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You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Perform a structured prakriti / vikriti assessment for this Indian patient using the public-domain dosha framework (Vata / Pitta / Kapha) referenced by name only — NO Charaka / Sushruta / Ashtanga Hridaya / Bhavaprakasha text reproduction. State prakriti, current vikriti, sama vs nirama state, and biomedical correlatio... | Patient AYUSH-INDIA-000001: 72 M | Himachal Pradesh (india)
Setting: AYUSH Wellness Resort (Kerala panchakarma centre)
Biomedical condition: Cervical Spondylosis | Severity: Moderate — combined AYUSH + biomedical care, monitoring intensified
Classical correlate: Manyastambha / Greevagrahana | System domain: msk
Prakrit... | ### Case Overview
- 72 M | Himachal Pradesh (india) | Setting: AYUSH Wellness Resort (Kerala panchakarma centre)
- Presenting biomedical condition: Cervical Spondylosis | Severity: Moderate — combined AYUSH + biomedical care, monitoring intensified
- Classical correlate: Manyastambha / Greevagrahana | System domain: ms... | ayush_integrative | prakriti_assessment_classical | medstack_synthetic_in_ayush | AYUSH-INDIA-000001 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Build a structured integrative-management plan for this Indian patient. PRIMARY axis is biomedical standard of care; AYUSH is ADJUNCTIVE. State biomedical regimen + cadence, AYUSH intervention class + classical preparations + pathya/apathya + yoga/pranayama, mandatory pre-dispense cross-checks (herb-drug interaction, p... | Patient AYUSH-INDIA-000001: 72 M | Himachal Pradesh | Setting: AYUSH Wellness Resort (Kerala panchakarma centre)
Biomedical condition: Cervical Spondylosis (severity: Moderate — combined AYUSH + biomedical care, monitoring intensified)
Classical correlate: Manyastambha / Greevagrahana | Domain: msk
Prakriti / vikriti: ... | ### Goals
1. Achieve BIOMEDICAL disease control per current standard of care (ADA/AHA/EULAR/NICE-equivalent specialty endpoints).
2. Layer AYUSH interventions to reduce symptom burden, improve quality of life, support medication tolerability, and enable lifestyle adherence.
3. Avoid herb-drug-interaction harm and bhasm... | ayush_integrative | integrative_management_chronic_disease | medstack_synthetic_in_ayush | AYUSH-INDIA-000001 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Generate a structured herb-drug interaction safety check for this patient. List each recommended Ayurvedic preparation's known interaction profile (encoded from CCRAS, NCCIH, EMEA HMPC, FDA, and Cochrane CM Field — referenced by name only). Cross-reference against the patient's current biomedical regimen and flag speci... | Patient AYUSH-INDIA-000001: 72 M | Cervical Spondylosis
Recommended herbs: Haridra (Curcumin) (Curcuma longa); Guduchi (Tinospora cordifolia); Guggulu (Commiphora mukul) (Commiphora wightii); Mahayograj Guggulu (compound) (multi-herb + bhasma classical formula); Ashwagandha (Withania somnifera)
Per-herb encoded interac... | ### Case Inputs
- Recommended Ayurvedic preparations: Haridra (Curcumin) (Curcuma longa); Guduchi (Tinospora cordifolia); Guggulu (Commiphora mukul) (Commiphora wightii); Mahayograj Guggulu (compound) (multi-herb + bhasma classical formula); Ashwagandha (Withania somnifera)
- Current biomedical regimen: None (AYUSH-onl... | ayush_integrative | herb_drug_interaction_safety | medstack_synthetic_in_ayush | AYUSH-INDIA-000001 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Grade the evidence behind the proposed AYUSH intervention for this patient using the 5-tier EBM-AYUSH framework (Tier-1 Cochrane SR → Tier-5 classical text only). State the assigned tier, rationale, limitations, and a tier-appropriate clinical decision (offer as primary / adjunctive only / low-risk adjunctive only / do... | Patient AYUSH-INDIA-000001: 72 M | Cervical Spondylosis (severity: Moderate — combined AYUSH + biomedical care, monitoring intensified)
Proposed intervention class: Combined Shamana + Pathya + Yoga
Specific preparations: Haridra (Curcumin) (Curcuma longa); Guduchi (Tinospora cordifolia); Guggulu (Commiphora mukul) (Com... | ### Intervention Under Review
