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Healthcare AI Platform · India

AI That Knows
Your Hospital.

Tashka's AI platform is trained on your hospital's own data — not the internet. Medical coding, clinical queries, revenue intelligence, and data unification — all in one system built for Indian healthcare.

🤖
AI Medical Coding — ICD-10 & CPT
Clinical notes converted to accurate codes in real time. Reduces claim denials by 25%.
💬
Clinical AI Chatbot — RAG Architecture
Doctors query patient data in natural language. Answers from your EMR, LIS, and billing only.
📈
Revenue Cycle Intelligence
AI flags unbilled services, predicts denials, and surfaces TPA aging before it becomes bad debt.
Tashka AI Platform · Live
98%
Code accuracy
<10s
AI response
100%
Audit logged
🤖
AI Medical Coding● Live
💬
Clinical AI Chatbot● Live
📈
Revenue Cycle Intelligence● Live
🔗
Healthcare Data Unification● Live
🔒
Zero External Training● Verified
✓ RAG Architecture
✓ Your Data Only
✓ NABH & HIPAA Compliant
✓ 100% Audit-Logged
⭐ G2 5.0 Rated

98%

ICD-10 coding accuracy

<10s

Clinical AI response time

25%

Fewer claim denials

100%

Audit trail on every query

Conversational AI Built for Real Clinical Environments

Unlike generic AI tools, Tashka's Clinical Chat Box is context-aware, workflow-driven, and grounded in hospital-approved data — every response is traceable, auditable, and clinically relevant.

Eliminate System-Switching

Staff no longer log into 3–4 systems before ward rounds. One question to Tashka AI surfaces the complete patient context in under 10 seconds.

↓ Time on admin
🎯

Faster Clinical Decisions

Evidence-based answers from the patient's own clinical record — not a generic AI model. Doctors get what they need when they need it, at the bedside.

↑ Decision speed
📈

Operational Clarity for Admin

Billing status, pending discharges, bed availability, SOP queries — administrative teams get instant answers without phone calls or manual system lookups.

↑ Staff throughput
AI Medical Coding

From Clinical Notes.
To Accurate Codes.

Tashka reads the doctor's clinical notes and suggests the correct ICD-10 and CPT codes in real time — before the patient leaves the consultation room. No coder. No delay. No denial.

Doctor using AI medical coding Tashka
AI Coding · Live at Chirag Hospital
  • ICD-10 & CPT in real time

    Codes suggested as the doctor types — not after the fact.

  • Documentation gap alerts

    AI flags missing diagnoses that would cause claim denial before submission.

  • Specialty-trained models

    Cardiology, orthopaedics, general surgery — each specialty has its own trained model.

  • Auto-routes to billing

    Codes confirmed by doctor flow directly to TPA and insurance billing without re-entry.

See AI Coding in action →
🤖 AI Coding — Dr. Sharma · OPD ● Processing
Doctor's Notes

Patient presents with acute chest pain, shortness of breath for 2 days. ECG shows ST elevation. Troponin elevated. Suspected STEMI. Referred to cardiology.

AI Suggested Codes
I21.0
ST elevation MI of anterior wall
98% match
R07.9
Chest pain, unspecified
95% match
⚠ Missing: Severity documentation
Add acute severity to avoid denial
98%
ICD-10 accuracy
25%
Fewer claim denials
Zero
Manual coders needed
Clinical AI Chatbot

Ask Anything.
Get Your Hospital's Answer.

Doctors, nurses, and administrators query patient data, ward status, and billing in plain language. Every answer comes from your hospital's own systems — not the internet. Every query is audited.

Doctor using Clinical AI chatbot Tashka
Clinical AI · RAG Architecture
  • RAG architecture — your data only

    Zero external training. Answers sourced exclusively from your EMR, LIS, and billing records.

  • Role-based context

    Doctors see clinical summaries. Billing sees financial data. Nurses see nursing notes.

