Informed by our business model framework, we advised (and Cambridge Judge Business Schools business accelerator supported) the
Question:
Informed by our business model framework, we advised (and Cambridge Judge Business School’s business accelerator supported) the tech venture Healx, which focuses on the treatment of patients with rare diseases in the emerging field of personalized medicine. A big challenge for pharmaceutical companies in this domain is that rare-disease markets are very small, so companies usually have to charge astronomical prices. (One drug, Soliris, used in the treatment of paroxysmal nocturnal hemoglobinuria, costs about $500,000 per patient-year.) Some potential treatments are, however, being used for more-common diseases with large patient markets. They could be repurposed to suit the needs of rare-disease sufferers, but they typically work only for people with specific genetic profiles.
Enter Healx, with a platform that leverages big data technology and analytics across multiple databases owned by various organizations within global life sciences and health care to efficiently match treatments to rare-disease patients. Its initial business model hit three (3) of our six (6) key features. First, Healx’s value proposition was about asset sharing (for example, making available clinical-trial databases that record the effectiveness of most drugs across therapeutic areas and diseases, including rare ones). Second, the business promised more personalization by revealing drugs with high potential for treating the rare diseases covered. Finally, Healx’s model would, in theory, create a collaborative ecosystem by bringing together big pharma (which has the treatment and trial data) and health care providers (which have data about effectiveness and incompatibility reactions and also personal genome descriptions).
How did we measure performance along those features? To assess personalization, we compared the amount of drug data currently provided to sufferers of rare diseases with the amount that Healx could provide, which initially covered 1,000 of the 7,000 rare diseases that have formal advocacy groups worldwide. These groups represent some 350 million people, 95% of whom currently get no even reasonably relevant drug recommendations. We measured asset sharing by looking at the proportion of known data on rare-disease-relevant drugs that Healx could access—about 20% in its start-up phase. Finally, we assessed its collaborative ecosystem by looking at how many of the main data-holding institutions participated—about a quarter.
At first, Healx struggled to get pharma companies to join the platform; they were concerned that their treatment data would leak to competitors. But the Healx team spotted an opportunity to give companies an incentive. In 2014 the United Kingdom’s National Health Service introduced a new rule for pharmaceutical companies: If an expensive treatment doesn’t work for a patient, the company responsible can be forced to reimburse NHS providers for its cost. The reimbursement amounts were disease-specific and counted in the thousands of British pounds.
Treatment failure is often caused by specificities in individual genomes, and Healx’s managers realized that their technology could help companies predict such failures with high accuracy, potentially saving millions of pounds a year.
More recently, Healx has developed a machine-learning algorithm that can use a patient’s biological information not only to match drugs to disease symptoms but also to predict exactly which drug will achieve what level of effectiveness for that particular patient. The latest version of its business model brings personalization to the maximum possible level and adds agility, because the treating clinician—armed with the biological data and the algorithm—can make better treatment decisions directly with the patient and doesn’t have to rely on fixed rules of thumb about which of the few available off-label drugs to use. In this way, Healx is able to support decentralized, real-time, accurate decision making.
This version of the Healx model has even more transformation potential—it exhibits four (4) of the six (6) features; it has already generated revenue from customers; and in the long term it could empower patients by giving them much more information before they consult a medical practitioner. Although it is still too early to tell whether that potential will be realized, Healx is clearly a venture to watch. It has earned a number of prizes (including the 2015 Life Science Business of the Year and the 2016 Graduate Business of the Year in the Cambridge cluster) and sizable investments from several global funds.
You cannot guarantee the success of an innovation (unless you choose a market niche so small as to be insignificant). But you can load the dice by ensuring that your business model links market needs with emerging technologies. The more such links you can make, the more likely you are to transform your industry.
Instruction: Map Healx’s business model using the business model canvas.
Organizational Behaviour Concepts Controversies Applications
ISBN: 978-0132310314
6th Canadian Edition
Authors: Nancy Langton,Stephen P. Robbins, Timothy A. Judge, Katherine Breward