- Intervention: Combined Shamana + Pathya + Yoga — Haridra (Curcumin) (Curcuma longa); Guduchi (Tinospora cordifolia); Guggulu (Commiphora mukul) (Commiphora wightii); Mahayograj Guggulu (compound) (multi-herb + bhasma classical formula); Ashwagandha (Withania somnifera) + Shavasana + Join... | ayush_integrative | ayush_ebm_evidence_grading | medstack_synthetic_in_ayush | AYUSH-INDIA-000001 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Write a single structured, clinician-grade integrative-medicine consultation summary for this patient. Synthesize the ENTIRE chart provided (longitudinal visit history, supporting laboratory panel, medication reconciliation, classical BAMS assessment notes, social/lifestyle history, and prior AYUSH exposure) into one c... | Patient AYUSH-INDIA-000001: 72 M | Cervical Spondylosis (severity: Moderate — combined AYUSH + biomedical care, monitoring intensified)
Setting: AYUSH Wellness Resort (Kerala panchakarma centre) | Region: india (india)
Proposed intervention class: Combined Shamana + Pathya + Yoga
Recommended preparations: Haridra (Curc... | ### Reason for Consultation
- 72 M | Himachal Pradesh (india) | Setting: AYUSH Wellness Resort (Kerala panchakarma centre)
- Referred for AYUSH integrative review of Cervical Spondylosis (classical: Manyastambha / Greevagrahana); severity: Moderate — combined AYUSH + biomedical care, monitoring intensified.
- Headline ... | ayush_integrative | integrative_consult_summary | medstack_synthetic_in_ayush | AYUSH-INDIA-000001 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Perform a safety triage for this patient using the full chart. Screen explicitly for biomedical red flags (hypertensive emergency/urgency, high-activity RA, severe psoriasis, severe depression / suicidality, poorly controlled diabetes with complications, cancer pain, acute decompensation) and high-risk populations (pre... | Patient AYUSH-INDIA-000001: 72 M | Cervical Spondylosis (severity: Moderate — combined AYUSH + biomedical care, monitoring intensified)
Region: india (india) | Setting: AYUSH Wellness Resort (Kerala panchakarma centre)
Current biomedical regimen: None (AYUSH-only management initially)
Chart escalation flag: NO
### Cas... | ### Presenting Snapshot
- 72 M | Cervical Spondylosis (classical: Manyastambha / Greevagrahana) | severity: Moderate — combined AYUSH + biomedical care, monitoring intensified.
- Objective metric this cycle: **symptom-burden VAS 7/10** (endpoint: reduce symptom-burden VAS by ≥2 points from 7/10 over the 9-week adjunct ... | ayush_integrative | safety_triage_escalation | medstack_synthetic_in_ayush | AYUSH-INDIA-000001 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Perform a structured prakriti / vikriti assessment for this Indian patient using the public-domain dosha framework (Vata / Pitta / Kapha) referenced by name only — NO Charaka / Sushruta / Ashtanga Hridaya / Bhavaprakasha text reproduction. State prakriti, current vikriti, sama vs nirama state, and biomedical correlatio... | Patient AYUSH-INDIA-000002: 66 M | Delhi NCR (india)
Setting: Government AYUSH Hospital (state-run)
Biomedical condition: Osteoarthritis (Knee) | Severity: Kellgren-Lawrence grade 2 (mild)
Classical correlate: Sandhigata Vata (Janu) | System domain: msk
Prakriti (constitutional baseline): Pitta-Kapha
Vikriti (current i... | ### Case Overview
- 66 M | Delhi NCR (india) | Setting: Government AYUSH Hospital (state-run)
- Presenting biomedical condition: Osteoarthritis (Knee) | Severity: Kellgren-Lawrence grade 2 (mild)
- Classical correlate: Sandhigata Vata (Janu) | System domain: msk
- Baseline objective metric this cycle: **symptom-burden ... | ayush_integrative | prakriti_assessment_classical | medstack_synthetic_in_ayush | AYUSH-INDIA-000002 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Build a structured integrative-management plan for this Indian patient. PRIMARY axis is biomedical standard of care; AYUSH is ADJUNCTIVE. State biomedical regimen + cadence, AYUSH intervention class + classical preparations + pathya/apathya + yoga/pranayama, mandatory pre-dispense cross-checks (herb-drug interaction, p... | Patient AYUSH-INDIA-000002: 66 M | Delhi NCR | Setting: Government AYUSH Hospital (state-run)
Biomedical condition: Osteoarthritis (Knee) (severity: Kellgren-Lawrence grade 2 (mild))
Classical correlate: Sandhigata Vata (Janu) | Domain: msk
Prakriti / vikriti: Pitta-Kapha / Kapha aggravation, Pitta-Kapha prakriti basel... | ### Care Goals
