A clinician uses an EHR with CDS in a case analysis scenario to aid in diagnosis. The clinician records the patient’s age and gender, then prepares to enter specific clinical findings, history, symptoms, etc. As the physician records symptoms of
,
, and
, a ranked list of common diseases, associated with these clinical findings, is dynamically presented to the clinician. At the top of this list is
Concept |
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t | 73211009 |Diabetes mellitus| |
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|
. A scale is used to indicate the level of support for each disease. The CDSS then prompts the clinician for additional findings to help differentiate between diseases. Once a confirmed diagnosis is made, the differential diagnoses can be marked as
,
, or
. An additional finding of
Concept |
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t | 17173007 |Always thirsty| |
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is recorded and the level of support for each disease in the list is adjusted accordingly. Support for
Concept |
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t | 73211009 |Diabetes mellitus| |
---|
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has now increased from minimal evidence to sufficient evidence. The clinician then selects
Concept |
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t | 44054006 |Type 2 diabetes mellitus| |
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which opens an evidence screen displaying the recorded findings which either strongly support, support, or do not support the chosen disease. The clinician is then presented with a link that displays all the PubMed articles associated with
Concept |
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t | 44054006 |Type 2 diabetes mellitus| |
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|
.