State or federal law or regulation related to patient safety
Select a state or federal law or regulation related to patient safety that has been implemented within the last five years requiring hospitals or any other health care organizations to change the way they manage the delivery of care. Discuss the changes that have occurred because of this law or regulation.
Additionally, discuss the technology associated with either your selected law/regulation or a similar one. Are there ethical dilemmas that have resulted from technology changes when delivering care to patients or patient safety? Explain the dilemmas and how they might be resolved.
Sample Solution
The law or regulation I will discuss is the Patient Safety and Quality Improvement Act of 2005 (PSQIA). This law was passed in response to the Institute of Medicine's report, "To Err is Human: Building a Safer Health System." The report found that as many as 98,000 people die in hospitals each year as a result of preventable medical errors. The PSQIA requires hospitals and other health care organizations to establish patient safety organizations (PSOs). PSOs are responsible for collecting and analyzing data on patient safety events, and developing and implementing interventions to prevent future errorsFull Answer Section
The PSQIA has led to a number of changes in the way hospitals and other health care organizations manage the delivery of care. These changes include:- Increased emphasis on patient safety culture.
- Increased use of data to identify and prevent errors.
- Increased use of technology to improve patient safety.
- Increased patient privacy protections. Hospitals and other health care organizations need to take steps to protect patient privacy when collecting and storing patient data electronically. This could include using encryption and other security measures to protect patient data.
- Bias mitigation strategies. Hospitals and other health care organizations need to develop bias mitigation strategies when using technology to improve patient safety. This could include using algorithms that are not based on historical data, or using multiple algorithms to check for potential bias.