Advances in personalized medicine and Systems Biology have introduced probabilistic models and error discovery to cardiovascular care, aiding disease prevention and procedural planning. However, clinical application faces cultural, technical, and methodological hurdles. Patient autonomy remains essential, with shared decision-making (SDM) gaining importance in managing complex cardiovascular treatment options. Effective SDM relies on collaboration between providers and patients, guided by P5 Medicine principles, which combine psycho-cognitive considerations with predictive, personalized, preventive, and participatory care. Here we propose a 3-step methodological proposal for implementing SDM and enhancing consent acquisition in cardiovascular care. The approach emphasizes personalized patient engagement and the need for clear, comprehensive consent processes. It identifies and addresses significant gaps in current practices, including the complexity of consent language, information dispersion, and the specific needs of vulnerable populations. Issues of Medical Responsibility and/or Liability may raise in the case of absence of consent acquisition or invalid consent due to insufficient/incorrect information. The International Guidelines on Medico-Legal Methods of Ascertainment and Evaluation Criteria are reported. In conclusion, the paper proposes practical solutions, including the use of artificial intelligence (AI) to enhance decision-making and patient counseling, and strategies to ensure that consent processes are both thorough and legally sound and respectful to the individual's autonomy.
Informed Consent and Shared Decision-Making in Modern Medicine: Case-Based Approach, Current Gaps and Practical Proposal
Tarantini, Giuseppe;Porzionato, Andrea;Gerosa, Gino;
2025
Abstract
Advances in personalized medicine and Systems Biology have introduced probabilistic models and error discovery to cardiovascular care, aiding disease prevention and procedural planning. However, clinical application faces cultural, technical, and methodological hurdles. Patient autonomy remains essential, with shared decision-making (SDM) gaining importance in managing complex cardiovascular treatment options. Effective SDM relies on collaboration between providers and patients, guided by P5 Medicine principles, which combine psycho-cognitive considerations with predictive, personalized, preventive, and participatory care. Here we propose a 3-step methodological proposal for implementing SDM and enhancing consent acquisition in cardiovascular care. The approach emphasizes personalized patient engagement and the need for clear, comprehensive consent processes. It identifies and addresses significant gaps in current practices, including the complexity of consent language, information dispersion, and the specific needs of vulnerable populations. Issues of Medical Responsibility and/or Liability may raise in the case of absence of consent acquisition or invalid consent due to insufficient/incorrect information. The International Guidelines on Medico-Legal Methods of Ascertainment and Evaluation Criteria are reported. In conclusion, the paper proposes practical solutions, including the use of artificial intelligence (AI) to enhance decision-making and patient counseling, and strategies to ensure that consent processes are both thorough and legally sound and respectful to the individual's autonomy.| File | Dimensione | Formato | |
|---|---|---|---|
|
1-s2.0-S0002914925000396-main.pdf
accesso aperto
Tipologia:
Published (Publisher's Version of Record)
Licenza:
Creative commons
Dimensione
562.94 kB
Formato
Adobe PDF
|
562.94 kB | Adobe PDF | Visualizza/Apri |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.