1. Achieve BIOMEDICAL disease control per current standard of care (ADA/AHA/EULAR/NICE-equivalent specialty endpoints).
2. Layer AYUSH interventions to reduce symptom burden, improve quality of life, support medication tolerability, and enable lifestyle adherence.
3. Avoid herb-drug-interaction harm and ... | ayush_integrative | integrative_management_chronic_disease | medstack_synthetic_in_ayush | AYUSH-INDIA-000002 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Generate a structured herb-drug interaction safety check for this patient. List each recommended Ayurvedic preparation's known interaction profile (encoded from CCRAS, NCCIH, EMEA HMPC, FDA, and Cochrane CM Field — referenced by name only). Cross-reference against the patient's current biomedical regimen and flag speci... | Patient AYUSH-INDIA-000002: 66 M | Osteoarthritis (Knee)
Recommended herbs: Ashwagandha (Withania somnifera); Yogaraj Guggulu (compound) (multi-herb classical formula)
Per-herb encoded interactions: Ashwagandha: CYP3A4 modulation — caution with sedatives, immunosuppressants, thyroid hormone (may increase T4) / Avoid in... | ### Inputs
- Recommended Ayurvedic preparations: Ashwagandha (Withania somnifera); Yogaraj Guggulu (compound) (multi-herb classical formula)
- Current biomedical regimen: Methotrexate 10-15 mg weekly + folic acid; Prednisolone 5-10 mg OD (taper)
- Baseline objective metric this cycle: symptom-burden VAS 4/10.
### Per-... | ayush_integrative | herb_drug_interaction_safety | medstack_synthetic_in_ayush | AYUSH-INDIA-000002 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Grade the evidence behind the proposed AYUSH intervention for this patient using the 5-tier EBM-AYUSH framework (Tier-1 Cochrane SR → Tier-5 classical text only). State the assigned tier, rationale, limitations, and a tier-appropriate clinical decision (offer as primary / adjunctive only / low-risk adjunctive only / do... | Patient AYUSH-INDIA-000002: 66 M | Osteoarthritis (Knee) (severity: Kellgren-Lawrence grade 2 (mild))
Proposed intervention class: Pathya-Apathya (diet + lifestyle)
Specific preparations: Ashwagandha (Withania somnifera); Yogaraj Guggulu (compound) (multi-herb classical formula)
Mind-body component: Trikonasana (modifi... | ### Intervention Under Review
- Intervention: Pathya-Apathya (diet + lifestyle) — Ashwagandha (Withania somnifera); Yogaraj Guggulu (compound) (multi-herb classical formula) + Trikonasana (modified) + Joint loosening (Sukshma Vyayama) + pathya/apathya
- Indication: Osteoarthritis (Knee) (classical: Sandhigata Vata (Jan... | ayush_integrative | ayush_ebm_evidence_grading | medstack_synthetic_in_ayush | AYUSH-INDIA-000002 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Write a single structured, clinician-grade integrative-medicine consultation summary for this patient. Synthesize the ENTIRE chart provided (longitudinal visit history, supporting laboratory panel, medication reconciliation, classical BAMS assessment notes, social/lifestyle history, and prior AYUSH exposure) into one c... | Patient AYUSH-INDIA-000002: 66 M | Osteoarthritis (Knee) (severity: Kellgren-Lawrence grade 2 (mild))
Setting: Government AYUSH Hospital (state-run) | Region: india (india)
Proposed intervention class: Pathya-Apathya (diet + lifestyle)
Recommended preparations: Ashwagandha (Withania somnifera); Yogaraj Guggulu (compoun... | ### Consultation Context
- 66 M | Delhi NCR (india) | Setting: Government AYUSH Hospital (state-run)
- Referred for AYUSH integrative review of Osteoarthritis (Knee) (classical: Sandhigata Vata (Janu)); severity: Kellgren-Lawrence grade 2 (mild).
