Using Artificial Intelligence to Achieve Faster Reimbursement
This case study discusses how we use data and Artificial Intelligence to achieve faster reimbursement of pharmaceuticals in both the USA and Europe.
How to use AI to achieve faster reimbursement
According to Pharmaceutic Executive, a delay in launch can cost a company an average of $15 million per drug, per day. This project was about using Artificial Intelligence to speed up the time to reimbursement on different formularies after FDA approval.
Find out how to make this process faster with AI.
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How to Use Artificial Intelligence to Achieve Faster Reimbursement
Getting your drug approved as rapidly as possible is important to realising your targets, especially given the shortened window of exclusivity. This case study discusses how we do this.
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Achieve a Competitive Advantage
You know the statistics:
- Two-thirds of pharmaceutical brands fail to meet their revenue expectations.
- This leads to job losses.
- In 2018, 2019 and 2020 alone, we have had close to 30,000 pharmaceutical employee job lay-offs in numerous roles including sales and marketing. And these have happened from even large pharmaceutical companies including Abbvie, Acer Therapeutics, Alkermes, Amgen, AstraZeneca, Bayer, Boehringer-Ingelheim, Eli Lilly, Genentech, Gilead, GSK, Inovio, J&J, Merck, Otsuka, Pfizer, Regeneron, Roche, Sanofi, Takeda, and Teva. But more are planned at some of these and now Novartis is also planning job cuts.
A recent survey of hugh growth (double digit) companies revealed that 93% of these were using Artificial Intelligence (AI) to achieve this result. But not all do.
After working on almost 300 AI biopharma sales and marketing projects over the years, I have found a fool proof process to get measurable results from AI initiatives for healthcare brands. I want everyone to know how to do this for their brands.
Do not waste another cent on projects that don’t produce tangible business results. So, instead of losing your job, supercharge your career with outstanding results that out-innovate your competitors and get you noticed.
"A recent survey showed that 93% of high growth (double digit) companies used AI to get there. We help you make it easy and effective."
Hi, I’m Andrée Bates, Founder of Eularis, lover of healthcare FutureTech, AI, entrepreneurship, start-up mentor, lover of cupcakes, a pilot who dreams she is an astronaut, and someone who injects passion into all she does. I have worked in Pharmaceuticals for 28 years, digital healthcare for 25 years, and Artificial Intelligence in healthcare for over a decade. During that time, I have had the privilege to work on almost a thousand digital health projects and almost 300 healthcare AI projects. I have lived through the ups and downs of all those projects. And I have made mistakes, and from that I have learned what you should do, and what you should not do, to achieve a successful result. I want to give you a simple way to avoid the pitfalls and follow a process I designed to get the measurable results that you should be.
This series is to introduce you to a way of thinking through your challenges as a place to start. If you are doing our ton-demand training, it is designed to empower you to achieve strong results quickly and cost effectively by following a proven process for planning and learning from others experience. You don’t need to reinvent the wheel. You just want measurable results – fast and cost-effectively.
I gave a lot of thought to the best way to achieve this for non-techie commercial healthcare teams – those with no knowledge or AI or any math or tech. Come on in and join us to take control of your business results by applying strategy to delivering your results.
