Tser-vak/Doctor-patient-convo

AI-Generated Doctor-Patient Conversations & Clinical Summaries

Dataset Description

This dataset contains synthetic, AI-generated transcripts of doctor-patient conversations paired with summarized clinical notes detailing the medical outcomes. It is designed to train and fine-tune Small Language Models (SLMs) for medical text summarization tasks.

Data Generation Methodology

The data was entirely generated using Google's Gemma 3 27B model.

To ensure realistic structures and formatting, the generation process used the ACI-Benchmark (Ambulatory Clinical Information) conversations and note styles as a structural template. To create a more robust and diverse dataset, the prompt generation was expanded to include a wider variety of illnesses, symptoms, and medical conditions not found in the original benchmark.

    # --- Cardiovascular ---
        "Chest pain",
        "Heart palpitations",
        "Congestive heart failure follow-up",
        "Hypertension follow-up",
        "High cholesterol follow-up",
        "Leg swelling and shortness of breath",
        "Atrial fibrillation follow-up",
        "Post-myocardial infarction follow-up",
        # --- Respiratory ---
        "Shortness of breath",
        "Persistent cough",
        "Asthma attack",
        "COPD exacerbation",
        "Pneumonia follow-up",
        "Sleep apnea evaluation",
        # --- Gastrointestinal ---
        "Abdominal pain",
        "Nausea and vomiting",
        "Diarrhea",
        "Constipation",
        "Acid reflux and heartburn",
        "Rectal bleeding",
        "Bloating and gas",
        "Irritable bowel syndrome follow-up",
        "Crohn's disease flare",
        # --- Musculoskeletal ---
        "Chronic lower back pain",
        "Knee pain after fall",
        "Shoulder pain",
        "Wrist fracture",
        "Heel pain (plantar fasciitis)",
        "Carpal tunnel syndrome",
        "Gout flare",
        "Swollen and painful joints",
        "Hip pain",
        "Neck pain and stiffness",
        "Ankle sprain",
        "Fibromyalgia follow-up",
        # --- Neurological ---
        "Migraine headache",
        "Severe headache",
        "Vertigo and dizziness",
        "Seizure follow-up",
        "Memory concerns and cognitive decline",
        "Numbness and tingling in hands",
        "Stroke follow-up",
        "Parkinson's disease follow-up",
        # --- Endocrine & Metabolic ---
        "Type 2 diabetes follow-up",
        "Hypothyroidism follow-up",
        "Hyperthyroidism follow-up",
        "Unexplained weight gain",
        "Fatigue and unexplained weight loss",
        "Vitamin D deficiency follow-up",
        "Iron-deficiency anemia",
        # --- Infectious Disease ---
        "Urinary tract infection",
        "Sore throat",
        "Skin infection (cellulitis)",
        "Acute allergic reaction",
        "Swollen lymph nodes",
        "Fever of unknown origin",
        "COVID-19 follow-up",
        "Recurrent sinus infections",
        # --- Dermatology ---
        "Skin rash",
        "Eczema flare",
        "Psoriasis follow-up",
        "Suspicious skin lesion",
        "Acne management",
        # --- Mental Health ---
        "Anxiety and panic attacks",
        "Depression screening",
        "Postpartum depression",
        "Chronic insomnia",
        "ADHD follow-up in adult",
        "PTSD follow-up",
        "Substance use counseling",
        "Burnout and occupational stress",
        # --- OB/GYN ---
        "Vaginal discharge",
        "Irregular menstrual periods",
        "Prenatal visit",
        "Menopausal symptoms",
        "Pelvic pain",
        "Contraception counseling",
        # --- Urology ---
        "Testicular pain",
        "Erectile dysfunction",
        "Frequent urination and urgency",
        "Kidney stone pain",
        # --- Ophthalmology/ENT ---
        "Vision changes",
        "Pediatric ear infection",
        "Hearing loss",
        "Chronic dry eye",
        # --- Preventive & Routine ---
        "Annual physical exam",
        "Pre-operative evaluation",
        "Medication refill visit",
        "Post-surgical wound check",
        "Well-child visit",
        "Immunization visit",
        "New patient intake",
        "Sports physical for school",
        # --- Urgent / ED Follow-up ---
        "Finger laceration",
        "Trauma follow-up after minor car accident",
        "Fainting episode evaluation"

⚠️ Critical Disclaimer

This dataset is for educational, demonstration, and research purposes only. All conversations and clinical notes are 100% synthetic and do not represent real patients or real medical advice. Because it is AI-generated, the data contains critical limitations, hallucinations, and inaccuracies. Under no circumstances should this dataset or models trained on it be used for clinical use, patient care, or real-world medical applications.

Licensing & Usage

This dataset is licensed under CC-BY-NC 4.0 for non-commercial research and educational purposes.

Note on Upstream Models: Because this data was synthetically generated using Gemma 3 27B, any models trained or fine-tuned on this dataset that replicate Gemma's core capabilities may be considered a "Model Derivative" and become subject to the Gemma Terms of Use.