From guessing to growth: Why adoption simulation is a key to healthcare market entry?
Implementing complex innovations continuously is a part of the healthcare market. But the failure rates for implementing complex innovations usually range from 30% to 90%.
The problem is not the innovation itself: its adoption. Healthcare innovations fail due to factors such as high uncertainty, risk, misaligned incentives for adoption, unsustained leadership, and lack of support or training. (1)
Entering a new market without understanding the predictors of innovation, implementation is a form of Trial-and-Error mindset.
The result? High burn rates, slow adoption, and low impact.
The problem is not the innovation itself: its adoption. Healthcare innovations fail due to factors such as high uncertainty, risk, misaligned incentives for adoption, unsustained leadership, and lack of support or training. (1)
Entering a new market without understanding the predictors of innovation, implementation is a form of Trial-and-Error mindset.
The result? High burn rates, slow adoption, and low impact.
A new strategy in the healthcare market-adoption simulation
When innovations fail, you don’t just “burn” the capital. Instead, the opportunity to improve patient care is lost. This is where adoption simulation plays a key role in accelerating the success rate of healthcare innovations.
By having an adoption simulation tool, organizations can:
– Overcome regulatory hurdles,
– Balance stakeholder resistance, and
– Fill infrastructure gaps effectively
This helps to identify barriers and optimizes the go-to-market strategy before spending real resources. Hence, having an adoption simulation shifts the process from guessing to evidence-based planning.
By having an adoption simulation tool, organizations can:
– Overcome regulatory hurdles,
– Balance stakeholder resistance, and
– Fill infrastructure gaps effectively
This helps to identify barriers and optimizes the go-to-market strategy before spending real resources. Hence, having an adoption simulation shifts the process from guessing to evidence-based planning.
Entering the healthcare market is not about where you go, but it’s about how you enter
The success of healthcare innovations is not determined by market attractiveness but by how well an innovation fits into the healthcare system.
The lack of consideration of contextual factors, such as engaging different stakeholders, developing meaningful partnerships, and aligning solutions with local systems, has implications for the successful implementation of health care innovations. (2)
TAIRIS focusses on stakeholder mapping, system understanding, and local context design.
We simulate stakeholder dynamics (hospitals, regulators, payers, NGO), test business models, and evaluate rollout strategies before real resources are invested.
The result? We will turn complexity into a clear, actionable entry roadmap.
The lack of consideration of contextual factors, such as engaging different stakeholders, developing meaningful partnerships, and aligning solutions with local systems, has implications for the successful implementation of health care innovations. (2)
TAIRIS focusses on stakeholder mapping, system understanding, and local context design.
We simulate stakeholder dynamics (hospitals, regulators, payers, NGO), test business models, and evaluate rollout strategies before real resources are invested.
The result? We will turn complexity into a clear, actionable entry roadmap.
Entering the market is only the first step
After entering the market, the next challenge is the adoption of health innovations.
Poor implementation of healthcare innovation is not because of the cost of the technology, but it’s the cost of waiting. The adoption of innovations in the healthcare sector is less appropriate due to complex organizational structures and processes. (3)
TAIRIS has a solution for this:
– Cut years to months: Our simulation modelling aims to show how stakeholders will perform in their specific operational settings.
– Pre-validate the Big Three: We work on standardized frameworks that map clinical, operational, or financial pathways upfront.
– Align stakeholders through the outcome: We simulate outcomes that allow financial and clinical teams to see their goals as aligned rather than competing.
The result: Faster Adoption = Faster Impact + Faster Revenue
Poor implementation of healthcare innovation is not because of the cost of the technology, but it’s the cost of waiting. The adoption of innovations in the healthcare sector is less appropriate due to complex organizational structures and processes. (3)
TAIRIS has a solution for this:
– Cut years to months: Our simulation modelling aims to show how stakeholders will perform in their specific operational settings.
– Pre-validate the Big Three: We work on standardized frameworks that map clinical, operational, or financial pathways upfront.
– Align stakeholders through the outcome: We simulate outcomes that allow financial and clinical teams to see their goals as aligned rather than competing.
The result: Faster Adoption = Faster Impact + Faster Revenue
Quantify value “You make X amount of money”
In healthcare, the focus should not be only on how quickly you can adopt change, but also on innovation that creates clear, measurable value. (4)
Traditional cost modelling approaches have limitations in capturing complex interactions, shaping real-world outcomes. Traditional methods rely more on assumptions, leading to misguided and inefficient measurement practices. (5)
TAIRIS’ approach goes beyond testing.
– Our adoption simulation aims to show how innovations perform across real-world conditions.
– We forecast revenues under different adoption scenarios.
– We help in identifying the most viable markets and segments.
Instead of asking “will this work?”
We say can argue “This market will generate X under scenario Y.”
This confidence is not from assumptions but from understanding the system dynamics of the organization.
Research shows that challenges in the arena of technology, organization, and environment affect the adoption of innovations by the healthcare sector. When these influences do not align, then adoption slows down or risks increase. (6)
This risk the cost of doing it alone and without a proper understanding of the system dynamics involved. This results in:
– Pilots may stretch into months or years.
– A Med Tech supplier risks failing a pilot that not just loses money but also loses the momentum.
