Health Care Research with AI: A Vaccine Market Analysis

1. Health Care Research with AI: A Vaccine Market Analysis Healthcare research has long been a cornerstone for advancements in medicine and health- related policies. As health care continues to evolve, artificial intelligence (AI) is increasingly playing a pivotal role in understanding market dynamics, patient behaviour, and health care provider (HCP) inclinations. A prime example of this is the research conducted on the vaccine market, particularly focusing on Y, a multivalent vaccine. This article provides insights derived fromhealthcare researchusing AI, focusing on market challenges, patient and doctor segmentation, and strategic recommendations to promote Y in a competitive environment. The Background: Market Challenges for Y Y is a three-shot multivalent vaccine known for causing fewer adverse post-vaccination events than traditional whole-cell vaccines. It faces stiff competition from other vaccines like A and B’s newly launched vaccine, whose prices are lower. Despite being WHO-certified, Y struggles to differentiate itself in a price-sensitive market, where whole-cell vaccines cost significantly less. The study’s key objective was to delve into the competitive landscape and offer strategic recommendations for Y. The scope included identifying the acknowledged beliefs and behavior patterns of both patients and healthcare professionals, with an emphasis on both urban and rural settings. Insights for Health Care Research: Understanding the Market AI tools enabled researchers to gather extensive data from 8763 patients and 3090 doctors, breaking down conversations from both rural and urban areas. This digital-first approach

2. provided comprehensive and actionable insights into the health care research, considering patients’ beliefs, doctors’ recommendations, and broader societal and economic factors. Patient Beliefs and Barriers One of the significant findings from thehealthcare researchwas the divergence in patient beliefs and barriers to vaccine adoption between urban and rural regions:  Urban Patients: Many believed that a fever post-vaccination was an indicator of the vaccine’s efficacy. However, the inflated cost of Y compared to other vaccines was seen as a substantial barrier. Patients also cited negative experiences shared by peers and the absence of significant perceived benefits as reasons for opting for cheaper alternatives.  Rural Patients: Rural populations displayed similar concerns, but the barriers were more centered on price sensitivity and lack of awareness regarding the comparative advantages of multivalent vaccines like Y. Across both demographics, it became evident that recommendations from doctors and peers were the primary drivers behind vaccine choice, making HCPs’ influence pivotal in shaping patient behavior. Health Care Provider Beliefs and Prescription Drivers Healthcare providers’ attitudes towards Y also varied across experience levels and geographies:  Urban Providers: Among experienced general practitioners (GPs) with more than 10 years of practice, both efficacy and safety were key drivers of prescription decisions. There was a notable inclination to rely on peer recommendations, especially in single practices. Pediatricians also valued peer opinions but raised concerns about post- vaccination safety, which slightly hindered their enthusiasm for prescribing Y.  Rural Providers: In rural settings, young general practitioners and pediatricians were more open to adopting Y, but they required strong peer recommendations to push its usage. Experienced rural GPs, on the other hand, were more skeptical, especially concerning perceived safety concerns. Doctor and Patient Segmentation To better understand the market dynamics, GrapheneAI’s health care research methodology employed segmentation techniques, grouping both doctors and patients into distinct categories based on their behaviors and beliefs. 1. Doctor Segmentation  Urban Experienced GPs and Pediatricians: Strongly influenced by efficacy data and peer recommendations. They were more likely to prescribe Y if safety concerns were addressed.  Young Urban and Rural Doctors: These providers were more willing to adopt new vaccines, provided they received sufficient positive feedback from peers. 2. Patient Segmentation The patients were divided into four major segments based on their behavior and lifestyle:

3.  Segment 1: Patients who were concerned with low pain and fever as key drivers for vaccine choice. They were also highly influenced by word-of-mouth (WOM) recommendations from peers and health experts.  Segment 2: This group looked for vaccines that caused minimal pain and were heavily influenced by expert recommendations, particularly among those from tier II/III cities and towns.  Segment 3: Those who experienced turbulent pregnancies and placed greater trust in expert-recommended vaccines that caused no fever. They were more likely to adopt Y if these concerns were addressed.  Segment 4: A price-sensitive cohort focused on low-cost vaccines with no fever as a side effect, frequently making choices based on WOM. Some morehealthcare researchfindings are not revealed due to the interest of confidentiality. Strategic Recommendations: Closing the Gap The AI-enabled healthcare research provided clear directives for Sanofi in terms of how to navigate the competitive landscape and drive Y’s growth. The recommendations include: 1. Strengthening Safety Perception Both patients and doctors identified post-vaccination safety as a concern. Addressing these concerns through comprehensive safety data, educational initiatives, and peer-driven campaigns can alleviate doubts and increase adoption. 2. Leveraging Peer Influence As peer recommendations emerged as a crucial driver of both doctor prescriptions and patient decisions, the strategy should involve engaging influential health care providers and creating a robust network of vaccine advocates to endorse Y, especially in rural and younger HCP segments. 3. Price Positioning Given the price sensitivity in both rural and urban markets, Sanofi must consider re- evaluating its pricing strategy for Y. Offering tiered pricing or subsidies could improve its accessibility and competitiveness, particularly in rural areas where cost remains the most significant barrier. 4. Targeted Messaging Tailoring messages that highlight Y’s efficacy, WHO certification, and fewer side effects— while addressing cost concerns—can improve its market positioning. This can be done through patient education, focused digital campaigns, and community outreach programs. Health Care Research Powered by GrapheneAI Health care research powered by AI provides invaluable insights into patient and provider behaviors that traditional research methods may overlook. In the case of Y, such research helps illuminate the specific barriers and drivers influencing vaccine uptake.

4. Contact usat GrapheneAI to optimize your market strategies, making vital health interventions like multivalent vaccines more accessible and acceptable across diverse populations. Read about thecase studywhere we made a client stop spending on TV advertising.