Vamstar AI-Powered Marketplace matches supply and demand Wed, 18 Oct 2023 09:36:58 +0000 en-US hourly 1 https://wordpress.org/?v=7.0 http://www.idlewolf.com/wp-content/uploads/2021/10/cropped-Vamstar_vertical-e1633466005141-32x32.png Vamstar 32 32 Understanding Price Erosion for Pharmaceuticals post Loss of Exclusivity (LoE) using Artificial Intelligence http://www.idlewolf.com/understanding-price-erosion-for-pharmaceuticals-post-loss-of-exclusivity-loe-using-artificial-intelligence/ http://www.idlewolf.com/understanding-price-erosion-for-pharmaceuticals-post-loss-of-exclusivity-loe-using-artificial-intelligence/#respond Wed, 18 Oct 2023 09:36:58 +0000 http://www.idlewolf.com/?p=15523 Recent LoEs have seen a more rapid price erosion, especially in the first 60 days. The year-on-year increase in the number of molecules going off-patent is having a significant impact on the pharmaceutical industry. Originator companies are facing increasing competition from generics and biosimilars, and they are also having to invest more in research and […]

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Recent LoEs have seen a more rapid price erosion, especially in the first 60 days.

The year-on-year increase in the number of molecules going off-patent is having a significant impact on the pharmaceutical industry. Originator companies are facing increasing competition from generics and biosimilars, and they are also having to invest more in research and development to replace the drugs that are going off-patent.

In 2023 and 2024, a record number of blockbuster drugs are expected to go off-patent. This will have a significant impact on the revenue and profits of the originator pharmaceutical companies that own these drugs. The increase in the number of molecules going off-patent is due to:

  • The ageing of the pharmaceutical patent cliff: Many of the blockbuster drugs that were patented in the 1990s and early 2000s are now coming off-patent.
  • The increasing complexity of drug development: New drugs are taking longer and longer to develop, which means that they have less time under patent protection.
  • The rise of generic and biosimilar competition: Generic and biosimilar drugs are becoming more and more available, which is putting pressure on the prices of branded drugs.

As a result, the market has become more dynamic due to the entrance of stronger and more aggressive generic manufacturers. In recent years, there has been a trend towards increased price erosion for pharmaceuticals post-loss of exclusivity (LoE). 

The average price decline for branded drugs after the loss of exclusivity in the Europe was 58% in the first year and 62% in the second year between 2002 and 2014. For oral medicines, the price decline was even greater, at 66% in the first year and 74% in the second year. 

  • The increasing number of generic manufacturers entering the market and the increasing sophistication of generic manufacturers, allow them to produce high-quality generic versions of complex drugs. Most generic manufacturers follow an aggressive pricing strategy to gain market share rapidly.
  • Many governments have implemented policies to encourage the use of generic drugs, such as requiring pharmacists to dispense the cheapest generic version unless the prescriber specifically states otherwise. 
  • Cost pressures on buyers post-pandemic resulting in revised procurement strategies. Many buyers have now launched fresh tenders immediately upon patent expiry to maximise benefits. Special import licenses and faster approvals are also granted to ensure supplies from low-cost generic manufacturers. 

Post-pandemic and economic slowdown, buyers are under increased pressure to reduce spending. As a result, many buyers are now amending their procurement cycles to maximise the benefits of generic products and ensure long-term supplier relationships. 

As a result, the price decline is more immediate with over 60% of decay taking place in the first 30 days. For Instance,  in 2022, the price of Alimta (pemetrexed), a cancer drug, fell by 80% in the first six months after generic versions entered the market in the United States. Similarly, Suggamadex has already seen an 80% decline in the first 30 days in a few European countries.

While the decay continues to be high in the case of orals, the recent trends in injectables show a sharp decline, especially in the first 45/60 days. The generic suppliers have also realised that such aggressive discounting strategies may result in a significant loss of margin. The key challenge for the suppliers is getting the discounting strategy right as it affects the long-term commercial viability. Most suppliers lack the tools and visibility (insights) in key markets to help them define a pricing strategy. 

Vamstar’s Price Forecasting Model for LoEs

Vamstar’s loss of exclusivity (LoE) model analyses examples of previous Loss of Exclusivity (LOE) in comparable products across key European markets. It estimates the expected decay in price per unit based on the tender award dates from the date of LOE. 