- Headline objective metric this cycle: **symptom-burden VAS 4/10** (pre-... | ayush_integrative | integrative_consult_summary | medstack_synthetic_in_ayush | AYUSH-INDIA-000002 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Perform a safety triage for this patient using the full chart. Screen explicitly for biomedical red flags (hypertensive emergency/urgency, high-activity RA, severe psoriasis, severe depression / suicidality, poorly controlled diabetes with complications, cancer pain, acute decompensation) and high-risk populations (pre... | Patient AYUSH-INDIA-000002: 66 M | Osteoarthritis (Knee) (severity: Kellgren-Lawrence grade 2 (mild))
Region: india (india) | Setting: Government AYUSH Hospital (state-run)
Current biomedical regimen: Methotrexate 10-15 mg weekly + folic acid; Prednisolone 5-10 mg OD (taper)
Chart escalation flag: NO
### Case dossier
... | ### Triage Inputs
- 66 M | Osteoarthritis (Knee) (classical: Sandhigata Vata (Janu)) | severity: Kellgren-Lawrence grade 2 (mild).
- Objective metric this cycle: **symptom-burden VAS 4/10** (endpoint: reduce symptom-burden VAS by ≥2 points from 4/10 over the 8-week adjunct trial).
- Current biomedical regimen: Methotre... | ayush_integrative | safety_triage_escalation | medstack_synthetic_in_ayush | AYUSH-INDIA-000002 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Perform a structured prakriti / vikriti assessment for this Indian patient using the public-domain dosha framework (Vata / Pitta / Kapha) referenced by name only — NO Charaka / Sushruta / Ashtanga Hridaya / Bhavaprakasha text reproduction. State prakriti, current vikriti, sama vs nirama state, and biomedical correlatio... | Patient AYUSH-INDIA-000003: 67 F | West Bengal (india)
Setting: BAMS Practitioner Private Clinic
Biomedical condition: NAFLD (Mild-Moderate) | Severity: Moderate — combined AYUSH + biomedical care, monitoring intensified
Classical correlate: Yakrit Vikara | System domain: gi
Prakriti (constitutional baseline): Vata-Pit... | ### Patient Snapshot
- 67 F | West Bengal (india) | Setting: BAMS Practitioner Private Clinic
- Presenting biomedical condition: NAFLD (Mild-Moderate) | Severity: Moderate — combined AYUSH + biomedical care, monitoring intensified
- Classical correlate: Yakrit Vikara | System domain: gi
- Baseline objective metric this... | ayush_integrative | prakriti_assessment_classical | medstack_synthetic_in_ayush | AYUSH-INDIA-000003 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Build a structured integrative-management plan for this Indian patient. PRIMARY axis is biomedical standard of care; AYUSH is ADJUNCTIVE. State biomedical regimen + cadence, AYUSH intervention class + classical preparations + pathya/apathya + yoga/pranayama, mandatory pre-dispense cross-checks (herb-drug interaction, p... | Patient AYUSH-INDIA-000003: 67 F | West Bengal | Setting: BAMS Practitioner Private Clinic
Biomedical condition: NAFLD (Mild-Moderate) (severity: Moderate — combined AYUSH + biomedical care, monitoring intensified)
Classical correlate: Yakrit Vikara | Domain: gi
Prakriti / vikriti: Vata-Pitta / Vata aggravation, Vata-P... | ### Care Goals
1. Achieve BIOMEDICAL disease control per current standard of care (ADA/AHA/EULAR/NICE-equivalent specialty endpoints).
2. Layer AYUSH interventions to reduce symptom burden, improve quality of life, support medication tolerability, and enable lifestyle adherence.
