Healthtech and Pharmatech Summit 2023

Healthtech and Pharmatech Summit 2023

A Step towards Advancing Digital Technology and Transformation in Healthcare

By integrating AI and embracing digital transformation in healthcare and medical education, Vydehi Institute of Medical Sciences and Research Centre (VIMS) aims to revolutionize healthcare services, enhance operational efficiency, and drive innovation. Our goal is to establish a more effective and sustainable healthcare academy.

Program Highlights

Vasa in association with Dalvkot Industries has organized the HealthTech and Pharmatech summit 2023 on 27th July 2023 at Bengaluru. This one-day mega summit brought together all the esteemed industry experts, researchers and scholars under one roof to exchange their revolutionary thoughts on the upcoming changes and opportunities this industry has to offer.

The summit showcased the opportunities for advancing methods in innovative solutions and their impact across healthcare & medicine. The audience discovered ML tools & techniques set to revolutionize healthcare applications, medicine & diagnostics from an eminent line-up of experts. It was a unique opportunity to interact with industry leaders, data scientists, founders, CTOs and healthcare professionals leading the AI revolution.

The integration of data science, Analytics, AI, and ML in Healthtech and Pharmatech is transforming the landscape of healthcare and pharmaceutical industries. These technologies enhance predictive capabilities, personalize treatments, streamline clinical trials, and optimize supply chains, ultimately leading to improved patient outcomes and more efficient healthcare systems.

Initiative Focus Areas

  • Hospital Readmission Prediction:Predicting the likelihood of hospital readmissions within decided days of discharge to enable preventive measures.
  • Custom Cancer Treatment:Tailoring cancer treatment plans according to the genetic mutations found in a patient’s profile.
  • Early Disease Detection: Early detection of diseases like cancer, Alzheimer’s, or cardiovascular conditions using imaging data.
  • Comprehensive CDSS Features: Developing an AI-driven Clinical Decision Support System (CDSS) that suggests potential diagnoses based on patient symptoms and laboratory results, integrating patient data, providing diagnostic assistance, recommending treatments, and optimizing workflows.
  • Improved Virtual Reality Surgical Training: Using virtual reality simulations for surgical training to offer real-time feedback and performance evaluation.
  • Enhanced Telehealth Support: Implementing AI-powered symptom checkers to aid patients during telehealth consultations, providing preliminary diagnostics to doctors.


    Moving forward, the key to enhancing operational decision-making will be the ability to leverage digital transformation.

AI and Data Science Team & Key speakers

“How Digital Transformation is redefining the Pharmaceutical & Healthcare industry”

Madhavi Lakkakula

Data Scientist and Digital Transformation Expert, Aspire, Qatar

The COVID-19 pandemic has significantly accelerated the digitization of healthcare, reshaping consumer preferences, advancing technological capabilities, and driving clinical innovation. To effectively transform healthcare, hospitals must adopt a well-defined digital strategy that integrates AI and ML. AI-driven automation can streamline administrative tasks such as patient scheduling, billing, and resource management, reducing operational costs and improving efficiency . Investing in ongoing research and development to keep pace with technological advancements and evolving healthcare needs.

Tesmic Jeffin

Data Scientist, Infosys, India

Artificial Intelligence simplifies the lives of doctors, patients and hospital admins by doing tasks that are usually done by humans at a fraction of cost and in less time. AI provides a number of advantages over clinical decision-making and traditional analytics. Learning algorithms can become more accurate and precise when they interact with training data. It allows humans to gain unprecedented insights into care processes, treatment variability, patient outcomes and diagnostics.

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