Economic Evaluation of Healthcare Innovation Projects
Startup Vision: From Valuation to Investment
Healthcare innovation is advancing rapidly, but only technologies that demonstrate real clinical and economic viability reach the market or obtain licenses. Today, hospitals, as well as the pharmaceutical, medtech, and digital health industries, are seeking projects capable of justifying their value from very early stages.
This program allows you to master economic analysis applied to new therapies, devices, and digital solutions, so you can make sound decisions: continue development, scale, license, or attract investment.
You will learn to evaluate costs, benefits, impact, and profitability, and to transform data into compelling arguments that open doors with healthcare systems, funders, investors, and strategic partners.
What will you achieve?
A teaching team with extensive experience in consulting, health technology assessment, and technology transfer will guide you through lectures, self-study, and real-world case studies. By the end, you will be able to:
Study of clinical and economic benefits
Design studies that capture the true clinical and economic value of a health technology, from early versions to more advanced validations.
Healthcare technology assessment
Understand and accelerate the evaluation processes, identifying what evidence you need for each stage and for each regulatory or funding agent.
Assessment models and profitability
Determine the best product positioning, analyze economic scenarios, and project profitability to guide investment or licensing decisions.
Evaluation of effectiveness, quality and efficiency
Create strong arguments to justify funding, adoption, or licensing, communicating the true value of the technology in a clear and quantifiable way.
Healthcare market
Identify opportunities, risks, and market access levers to accelerate entry and maximize project impact.
Student Profile
Designed for professionals who develop, evaluate, or invest in healthcare technologies and need to integrate clinical, economic, and financial criteria into their decisions. Ideal for: healthtech or biomedicine entrepreneurs, investors or business developers, R&D teams, healthcare professionals leading innovation projects, and those interested in licensing or technology transfer.
Requirements
No specific prior training is required, although experience in a scientific, healthcare, or economic field is recommended: mathematics, engineering, computer science, medicine, biomedicine, economics, business administration, or similar. A basic understanding of the healthcare sector or applied statistics is desirable. The program is designed for professionals who work (or aspire to work) in the development and evaluation of healthcare technologies and need to understand the entire clinical and economic evaluation process to make better decisions.
Aprende de un cuadro docente formado por profesionales en activo
Carlos Crespo, PhD, in addition to being the CEO of Axentiva Solutions, is a professor of biostatistics and experimental design at Universidad de Barcelona, and a professor of health economics and pharmacoeconomic modeling at Universidad Pompeu Fabra. Alongside his academic career, he has over 25 years of experience in socio-health research involving a wide range of technologies. His extensive expertise has led him to lead multiple national and international projects in the healthcare field, focusing on demonstrating the value of innovation to health systems by applying cutting-edge research methodologies such as economic evaluations, budget impact studies, indirect comparisons, and artificial intelligence. Carlos Crespo, PhD, is a nationally and internationally recognized expert in health economics, with numerous publications in scientific journals and participation in many forums.
Over 30 years leading financial education
Learnability
We promote, facilitate, and enhance your ability to learn quickly and effectively. We adapt to new situations and maintain a continuous improvement mindset.
Employability
We develop the skills and competencies to obtain, maintain, and enhance your professional profile in a competitive and ever-changing market
Glocality
We combine global and local perspectives in a more connected environment to foster collaboration and commitment in solving challenges.
A curriculum to deepen your understanding of the financial-healthcare field
In-person or streaming sessions
- Applied theory
- Case studies
- Team and individual assignments
1. Definition and basic concepts. Development phases of health technologies. HTA models (early assessment, national/regional/hospital HTA). Organizational impact (5 hours)
2. Early assessment and defining the Population, Intervention, Comparator, and Outcomes (PICOs) in startups (5 hours)
3. Common methodologies and approaches (5 hours)
4. Case studies and practical applications (5 hours)
1. Types of costs from a financial perspective (fixed, variable, direct, indirect) (3 hours)
2. Types of costs from a health economics perspective (direct healthcare, direct non-healthcare, indirect, and intangible costs) (3 hours)
3. Tools for evaluating and capturing costs according to perspective (4 hours)
Practical cases and examples of cost assessment (2 hours)
1. Types of studies (clinical trials, observational studies, others) and levels of evidence (4 hours)
2. Methods for quantifying clinical benefits (3 hours)
3. Case studies and examples of benefit assessment (3 hours)
1. Study design. Identification of the most relevant potential indicators (endpoints, surrogates, etc.) (2 hours)
2. Drafting protocols and monitoring systems (2 hours)
3. Ongoing adjustments and reassessments throughout development (1 hour)
4. Case studies and examples of study design (2 hours)
- Types of economic evaluations (1 hour)
- Early modeling (Headroom analysis) and price discovery (3 hours)
- Budget impact modeling, Net Present Value (NPV), and Internal Rate of Return (IRR) of the health technology (3 hours)
- Sensitivity analysis and scenario modeling (1 hour)
- Case studies and examples of economic evaluation (2 hours)
1. Decision trees: theory and case study (5 hours)
2. Markov models: theory and case study (10 hours)
3. Other types of models: theory and case study (5 hours)
4. Practical case on identifying the appropriate model (2 hours)
1. How to prepare a health technology assessment report including economic evaluation (2 hours)
2. Effective presentation formats (2 hours)
3. Communicating results to stakeholders, including licensees (1 hour)
In-person with all the flexibility you need
Program details
- 3 months
- Spanish
- Thursdays 4pm-9pm | Fridays 3.30pm-8.30pm
- Clases presenciales
- Clases en streaming
- Autoestudio online
- 4200€
