Upcoming Digital Islands and AI webinar, and Leadership: you are not a shark!

This week is the Medical Affairs and Scientific Communications meeting MASC in Orlando. Pre-pandemic I was a regular attendee.  I love the meeting, connecting with old colleagues, many of whom have become friends,  and hearing what everyone has been up to. I am sad that I will miss it this year, and up until Saturday, and even this morning; I was thinking I could just hop on a plane and fly to Orlando. However, having just emerged from a four-month long course on Artificial intelligence that absorbed most of my evenings and weekends, upon reflection, I decided to pause. Find out why in today’s last topic.  

Today’s topics:

  • Upcoming Digital Islands and AI webinar
  • The secret to unlocking the promise of AI
  • Pharma excellence and the rest of the world
  • Leadership: You are not a shark

Upcoming digital islands and AI webinar

A potential client recently asked me “can you find this data for me online or generate it? I think we may have it in system in house somewhere, however, I have no idea where to find it and I don’t have the time”. Unfortunately, many individuals in pharma companies face similar challenges even today. Luckily, often when I am asked to help with this type of challenge, I have a good idea of where and how to find the data that is needed.

When I joined pharma I remember being fascinated and frustrated by the plethora of systems: a clinical trial management system, a customer relationship management system, and as one person told me when I asked them how they managed physician interactions “outlook”.  KOL speaker engagements were managed in another system. Response documents were on SharePoint, as were documents on education and each affiliate used their own tools, standard response documents, customer engagement materials, sometimes based on global documents, sometimes, officially based on global documents but unofficially custom written for local markets “because the global documents won’t work in my market”.

Each affiliate had their own tools. standard response documents, educational documents, training documents etc. Large companies that have existed for many years developed systems organically with each market implementing tools and processes as needed. While we have moved from physical to digital storage, somehow, the mindset of keeping data in siloed systems and thus restricting access to certain teams, remained. Happily, in the past 30 years companies are overhauling the “data in silos landscape” the key driver has been to increase efficiencies.  However, teams faced with historical data in historical systems, still struggle with data marooned on digital islands.

If you want to make the most of your data, whether that is to identify key topics of interest to your customers, understand patterns of engagement, unlock opportunities, analyse customer engagement, identify great clinical trial sites or you want to generate insights across different systems and markets tune it to a complimentary webinar I will be running on the 24th of April at 3pm CET. 

I will be joined by two experts in the field, who can share insights across space, time, and industries:

– Wolfgang Schwerdt, Senior Data Scientist and Project Lead at the International Committee of the Red Cross (ICRC), who has a PhD in econometrics and has worked on predictive analytics at United Health Group’s Optum Analytics overseeing the development of health condition prediction tools, as well as  in Fintech and on the European Central Bank’s Centralized Securities Database infrastructure and who has been engaged in digital and AI projects for the past 20 years.

– Peter Shone, currently Chief Technical Officer at iEthico, who has been engaged in data science with a passion matching mine, for many years before the topic became fashionable. His knowledge is incredible, spanning decades and leadership roles across industries. He was Global Vice President at Rolls Royce and Chief Technical Officer at Parexel and was engaged in the intelligence sector.

I am a big believer in not reinventing the wheel. If you are too, then come learn from industry experts with experience spanning pharma and healthcare as well as other regulated industries such as banking and aviation. And the intelligence secto. Join us for a panel discussion and lively Q&A to explore how we can help solve your current challenges.

Key takeaway: Jumpstart your data analytics journey! Join my free webinar on April 24, 2024, at 3 pm CET to question cross-industry data science and AI experts.

The secret to unlocking the promise of AI

Spoiler alert – it is a very simple secret that I have been advocating for at least twenty years.

Four months ago, I signed up for a no code AI course. My weekends and evenings since then have mainly been dedicated to studying. My motivation? To experience MIT faculty in action, to engage with passionate peers, to acquire the ability to build my own models and to be able to intelligently discuss the difference between AI and Mary Poppins, as the two are frequently confused by hopeful individuals.

The course reminded me just how much I love data. After four months, many  video lectures, several models built, much frustration, and three project submissions for different AI topics, all with perfect scores, of which I am surprisingly proud, I have finally reached the end. While the course wasn’t at all what I had dreamed of it served its purpose. I have acquired new ways of thinking about data, modelling, and websites and which I can use to support teams to better profit from their data, cross-functionally.  

While I learned a lot – too much to pack into a simple text, I want to share just one simple secret to unlocking the promise of AI. Before you do anything with your data, understand its strengths, weaknesses, and gaps, try to identify complimentary data that could be useful, do a preliminary analysis and then identify the best approach to working with that data. It might be AI it might be something else. Either way, according to course trainers, and my extensive experience working with data, 75% of the time spent on any data project, and that includes AI model building,  is ensuring you start with sufficient, clean and well-prepared data.

Key takeaways: Considering AI? Ensure it’s the right tool for the right purpose at the right time. Verify data quality, secure necessary resources, and avoid rushing the process.

Pharma excellence and the rest of the world (ROW)

Anyone, who has worked in the pharmaceutical industry, will have come across the expression ROW (The rest of the world). In more recent years, a more universally acceptable synonym has been adopted: Ex-US or International.

Whatever your naming preferences are, it is important if you are planning to launch your products in markets outside the US, that you consider the local cultural and legal realities of Ex-US markets. These include understanding how country healthcare systems function, what the local regulatory requirements and expectations are, how best to engage with healthcare professionals (HCPs) and non-HCPs, and how international reference pricing works, which will influence country engagement and launch sequencing.

Then there is language, you cannot necessarily expect to engage HCPs in English in every market, or indeed one type of Spanish across different Spanish speaking markets. On the one hand language abilities vary from market to market and between physician specialisations, on the other there may be regulations requiring local language use. Cultural norms and market maturity play an important role when dealing not only with customers but with government healthcare bodies too as do the rules for engaging with patients ex-US.

Finally, if you are a company that is starting out, and you are planning to expand from the US, you need to consider appropriate resourcing levels to deal with the local specificities of the rest of the world. While in the US you may be able to work with a small footprint initially, thanks to homogeneity, in other parts of the world you will need more resources to navigate heterogeneous populations, with potentially more than one language per country, and different cultures. In this situation it is worth considering partnering with an organisation that already has a footprint.

Key takeaway: In conclusion,  what works well in one geographical region will not necessarily work well in another geographical region.

Leadership: You are not a shark 

Sharks die if they stop moving.

This is in fact not true. However, it is true, that humans don’t do well if they never stop to think, to breath to pause. 

I have learned that when I feel compelled to quickly do just one more thing, I stop instead. Hence, when I contemplated buying a ticket to go to MASC on Saturday morning for a quick there and back trip to Orlando, I stopped myself. Because I realised it wasn’t the best thing for me to do right now. 

When I feel the desire to make a fast decision, I will take a walk, read a book, make a phonecall, ride my bike and I will revisit the topic a few hours later or the next day. If someone is awaiting a response, I will let them know that I am reflecting. However, I have also realised that there is generally no need to feel pressure to respond immediately.  I have come to prefer a good answer to a fast answer.  I am always surprised at the many different solutions that present themselves as I mull things over, and at how effortlessly a final approach I am happy with takes shape.

Key takeaway Slower is often faster. And sometimes slower means stop.

I hope my post provides you with useful insights. If  you need support with a project, or are interested in coaching, why not give me a call to see how I can help. Find out what clients say about working with me here link.
My very best wishes

Isabelle C. Widmer MD

Image credit: Dating scout @unsplash.com