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 provide people with personalized and efficient care. Pharma companies can use this data analytics consulting tool 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 these data, companies can get a better understanding of 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 needs, at different 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. By integrating go-to-marketing consulting strategies, pharmaceutical companies can ensure the safety and effectiveness of their products by leveraging post-market surveillance data.
Data analytics plays an important 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.
