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What happens when healthcare systems can no longer manually keep up with the scale of data being generated every second?

Can clinical decisions, hospital workflows, and patient management continue relying on traditional systems when AI is reshaping how information is captured, processed, and acted upon?

Healthcare is entering a new phase where AI driven health informatics is becoming the backbone of efficient, intelligent, and scalable care delivery.

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Intelligent Clinical Systems

AI is enabling healthcare professionals to translate complex patient data into real-time clinical insights, supporting faster and more informed decisions.

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Workflow Intelligence in Healthcare

AI is reducing administrative load, automating routine processes, and improving coordination across healthcare systems for better efficiency and care delivery.

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WHY THIS TRACK AT HAI CONCLAVE 2026?

Healthcare systems are evolving rapidly under the pressure of rising data volumes, complex clinical workflows, and the need for faster, more accurate decision-making. AI in health informatics is becoming the foundational layer that enables this shift by connecting data, systems, and clinical intelligence.

According to MarketsandMarkets, the AI Virtual Medical Assistants market is projected to grow from USD 1.32 Billion (2024) to USD 8.85 Billion (2030) at a CAGR of 36.6%, reflecting the accelerating adoption of AI across healthcare operations and informatics systems.

As this transformation gains scale, HAI Conclave 2026 brings together leaders to explore how intelligent, data-driven healthcare systems are being built for the future.

  • Clinical decision support powered by AI-driven insights
  • Workflow automation across healthcare operations
  • Smarter healthcare data integration and interoperability
  • Scalable, intelligent health informatics systems
WHAT THIS TRACK COVERS?

01

Clinical Decision Support Systems

Explore how AI helps clinicians interpret patient data, identify patterns, and support accurate, evidence-based decisions in real time.

02

Intelligent Workflow Automation

Understand how AI is streamlining hospital operations, reducing manual effort, and improving efficiency across clinical and administrative processes.

03

Virtual Medical Assistants & Patient Systems

Learn how AI driven assistants are transforming patient engagement, triage, documentation, and access to healthcare services.

04

Healthcare Data Integration & Informatics Infrastructure

Discover how interoperable systems and AI powered platforms are enabling unified healthcare ecosystems and better data utilization.

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36.6% CAGR

Growth of AI Virtual Medical Assistants market

USD 8.85B

Projected market size by 2030

Accelerating Adoption

Across hospitals, digital health platforms, and healthcare systems globally
SPEAKERS
Arvind Raman
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Mr. Arvind Raman

Microsoft

Bhoopendra Solanki
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Bhoopendra Solanki

Sakra World Hospital

Chinmaya G. D. S
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Mr. Chinmaya G. D. S

HealthCare Global

Mike Schaekermann
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Mr. Mike Schaekermann

Google

Nandkishore Dhomne
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Nandkishore Dhomne

Manipal Hospitals

Naman Kothari
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Mr. Naman Kothari

MedAI - NASSCOM Centre of Excellence

Pratik Kumar Mitra
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Dr. Pratik Kumar Mitra

HCG Cancer Centre

Rajesh Arasu
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Rajesh Arasu

HealthFoundry.ai

Ramya Dwivedi
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Dr. Ramya Dwivedi

IIT Madras

Rustom Lawyer
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Rustom Lawyer

Augnito

Sandeep Gudibanda
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Sandeep Gudibanda

HealthPlix

Sanjeev Malhotra
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Dr. Sanjeev Malhotra

Centre of Excellence for IoT & AI, NASSCOM

Shantanu Gaur
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Dr. Shantanu Gaur

MedAI - NASSCOM Centre of Excellence

Sudha Chandrashekhar
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Dr. Sudha Chandrashekhar

Swasti - Health Catalyst

Vaibhav Prakash
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Vaibhav Prakash

BHIO

Vikram Patil
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Dr. Vikram Patil

JSS AHER

Vikalp Sahni
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Mr. Vikalp Sahni

Eka Care

Vinod Raman
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Dr. Vinod Raman

QCIL Hospitals

Abhinav Johri
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Abhinav Johri

EY

Aditya Mishra
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Aditya Mishra

NeuroDX

Alok Dhawan
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Prof. Alok Dhawan

ICMR Distinguished Scientist Chair

Ankur Dhandaria
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Ankur Dhandaria

EY-Parthenon

Ashwin Amarapuram
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Ashwin Amarapuram

Aikanist Technologies

Deepak Tuli
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Deepak Tuli

Eka Care

Gaurav Srivastava
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Gaurav Srivastava

KaaXpert

Manisha Kumar
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Ms. Manisha Kumar

HealthCare Global

Raghuvamshi Thakur
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Raghuvamshi Thakur

Prodoc

Ravinder Singh
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Mr. Ravinder Singh

Tech Mahindra

Vivek Rajagopal
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Mr. Vivek Rajagopal

Narayana Health

FAQ SECTION

AI is enabling smarter management of healthcare data, improving clinical workflows, and supporting faster, more accurate decision-making across systems.

They are AI powered systems that support clinical documentation, patient interaction, scheduling, triage, and workflow automation in healthcare environments.

AI reduces administrative burden, automates repetitive tasks, and allows healthcare teams to focus more on patient care and clinical outcomes.

Healthcare leaders, clinicians, hospital administrators, digital health professionals, AI researchers, innovators, and policymakers shaping healthcare systems.