Resources

Editor’s Note: Predictive analytics has the potential to revolutionize not only care delivery, but also life sciences commercialization. However, this potential can only be realized if life sciences organizations integrate the right data and work with organizations skilled in applying predictive models that can generate actionable insights for field, brand, and patient services teams. While integrating prescription journey data into go to market strategies is not novel or even innovative, most organizations still struggle to generate actionable insights that can improve patient outcomes and drive business growth

Getting an innovative prescription drug approved for patient use is a significant milestone – however, it's only the beginning and certainly does not ensure the brand's commercial success. Considering it typically takes ten years and over $2.6 billion for a life sciences manufacturer to move a drug from its initial discovery into the marketplace, commercialization teams must employ effective launch strategies that differentiate their brand to get it into the hands of patients. Launching into a category with generic alternatives presents a unique challenge because payers often limit patients' access to the new entrant through utilization management tools that favor the lower-cost generics

Editor’s Note: As the broader healthcare environment evolves from a fee for service environment to one that’s value based, life sciences manufacturers should follow suit. While extracting rebates and pursuing “at-risk” contracts from vendors and partners is not novel for the life sciences manufacturers, far too often manufacturers end up bearing a disproportionate share of the risk and receive little in return in the form of outcomes. This is particularly true when it comes to hub services providers where manufacturers are on the hook for the significant investments required to stand up traditional human driven hub services programs that are often limited in their effectiveness

The prior authorization process (PA) presents a significant (and growing) roadblock for healthcare providers trying to get a patient started on a prescription therapy they deem best. In general, a PA requirement affects patients' experience with their healthcare. It represents a length of time – and the associated frustration – they must wait to receive their medication or go without the treatment they have been introduced to by their provider and may desperately need

Editor’s Note: While innovation in healthcare has delivered tremendous advances in treatment options, the system is complex and disjointed, often in ways that adversely impact patient outcomes. Healthcare leaders have often turned to technological innovations to solve pressing challenges, yet, these solutions often fail to move the needle on the outcomes that matter. Why