  • Patient summaries in under 10 seconds

    Complete clinical picture before ward rounds — labs, vitals, medications, pending discharge.

  • Full audit trail

    Every query, response, and data access logged for compliance and NABH audit.

See Clinical AI Deep Dive →
🤖 Tashka AI · Dr. R. Sharma RAG · Your data only
Summarise Ramesh Kumar before ward rounds
Ramesh Kumar · MRN 00841 · Day 4 IPD
Dx: Acute Appendicitis (K35.89)
Surgery: Laparoscopic — 10-Apr ✓
Vitals: BP 118/76 · Temp 98.4°F · SpO2 99%
Pending: Surgeon discharge clearance
How many patients pending discharge today?
14 patients pending discharge across all wards.
Billing cleared: 9 · Surgeon sign-off: 4 · Pharmacy: 1
✓ Source: IPD, LIS, pharmacy · Audit logged
<10s
Patient summary
Zero
External training
100%
Audit logged
Revenue Cycle Intelligence

Find the Revenue
You're Already Missing.

Tashka's AI scans every clinical event, cross-references your billing records, and surfaces unbilled services, denial patterns, and TPA aging risks — before they become losses.

Hospital administrator reviewing revenue cycle AI dashboard
Revenue AI · Live · Bengaluru
  • Unbilled service detection

    AI cross-checks every prescription, lab order, and procedure against billing records. Zero leakage.

  • Denial pattern prediction

    Flags claims likely to be denied before submission — based on your hospital's own denial history.

  • TPA aging alerts

    Outstanding claims flagged at 15, 30, and 60 days. Never let receivables turn into bad debt quietly.

  • Department-level revenue attribution

    Know exactly which doctor, department, and procedure is generating — and losing — revenue.

See Revenue Intelligence in action →
📈 Revenue Intelligence ● Live
₹4.2L
Found Today
23
Unbilled Items
8
Denial Risks
₹3.2L
TPA Overdue
⚠ AI Alert: 3 unbilled procedures
Priya Sharma · MRN 00922 — Wound dressing × 3, IV line × 1 not billed
📋 Denial Risk: Claim #TPA-8821
Missing severity code — add to prevent Star Health rejection
₹4.2L
Avg recovered/month
25%
Fewer claim denials
15 days
Reduction in A/R days
Healthcare Data Unification

All Your Hospital Data.
One Queryable System.

Tashka connects your EMR, LIS, pharmacy, billing, and PACS into one unified data layer. Every AI feature runs on this foundation — so your clinical AI, coding AI, and revenue AI all share the same single source of truth.

  • FHIR & HL7 native integration

    Connects with 150+ EMR and HIS systems across India without custom engineering.

  • Real-time data pipeline

    Sub-second latency — lab results flow to EPR the moment they're generated in LIS.

  • Privacy-first architecture

    Your patient data never leaves your infrastructure for AI training. Zero external exposure.

  • Complete audit trail

    Every data access, query, and modification is logged with timestamp and user identity.

See data architecture →
Tashka Unified Data Layer
🏥
EPR
🧪
LIS
💊
Pharmacy
💰
Billing
🖼️
PACS
📋
OT / ICU
↕ Real-time sync · FHIR / HL7
🤖 Tashka AI Platform
Medical Coding Clinical AI Revenue Intel
150+
EMR integrations
<1s
Data sync latency
Zero
External data exposure

Everything Hospital Leaders Ask About Clinical Ai Chatbot Hospital India

Detailed answers written for hospital decision-makers — not product brochures. If you're evaluating clinical AI chatbot hospital India for your hospital, these questions cover what actually matters.

How is Tashka's Clinical AI different from using ChatGPT or Gemini in a hospital?

