Is A.I. Going to Make Medical Device Reimbursement Consultants Obsolete?

Kris Munroe • Aug 30, 2023

A short experiment with Chat GPT to see how useful it is for learning about medical device reimbursement strategy. 

Artificial intelligence (AI) has made significant advancements in recent years, revolutionizing various industries by automating tasks and augmenting human capabilities. All this progress has led to one question that is really important to us: “Is A.I. going to make medical device reimbursement consultants obsolete?” We really like our jobs and the lifestyle they afford us. Are innovators going to be able to replace the experts that have historically shepherded them through the process that goes from idea to product?


To get to the bottom of the situation, we conducted a brief three-question experiment with Chat GPT (outlined below) to see how close AI is to replacing the expert reimbursement consultants at Argenta Advisors.


The Test

Question 1: Are you familiar with medical device reimbursement strategy?

Yes, I am familiar with medical device reimbursement strategy. Reimbursement strategy refers to the plan and approach taken by medical device companies to obtain coverage and payment for their products from healthcare payers, such as insurance companies, government programs, and other reimbursement authorities. It involves understanding the reimbursement landscape, navigating regulatory requirements, demonstrating the value and cost-effectiveness of the device, and engaging with stakeholders to secure reimbursement.


A well-developed reimbursement strategy is crucial for the success and commercialization of medical devices. It helps ensure that healthcare providers have the financial incentives and mechanisms to adopt and utilize the device, and that patients have access to the technology without undue financial burden. Reimbursement strategy may involve activities such as conducting health economic evaluations, clinical studies to generate evidence, developing coding and billing strategies, negotiating with payers, and educating healthcare providers about the device's value proposition.


By effectively navigating the reimbursement landscape, medical device companies can increase the likelihood of securing coverage and payment for their products, which is essential for market access, adoption, and revenue generation.


Question 2: How do I get health insurance payers to create coverage policies for a new medical device?

Getting health insurance payers to create coverage policies for a new medical device can be a complex process, but there are several steps you can take to increase the likelihood of success. Here are some strategies to consider:


  1. Generate compelling clinical and economic evidence: Payers want to see robust evidence that your medical device provides clinical benefits and is cost-effective compared to existing treatments. Conduct well-designed clinical studies and health economic evaluations to generate evidence that demonstrates the value of your device. This evidence can be pivotal in convincing payers to create coverage policies.
  2. Engage with key stakeholders: Build relationships and engage with key stakeholders in the payer community. This includes medical directors, policy analysts, reimbursement decision-makers, and health technology assessment (HTA) organizations. Seek opportunities to present your evidence, participate in payer meetings or conferences, and engage in dialogues to understand their perspectives and address any concerns they may have.
  3. Develop a strong value proposition: Clearly articulate the value proposition of your medical device to payers. Highlight how it improves patient outcomes, reduces healthcare costs, and addresses unmet needs. Emphasize the potential impact on quality of care, patient satisfaction, and long-term cost savings. Align your value proposition with the payer's goals and priorities, such as improving patient outcomes, reducing hospital readmissions, or managing population health.
  4. Address reimbursement challenges: Understand the specific reimbursement challenges and barriers for your device. Identify any existing codes, coverage limitations, or reimbursement policies that may hinder coverage. Develop strategies to address these challenges, such as seeking new or revised codes, advocating for policy changes, or providing additional evidence to address payer concerns.
  5. Collaborate with professional societies and advocacy groups: Partner with relevant professional societies, patient advocacy groups, and industry associations that have influence with payers. These organizations can support your efforts by advocating for coverage policies, providing clinical expertise, or participating in policy discussions.
  6. Seek expert reimbursement guidance: Consider engaging reimbursement consultants or experts with experience in navigating payer systems and developing reimbursement strategies. They can provide valuable insights, guidance, and assistance in navigating the complexities of the reimbursement process.
  7. Build relationships with healthcare providers: Engage with healthcare providers who will be using your device. Their support and advocacy can be influential in encouraging payers to create coverage policies. Demonstrate how your device improves patient outcomes, reduces healthcare utilization, and enhances clinical workflows.
  8. Stay informed about policy changes: Stay up-to-date with changes in healthcare policies, reimbursement regulations, and guidelines that may impact coverage for your device. Actively monitor updates from CMS, private payers, and other relevant organizations. Being aware of policy changes allows you to proactively adapt your reimbursement strategy and engage with payers accordingly.


Remember that the process of obtaining coverage policies for a new medical device can take time and persistence. It often requires a multifaceted approach, combining scientific evidence, strategic advocacy, relationship-building, and effective communication with payers.


