17938580. EXPERTISE AND EVIDENCE BASED DECISION MAKING simplified abstract (International Business Machines Corporation)
Contents
- 1 EXPERTISE AND EVIDENCE BASED DECISION MAKING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 EXPERTISE AND EVIDENCE BASED DECISION MAKING - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
EXPERTISE AND EVIDENCE BASED DECISION MAKING
Organization Name
International Business Machines Corporation
Inventor(s)
Phillip Gregory Lopez of Poughkeepsie NY (US)
Jung Wook Park of Poughkeepsie NY (US)
David C. Reed of Tucson AZ (US)
Elliott Picker of New Hamburg NY (US)
EXPERTISE AND EVIDENCE BASED DECISION MAKING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17938580 titled 'EXPERTISE AND EVIDENCE BASED DECISION MAKING
Simplified Explanation
The abstract describes a method, system, and computer program product for enhancing expertise and evidence-based decision making in knowledge-based applications. It involves differentiating between average users and expert users, using real-time feedback from experts to update and embed expert knowledge into a predefined baseline command sequence model for a given task or problem.
- Explanation of the patent/innovation:
- The innovation focuses on improving decision-making processes in knowledge-based applications by incorporating feedback from expert users. - It distinguishes between average users and expert users to tailor the decision-making process accordingly. - The system updates and embeds expert knowledge into a predefined model to enhance the decision-making capabilities for specific tasks or problems.
Potential Applications
The technology can be applied in various fields such as healthcare, finance, engineering, and customer service to improve decision-making processes and enhance overall performance.
Problems Solved
- Enhances decision-making processes in knowledge-based applications. - Tailors decision-making based on user expertise levels. - Incorporates real-time feedback from experts to improve decision accuracy.
Benefits
- Improved decision-making capabilities. - Enhanced user experience. - Increased efficiency and accuracy in task completion.
Potential Commercial Applications
"Enhancing Expertise and Evidence-Based Decision Making in Knowledge-Based Applications" can be utilized in industries such as healthcare analytics, financial services, customer relationship management, and engineering design optimization.
Possible Prior Art
There may be prior art related to decision-making systems in knowledge-based applications, but the specific method of incorporating real-time feedback from expert users to update and embed expert knowledge into a predefined model may be a novel approach.
Unanswered Questions
The article does not address the potential privacy and security implications of collecting and utilizing real-time feedback from expert users. It would be important to understand how the system ensures the protection of sensitive information.
What are the scalability limitations of this technology when applied to large-scale knowledge-based applications?
The scalability of the system when dealing with a vast amount of data and users is not discussed in the article. Understanding the potential limitations in handling large-scale applications would be crucial for implementation in real-world scenarios.
Original Abstract Submitted
A method, system, and computer program product are disclosed for implementing enhanced expertise and evidence based decision making in knowledge-based applications. Expertise and evidence based decision making operations include differentiating between an average user and an expert user, and using real time feedback from expert users to update and embed expert knowledge into a predefined baseline command sequence model for a given task or problem.
