Executive Education Chair of Health Economics, Policy, and Management

The Chair of Health Economics, Policy, and Management offers regular workshops / seminars and customized executive education for healthcare professionals from health insurance companies, service providers (e.g. hospitals, medical practices, etc.), medical technology and pharmaceutical companies and health policy players (e.g. cantonal health authorities).

Care planning in the inpatient sector: What are the challenges of effective hospital capacity planning? How does hospital capacity planning work in Switzerland? Is it an effective instrument for providing sustainable hospital care?

Medical reports need to respond to conflicting interests (seminar in German): What is the relevance of different reports for different stakeholders? What does the legal and medical framework look like? What are the consequences of medical reports? (March 13 and 20, 2025)

Tailor-made programs can take the form of half-day to full-day workshops or seminars lasting several days, depending on your requirements and needs. Depending on the subject area, the content is designed and taught by renowned lecturers from business, science and politics. If you as a company or organization are interested in our tailor-made programs, please contact the Chair of Health Economics, Policy, and Management (healthscience@unisg.ch).

Possible topics and key questions for customized programs include

Payment systems, e.g. Diagnosis-related groups (DRG-systems), outpatient single service tariffs (TARMED) or capitation models.

• What components are required for a payment system?
• What incentives are set by different payment systems?
• What impact do payment systems have on the efficiency of service providers?
• What role do payment systems play in cost control and quality of care?

Value in healthcare, in particular quality measurement, e.g. through patient-reported outcomes (PROMs)

• How can quality of care be measured?
• Which quality indicators are relevant for patients and which are relevant for other stakeholders?
• Value-based pricing: How can patient-reported outcomes be used to evaluate new technologies and medicines?

Quality-oriented management of patients, e.g. through quality transparency and public reporting

• What quality information is understandable and relevant for patients? How should this information be visualized?
• To what extent are decisions for or against service providers influenced by quality information?
• How can monitoring and shared decision making contribute to quality improvement?

Care planning, e.g. hospital capacity planning in Switzerland / hospital planning in Germany

• How does planning according to service areas and service groups work?
• What role does the need for care play in hospital capacity planning?
• How do you achieve an optimal balance between quality, accessibility, and cost-effectiveness?

Process management in hospitals, e.g. value stream mapping of the perioperative process

• Which primary and secondary processes take place in the hospital and how are they connected?
• How can these processes be optimized?
• How can the performance of these processes be measured?
• What impact do processes have on efficiency and medical quality?

Clinical decision support, e.g. for cancer diagnostics

• What algorithms underlie clinical decision support systems?
• What benefits and risks can clinical decision support systems have?
• How can clinical decision support systems be integrated into everyday clinical practice?

Health economic evaluation, i.e. medical-economic evaluation of the introduction of innovations in the healthcare system

• How can the impact of an innovation on the effectiveness and costs of medical care be measured?
• When should a medical innovation be implemented across the board?
• How should the results of health economic evaluations be interpreted from different perspectives?

Digital maturity measurement, e.g. of hospitals

• How can the digital maturity of service providers be measured?
• How can a service provider compare its digital maturity with competitors?
• What is the connection between digitalization, profitability and medical quality?

Machine learning in the healthcare sector

• What is machine learning and how can it be used in healthcare?
• Which machine learning algorithms can be used for which area of application?
• What data and systems are required?
• What benefits and risks can machine learning have for my organization?