Gathering actionable and data-driven findings is a herculean task for any industry. For the Pharma industry, this is due to large amounts of data siloed in legacy systems, complex and non-curated information from multiple studies and trials, and stringent national and interna-tional regulations.
Translation that brings transformation
The next-gen NLG or Natural Language Generation (NLG) software has the potential to change the scheme of things. Its AI translator can convert data into natural language repre-sentation and also summarize large amounts of data and numbers. One NLG paragraph is like a picture worth a thousand words. It offers a complete picture by generating reports and detailing numbers that go beyond narrative descriptions of the collected data. The pharma industry has also started realizing the benefits of implementing NLG.
The NLG pill for the pharma industry
Enhancing report generation
With NLG, the data is automatically analyzed, interpreted and generated with all the major highlights in simple language. This AI automation of routine analysis saves the industry a lot of time and money. I discussed how AI is gaining importance in my previous blog – with NLG, Pharma companies can generate simplified yet detailed reports from the current hoard of collected data.
Improving the understanding of quantitative data
NLG enables data analysts to spend their time on analyzing data rather than creating it. De-tailed narratives and descriptions by NLG tools simplify reports, save time and increase productivity with smart automation for routine tasks. This enables the human capital to focus on innovation and creativity.
Effective patient communication
NLG can craft documents, structure databases and present them in a tabular/ graphic form. The document can be customized depending on the audience, circumstances, content, or-ganization and language. This includes health education material, theories, medical reports, progress notes etc. It also means patients can now receive tailor-made information rather than generic info. Thus, pharma companies can use NLG for effective patient awareness pro-grams.
Curating regulatory documents
Patenting and R&D are long and tedious processes as it takes about 10 years for a company to commercially leverage a drug. This also results in endless paperwork at the pre-clinical, clinical and commercialization phases. An error or breach at any stage can affect the time-to-market of the drug. NLG curates regulatory documents and saves extra time, energy and re-sources as compared to manual processes. It also improves data quality, reduces redundan-cy and duplication of information. Simultaneously, it enhances security, access to stored rec-ords and regulatory compliance by creating audit trails.
Breaks large chunks into consumable bites
The Pharma industry invests a large chunk of funds and resources into research
programs and improving patient care. The industry therefore needs to make the best use of data collected over the years. NLG has the ability to analyze large chunks of this data, select the most relevant info, and convert it into easily digestible reports to augment insight-generation.
LTI’s Leni, the world’s first virtual analyst has been curating pharma data for several global companies with its proprietary NLG engine. Here’s a little peek into it.
In this riveting blog series, I uncover various facets of the role played by AI & Analytics in the life sciences & pharma industry.
Other topics covered in the series:
The AI Remedy Series: Prescriptions for Intelligent Transformations
The AI Remedy Series: Reformulating the Industry with Artificial Intelligence
The AI Remedy Series: Decoding the DNA of Data Deluge with NLP
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