02-06-26, 04:48 AM
eleonor-sample.zip (Size: 51.65 KB / Downloads: 11)
eleonor-sample.zip (Size: 51.65 KB / Downloads: 11)
Eleonor.mx — Full Clinical Database (Mexico)
2.7M patients · 30.9K physicians · 1.2M prescriptions · 6 years longitudinal data
What This Is
The complete database of Mexico's leading ambulatory EHR platform. Individual-level clinical records — not aggregated, not sampled. Every patient, every prescription, every physician, every family link.
| | |
|---|---|
| Unique patients | 2,704,652 |
| Physicians | 30,929 (99% with personal email + phone) |
| Prescriptions | 1,246,885 (with drug, dose, diagnosis, physician) |
| Consultations | 448,944 timestamped encounters |
| Family links | 328,319 parent↔child relationships |
| Minors | 264,969 patients under 18 |
| CURP (national ID) | 184,842 verified |
| Google Calendar access | 4,527 physicians (read/write, currently active) |
| Geography | Mexico nationwide |
| Period | 2020 – May 2026 |
| Format | JSONL (also available as CSV or Parquet) |
Growth & Freshness
| Year | Prescriptions | Consultations |
|------|--------------|---------------|
| 2020 | 29,332 | 13,122 |
| 2021 | 90,702 | 28,265 |
| 2022 | 82,932 | 35,754 |
| 2023 | 87,725 | 38,555 |
| 2024 | 127,786 | 53,289 |
| 2025 | 154,447 | 62,225 |
| 2026 (Jan–May) | 673,540 | 217,503 |
Data is current as of May 30, 2026. Platform is (until now) actively growing.
Deliverables
| File | Size | Records |
|------|------|---------|
| patients.jsonl | 2.7 GB | 2,704,652 |
| doctors.jsonl | 150 MB | 30,929 |
| prescriptions.jsonl | 854 MB | 1,246,885 |
| family-relations.jsonl | 49 MB | 328,319 |
Active Access we have (currently available)
- Google Calendar read/write for 4,527 physicians (appointment data with patient names, phones, dates). We also downloaded calendars.
- OAuth refresh tokens for 4,744 physicians (Google Calendar, Drive, Sheets)
- Secretary PINs for 3,989 physicians (appointment booking)
Patient Data — Three Tiers
Every patient record includes their physician fully embedded (name, personal email, mobile phone, specialty, hospital, address, subscription plan).
Tier 1 — Full Clinical Record (357,783 patients)
| Field | Coverage |
|-------|----------|
| Full name (name + lastF + lastM) | 100% |
| Date of birth | 98% |
| Mobile phone | 80% |
| Diagnoses (free-text + CIE-10) | 74% |
| Treatments (drug, dose, date, instructions) | 76% |
| Consultation dates (timestamped visits) | 76% |
| CURP (national ID) | 52% |
| Email | 39% |
| Sex, pregnancy status, alive | 8% |
| Family members embedded | 2% |
| Physician embedded | 99% |
Tier 2 — Rich Demographic + Clinical Metadata (992,909 patients)
| Field | Coverage |
|-------|----------|
| Full name | 100% |
| Sex (MALE/FEMALE) | 100% |
| Alive status | 100% |
| Registration date | 100% |
| Pregnancy status | 95% |
| Has been consulted | 95% (53% confirmed consulted) |
| Has medical record (expedientKey) | 94% |
| Phone number(s) | 83% |
| Age / date of birth | 78% |
| Country of birth | 67% |
| Indigenous / Afro-Mexican | 41% |
| Pending appointment | 33% |
| Email | 30% |
| Family members embedded | 30% |
| Physician embedded | 100% |
Tier 3 — Contact + Physician (1,353,960 patients)
| Field | Coverage |
|-------|----------|
| Full name | 100% |
| Mobile phone | 77% |
| Physician embedded (full profile) | 100% |
Physician Data (30,929 records)
| Field | Coverage |
|-------|----------|
| Full name | 99% |
| Personal email | 99% |
| Mobile phone | 97% |
| Medical specialty | 98% |
| Patient count | 47% |
| Google OAuth token | 18% |
| Google Calendar ID | 15% |
| Secretary PIN | 13% |
| Subscription plan | 13% |
| Google account ID + photo | 10% |
| Hospital / address / city | 2–3% |
Field Reference
Patient fields (all tiers include doctor{} embedded)
Tier 1: pk, name, lastF, lastM, birthDate, age, curp, mobilePhone, phone, mail, genre, alive, pregnant, birthCountry, native, afro, smig, registerDate, consulted, hasFinalizedConsultation, expedientKey, fullAge, ouid, nextEvent, pic, photo, diagnostics, treatments[], consultation_dates[], last_consultation, is_minor, doctor{}, family[]
