Axtria is delighted to announce that we will be sponsoring and participating in the Pharmaceutical Management Science Association’s (PMSA) annual conference. This will be Axtria’s ninth year attending and we are eager to explore this year’s theme: “Designing the Future of Analytics in Biopharma.”
The following blog is an expanded summary of proposed research accepted for delivery at the upcoming 22nd ISPOR Annual International Meeting, Research Poster Presentations - Session I, entitled “Health Care Use & Policy Studies”, to be held in the John B. Hynes Convention Center (Level 2) in Boston on Monday May 22, 2017 from 8:30am-2:30pm. The poster author discussion hour will be from 1:00-2:00pm.
We are excited to announce that Axtria’s Randy Risser and Sudeep Saha will be running a deep-dive workshop on Real World Data at PMSA’s 2017 Winter Symposium. The event takes place from January 12-13 at the Hilton Gaslamp Quarter, San Diego, California. Axtria's workshop starts at 9:45am on Friday.
There are numerous drugs on the market to lower cholesterol and ultimately reduce cardiovascular risk. Drugs in the statin class, like Lipitor® and Zocor®, are generally effective and economical since many of them are generic. While statins help many patients reduce their cholesterol, there are individuals who experience side effects that prevent them from taking statins altogether or at a high-enough dose1.
With the advancements in the field of science and technology, more and more appliances have integrated systems capable of storing and reporting streams of data. Under the field of telematics, various devices are being used to extract, store and transform information related to vehicles and their usage. The data provided by these devices also contains information regarding various aspects of the driver including the driving patterns.
Need of an hour is the unified rating for drivers that represents how good a driver is, irrespective of the device or telematics service provider (TSP). A lot of information related to driving behaviors is being tracked through in-vehicle telecommunication devices (telematics) that are usually self-installed into a special vehicle port and can be used to predict the level of risk that a driver will cause an accident in foreseeable future. Through this paper, we propose the following methodology to calculate these rating, the driver scores as it is generally called.
Dataquest - 30th June 2016 - Excerpts from the Interview
As we look back on an exciting week in Philadelphia, there are many highlights that make 2016 the best Veeva Commercial Summit yet. At Axtria, we thrive on customer engagement and the summit gave us the opportunity to meet with more than 100 of you. We enjoyed the chance to discuss the latest industry trends, hear about your business challenges, and share our leadership in commercial operations.
As it becomes increasingly more difficult for Sales Representatives to gain access to physicians, the need for timely, relevant and value-focused engagement is now more important than ever.
Targeted therapies have generated great interest amongst pharmaceutical manufacturers and several products are currently being commercialized. With the advent of advanced data sources provided by companies who perform these diagnostic tests, it becomes more critical pharmaceutical manufacturers to enhance their understanding of diagnosis, testing, and treatment behaviors while building capabilities around the targeted therapies with accurate forecasting. The diagnostic testing data provided by the laboratories helps in evaluating the overall genetic testing landscape ranging from academic to commercial laboratories and make commercial recommendations around forecasting and localized decision making.
The industry uses a broad range of approaches today for customer valuation, promotion response analytics and sales force resource allocation. With the increasing complexities in the marketplace and availability of richer data, there has also been continuous innovation in analytical methodologies for resource allocation.