The factors included in the analysis are: 

  1. Number of active participants
  2. Aggressive nature of suppliers and their pricing archetypes
  3. Date of LoE (More rampant depreciation has been witnessed in recent times)
  4. Treatment costs (high-value products see a more rapid fall) 
  5. Product complexity (small molecules/ biosimilar/ line of treatment etc.) 
  6. Volume-based discounts and 
  7. Originator’s strategy.

With the rise in the complexity of players, the dynamic nature of the tendering markets and the buyer’s willingness to secure larger discounts, AI has the potential to model that behaviour by analysing data points and their relationships in a multi-dimensional environment. The ability of AI to analyse patterns among several variables and identify interdependencies.

The power of AI can be leveraged to analyse the tender (net price) data across markets based on analogues. We identify data trends for similar molecules (in terms of form, treatment pathway, channels, geography etc.). The price forecasting model that Vamstar has developed can estimate the per-unit award price in multiple scenarios to act as a guiding light for pricing strategy in rapidly decaying markets. 

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How COVID-19 is bringing Healthcare Transformation and How can Vamstar help companies adjust to succeed http://www.idlewolf.com/whitepapercovid19bringshealthcaretransformationteaser/ http://www.idlewolf.com/whitepapercovid19bringshealthcaretransformationteaser/#respond Fri, 22 Jan 2021 13:42:44 +0000 http://www.idlewolf.com/?p=4160 How COVID-19 is bringing Healthcare Transformation and How can Vamstar help companies adjust to succeed Main Ideas: There is reason to be optimistic about 2021, but uncertainty concerning the impact of COVID-19 will remain well into the new year. With attention from healthcare buyers continuing to be limited, identifying the best and most relevant opportunities […]

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How COVID-19 is bringing Healthcare Transformation and How can Vamstar help companies adjust to succeed

Main Ideas:

  • There is reason to be optimistic about 2021, but uncertainty concerning the impact of COVID-19 will remain well into the new year.
  • With attention from healthcare buyers continuing to be limited, identifying the best and most relevant opportunities for vendors to position products and services is critical.
  • The impact of COVID-19 has begun a long-term shift in the way buyers think about procurement and the supply chain. As a vendor, it is essential to have the best insights into the context, outcomes, and evidence requirements of buyers to make the most of your time and resources.

 

Healthcare Equipment sales in 2020 were largely affected by COVID-19 in different ways. The Medical Imaging segment was one of the most affected by the events of 2020. How will this affect trends in 2021? Heres a snippet from the Vamstar whitepaper, COVID-19 Brings Healthcare Transformation.   

Medical imaging is one of the larger product markets in healthcare, and is comprised of several modalities including radiography, magnetic resonance imaging (MRI), ultrasound, positron emission tomography (PET/molecular imaging), and computed tomography (CT). Imaging has been widely used to detect cases of COVID-19, with CT being an early forerunner for detection, but more recently mobile digital radiography systems and point-of-care (POC) ultrasound have been used as they enable bedside imaging—particularly useful for triage as the number of patients surge through the winter months. Imaging is an area of continuous evolution, most notably on the software side and the coronavirus has served to push innovation in this space. Radiologists, once wary that AI might altogether supplant their role in hospitals and treatment centers, are increasingly warming to AI because of the clinical and operational benefits possible with the proper use and implementation of the technology. A significant primary benefit in using AI is speed and capacity: Even the most skillful radiologists cannot come close to matching the sheer volume of data that can be analyzed by AI algorithms. Moreover, AI can find complex patterns in images, such as molecular markers in tumors not discernible to the human eye. AI-driven algorithms can also help improve diagnostic workflows by reducing time spent on routine or manual operations involving patient setup, screening, measurement, segmentation, and formatting. Vamstar tracks the development of more than 350 algorithms for healthcare applications, this infographic provides a comprehensive list of those with regulatory approval and includes details on the developer, product name, application, and image source for each application. 

Below is an interactive infographic visual that shows a small amount of the information compiling capabilities that Vamstar offers. To learn more on how COVID-19 Brings Healthcare Transformation click here to download the entire whitepaper. 

To learn more about Vamstar and how our supplier level forecasting service based on millions of datapoints, including procurement and sales data, collated through artificial intelligence, you can reach out to me at praful@vamstar.io or sign up below and one of our representatives will be in contact with you as soon as possible. 

