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MedTech Outlook | Monday, June 27, 2022
Most pharma companies understand the value of patient analytics for their business, but only a few pharma businesses expand their analytics efforts across the whole product lifecycle.
Fremont, CA: Real-world data (RWD) is essential for patient-centered care delivery. In actual medical settings, an enormous amount of health-related data is recorded and collected every minute. Multiple sources gather, de-identify, and store this information. Synthesizing and aggregating the RWD sources with artificial intelligence (AI) and machine learning (ML) tools can provide pharma companies with a longitudinal view of patients, providing them with analytical insights into patient journeys and interactions and enabling them to develop evidence-based, predictive commercial strategies. Using analytic tools, pharma businesses may explore and investigate various data sources and then translate their findings into descriptive, predictive, and prescriptive insights that help them enhance their products and patient experiences.
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How patient analytics is driving value across the entire product lifecycle
Late-stage pipeline
As they seek to define their launch's target market, pharmaceutical corporations might utilize data insights to comprehend patient history and behavior. This can also help them increase the accuracy of their forecasts by studying diagnostic features, excluding the possibility of misdiagnosis, and examining comorbidities, prescriptions, and treatment durations.
Pre-launch and launch
Data insights can assist pharmaceutical businesses in assessing market preparedness by identifying early adopters among healthcare professionals (HCPs) and improving their connection with the proper channels. Additionally, it can provide insight into the prescription quantities of competing brands.
Post-launch and active marketing
Tracking and evaluating a product's performance, patient adherence, and response is simple for pharma businesses, allowing them to adopt timely solutions and maintain brand success while they pursue scalability.
Market maturity
As pharmaceutical businesses pursue brand extension, data insights may bolster their maturity by enabling them to discover label expansion prospects. It can also assist them in identifying brand-loyal HCPs in order to drive targeted actions and maintain their engagement.
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