ChatGPT and Gemini are general-purpose language models trained on public internet data. They have no knowledge of your specific patients, your hospital's SOPs, or your billing system. Tashka's Clinical AI uses RAG (Retrieval-Augmented Generation) — it generates answers by searching your hospital's own data sources in real time. It knows that Patient Ramesh Kumar in Ward 3 has pending lab results because it retrieved that from your LIS. ChatGPT cannot do this. Additionally, every Tashka AI response is audit-logged and role-gated — nurses see different information than doctors — which general-purpose AI tools cannot provide. Most importantly, your patient data never leaves your infrastructure to train external models.

What data sources does Tashka Clinical AI access?

Tashka's Clinical AI connects to: EMR/HIS patient records, LIS (lab results and pending tests), Pharmacy dispensing records, PACS/RIS radiology reports (where integrated), Billing and RCM data (for billing status queries), Clinical documents (discharge summaries, OT notes, nursing notes), SOP repositories and knowledge bases, and Administrative data (bed occupancy, census, pending discharges). All data access is permission-controlled and logged. The AI only accesses data that the logged-in user's role is permitted to see — a billing clerk cannot retrieve clinical notes through the AI that they couldn't access directly in the system.

Is Tashka's Clinical AI compliant with India's DPDPA (Digital Personal Data Protection Act)?

Yes. Tashka's Clinical AI is designed to be compliant with India's Digital Personal Data Protection Act 2023 by architecture: Data minimisation — the AI only retrieves data necessary to answer the specific query. Purpose limitation — patient data is used only for clinical care queries within the hospital, not for AI training or commercial analytics. Data localization — patient data remains on your hospital's infrastructure and is not sent to external cloud AI services for processing. Audit trails — every data access is logged with timestamp, user identity, and query content, enabling compliance reporting. Hospitals with specific DPDPA compliance requirements should discuss their needs with Tashka's implementation team during Discovery.

Transform How Your Teams Access Healthcare Data

Deploy conversational AI that fits your clinical workflows — without compromising security, compliance, or patient data sovereignty.

Book a Free Demo💬 Chat on WhatsApp
📧 [email protected] 📞 +91 91081 98087 📍 Whitefield, Bengaluru & Dublin
G2
Rated 5.0 on G2 · Verified by real hospital buyers

Why Hospital Leaders Choose Tashka

Verified reviews from CIOs, CFOs, medical directors, and administrators across India.

R
Rajesh Menon
CIO, Multi-Specialty Hospital Group
G2 Verified Review

"Tashka replaced 4 different vendor systems across our 3 campuses. The data unification alone recovered revenue we didn't know we were losing. Implementation team was responsive throughout."

D
Dr. Priya Nair
Medical Director, Chirag Hospital Bangalore
G2 Verified Review

"The AI chatbot is the feature our doctors use most. Instead of logging into 3 systems before ward rounds, they ask Tashka and get a complete patient summary in under 10 seconds."

S
Suresh Kumar
CFO, Karnataka Hospital Network
G2 Verified Review

"TPA billing used to take our team 3 days every week. With Tashka's automated billing workflows it runs in the background. Claim denials dropped noticeably within the first quarter."

M
Meera Iyer
Hospital Administrator, Soukhyada Hospitals
G2 Verified Review

"We run 6 locations on one Tashka platform. Inventory is centralized, patient records are accessible across branches, and I have a single dashboard view of the entire group. Nothing else offered this."

"The AI chatbot is what our doctors use most. Instead of logging into 3 systems before ward rounds, they ask Tashka and get a complete patient summary in seconds."

Doctor review

"TPA billing used to take our team 3 days every week. With Tashka's automated workflows it runs in the background. Claim denials dropped noticeably in the first quarter."

CFO review

"We run 6 locations on one Tashka platform. Inventory is centralized, patient records are accessible across branches. Nothing else offered this at our scale."

Administrator review

"Billing used to be a two-day process after discharge. With Tashka's auto-billing from clinical events, we close accounts the same day. Claim denials dropped in Q1."

Finance head review

"Implementation was smooth. Templates configured, legacy data migrated, live in under 6 weeks. Post go-live support is responsive and genuinely helpful."

Medical superintendent review