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.
Operating in the managed care system in the US healthcare market is challenging due to the complex environment. It is incredibly volatile and fragmented, with stakeholders ranging across various categories:
- Healthcare delivery systems like Integrated Delivery Networks (IDNs) and Preferred Provider Organizations (PPOs).
- Care systems like the Accountable Care Organizations (ACOs), Managed Care Organizations (MCOs), and Health Maintenance Organizations (HMOs).
- Governmental Point of Service (PoS) systems like Medicare and Medicaid.
Do you have a bookworm or someone who loves to learn on your gift list? Perhaps someone interested in how artificial intelligence (AI) and machine learning (ML) are breaking the traditional barriers in healthcare? Or, maybe you want to grab a hot cup of cocoa and a book on how AI is impacting healthcare to busy your mind on a cold winter day.
This blog is the second of a two-part series and highlights two of the four key forces driving changes in the healthcare ecosystem, encouraging medical device companies to rethink their traditional commercial models. Click here to read the first blog.