cohort 2024 | 3rd | 56% +2 | 54% | 76% | 192 for review | |
| Cohort 2025 | 2nd | 53% +1 | 52% | 69% | 193 for review | |
| Cohort 2026 | 1st | 50% +1 | 49% | 62% | 202 for review | |
| Program | 56% +1 | 55% | 77% | 11916 for review |
Each student sees their own record, with accuracy by area and the sets they received.
Generated on October 1, 08:12, by the program coordinators. Each activity shows the date it was completed.
At the institution
It fits the way the institution teaches.
PBL
The week's problem gets short cases, solved during self-study between the opening and closing sessions.
Tutorial groups
12, of 11 to 12 students
Did the cases before closing
90%
Gain from opening to closing
+12 points
Groups below 60% at closing
2
Accuracy at closing, problem by problem
- Cases tied to the problem
- Each week's problem gets a set of short cases on the same topic.
- Between opening and closing
- The cases arrive after the opening session and stay open until closing.
- Tutors see their own group
- Before closing, the tutor sees what the group got right and wrong in the problem's cases.
- Coordinators see every group
- The class's tutorial groups side by side, problem by problem.
- Problem by problem
- The class's accuracy at the closing of each problem, across the semester.
- The method stays the same
- The tutorial group stays at the center of PBL. The cases go into self-study.
Use cases
What it looks like in an institution like yours.
When the group changes clerkship, the week's set changes area with it, and the new area's preceptor starts seeing the group.
On the dashboard · Accuracy in the current clerkship's area, 5th year
The dashboard shows each group in its current clerkship, with accuracy in that area.
Purchasing and rollout
Assisted rollout, cohort by cohort.
With a dedicated account manager, from contract until the cohorts are using it.
- 01
Contract
Annual per-student license, with support for the institution's procurement process.
- 02
Access
Institution sign-in and accounts created from enrollment.
- 03
Case sets
Defined with the coordinators, based on what each cohort is studying.
- 04
Cohorts
One cohort starts, and the others join one at a time.
- 05
Operations
Support and audit logs.
Questions
Frequently asked questions
Content
The clinical graph underneath it all: clinical concepts, reference chapters, ICD-10 codes and the links between them. Every case is checked against it before publication.
No. The cases are fictional, built from classic presentations described in the literature. We are a training tool, not a medical reference, and should not be used to guide clinical decisions.
Portuguese, English, Spanish, French, German and Russian.
Teaching
Diagnostic accuracy by cohort and area, each cohort's gaps, who practiced each week, practice hours and each cohort's accuracy year by year.
No. The cases arrive ready and reviewed, in sets by area that follow what the class is studying.
Yes. In a residency program, the cases are set at the program level, each resident is shown by postgraduate year and each preceptor sees their own area.
Access and data
Through the institution's sign-in (SAML/OIDC). Accounts are created from enrollment and closed at graduation.
Academic data is kept apart from other uses, and the institution can export it for its own studies.
Yes, through API integration with LMS, student records and the clerkship schedule, with complete audit logs.
Contract
Annual, with a per-student license and support for the institution's procurement process.
Assisted, one cohort at a time, with a dedicated account manager.
See how your students reason.
Annual contract, with a per-student license.
Or write to edu@nexo.wiki.br