– Innovation may die because of misaligned stakeholders.
TAIRIS positions itself as a connector, bridging innovation and real-world implementation.
– Optimized strategy: We test your ideas in a risk-free environment, identifying bottlenecks before you invest.
– Faster adoption: Our simulation model helps in faster adoption, allowing your organization to scale with confidence.
– Higher ROI. You stop paying for mistakes and start paying for your progress.
“Do it yourself → you make €X. Do it with simulation → you unlock €X+ (faster, safer, and at lower risk).”
Because in the end, innovation only matters when it is used. If you’re building a healthcare innovation and want to ensure it becomes something people use, let’s connect.
Author: Meenakshi Tekkalakote, Christopher Adlung
Traditional cost modelling approaches have limitations in capturing complex interactions, shaping real-world outcomes. Traditional methods rely more on assumptions, leading to misguided and inefficient measurement practices. (5)
TAIRIS’ approach goes beyond testing.
– Our adoption simulation aims to show how innovations perform across real-world conditions.
– We forecast revenues under different adoption scenarios.
– We help in identifying the most viable markets and segments.
Instead of asking “will this work?”
We say can argue “This market will generate X under scenario Y.”
This confidence is not from assumptions but from understanding the system dynamics of the organization.
Research shows that challenges in the arena of technology, organization, and environment affect the adoption of innovations by the healthcare sector. When these influences do not align, then adoption slows down or risks increase. (6)
This risk the cost of doing it alone and without a proper understanding of the system dynamics involved. This results in:
– Pilots may stretch into months or years.
– A Med Tech supplier risks failing a pilot that not just loses money but also loses the momentum.
– Innovation may die because of misaligned stakeholders.
TAIRIS positions itself as a connector, bridging innovation and real-world implementation.
– Optimized strategy: We test your ideas in a risk-free environment, identifying bottlenecks before you invest.
– Faster adoption: Our simulation model helps in faster adoption, allowing your organization to scale with confidence.
– Higher ROI. You stop paying for mistakes and start paying for your progress.
“Do it yourself → you make €X. Do it with simulation → you unlock €X+ (faster, safer, and at lower risk).”
Because in the end, innovation only matters when it is used. If you’re building a healthcare innovation and want to ensure it becomes something people use, let’s connect.
Author: Meenakshi Tekkalakote, Christopher Adlung
References
(1) Jacobs SR, Weiner BJ, Reeve BB, et al. Determining the predictors of innovation implementation in healthcare: a quantitative analysis of implementation effectiveness. BMC Health Serv Res. 2015; 15:6.
(2) Ploeg J, Wong ST, Hassani K, Yous ML, Fortin M, Kendall C, Liddy C, et al. Contextual factors influencing the implementation of innovations in community-based primary health care: the experience of 12 Canadian research teams. Prim Health Care Res Dev. 2019;20: e107. doi:10.1017/S1463423619000483
(3) Bell H, Rees D, Huxtable-Thomas L, Rich N, Miller E, Thomas R. Innovation adoption research in healthcare: understanding context and embracing complexity. In: Proceedings of the 18th European Conference on Innovation and Entrepreneurship. 2023 Sep.
(4) Barker LT, Meguerdichian M, Walker K, et al. Value-based simulation in healthcare: a new model for metrics reporting. Adv Simul. 2025; 10:41. doi:10.1186/s41077-025-00368-w
(5) Cha J, Cha ED, Yoo EH, et al. Modeling ROI in chronic disease management: a simulation-based framework integrating patient adherence and policy timing. BMC Public Health. 2025; 25:4270. doi:10.1186/s12889-025-25279-3
(6) Renukappa S, Mudiyi P, Suresh S, Abdalla W, Subbarao C. Evaluation of challenges for adoption of smart healthcare strategies. Smart Health. 2022; 26:100330. doi: 10.1016/j.smhl.2022.100330
(2) Ploeg J, Wong ST, Hassani K, Yous ML, Fortin M, Kendall C, Liddy C, et al. Contextual factors influencing the implementation of innovations in community-based primary health care: the experience of 12 Canadian research teams. Prim Health Care Res Dev. 2019;20: e107. doi:10.1017/S1463423619000483
(3) Bell H, Rees D, Huxtable-Thomas L, Rich N, Miller E, Thomas R. Innovation adoption research in healthcare: understanding context and embracing complexity. In: Proceedings of the 18th European Conference on Innovation and Entrepreneurship. 2023 Sep.
(4) Barker LT, Meguerdichian M, Walker K, et al. Value-based simulation in healthcare: a new model for metrics reporting. Adv Simul. 2025; 10:41. doi:10.1186/s41077-025-00368-w
(5) Cha J, Cha ED, Yoo EH, et al. Modeling ROI in chronic disease management: a simulation-based framework integrating patient adherence and policy timing. BMC Public Health. 2025; 25:4270. doi:10.1186/s12889-025-25279-3
(6) Renukappa S, Mudiyi P, Suresh S, Abdalla W, Subbarao C. Evaluation of challenges for adoption of smart healthcare strategies. Smart Health. 2022; 26:100330. doi: 10.1016/j.smhl.2022.100330