Market access, pricing and reimbursement Payer market research expertise The payer environment for innovative therapies is becoming increasingly competitive. We will help you: Solution We developed hypotheses from research of the current market for breast cancer therapies, focusing particularly on labels and clinical trial designs for recently launched products.
Charts and tables Symbols and icons This chart provides a good starting point from which to explore requirements.
Often a dashboard becomes the starting point for a scorecard: Yes — but not as much as one might think. What matters more is that everyone is on the same page about the main purpose of the tool: Part of the proposed solution included this: This got me thinking about the complexities of performing predictive analytics.
Complexities lurking under the predictive analytics table include issues such as data quality. For instance, Customer IDs and customer names not always matching Customer ratings changing over time Master invoices being used to track transactions over an extended period of time Inconsistent data entry — for instance, credits sometimes showing up as negative numbers and sometimes as positive numbers — depending on how the data entry person coded the transaction.
They could be the first sign of a new trend, a fluke, a data error, or the result of factors beyond our control. How we deal with outliers when building our predictive model depends on what caused them. Usually they are noise and become part of our margin for error rather than a factor we would include in our model.
In order to separate meaningful facts from flukes, we need to dig further into the details and determine their influence on the big picture. Graph showing territory performance, including a statistical outlier.
As we refine our bonus plan for the next pay period, how should we proceed? Should we assume this territory will continue to have high sales and therefore raise its quota? Sometimes the sales rep can provide the insight we need to understand what caused the outlier. Usually, though, we need to look for likely causes using the data we already have and relating it to information from other sources.
As we can see, our crystal ball is only as good as the answers we derive from data collected in the past.
Building it also requires us to make assumptions about how pieces fit together, how they influence each other and how important they are in shaping the future. We can look to proxies and draw on our understanding of the market place. No matter how we develop our assumptions, we need to understand their limitations or they might turn us into Jacks and Jennys down the road.
We need skilled and experienced people, good data and the commitment to adapt over time. Define, Measure, Analyze, Improve, Control Whether we are aware of it or not, we employ these five steps all the time.
Each phase deserves careful attention.
Whether we have to manage a project or try to solve a less complex problem, DMAIC is a good place to start. Elsewhere in this blog I have discussed some of the finer points of relevant information. Throughout our certification course we spent considerable time sharing real life stories and discussing what it takes to build team consensus, to make team decisions and to prioritize solutions.
Lean Six Sigma provides a toolbox of methodologies from which the adept practitioner can choose the ones that fit the team dynamics and the problem at hand. The mechanics of these tools are easily learned — the human element can be more difficult to manage.
It takes human judgment and input from people to determine which factors are relevant, to discover where the problems are and to identify which solutions are feasible and should be pursued. When used appropriately and with skill, Lean Six Sigma tools help to transcend these human factors by approaching the problem from many different angles and by placing the emphasis on processes and problem solving rather than blaming people.3M Health Information Systems (HIS) is using AWS Service Catalog to reduce time to market, engineer and provision development pipelines in minutes, and meet corporate governance, security, and compliance requirements.
3M HIS is a worldwide provider of software for the healthcare industry. Patients and physicians (and the rest of the world) have embraced digital tools for learning and connecting with one another; the pharmaceutical industry’s commercial and marketing strategies need to follow.
Global healthcare market research and consulting for pharma, biotech and medical devices. Research Partnership is one of the largest independent healthcare market research and consulting agencies in the world. Pharmaceutical Market Research - Prescription Medicines Clarity Pharma Research is a specialty supplier focused on custom patient-chart audit/treating physician research.
Read this Case Study Hybrid Research for Complex Problems. Case study September, In , AbbVie engaged Sklar Wilton to conduct a customized research study to. Read this case study, which looks at how our client gained deeper patient insights into a new product using a moderated research online community.
Our pharmaceutical industry analysis combines surveys, interviews, primary and secondary research methodologies, and pharma competitive intelligence to offer a holistic approach to tackling business challenges faced by our clients in the pharmaceutical industry.