Artificial Intelligence (AI) technology is the buzzword in healthcare tech. AI has tremendous prospective to turn raw data to give meaningful insights to providers to improve patient care. Artificial Intelligence can cut down on the mental workload of a physician by assisting them efficiently and making more time available to concentrate on the patient.
What is ethical AI in Healthcare?
Ethical AI is when the technology ruminates the complete impact on AI usage on all of the stakeholders involved in the healthcare sector. This may include; suppliers, staff members, patients, employers, and the whole society. The main aim of ethical Artificial Intelligence is to stop unethical or biased use of this technology.
Artificial Intelligence has the power to impact everyone’s life positively, supporting healthcare delivery and enhancing the accuracy of diagnosis. Healthcare technology solutions should design AI by keeping people in mind. Ethical usage of AI considers the following factors,
- Impact on the world and not only on the immediate user.
- Helps to mitigate any biases.
- Keep up transparency by openly stating the security measures when it comes to data storage and transfer.
- Proper representation of users needs to be ensured.
Importance of ethical AI
In the 9th annual Becker’s Hospital Review session Cerner associates, senior physician executive and the senior vice president discussed the ethical use of AI and data in the healthcare industry. The main points emerging from the meeting included;
- An Ethical AI system considers socioeconomic factors in addition to clinical data.
- For the best outcome, it is necessary that both data and ethical considerations are taken into account.
- Health equity cannot be achieved if only clinical indicators are used to support healthcare decision-making.
Recommendations for healthcare organizations to use ethical AI
- It is crucial to impart an ethics-based approach throughout all areas of work.
- A culture can be created on equity and diversity in which all contributions are heard and taken into due consideration.
- An inventory should be conducted to comprehend how AI is being designed with IT, operational and clinical workflows.
- Artificial intelligence solutions can be monitored by developing a strategy to reduce biases and assess the final results.
- Transparency should be confirmed to address any negative AI-related outcomes.
Moving Ahead
The healthcare industry is discovering ways to integrate AI technology into Electronic Medical Records (EMR) software solutions and into other operations. It is everyone’s responsibility in the industry to ensure the ethical usage of AI by considering both clinical and nonclinical data to make way to transform healthcare experience and enhance health outcome levels.