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Top 3 reasons why healthcare startups fail to commercialise http://www.idlewolf.com/top-3-reasons-why-healthcare-startups-fail-to-commercialise/ http://www.idlewolf.com/top-3-reasons-why-healthcare-startups-fail-to-commercialise/#respond Sun, 10 May 2020 22:02:59 +0000 http://www.idlewolf.com/?p=3655 Top 3 reasons why healthcare startups fail to commercialise In my role, at the forefront of healthcare commercialisation, I have worked with hundreds of companies in the early stages of their lifecycle and seen them sketch out a pathway to market. However, I have also seen a vast majority of them fail and wither out.  […]

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Top 3 reasons why healthcare startups fail to commercialise

In my role, at the forefront of healthcare commercialisation, I have worked with hundreds of companies in the early stages of their lifecycle and seen them sketch out a pathway to market. However, I have also seen a vast majority of them fail and wither out. 

Healthcare is a challenging sector with tough regulations and a fragmented market structure. In the life of a healthcare startup, there are ample of opportunities for missteps and costly mistakes. Moreover, unlike technology startups such as a consumer app, there are not many options for pivoting out. The traditional technology model of putting out a Minimum Viable Product (MVP) and then iterating to find the business model and user application doesn’t fully work in healthcare. 

Below are three common problems that healthcare startups face:

  • Not having a clear value proposition – Most early-stage healthcare companies struggle to understand the buyer’s overall needs and articulate solutions based on impact and opportunity.  A typical healthcare startup journey starts during a founder’s time at a healthcare institution or a previous supplier company or within an educational institution. It is this experience that shapes up the R&D around the product. However, most of the founders (and new founding teams) find it hard to quantitatively highlight how the product or innovation performs better than the standard of care. Indeed, most companies even struggle to make sense of what clearly defines a standard of care, from a commercial standpoint, as market access is inherently complex within healthcare. In our experience, there is evidence-rich data in the contracts (or tenders) that a buyer issues in the market to existing vendors to solve a particular challenge within a disease-care continuum. It is this data that holds the key to truly understand the buyer’s overall need, the infrastructure of the care environment, the comparators being used, and the existing evidence-value-risk dimension for market access. Often startups are not even aware of this dataset and rely on a few pilot programs to lead to eventual market entry. This can be very frustrating as startups, and their clinical sponsors within healthcare organisations eventually realise the contracting intricacies of their setup and the influence of non-clinical stakeholders in the process. In the last two decades, the balance of power in healthcare has shifted towards payers due to constrained budgets and increasing need for quality care. Most startups don’t even look at the existing commercial and contracting landscape before embarking on their product development journey. 
 
  • Poorly defined evidence generation strategy – Startups within healthcare have to collect a lot of evidence and data to get regulatory approval and gain reimbursement from payers within healthcare organisations. A most common mistake is to develop the evidence base linearly, i.e. for each milestone. It is for this reason that many companies run out of capital before the commercial stakeholders have even heard about the product or the innovation. In my experience, the companies that achieve market access engage commercial stakeholders early in the process. They start by analysing the core evidence needs across all stakeholders and develop value messaging around each of the personas (clinical and non-clinical). They approach evidence collection goals as a multi-pronged strategy that involves early engagement with all stakeholders and incorporate feedback iteratively into their data collection processes. 
 
  • Building only a direct-to-consumer commercial model and staying out of institutional channels – Often, startups believe that they can directly target consumers and skip the regulatory approval (and evidence generation) process. This is due to the flawed advice and wrong assumptions that consumers are willing to pay out of pocket for health-related products and services. Barring a few early adopters, most consumers want their health plans or governments to pay for their healthcare. To do business in healthcare, one has to engage in the formal institutional channels and participate in tendering and early innovation contracts, and eventually find a path to the market. I often see startups die while implementing the direct-to-consumer model as they eventually run out of money with poor adoption rates for the core technology. 

Vamstar’s proprietary AI platform helps healthcare startups identify and stay updated with the pulse of the buyer, analyse all evidence base for each indication or disease area, and directly participate in niche contracts (tenders) to build early commercial proof points. We aggregate healthcare demand from millions of contracts to ensure that your product development and go-to-market strategies bear results with interconnected and updated buyer data. 

Due to COVID-19, we are seeing an increasing intensity of commercial contracts (tenders) and early innovation programs being rolled out by healthcare organisations. 

For more details about how we can help you, please contact me at praful@vamstar.io

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