Question 3: How is reimbursement strategy related to finding investors for my medical device company?

Reimbursement strategy can play a significant role in attracting investors for your medical device company. Here's how reimbursement strategy is related to finding investors:

  1. Market potential and revenue generation: Investors are interested in understanding the revenue potential of your medical device. A well-defined reimbursement strategy demonstrates how your device can obtain coverage and payment, ensuring a market for the product. It provides investors with confidence that there is a viable path to revenue generation, which can make your company more attractive for investment.
  2. Commercialization and adoption: Reimbursement strategy is closely tied to the commercialization and adoption of your medical device. Investors want to see a clear plan for how your device will be introduced into the market, including how it will be reimbursed by payers and adopted by healthcare providers. A robust reimbursement strategy demonstrates that you have considered the market dynamics and have a plan to overcome reimbursement challenges, thereby increasing the likelihood of successful commercialization.
  3. Competitive advantage: A well-executed reimbursement strategy can give your medical device a competitive advantage in the market. If you can demonstrate that your device has secured favorable coverage and payment terms compared to competitors, it positions your company as a more attractive investment opportunity. Investors are more likely to support a medical device company that has a clear strategy for reimbursement success and differentiation in the marketplace.
  4. Long-term sustainability: Reimbursement strategy is essential for the long-term sustainability of your medical device company. Investors are interested in companies that can demonstrate not only short-term profitability but also long-term viability. A solid reimbursement strategy indicates that your company has considered the reimbursement landscape, understands the evolving healthcare policies, and has plans in place to adapt to changes, ensuring sustainable revenue growth.


In summary, a well-developed reimbursement strategy can help attract investors by showcasing the market potential, revenue generation capability, commercialization plan, competitive advantage, and long-term sustainability of your medical device. It demonstrates that you have a clear understanding of the reimbursement landscape and have a plan to overcome reimbursement challenges, increasing the confidence of investors in the success of your company.


Review of the results

Chat GPT’s answers were not wrong, but they were certainly missing insight and at times described wildly oversimplified steps in the process of developing or navigating a reimbursement pathway. This is perhaps seen most acutely in the answer to Question 2. While objectives such as “engage with key stakeholders” and “build relationships with healthcare providers” are the cornerstones of a good reimbursement strategy, they are often big tasks requiring a lot of work, skill, and experience to navigate successfully. To Chat GPT’s credit, it did recommend that a reader should “consider engaging reimbursement consultants or experts with experience in navigating payer systems and developing reimbursement strategies.” This would indeed be a very wise move.


Generally, the reimbursement consulting industry has relied on human expertise and strategic thinking. However, there are limitations to human thinking, particularly in areas involving data analysis, pattern recognition, and predictive modeling. Machine learning algorithms can analyze vast amounts of data, extract insights, and provide recommendations—replicating, and perhaps improving on, some tasks traditionally performed by human consultants. AI-powered tools can conduct market research, identify trends, and even simulate scenarios to aid in decision-making.


However, there are inherent limitations that will prevent the complete replacement of human consultants. AI lacks the intuition, creativity, and empathy that human consultants bring to client engagements. Building trust, understanding complex organizational dynamics, and navigating nuanced client relationships require human expertise and judgment. AI does not have longstanding relationships with key decision-makers at the healthcare payers. Although policy is an important part of the healthcare system, it is important to remember that the reason policy exists is to provide a framework for the vast number of people using individual discretion who make up the healthcare system, and that at some level human-to-human contact and persuasion will remain core to how decisions are made in healthcare.


Rather than a complete replacement, a more likely scenario is collaboration between AI and human consultants. AI technologies can augment human capabilities by automating certain tasks, enhancing data analysis, and providing insights to improve decision-making. Human consultants can leverage AI tools to augment their expertise, increase efficiency, and deliver more value to clients. The key lies in striking a balance between AI-driven automation and the unique skills and insights that human consultants possess.


While the rise of AI presents risks for some consulting jobs, it is unlikely to completely replace human consultants in any industry, never mind the highly nuanced practice of medical device reimbursement consulting. AI technologies can automate routine tasks, provide data-driven insights, and drive efficiency gains, but they currently lack the critical thinking, creativity, and human connection that consultants offer. The successful integration of AI into consulting will involve a collaborative approach in which human consultants leverage AI tools in order to enhance their capabilities and deliver more value to clients. The successful consultants of the future will focus on the things that AI cannot replicate—relationships.


Medical device reimbursement consultants are not going to be replaced by AI, but they will be replaced by other such consultants who know how to leverage the use of AI.

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