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    Specialty Care Program · Cancer Recovery

    Keep cancer patients supported between visits

    The AI Care Team helps oncology clinics handle chemo prep questions, side-effect check-ins, and red-flag escalation — in Hindi and English — while staff stay in control.

    • Capture after-hours chemo anxiety and symptom questions on WhatsApp
    • Escalate fever, bleeding, or severe toxicity using your clinic protocol
    • Share approved preparation, recovery, and support-resource information
    Request a DemoEvaluate clinical capability
    Trust & Safety
    An illustrative conversation between a care professional and a patient
    Illustrative imagery

    The program workflow

    From patient signal to documented action

    Each Specialty Care Program is designed around the same workflow, tuned to the specialty. Here is what it looks like for cancer recovery.

    1. Step 1

      Patient signal

      A patient reports fever during a chemotherapy cycle in an after-hours WhatsApp check-in.

    2. Step 2

      AI check-in

      The AI asks for the temperature, chills, and any infection signs, and notes exactly when the fever started.

    3. Step 3

      Safety rule

      The neutropenic-fever protocol flags the report as urgent under your clinic's configured triggers.

    4. Step 4

      Staff escalation

      An urgent-priority escalation reaches the oncology team with symptoms, timing, and treatment phase.

    5. Step 5

      Documented action

      Your oncology team's decision and the referral go into the care record with the full timeline.

    Read a sample cancer recovery conversation
    Sample conversation
    Hindi

    Cancer Support Module

    Namaste Anjali ji. Main TherapyPod AI Care Team ka support module hoon, doctor nahi. Main aapki concerns note karke oncology team tak pahunchane mein madad karunga. Surgery ke baad aaj kaisa feel ho raha hai?

    Anjali

    Kamzori hai aur chemotherapy ke side effects ko lekar bahut dar lag raha hai.

    Cancer Support Module

    Main samajh raha hoon. Team ke review ke liye bataiye: bukhar, wound se discharge, naya bleeding, ya badhta hua dard to nahi hai?

    Anjali

    Bukhar ya discharge nahi hai. Kabhi kabhi halka dard hota hai.

    Synthetic preview for product evaluation. This AI assistant is not a clinician and does not provide medical advice. It collects information and escalates decisions to clinic staff.

    For clinical evaluators

    Evaluate Cancer Support Module

    Review the full conversation log, clinical anchors, and triage modules that power this specialty pathway.

    Evaluation preview only. The module collects structured inputs and escalates them against clinic-configured workflows. Diagnosis, treatment, and medication decisions remain with qualified clinic staff.

    CS

    Cancer Support Module

    Specialty Care Program assistant

    A configurable AI workflow that collects treatment questions and symptom check-ins, shares clinic-approved information, and routes urgent concerns to the oncology team. It does not diagnose, prescribe, or replace a clinician.

    Evaluate Capability

    Customize This Module

    See how this module can use your clinic's approved information, routing rules, and staff workflows.

    Request a Configuration Demo

    Clinical Specifications

    Cancer Recovery Clinical Anchors

    Evidence-based clinical checkpoints that guide personalized cancer care conversations

    Treatment Phase Assessment

    critical

    Identifies where the patient is in their cancer journey to tailor support appropriately

    • •Post-surgery recovery status (wound healing, pain management)
    • •Pre-chemotherapy preparation and anxiety management
    • •Active treatment tolerance and side effect monitoring
    • •Post-treatment survivorship planning

    Symptom Severity Stratification

    critical

    Evaluates symptoms to determine urgency of intervention and referral needs

    • •Grade 1-2 nausea managed with dietary modifications
    • •Grade 3-4 neutropenia requiring immediate medical attention
    • •Fatigue assessment using validated cancer fatigue scales
    • •Pain scoring with cancer-specific pain assessment tools

    Psychosocial Screening

    high

    Identifies emotional and social support needs throughout cancer treatment

    • •Depression screening using PHQ-9 adapted for cancer patients
    • •Family support system evaluation
    • •Work-life balance during treatment
    • •Body image concerns and coping strategies

    Nutritional Status Monitoring

    high

    Tracks nutritional intake and manages treatment-related dietary challenges

    • •Weight loss percentage calculation and intervention triggers
    • •Protein intake assessment for wound healing
    • •Managing chemotherapy-induced taste changes
    • •Cultural dietary preferences integration

    Fertility and Sexual Health

    medium

    Addresses reproductive concerns and intimate relationship impacts

    • •Fertility preservation counseling timing
    • •Contraception during chemotherapy
    • •Managing treatment-induced menopause
    • •Partner communication strategies

    Run this program in your clinic

    Deploy the Cancer Support Module and the other Specialty Care Programs with your clinic's protocols and staff escalation paths.

    Request a Demo

    Questions about this workflow

    How does TherapyPod support cancer recovery patients?

    The AI Care Team helps clinics collect patient-reported treatment questions and recovery check-ins, share clinic-approved information, and route urgent or complex concerns to oncology staff in Hindi and English.

    Can the AI Care Team help with chemotherapy side effect management?

    The AI Care Team does not diagnose or manage treatment. It records reported symptoms and questions, shows information approved by the clinic, and routes warning signs and treatment decisions to the oncology team.

    Does TherapyPod connect cancer patients with support groups?

    Clinics can configure the AI Care Team to share approved support-resource links and collect follow-up requests. Clinic staff remain responsible for recommendations and care coordination.

    TherapyPod

    The AI care team for clinics

    AI patient engagement and clinical workflows — with human-in-the-loop safety.

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