Decision support models vary in their effectiveness for different settings and problems. Write a post in which you discuss the differences between models, including neural networks, rules-based engines, and pattern-recognition system

HIM4650 Decision Support and Quality Management in Health Information Management.

Unit 3 Discussion

DQ1 Decision Support Functions and Models

Decision support models vary in their effectiveness for different settings and problems. Write a post in which you discuss the differences between models, including neural networks, rules-based engines, and pattern-recognition systems. Identify what factors make each of the models suitable for solving specific kinds of decision-making problems. Include some of the specific ways each of these models can be used, and explain why one model may be more appropriate for addressing a particular problem.??

 

DQ2 Acceptance with Data

 

Some providers struggle with using CDS and new technology functions. What are some common CDS data functions used by providers that may encourage or support their use? Consider the ability to edit, extract, and evaluate data. Also provide an example of how the use of data may encourage provider acceptance.


HIM4650 Decision Support and Quality Management in Health Information Management.
Unit 3 Discussion
DQ1 Decision Support Functions and Models
Decision support models vary in their effectiveness for different settings and problems. Write a post in which you discuss the differences between models, including neural networks, rules-based engines, and pattern-recognition systems. Identify what factors make each of the models suitable for solving specific kinds of decision-making problems. Include some of the specific ways each of these models can be used, and explain why one model may be more appropriate for addressing a particular problem.??
 
DQ2 Acceptance with Data
 
Some providers struggle with using CDS and new technology functions. What are some common CDS data functions used by providers that may encourage or support their use? Consider the ability to edit, extract, and evaluate data. Also provide an example of how the use of data may encourage provider acceptance.

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