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Describe the three primary ethical issues Clinical Decision Support Systems. Compare and contrast the two main...

Describe the three primary ethical issues Clinical Decision Support Systems.

Compare and contrast the two main types of CDSS .

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Ans) The clinician must be able to make informed decisions on when to seek out, follow, or ignore the clinical decision support system's advice. In addition, knowledge bases must be properly maintained, and vendors should inform the client about how the systems were developed and tested, the source of the rules in the system, expectations of the user, and type of user training required.

- The two main types of CDSS are knowledge-based and non-knowledge-based :

An example of how a clinical decision support system might be used by a clinician is a diagnosis decision support system. A DDSS requests some of the patients data and in response, proposes a set of appropriate diagnoses. The pysician then takes the output of the DDSS and determines which diagnoses might be relevant and which are not,[2] and if necessary orders further tests to narrow down the diagnosis.

Another example of a CDSS would be a case-based reasoning (CBR) system. A CBR system might use previous case data to help determine the appropriate amount of beams and the optimal beam angles for use in radiotherapy for brain cancer patients; medical physicists and oncologists would then review the recommended treatment plan to determine its viability.

Another important classification of a CDSS is based on the timing of its use. Physicians use these systems at point of care to help them as they are dealing with a patient, with the timing of use being either pre-diagnosis, during diagnosis, or post diagnosis.[citation needed] Pre-diagnosis CDSS systems are used to help the physician prepare the diagnoses. CDSS used during diagnosis help review and filter the physician's preliminary diagnostic choices to improve their final results. Post-diagnosis CDSS systems are used to mine data to derive connections between patients and their past medical history and clinical research to predict future events. As of 2012 it has been claimed that decision support will begin to replace clinicians in common tasks in the future.

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