5 ways Generative AI is reshaping Healthcare decision making

Matteo Togninalli

Co-Founder and COO at Visium

Emilie Gueissaz

Principal Innovation Consultant

Bryan Berger

Business Director Healthcare

Table of content

Harnessing GenAI for data-driven healthcare decisions, from personalized treatment plans to virtual consultations.

In the dynamic landscape of healthcare, Generative AI has emerged as a game-changer for data-driven decision-making. When paired with a thoughtful data & AI strategy, this cutting-edge technology has the potential to revolutionize many processes for healthcare providers, payors, and patients. 

Concrete examples harness the power of generative models to analyze patient data and create personalized treatment plans, provide real-time medical advice, extract clinical insights, monitor health remotely, and enhance medical imaging interpretation. In this blog post, we’ll dive into five groundbreaking Generative AI use cases that are revolutionizing decision-making in healthcare.

Each case will be explored from both a business and technical perspective, shedding light on why it holds a crucial place in the industry.

1. Virtual Empowerment: AI-Enhanced Virtual Consultations

Generative AI-driven virtual consultations utilize patient data and AI algorithms to provide personalized, real-time medical advice, enhancing accessibility and convenience.

Example: Teladoc.

Business rationale

Technical considerations

2. Precision Care Pathways: Tailored Treatment Plans with Generative AI

Specialized Medical Large Language Models (LLMs) will create customized treatment plans by analyzing individual patient data, including medical history, genetic information, and lifestyle factors. This enables healthcare providers to deliver targeted and effective care while focusing on the patients.

Example: Google Med-PaLM

Business rationale

Technical considerations

3. Intelligent Insights: NLP-Driven Clinical Narratives

Generative AI-powered Natural Language Processing (NLP) processes unstructured clinical data to extract valuable insights, enabling healthcare providers to  focus on care while making data-driven decisions.

Examples: Nabla, Abridge, Suki

Business rationale

Technical considerations

Nabla generative AI healthcare
Nabla AI

4. Proactive Health Monitoring: AI-Driven IoT Insights

Generative AI enhances IoT-driven remote monitoring by analyzing real-time patient data to provide personalized insights and intervention recommendations.

Example: Whoop Coach, powered by OpenAI

Business rationale

Technical considerations

5. Imaging Solutions: AI-Enhanced Medical Imaging Interpretation

Generative AI revolutionizes medical imaging interpretation by providing enhanced insights and diagnostic support, aiding healthcare providers in making accurate assessments.

Example: Siemens Healthineers and GE HealthCare

Business rationale

Technical considerations

A monumental shift towards precision, efficiency and patient-centric care

The integration of Generative AI technologies into healthcare decision-making represents a monumental shift towards precision, efficiency, and patient-centered care.

Precision Care Pathways, Virtual Empowerment, Intelligent Insights, Proactive Health Monitoring, Creative Imaging Solutions, and Advanced Medical Imaging Interpretation empowered by Generative AI are at the forefront of this transformative wave.

Understanding their business and technical implications empowers healthcare providers to unlock their full potential, driving positive outcomes for patients and organizations alike.

Transforming this understanding into a concrete action plan requires incorporating strategy, architecture, and implementation considerations. Embracing these advancements is not only a strategic move but also a critical step towards a more sustainable and innovative healthcare future.

Reach out to us and let’s have a chat about how your business can leverage the power of generative AI in healthcare.