AI for Leaders

Impact of AI across Healthcare and Pharma Ecosystem​

AI is a transformative wave in Healthcare, Pharma, Surgeries and Patients Engagement. It is heralding a new era of precision, efficiency and personalised care, elevating the overall standard care.

The Healthcare sector promises enhanced patient outcomes, streamlined operations, and innovative treatments, ultimately transforming the way we approach health and wellness on a global scale. While, the Pharma sector is leveraging AI for faster drug discovery development and tailored therapeutics, significantly reducing time to market.

It’s time to lead with foresight, ensuring AI’s role in Healthcare and Pharma fosters a universally beneficial, equitable, and patient-centric future. 

Are you ready to harness the power of AI and reinvent your business?

Impact of AI in Healthcare

Diagnostic Devices

  • Medical imaging diagnosis – Identifying and tracking progression of diseases like Alzheimer’s, Pulmonary diseases
  • Medical imaging analysis – Pathology, radiology and ultrasonography
  • Digitalised laboratory data analysis
  • Self-Care, prevention and wellness devices
  • AI-based screening: Early disease detection and management

Digital Therapeutics

  • Personalised treatment plans
  • Virtual health assistants
  • Data driven insights for disease management
  • AI-enabled nano medicine
  • Cognitive Behavioral Therapy (CBT) and mental health support
  • Tailored recommendations: Optimised from usage pattern

Robotic and AI-Assisted Surgeries

  • Image-guided surgery
  • Real time image analysis – Critical structures and blood loss assessment
  • Predictive analytics for surgical outcomes
  • Prediction of long-term prognosis for Traumatic Brain Injury (TBI) management
  • Enhanced surgical training and navigation
  • Gen AI for global submissions (country-specific regulations)

Impact of AI in Pharma

  • Precision targeting: Segmenting patients for preventive interventions
  • Drug discovery and development
  • Predictive analytics for drug development
  • Clinical trial optimisation
  • De-biasing of clinical trial data and toxicity Studies
  • Quality control and assurance

Impact of AI in Patient Experience

Patient Care

  • Virtual health assistants
  • Mental health support
  • Predictive health analytics
  • Remote monitoring and telehealth
  • Disease progression and recovery monitoring

Education and Training

  • Immersive product / disease training and education
  • Virtual patients, staff training and simulations
  • Remote training and collaboration – AR/ VR/ MR
  • NLP for research and learning
  • Surgical video tagging and searchable videos

Impact of AI in Hospitals

  • Enhanced care experience: Analysing patient feedback for sentiment analysis
  • Diagnostic assistance and clinical decision support
  • Patient triage and virtual health assistants
  • AI-assisted volume screening
  • Smart EHR (Electronic Health Records)
  • Voice-assisted ER (Emergency Room) protocol compliance

Impact of AI in Regulatory

  • Regulatory compliance: Automated clinical documentation, FMEA analysis, accuracy prediction
  • Gen AI-based PFAS identification and impact analysis
  • Automated GSSD maintenance
  • Gen AI-based regulatory action impact analysis
  • Pharmacovigilance and drug safety
  • Gen AI-enabled post market surveillance report creation