Conclusion on Electronic Decision Support
Dr. Westbrook is making a conclusion on electronic decision support. If we are hoping to obtain the benefits of AI in supporting clinicians to deliver better care for patients, we need to understand the decision making context.
Who’s making the decisions? When are they being made? When do they need support? The researchers need to focus on what are the big safety and quality issues. It does not depend on the capability to design some decision support. Instead, clear analysis of the problem is quite more important. The researchers need to define the biggest problems, and where can they provide decision support for those problems.
We also need to look at choice architecture, and how can we nudge people to make the right decisions and better decisions? These are the challenges that we currently have. What researcher can do now is to evaluate and monitor the right outcomes that intended to gain. More measurement and techniques are required to implement so that electronic decision support can be improved in the future.
AI and Big Data in Global Health Improvement
AI and Big Data in Global Health Improvement
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