AI & Analytics Consumption: Insights on Demand

Posted by Arun Shastri on Wed, Oct 02, 2019

This blog post is the fifth in a series on the impact that AI will have on different business aspects of pharma.

The past few years have seen an explosion of data, and with it, the need to make use of it. Gathering and stitching together internal and external data sources presents one set of challenges, but what about the analysts who struggle to leverage all of this data? How can they keep up with increasing demands for data-driven insights from the entire organization? How can we empower the whole organization to have access to these critical insights? Here’s a hint: AI is part of the solution.


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Brand Positioning in Pharma: Where’s the Patient?

Posted by Jeanne Ryan on Mon, Sep 30, 2019

Patient centricity is a familiar buzzword in the pharmaceutical industry today. High medication costs and consumerism are leading patients to play a more influential role in their own treatment decisions. So when it comes to brand positioning, why do most pharma companies still largely target the prescribers?


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Building Your Own Process Excellence Capability

Posted by Mayank Gupta on Fri, Sep 27, 2019

Many large, global businesses grapple with the complexity of their processes, the scale and expanse of their operations, changes in the market and changes in their customers’ expectations. Over time, business processes supported by antiquated technologies become inefficient. Costs escalate while the customer experience gets worse.

A way out of this challenge is to create a process excellence capability. Such a capability allows for the critical reimagining of business processes to ensure that the organization moves with the times and has the agility to transform itself based on business needs, all the while improving the customer experience. In our experience, when this is done right, companies can expect to gain anywhere between 15 and 25 percent efficiency gains.


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AI & the Enterprise: The Pursuit of Faster, Cheaper and Better

Posted by Arun Shastri on Wed, Sep 25, 2019

This blog post is the fourth in a series on the impact that AI will have on different business aspects of pharma.

The latest wave of AI continues to break across many industries, including retail, self-driving cars, agriculture and manufacturing. While tales of driverless cars are likely to catch your eye, there’s a less newsworthy, but no less important demand for leveraging AI behind the scenes in the workplace. How can non-commercial, enterprise functions improve efficiency and enable better decision-making?


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Structured Assessment of Value Strategy is Key to Effective IDN Partnerships

Posted by Matt Ruple on Thu, Sep 19, 2019

Joe Stevens co-wrote this blog post with Matt Ruple. 

Our life sciences clients often ask, “How can we create mutual value for large, organized customers and ourselves?” While this sounds like a simple question, it masks a number of challenges. In previous posts we discussed how IDNs try to create mutual value, but ultimately elevate one key management goal as their top organizational priority. Frequently, these management goals transform from ideas to action at the service line level, where various departments within an IDN then express therapeutic area level needs. For example, a large IDN taking capitated payments for some of its population may track total cost of care across specialty drugs in oncology and rheumatology, while in cardiology, the focus may be on transition of care and discharge protocols to reduce readmissions.


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