Clinical 360

What if every minute spent on documentation, data entry, or system navigation could instead be spent at the patient’s bedside? At Techrobotica, we believe the future of healthcare isn’t just about advanced medicine—it’s about empowering caregivers to focus on care, not clerical work.

From automating EHR entries and voice-to-text clinical notes to integrating siloed systems and maintaining real-time compliance, Medical 360 delivers hyperautomation to every corner of the care continuum. Our platform seamlessly connects people, data, and processes—reducing manual effort, minimizing errors, and accelerating workflows without sacrificing accuracy or compliance. We don’t just provide healthcare technology—we orchestrate intelligence across the patient lifecycle.

Clinical 360 at a glance

Clinical 360 is the easiest way that Techrobotica turn complexity into care—so your healthcare heroes can spend less time managing processes and more time healing people.

RAG Based Use Cases

Clinical Documentation Automation

Intelligent Actions

Dictation Assist

Query Answering

Instructions Generator

Coding & Billing Automation

Real-Time Alerts

Patient Summary

Clinical Documentation Automation

Workflow: Pull patient history, medications, diagnoses from EMR → Augment prompt for LLM → Generate SOAP notes or visit summaries.

Value: Saves clinician time, improves accuracy, and ensures context-aware documentation.

Intelligent Chart Review & Pre-Visit Planning

Workflow: Retrieve historical lab results, past visits, flagged conditions → Feed as structured context to LLM → Summarize key issues for upcoming visit.

Value: Enhances pre-visit efficiency and reduces risk of missed conditions

Voice-to-Structured Notes (Dictation Assist)

Workflow: Doctor speaks → Voice transcribed → RAG model enriches using patient-specific metadata from Boss Catalog → Outputs structured EMR-ready text.

Value: Reduces manual typing, ensures high-quality and compliant records.

Clinical Query Answering for Providers

Workflow: Physician asks a medical query → LLM pulls patient-specific structured data + clinical guidelines → Returns contextual, governed answer.

Value: Decision support in real time, grounded in approved sources and patient history.

Patient Discharge Instructions Generator

Workflow: Retrieve medication list, treatment plan, recent vitals → Use RAG to generate layman-friendly discharge instructions.

Value: Enhances patient understanding and post-care compliance.

Clinical 360

Elevating Care Through Intellligent Automation

Clinical 360

Clinical 360 at a glance

RAG Based Use Cases

Clinical Documentation Automation

Workflow: Pull patient history, medications, diagnoses from EMR → Augment prompt for LLM → Generate SOAP notes or visit summaries.

Value: Saves clinician time, improves accuracy, and ensures context-aware documentation.

Intelligent Chart Review & Pre-Visit Planning

Voice-to-Structured Notes (Dictation Assist)

Workflow: Doctor speaks → Voice transcribed → RAG model enriches using patient-specific metadata from Boss Catalog → Outputs structured EMR-ready text.

Value: Reduces manual typing, ensures high-quality and compliant records.

Clinical Query Answering for Providers

Workflow: Physician asks a medical query → LLM pulls patient-specific structured data + clinical guidelines → Returns contextual, governed answer.

Value: Decision support in real time, grounded in approved sources and patient history.

Patient Discharge Instructions Generator

Workflow: Retrieve medication list, treatment plan, recent vitals → Use RAG to generate layman-friendly discharge instructions.

Value: Enhances patient understanding and post-care compliance.

Coding & Billing Automation

Workflow: Extract diagnosis, procedure notes → Augment with relevant payer rules from metadata → Generate ICD/CPT codes.

Value: Increases claim accuracy and reduces denials.

Real-Time Clinical Risk Alerts

Workflow: RAG pipeline pulls structured EHR data (e.g. vitals, labs) + risk models → Generates LLM summary with risk flag.

Value: Enables earlier intervention in high-risk patients.

Patient 360 Summarization

Workflow: Retrieve longitudinal data (labs, notes, imaging summaries) → RAG + LLM create a concise narrative for handoffs or referrals.

Value: Streamlines communication across departments or providers.

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Clinical 360

Elevating Care Through Intellligent Automation

Clinical 360

Clinical 360 at a glance

RAG Based Use Cases

Clinical Documentation Automation

Workflow: Pull patient history, medications, diagnoses from EMR → Augment prompt for LLM → Generate SOAP notes or visit summaries. Value: Saves clinician time, improves accuracy, and ensures context-aware documentation.

Intelligent Chart Review & Pre-Visit Planning

Voice-to-Structured Notes (Dictation Assist)

Workflow: Doctor speaks → Voice transcribed → RAG model enriches using patient-specific metadata from Boss Catalog → Outputs structured EMR-ready text. Value: Reduces manual typing, ensures high-quality and compliant records.

Clinical Query Answering for Providers

Workflow: Physician asks a medical query → LLM pulls patient-specific structured data + clinical guidelines → Returns contextual, governed answer. Value: Decision support in real time, grounded in approved sources and patient history.

Patient Discharge Instructions Generator

Workflow: Retrieve medication list, treatment plan, recent vitals → Use RAG to generate layman-friendly discharge instructions. Value: Enhances patient understanding and post-care compliance.

Coding & Billing Automation

Workflow: Extract diagnosis, procedure notes → Augment with relevant payer rules from metadata → Generate ICD/CPT codes. Value: Increases claim accuracy and reduces denials.

Real-Time Clinical Risk Alerts

Workflow: RAG pipeline pulls structured EHR data (e.g. vitals, labs) + risk models → Generates LLM summary with risk flag. Value: Enables earlier intervention in high-risk patients.

Patient 360 Summarization

Workflow: Retrieve longitudinal data (labs, notes, imaging summaries) → RAG + LLM create a concise narrative for handoffs or referrals. Value: Streamlines communication across departments or providers.

Workflow: Pull patient history, medications, diagnoses from EMR → Augment prompt for LLM → Generate SOAP notes or visit summaries.

Value: Saves clinician time, improves accuracy, and ensures context-aware documentation.

Workflow: Doctor speaks → Voice transcribed → RAG model enriches using patient-specific metadata from Boss Catalog → Outputs structured EMR-ready text.

Value: Reduces manual typing, ensures high-quality and compliant records.

Workflow: Physician asks a medical query → LLM pulls patient-specific structured data + clinical guidelines → Returns contextual, governed answer.

Value: Decision support in real time, grounded in approved sources and patient history.

Workflow: Retrieve medication list, treatment plan, recent vitals → Use RAG to generate layman-friendly discharge instructions.

Value: Enhances patient understanding and post-care compliance.

Workflow: Extract diagnosis, procedure notes → Augment with relevant payer rules from metadata → Generate ICD/CPT codes.

Value: Increases claim accuracy and reduces denials.

Workflow: RAG pipeline pulls structured EHR data (e.g. vitals, labs) + risk models → Generates LLM summary with risk flag.

Value: Enables earlier intervention in high-risk patients.

Workflow: Retrieve longitudinal data (labs, notes, imaging summaries) → RAG + LLM create a concise narrative for handoffs or referrals.

Value: Streamlines communication across departments or providers.