3. Avoid herb-drug-interaction harm and ... | ayush_integrative | integrative_management_chronic_disease | medstack_synthetic_in_ayush | AYUSH-INDIA-000003 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Generate a structured herb-drug interaction safety check for this patient. List each recommended Ayurvedic preparation's known interaction profile (encoded from CCRAS, NCCIH, EMEA HMPC, FDA, and Cochrane CM Field — referenced by name only). Cross-reference against the patient's current biomedical regimen and flag speci... | Patient AYUSH-INDIA-000003: 67 F | NAFLD (Mild-Moderate)
Recommended herbs: Triphala (Emblica officinalis + Terminalia bellirica + Terminalia chebula); Kutaja (Holarrhena antidysenterica); Shatavari (Asparagus racemosus)
Per-herb encoded interactions: Triphala: Mild laxative — additive K+ loss with thiazides/loop diure... | ### Inputs
- Recommended Ayurvedic preparations: Triphala (Emblica officinalis + Terminalia bellirica + Terminalia chebula); Kutaja (Holarrhena antidysenterica); Shatavari (Asparagus racemosus)
- Current biomedical regimen: Domperidone 10 mg TDS
- Baseline objective metric this cycle: symptom-burden VAS 6/10.
### Drug... | ayush_integrative | herb_drug_interaction_safety | medstack_synthetic_in_ayush | AYUSH-INDIA-000003 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Grade the evidence behind the proposed AYUSH intervention for this patient using the 5-tier EBM-AYUSH framework (Tier-1 Cochrane SR → Tier-5 classical text only). State the assigned tier, rationale, limitations, and a tier-appropriate clinical decision (offer as primary / adjunctive only / low-risk adjunctive only / do... | Patient AYUSH-INDIA-000003: 67 F | NAFLD (Mild-Moderate) (severity: Moderate — combined AYUSH + biomedical care, monitoring intensified)
Proposed intervention class: Rasayana (rejuvenative tonic)
Specific preparations: Triphala (Emblica officinalis + Terminalia bellirica + Terminalia chebula); Kutaja (Holarrhena antidy... | ### Claim Under Review
- Intervention: Rasayana (rejuvenative tonic) — Triphala (Emblica officinalis + Terminalia bellirica + Terminalia chebula); Kutaja (Holarrhena antidysenterica); Shatavari (Asparagus racemosus) + Ardha Matsyendrasana + Pawanmuktasana + pathya/apathya
- Indication: NAFLD (Mild-Moderate) (classical:... | ayush_integrative | ayush_ebm_evidence_grading | medstack_synthetic_in_ayush | AYUSH-INDIA-000003 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Write a single structured, clinician-grade integrative-medicine consultation summary for this patient. Synthesize the ENTIRE chart provided (longitudinal visit history, supporting laboratory panel, medication reconciliation, classical BAMS assessment notes, social/lifestyle history, and prior AYUSH exposure) into one c... | Patient AYUSH-INDIA-000003: 67 F | NAFLD (Mild-Moderate) (severity: Moderate — combined AYUSH + biomedical care, monitoring intensified)
Setting: BAMS Practitioner Private Clinic | Region: india (india)
Proposed intervention class: Rasayana (rejuvenative tonic)
Recommended preparations: Triphala (Emblica officinalis + ... | ### Consultation Context
- 67 F | West Bengal (india) | Setting: BAMS Practitioner Private Clinic
- Referred for AYUSH integrative review of NAFLD (Mild-Moderate) (classical: Yakrit Vikara); severity: Moderate — combined AYUSH + biomedical care, monitoring intensified.
- Headline objective metric this cycle: **symptom-... | ayush_integrative | integrative_consult_summary | medstack_synthetic_in_ayush | AYUSH-INDIA-000003 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Perform a safety triage for this patient using the full chart. Screen explicitly for biomedical red flags (hypertensive emergency/urgency, high-activity RA, severe psoriasis, severe depression / suicidality, poorly controlled diabetes with complications, cancer pain, acute decompensation) and high-risk populations (pre... | Patient AYUSH-INDIA-000003: 67 F | NAFLD (Mild-Moderate) (severity: Moderate — combined AYUSH + biomedical care, monitoring intensified)
Region: india (india) | Setting: BAMS Practitioner Private Clinic
Current biomedical regimen: Domperidone 10 mg TDS
Chart escalation flag: NO
### Case dossier
- Baseline objective me... | ### Presenting Snapshot
- 67 F | NAFLD (Mild-Moderate) (classical: Yakrit Vikara) | severity: Moderate — combined AYUSH + biomedical care, monitoring intensified.
- Objective metric this cycle: **symptom-burden VAS 6/10** (endpoint: reduce symptom-burden VAS by ≥2 points from 6/10 over the 9-week adjunct trial).
