Managing Clinical Incidents – the Legal Risks and Professional Ethics

This abstract has open access
Abstract Description

Clinical incidents refer to unintended harm or injuries caused to patients during medical treatment or care.  They carry significant legal risks and professional ethical considerations for frontline doctors.


Legal risks

(1) Civil claims: Doctors may be sued for medical malpractice if the patients believe that the doctor's actions or inactions caused them harm or injuries.  If the doctors are proven to be negligent or provided substandard care, the doctor may face legal liability for damages.


(2) Medical council disciplinary hearings: Doctors who are accused of malpractice may also face investigations from Medical Council of Hong Kong where suspension or revocation of licenses are possible.


(3) Criminal charges: In extreme cases, doctors may face criminal charges for gross negligent manslaughter.  For example, a doctor who intentionally or recklessly causes harm to patients may be charged by the criminal court.


Professional ethics

(1) Duty to disclose: Doctors have a professional and ethical obligation to disclose clinical incidents to their patients and their families based on the open disclosure policy of the healthcare organizations.


(2) Duty to report: Doctors have a duty to report clinical incidents to their employers and regulatory bodies as part of standard incident management procedures.


(3) Duty to apologize: Doctors have a professional and ethical obligation to apologize to patients and their families for clinical incidents.  A proper apology may prevent the situation from escalating and may facilitate healing and closure for the patients and their families.


To manage the risks and obligations, doctors and the healthcare organizations should work together in providing clear policies and procedures in place for reporting and responding to clinical incidents.  They should also communicate openly and transparently with patients and their families, and seek support from colleagues and professional organizations as needed.


(Declaration: This abstract was prepared with the help from ChatGPT.)

Abstract ID :
HAC1336
Submission Type
The Chinese University of Hong Kong

Similar Abstracts by Type

Abstract ID
Abstract Title
Abstract Topic
Submission Type
Primary Author
HAC1371
Speaker
Prof. Simon Siu-man NG 吳兆文
HAC1409
Speaker
Dr. Calvin Yeow-kuan CHONG 張耀君
HAC1413
Speaker
Dr. Daniel King-hung TONG 唐琼雄
HAC1430
Speaker
Dr. King-fai CHENG 鄭璟暉
HAC1410
Speaker
Prof. Tim Kwang-ting CHENG 鄭光廷
HAC1432
Speaker
Dr. Rock Yuk-yan LEUNG 梁毓恩
94 hits