4 min. read Enabling AI in personalized healthcare at scale

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.

Challenges of GenAI in healthcare

  • 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.

NBA Logo 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 Logo 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 Logo 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.

Role of data & analytics in alleviating health inequities

The COVID-19 pandemic and the resulting global recession caused a significant increase in poverty around the world as many families lost their sources of income. The poorest families, especially those without access to social protection, were hit the hardest. As a result, the World Health Organization urged governments and health organizations to pay attention to the social determinants of health to take steps to optimize community well-being.

Social determinants of health (SDOH) are any of a variety of non-medical factors that influence health outcomes. They encompass the conditions in which people are born, grow, live, learn, work, play, worship, and age — shaping their overall health. These factors include attributes associated with one’s environment, patterns of social engagement, and one’s sense of security and well-being. Collectively, SDOH influences health, working life conditions, and quality of life.

In this article, we’ll discuss how social determinants of health impact overall wellness across populations, including disparities in healthcare, and the role data can play in alleviating these inequities and shaping healthcare outcomes.

Social determinant factors

Patients’ health depends not only on the care they receive in a provider’s office but also on social determinants of health such as individual lifestyle choices, living situation, and access to healthy food.

According to a study by the CDC, social determinants of health fall into five broad groups:

HIMSS Illustration

 

 

Key benefits of studying social determinants

Addressing social determinants is important for improving health and reducing health disparities. Understanding social factors gives valuable insight into possible negative health outcomes for patients in many domains. Below are the key benefits of studying social determinants of health.

Holistic healthcare: Incorporating social determinants into healthcare practices fosters a more holistic and comprehensive approach to patient care. For instance, factors such as a patient’s education, income level, and environment should be considered when providing treatment and care.

Addressing health inequities: Social determinants have an important influence on health inequities – the unfair and avoidable differences in health status seen within and between countries.

Resource development: Acknowledging social determinants can initiate the development of resources to solve inequality and strengthen the overall health of the community.

Influencing health outcomes: Research shows that social determinants can be more important than healthcare or lifestyle choices in influencing health outcomes.

The impact of social determinants of health

Social determinants of health have a significant impact on people’s health, well-being, and quality of life. A growing body of research indicates:

  • Children born to parents who haven’t completed high school are more likely to live in environments that contain barriers to health.
  • Poor individuals who are white are less likely to live in areas of concentrated poverty than poor racial and ethnic minorities.
  • As income decreases, the likelihood of premature death increases.
  • There is a direct link between the likelihood of smoking, shorter life expectancy, and lower income.
  • The environment in which an individual lives may impact future generations.
  • Stress related to disparities has a direct link to health and often results from overlapping factors.

Negative social determinants of health can lead to disparities in healthcare, which can be costly and inhibit the overall quality of care and population health. This can result in added healthcare expenses, loss of productivity, and premature death. According to the Kaiser Family Foundation, 30% of direct medical costs for black, Hispanic, and Asian Americans are unnecessary costs incurred due to inefficiencies, disparities, or inequities in the healthcare system. In addition, the US economy loses an estimated $309 billion annually due to the direct and indirect costs of disparities.

Role of data & analytics in alleviating healthcare inequities

Barriers like a lack of data standards and costly datasets can hinder an organization’s access to social determinants information. However, developing an approach for more holistic patient care will be necessary for organizations looking to improve patient and population health, whether the data is complete or not.

Data and analytics are vital in helping to end these disparities and ensuring that all populations have the same access to services and care, not only for COVID-19 but also for all diseases and disorders that threaten public health.

Through data analytics and population health management, providers can improve patient outcomes, enhance care management, and address social determinants of health. Nowadays, data analytics are helping providers replace the “one size fits all” care mentality to deliver value-based care. Providers can assess which processes are the most effective methods for wellness and prevention within value-based care models. With population health management, organizations can consider physical and social determinants of health that may impact individuals and focus on “well care” rather than waiting for a patient to become ill.

Building a better healthcare system with Fractal

Health disparities and inequities are shaped by a multitude of factors in an individual’s socio-economic and healthcare journey. The health outcomes of an individual are significantly influenced by social determinants of health of the community in which they reside.

Fractal’s RAISE, powered by AWS, is an AI-powered solution that helps organizations speed up population health and health equity journeys. RAISE combines a member’s community data with clinical and social needs, assisting organizations in crafting the right interventions. It also creates a multifaceted approach involving data, analytics, and AI to advance health equity. It helps identify the drivers of inequities and disparities that are specific to the members of the organization.

AWS equips Fractal’s AI/ML solutions with the scalability, reliability, and security needed to deliver its solutions to healthcare providers and patients worldwide. By leveraging AWS, Fractal is helping to make a real difference in the lives of people affected by health inequities by supporting community-based healthcare organizations, advocating for policies that address the social determinants of health, and promoting health education and literacy.

Fractal recently led an on-demand webinar in collaboration with the Healthcare Information and Management Systems Society (HIMSS) to discuss health inequities. It explained how Fractal has been solving various healthcare-related issues using advanced AI/ML solutions.

The webinar featured Fractal’s Chief Practice Officer, Matt Gennone, and Dr. David Nash, an advisor at Fractal. They discussed the economic impact of health inequities and delayed care and how healthcare can return to its “true north” of providing high-quality care.

To know more, watch this session.

Contact us to learn more.