The medical field has always been at the forefront of innovation, constantly seeking new ways to improve patient care. AI is reshaping industries, with the healthcare sector leading the way in harnessing Generative AI for drug discovery and personalized healthcare practices. But how exactly is it changing healthcare? In this article, we will explore the future of healthcare with Generative AI and how companies like Fractal leverage AWS to transform healthcare.

Role of GenAI in the healthcare industry

The healthcare industry is one of the most heavily regulated industries in the world. Developing new drugs and enabling new healthcare practices is a lengthy and expensive process that requires extensive testing and approval from regulatory bodies such as the Food and Drug Administration and the Department of Health and Human Services. However, generative AI has the potential to revolutionize the healthcare process by reducing the time and cost required to bring a new healthcare practice to market.

Personalizing the data to decision journey with GenAI

From targeted marketing campaigns to customized healthcare diagnoses, GenAI personalizes the data journey and enables the data to generate insights and provide real-time data-driven decisions.

• Turning mountains of data into gold: AI shifts through vast clinical trials and research papers, unearthing insights and connections humans might miss. These insights empower quicker drug discovery, more effective healthcare practices, identification of promising therapies, and optimized trial design.
• Personalizing the patient journey: Imagine an AI assistant crafting targeted care plans, explaining treatments in plain language, and even helping patients find financial assistance. Generative AI puts the power of knowledge in patients’ hands, empowering them to make informed decisions.
• Marketing that’s more magic than medicine: AI helps craft personalized messages for healthcare professionals, predicting future trends and empowering data-driven strategies. By offering transparent patient data and crafting personalized care plans, AI ensures the right information reaches the right people for optimal treatment outcomes.

GenAI can accelerate time to delivery in core business processes. It also helps improve product availability and increase product yield. For example, one use case in clinical trial operations involves the creation of protocols and related study documents. The large language model (LLM) can generate initial protocols and documents that fit the purpose by providing sufficient information as input to a LLM. This approach actively reduces the time required to create and revise documents such as legal agreements, patient reports, contracts, etc., ultimately accelerating trial launch.

GenAI allows healthcare companies to access insights more quickly, benefiting the entire company’s supply chain, including research, trials, manufacturing, and commercialization. This enables faster decision-making, ultimately leading to improved product availability.

Challenges of GenAI in the healthcare industry

While Generative AI has enormous potential in healthcare, it has challenges. It is essential for healthcare companies to carefully evaluate these challenges and ensure that they have the necessary resources and expertise to implement this technology successfully. Addressing these challenges necessitates a multidisciplinary approach involving experts in AI, healthcare research, regulatory affairs, and data privacy.

• Data quality: Poor quality data can lead to incorrect models and inaccurate predictions.
• Regulatory compliance: Generative AI in healthcare may require regulatory approval, which can be time-consuming and costly.
• Ethical concerns: The main concern is the potential misuse of Generative AI to create new drugs without proper testing and evaluation. Another drawback is the use of Generative AI to create drugs that are only effective for specific demographics, which can lead to inequality in access to healthcare.
• Validation and accuracy: Establishing robust validation methodologies specific to the healthcare domain can be complex and time-consuming.
• Personalized recommendations: Creating effective strategies and transparent patient treatment plans needs expertise in creating a holistic view of the customer’s journey, which is time-consuming and requires a dedicated workforce to achieve it.

Fractal’s Gen AI solutions in action

Currently, most healthcare companies deploy market intelligence analysts to mine information for insights, which can take time to retrieve information, incurring operational costs.

Our GenAI solutions are helping the healthcare industry automate their workflow, saving time and energy and reducing costs.

These are Fractal’s solutions, which use AWS services to transform healthcare.

	Next Best Action is an AI-powered B2B and B2C automated omnichannel orchestration engine that delivers personalized recommendations for healthcare clients. The solution integrates with data platforms like Cassandra and CRMs like Salesforce and Veeva to generate weekly recommendations automatically, creating a holistic view of customers’ journeys.
	Patient Jarvis is an AI-powered tool that helps the sales team develop effective strategies, provides transparent patient treatment information, and helps create personalized care plans. It overcomes data format issues to ensure accurate information, leading to better care plans.
	GenAI tagging serves as a transformative force in healthcare content analytics and personalization. Integrating rapid manual tagging and AI-generated descriptive metadata ensures data integrity and streamlines analytics through strategic data warehouse integration. The platform addresses challenges in maintaining efficiency and accuracy when scaling to diverse markets and content volumes.

Check out other GenAI-powered Fractal solutions for the Healthcare industry on the AWS Marketplace.    

Unlocking AWS and Fractal partnership to scale healthcare industry

Fractal and AWS work together to leverage their combined strengths in the healthcare industry, tackling complex business challenges across marketing, sales, supply chain, and more.

The healthcare industry has been facing challenges in reaching out to its target audience. With AWS services, Fractal delivers personalized marketing messages to their customers at the right time and in the right place.

Using AWS services, Fractal is changing the game in the healthcare industry by improving marketing effectiveness, reducing costs, and enabling companies to comply with regulatory requirements. Its unmatched reliability, security, and data privacy make it a trusted technology and innovation partner to the global healthcare and life sciences industry.

The COVID-19 pandemic has accelerated the trend towards virtual health, and this trend is expected to continue in the future. AWS services can help healthcare companies deliver virtual health services and stay ahead of the curve.

Contact us to get started!

Learn how we leveraged Fractal’s Next Best Action to enhance productivity for a global healthcare firm in this case study.