Finding ways to deliver personalized ads leaving out personal identifying information is especially crucial in the pharmaceutical marketing landscape where data privacy is essential.
Tag Archive for: Data
Lifesciences firms need to invest in technology that unifies data and workflows across medical information teams and safety teams. Integrating MI and safety helps them optimize the drug development lifecycle and ultimately drive greater patient safety.
A Q&A with Alister Campbell, VP, global head of science and technology at Dotmatics.
Utilizing social listening data to understand patterns and trends in patient behaviors can now make that journey easier, improve quality of life and result in better outcomes for patients.
Although the pandemic gave a boost to the drug discovery market, accelerated development in the market will be influenced by effective use of data and analytics.
The COVID-19 pandemic compelled the industry to re-examine the way it conducted clinical trials, engaged with patients, and promoted to HCPs. Companies began to explore decentralized clinical trials, new non-personal promotion strategies, virtual customer engagement strategies, and new ways to engage with the patient — all with an eye toward replacing status quo processes and technologies. The result was the accelerated development of new clinical and commercial technologies and data with the ultimate goal of bringing new therapies to patients faster.
The healthcare marketing and analytics leader expands their Measurement Suite to include unprecedented audience and campaign insights.
Changes are ahead for professionals in life sciences sales and marketing, and medical affairs. From the widening gap between AI-users and those companies still holding out; to the next evolution in AI, and how companies will seek to make it more practical on a global scale; to the impact of AI on leveraging digital opinion leaders to get more clinical evidence in the hands of doctors, Aktana offers its predictions for the coming year.
The use of artificial intelligence and natural language processing is already transforming the process of systematic literature reviews – which means better research, better information for healthcare communicators, and better outcomes for patients.
