TY - JOUR
T1 - Informed Consent and Shared Decision-Making in Modern Medicine
T2 - Case-Based Approach, Current Gaps and Practical Proposal
AU - Tarantini, Giuseppe
AU - Fraccaro, Chiara
AU - Porzionato, Andrea
AU - Van Mieghem, Nicolas
AU - Treede, Hendrik
AU - Shammas, Nicolas
AU - Szerlip, Molly
AU - Thourani, Vinod
AU - Gerosa, Gino
AU - Marchese, Alfredo
AU - Speziale, Giuseppe
AU - Ludes, Bertrand
AU - Pollak, Stephen
AU - Vanezis, Peter
AU - Ferrara, Santo Davide
N1 - Publisher Copyright:
© 2025 The Author(s)
PY - 2025/4/15
Y1 - 2025/4/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85217086199&partnerID=8YFLogxK
U2 - 10.1016/j.amjcard.2025.01.015
DO - 10.1016/j.amjcard.2025.01.015
M3 - Article
C2 - 39870321
AN - SCOPUS:85217086199
SN - 0002-9149
VL - 241
SP - 77
EP - 83
JO - American Journal of Cardiology
JF - American Journal of Cardiology
ER -