Unlocking the Future: How Life Sciences Companies Should Embrace Generative AI

Pharmaceutical, biotech, and clinical research organization (CRO) companies increasingly recognize the role of artificial intelligence (AI) and its branches, like generative AI, in areas such as accelerated drug delivery, streamlining clinical trial processes, documentation, and improving patient outcomes. However, generative AI adoption by these entities requires careful planning and execution to ensure that the technologies safely and responsibly achieve their full potential. Unlocking the Future: How Life Sciences Companies Should Embrace Generative AI.

Leadership Adoption and Vision

Any major undertaking by pharmaceutical, biotech, and CRO firms, or any other sector in general, requires aligning and gaining the approval of the company’s leadership on the strategic vision and objectives behind technological adoption. Senior executives need to understand how generative AI can fit within their organizational priorities, covering areas like quality, experience, and cost. Therefore, if the company senior leadership is not sufficiently informed about the potential benefits their companies could yield from adoption, a significant game-changing add-on to their workflow could be easily missed.

Assessing the Company’s Data Landscape

Before seeking technologies to automate certain operations within a life sciences company, the existing data infrastructure flow, quality, governance, and other characteristics must be assessed. Why is this important? Because even the best tools and solutions out there won’t help businesses if the data quality is poor (this is known as “garbage in, garbage out”). Information gaps, inconsistencies, and other factors would undermine the benefits of adopting certain technologies related to generative AI and automation. Also, considerations related to data privacy require companies to seek solutions that uphold optimal privacy practices while delivering the best quality results.

Pilot Use Cases

For companies to gain trust in the potential applicability of generative AI across functions and departments, pilot and small use cases could help demonstrate value without any risks. For example, many of our life sciences clients adopted Narrativa’s patient narratives solution after a pilot use case. This is because use cases help companies acquire trust in our solutions to cascade it across multiple trials and therapeutic areas. At the same time, companies could define key performance indicators (KPIs) to quantify the pre- and post-pilot program outcomes. This is what our clients do to ensure that our solutions help their organizations grow and operate as efficiently as possible. This way, consistent performance will be guaranteed when a solution is tried and implemented.

Change Management

Generative AI stands to add value across multiple departments and functions within an organization. Therefore, it is important that management first understands the benefits and communicates the value to their staff. This part is important to ease people’s fears about their jobs. In other words, change management supports the adoption of AI tools and solutions by end-users whose needs directly inform meaningful AI tool design.

Seeking Providers with Training Experience

When selecting a solution provider, it is vital to choose one that gives the end users hands-on training, like Narrativa. Technology companies that provide generative AI solutions should help train the company’s staff on how to use the tools and present the expected value behind implementing them. This is especially important for solution providers, including Narrativa, that host their own platforms. This is why we provide comprehensive training to new users on how to harness the full potential of our platform in a way that positively impacts their work.

Monitoring and Oversight of Processes

Monitoring and correcting errors from processes that occur during the early phases of solution implementation is critical for the success of the generative AI tool at an organization. This is why a discovery phase is important, where the solution provider learns the business needs and expected results from the tools used by life sciences and CRO organizations. In addition, such a phase should be of suitable duration in a way that allows the solution provider to capture the full breadth of a use case without causing delays in the testing and implementation phases. This is one of Narrativa’s  unique advantages; a short-term discovery phase helps users experience outcomes that exceed their expectations. For example, if a client chooses a patient narrative solution, the discovery phase will revolve around adopting the solution to the client’s template, writing style, and tone, among other considerations.

Cost-benefit Analysis

When an organization decides to adopt a new technology on behalf of a business unit, factors like data expenses, integration costs, and how such benefits would offset solutions-related costs should be analyzed. These can directly impact productivity gains, operational efficiency, and future cost avoidance. Moreover, the life sciences organization should also consider whether one solution provider adds more value than having separate vendors for each tool.

These are areas where Narrativa can add more weight. For example, our regulatory documentation solutions cover the entire spectrum of document generation, from the creation of Tables, Listings, and Figures (TLFs) to clinical study reports (CSRs) as well as the submission part, where our anonymization and redaction solution is incredibly useful.

Seeking Collaborative Solutions Providers

Generative AI used in clinical research requires that life sciences companies seek partners that continuously refine their products through bidirectional feedback. Why is this important? As the clinical research landscape continues to evolve, so do life sciences companies. Therefore, incorporating a solution that proves continually useful helps all parties involved.

At Narrativa, we always seek feedback from our clients, which has helped us create new solutions and add many features to our existing ones. For example, the initial version of our automated patient narratives solution was used to generate complete text narratives in its early stages. With feedback from our clients, we added a quality control check within the tool that helps medical writers know which information came from what part of the database and why it was put in such a way. Also, it helps them detect inconsistencies and errors in these databases. Our solution streamlines workflow; the medical writer has all the information needed in one interface, improving efficiency, speed of delivery, and quality.  

Narrativa: Your Generative AI Adoption Partner

Narrativa is a leading generative AI company that provides solutions across multiple industries, like life sciences, marketing, finance, and entertainment. With a portfolio of clients, such as TCS, the Leukemia and Lymphoma Society, Microsoft, and The Wall Street Journal, we have the trust of the leading organizations across the globe.  

Our diverse and growing set of automated and generative AI-backed tools for the life sciences industry, such as patient narrative generation, CSR creation, TLF automation, and the redaction solution, help your organization support its medical writers, biostatisticians, and statistical programmers. Our tools don’t require any coding or programming experience, so after just a few clicks, teams can generate what they need quickly. This way, your highly skilled professionals are freed to focus on the higher-value, non-routine tasks and projects that require their creative input.

Narrativa is the best partner for your organization because it is a one-stop solution provider that covers multiple critical phases in the regulatory documentation process, from the early stages of TLF creation to the submission to health authorities and subsequent release to the public. We also support our life sciences partners in their quest to find more creative ways to utilize our solutions to improve the conduct of their clinical trials. For instance, our clients use our quality control and assurance measures to validate information while clinical trials are being conducted and before database lock to avoid missing, incorrect, or inconsistent information.

It is important to note that Narrativa also offers other solutions for other functions at  life sciences organizations, like marketing and financial reporting

About Narrativa

Narrativa is an internationally recognized generative AI content company that believes people and artificial intelligence are better together. Through its proprietary content automation platform, teams of all types and sizes are empowered to build and deploy smart composition, business intelligence reporting, and process optimization content solutions for internal and external audiences alike. 

Its tech stack, consisting of data extraction, data analysis, natural language processing (NLP), and natural language generation (NLG) tools, all seamlessly work together to produce content quickly and at scale. In this way, Narrativa supports the growth of businesses across a variety of industries, while also saving them both time and money. Accelerate the potential with Narrativa.

Contact us to learn more about our solutions!