- Curr... | ayush_integrative | safety_triage_escalation | medstack_synthetic_in_ayush | AYUSH-INDIA-000003 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Perform a structured prakriti / vikriti assessment for this Indian patient using the public-domain dosha framework (Vata / Pitta / Kapha) referenced by name only — NO Charaka / Sushruta / Ashtanga Hridaya / Bhavaprakasha text reproduction. State prakriti, current vikriti, sama vs nirama state, and biomedical correlatio... | Patient AYUSH-INDIA-000004: 58 M | Karnataka (india)
Setting: Government AYUSH Hospital (state-run)
Biomedical condition: Chronic Low Back Pain | Severity: Mild — outpatient AYUSH amenable, biomedical baseline obtained
Classical correlate: Katigraha | System domain: msk
Prakriti (constitutional baseline): Vata-Pitta
Vi... | ### Presenting Picture
- 58 M | Karnataka (india) | Setting: Government AYUSH Hospital (state-run)
- Presenting biomedical condition: Chronic Low Back Pain | Severity: Mild — outpatient AYUSH amenable, biomedical baseline obtained
- Classical correlate: Katigraha | System domain: msk
- Baseline objective metric this cy... | ayush_integrative | prakriti_assessment_classical | medstack_synthetic_in_ayush | AYUSH-INDIA-000004 |
You are MedStackAI AYUSH Assistant, a specialized AYUSH (Ayurveda + Yoga + Integrative Medicine) DECISION-SUPPORT AI trained on de-identified synthetic AYUSH patient data (India ICMR-AYUSH/CCRAS-weighted + Rest-of-World NCCIH-weighted) and license-clean public knowledge sources (CCRAS public bulletins, ICMR-AYUSH RCT r... | Build a structured integrative-management plan for this Indian patient. PRIMARY axis is biomedical standard of care; AYUSH is ADJUNCTIVE. State biomedical regimen + cadence, AYUSH intervention class + classical preparations + pathya/apathya + yoga/pranayama, mandatory pre-dispense cross-checks (herb-drug interaction, p... | Patient AYUSH-INDIA-000004: 58 M | Karnataka | Setting: Government AYUSH Hospital (state-run)
Biomedical condition: Chronic Low Back Pain (severity: Mild — outpatient AYUSH amenable, biomedical baseline obtained)
Classical correlate: Katigraha | Domain: msk
Prakriti / vikriti: Vata-Pitta / Kapha aggravation, Vata-Pitta... | ### Plan Objectives
1. Achieve BIOMEDICAL disease control per current standard of care (ADA/AHA/EULAR/NICE-equivalent specialty endpoints).
2. Layer AYUSH interventions to reduce symptom burden, improve quality of life, support medication tolerability, and enable lifestyle adherence.
3. Avoid herb-drug-interaction harm... | ayush_integrative | integrative_management_chronic_disease | medstack_synthetic_in_ayush | AYUSH-INDIA-000004 |
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MedStackAI AYUSH Instruction Dataset v2 (long-context, leak-free splits)
Synthetic AYUSH (Ayurveda + Yoga + Integrative Medicine) instruction-tuning dataset for fine-tuning Mistral-7B-v0.3 into the MedStackAI AYUSH Assistant.
v2 expands each patient into a genuine longitudinal record (8–14 encounters, a lab-trend table, review of systems, family history, imaging/diagnostic reports, prior specialist consult notes, preventive/screening and care-coordination sections). Full input+output length: p50 ~1.8k, p99 ~3.06k, max ~3.26k tokens.
Splits (patient-level, leak-free)
train.jsonl— 75,743 rows / 12,624 patientsval.jsonl— 4,122 rows / 687 patientstest.jsonl— 4,134 rows / 689 patients (held-out; eval5 certification only)
Splits are bucketed by sha256(patient_id) so all six task rows of any patient
land in exactly one split (no dossier facts cross the train/held-out boundary).
Verified: patient-disjoint across all splits, 0 structural-key leakage between
train and val+test. See SPLIT_MANIFEST.json for exact row/patient counts and
SHA-256 of each split.
Task types (6 per patient)
prakriti_assessment_classical, integrative_management_chronic_disease,
herb_drug_interaction_safety, ayush_ebm_evidence_grading,
integrative_consult_summary, safety_triage_escalation.
Provenance & license
Fully synthetic (deterministic mulberry32 generators; India CCRAS/ICMR-AYUSH + RoW NCCIH weighting). No real PHI. Apache-2.0.
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