Tier 2: pk, name, lastF, lastM, genre, alive, pregnant, registerDate, consulted, hasFinalizedConsultation, expedientKey, smig, fullAge, ouid, phoneNumbers[], mobilePhone, age, birthDate, birthCountry, native, afro, nextEvent, mail, cmail, pic, photo, is_minor, doctor{}, family[]
Tier 3: pk, name, mobilePhone, doctor{}
doctor{} embedded: mk, nombre, especialidad, mail, telefono, hospital, ciudad, direccion, consultorio, plan, firebase_key
family[] embedded: relation_type, pk, name, lastF, lastM, mobilePhone, age, genre, tier
Physician fields
mk, nombre, especialidad, mail, telefono, hospital, direccion, ciudad, consultorio, firebase_key, pin, plan, google_id, google_picture, google_scopes, calendarId, has_oauth_token, oauth_scope, has_full_token, token_scope, num_pacientes, patients_count, patients_pks[]
Prescription fields
patient_pk, patient_name, patient_lastF, patient_lastM, patient_age, patient_phone, patient_mail, doctor_mk, doctor_nombre, doctor_especialidad, doctor_mail, doctor_telefono, date, medicine, prescription, indications, diagnostics
Family relation fields
patient_pk, related_pk, relation_type (MOTHER, FATHER, CHILD)
Full schema examples available in the sample package
eleonor-sample.zip (Size: 51.65 KB / Downloads: 11)
Top Therapeutic Areas
| Area | Rx volume | Key molecules |
|------|-----------|---------------|
| Diabetes & Metabolism | ~45,000 | Metformin, Dapagliflozin, Semaglutide |
| Cardiovascular | ~35,000 | Amlodipine, Atorvastatin, Losartan |
| Mental Health | ~20,000 | Pregabalin, Sertraline, Escitalopram |
| Gastroenterology | ~18,000 | Omeprazole, Macrogol, Sulodexide |
| Dermatology | ~15,000 | Spironolactone, Isotretinoin |
| Pediatrics | 265K patients | Vitamins, Antibiotics, Growth |
Physician Network
| Specialty | Physicians | Avg patients |
|-----------|-----------|-------------|
| General Medicine | 5,265 | 58 |
| OB/GYN | 2,533 | 71 |
| Pediatrics | 2,521 | 105 |
| Internal Medicine | 944 | 89 |
| Orthopedics | 943 | 42 |
| Endocrinology | 753 | 92 |
| Cardiology | 616 | 67 |
| Psychiatry | 613 | 54 |
Use Cases
| Buyer | Primary use | What they get |
|-------|------------|---------------|
| Pharmaceutical companies | Real-world prescription analytics, KOL identification, market share by molecule | Which doctors prescribe what, to whom, how often, and their direct contact |
| Health AI / NLP startups | Training data for diagnostic models, treatment recommendation, medical Spanish NLP | 272K diagnosis→treatment pairs, longitudinal patient journeys |
| Insurance companies | Risk scoring, actuarial tables, pre-existing condition mapping | 2.7M patients with demographics, conditions, family history |
| CROs (clinical research) | Patient recruitment, site selection, feasibility studies | Patients by condition + their treating physician |
| Medical device / sales | Physician targeting by specialty and volume | 30.9K doctors with personal email, phone, patient count |
| Data enrichment | Identity resolution, contact verification | 1.8M unique phones, 364K emails, 185K CURPs |
| Competitive intelligence | Platform usage, growth trends, geographic coverage | 6 years of longitudinal data showing adoption curves |
| Social engineering | You have PII, PHI, doctor & family information, use imagination | potencially hundred of millions USD |
Terms
One-time exclusive sale to a single buyer. Concerning privacy and scarcity value
| | |
|---|---|
| Asking price | $2-5M USD (negotiable based on scope) |
| Model | Single transaction, full transfer, no copies retained |
| Delivery | Encrypted drive, password-protected |
| Format | JSONL (default), CSV or Parquet on request |
| Communication | PGP-encrypted messages preferred |
| Sample | Available |
Serious inquiries only.
Contact through DM or [email protected] using PGP encription.