Meet Amy, the sweetest employee you could ever know! This bubbly personality is known as “the face of Axtria,” and keeps the positive vibes and the organization high. Read her inspirational story as she shares how Axtria is providing her a platform of continuous growth. #AxtriaWorksFromHeart.
“The Chinese use two brush strokes to write the word 'crisis.' One brush stroke stands for danger; the other for opportunity. In a crisis, be aware of the danger--but recognize the opportunity.”
- John F Kennedy
The US pharmaceutical industry, which is racing to develop a vaccine to beat the novel coronavirus, is facing never-before-seen challenges. The hurdles include public policy mandates (e.g., shelter-in-place orders and closing of non-essential businesses) and sweeping restrictions placed on industry representatives from entering offices and hospitals to meet healthcare professionals (HCPs). These policy mandates and restrictions are causing pharmaceutical companies to rethink their go-to-market strategy.
The commercial ecosystem of the medical device industry is an intricate one. Medical device sales teams constantly watch out for opportunities across the sales process, beyond the overarching life sciences commercial protocol (salesforce structure and deployment, sales activity design, incentive compensation, and operations outsourcing). These intricacies arise from various factors, like the heavy dependence on sales reps, mechanics and scale of the products being sold (sometimes complete health solutions), diversity of the stakeholder entities involved (from market influencers to centralized purchasing teams), and back and front-end supply chain fallouts. Here are some examples.
Rid your binge-watching boredom through artificial intelligence and machine learning – a leading cause of the pharmaceutical industry's best innovations and advancements.
As the projected weeks in quarantine rapidly rise, the amount of absorbable content in your queue is likely dwindling. With not much left to consume, now is the time to indulge yourself in all the titles from our list of the top seven artificial intelligence (AI) and machine learning (ML) content pieces that your brain can muster. After all, AI/ML innovations are leading the future healthcare landscape for faster, more efficient data analysis and commercial business operations, which in turn improve healthcare physician (HCP) engagement and drive better patient outcomes.
As of April 20, there are 2,440,528 confirmed coronavirus cases and 167,592 deaths globally. Currently, the U.S. continues as the hardest-hit country in the world, with 749,666 total cases – 238,831 of which are in the current epicenter, New York. In deciding timelines for reopening economies, officials from affected countries, including Italy, Spain, China, and the U.S., are relying on AI/ML-powered predictive models to determine next best actions. Given the unpredictability and rapidly-changing pandemic climate, AI/ML is necessary to overcome COVID-19 eventually.
As per a systemic review1 published in Annals of Internal Medicine, assessing the impact of interventions to improve adherence, it was found that about half the medications prescribed for chronic diseases are not consumed as directed by the physician, and around 20-30% of prescriptions are never fulfilled. This non-adherence results in over 125,000 deaths every year as well as increased emergency department visits and hospitalizations, which costs the American healthcare system to the tune of $100 to $300 billion1.
“Hi Caroline, this is Jeff! You reported feeling heavily symptomatic yesterday. I wanted to see if you are doing better. On a scale from 1-10, how would you rate your pain today?”
The world of health and medicine has broken countless barriers over the last few scores. Life sciences companies have continued to invest significantly in their research of globally corroding diseases, drug molecules discovery and development, and closely monitored clinical trials, to create industry-approved blockbuster medicines. These drugs, gaining precision with time, are curing more diseases and giving patients a chance at better lives. The pharma journey, however, gets complicated with more in-depth clinical and genetic research, as companies continue to find themselves facing more significant ‘unknowns’ than ever before.
In Part 1 of this two-part series, we learned about what managed care analytics means for pharma brand success and the factors that pharma companies need to keep in mind while planning their managed care strategy. In this part, we will explore how pharma account managers can leverage managed care analytics, in their constant endeavor of optimized contract performance, better formulary positions, and improved patient access and health outcomes.