The pharmaceutical industries, facing new challenges and evolving patient needs, particularly in the wake of COVID-19, are striving to enhance the patient experience. Data analytics and insights are some ways pharmaceutical companies can progress towards patient centricity. Data analytics provides insights into patient behaviors, needs, and treatment outcomes, which companies can use as the foundation for innovation by making informed business decisions. By analyzing large datasets, pharma companies can identify patient subgroups with specific needs, and companies can also understand the complete patient journey, giving them insight into designing interventions to improve medication adherence. Here's how data analytics helps pharma companies focus on making patients' experiences satisfactory.

Patient 360 data sets

A comprehensive database of all patient-specific health data, patient 360 includes all medical history, electronic health records (EHR), patient feedback, and service history. With the help of patient 360, companies can ensure that they are providing people with personalized and efficient care. Pharma companies can use databases to understand the patient's journey and real-world data (RWD), such as prescriptions, health records, claims, and billing, and combine it with marketing data. Marketing data includes how marketing efforts impact patient behavior (if they follow reminders on their health checkup). By linking data, companies can better understand what patients are going through and improve their services centered around patient healthcare. 

Predictive analytics

Predictive analytics plays a crucial role in optimizing patient outcomes. It assists in the analysis of historical patient data and remote patient monitoring data. Pharma companies, through healthcare consulting, can figure out what a patient need at various stages of their care and speed up clinical trials by optimizing clinical trial designs. This can aid in the development of superior products and services, as well as the enhancement of aftermarket services. Predictive analytics can be applied to various areas such as purchasing, marketing, production planning, consumer demand, and supplier management, among others. Enhanced operations in these areas will contribute to improving patient care. 

Post-market surveillance 

Once approved, pharmaceutical companies can use data science to monitor the safety and efficacy of their drugs and medical products. Detecting potential safety concerns with analytics can help pharma companies gather feedback from consumers and healthcare professionals. This proactive approach allows for a quicker response to any possible issues, ultimately leading to better patient outcomes and satisfaction. Pharmaceutical companies can ensure the safety and effectiveness of their products by leveraging post-market surveillance data.

Data analytics plays a significant role in helping pharma companies become patient-centric by providing insights about patient behaviors and treatment outcomes. By using tools such as Patient 360, predictive analysis, and more, pharmaceutical companies can make informed decisions, enhancing patient healthcare.