Isabel is a clinical
decision support and knowledge mobilizing system. Isabel delivers as
a web-based standalone system and has been interfaced with electronic
patient/medical record. It has 2 component systems:
a)
Isabel Diagnosis Reminder System (IDRS)
Isabel gives the clinician a reasonable and relevant list of likely diagnoses for a given set of clinical features (symptoms, signs, results of tests and investigations etc).
Isabel is designed (by clinicians) to be used by clinicians (learned intermediaries).
Following on from history taking and clinical examination Isabel assists the learned intermediary by reconciling (pattern matching) patient data sets with data sets as described in medical literature (textbooks and journals).
IDRS is very different from many clinical decision support systems (CDSS) in that Isabel is able to assist clinicians at the starting point of a patients clinical journey (clinical features and the construction of a differential diagnosis) and thereafter at decision nodes that require corroboration with knowledge.
Isabel has taxonomy of over 10,000 diagnostic categories.
Each diagnostic category possesses a kernel of knowledge hence the term tutored taxonomy.
This kernel of knowledge is currently used to concept search (not key word search) static knowledge silos (knowledge that resides on our database textbooks, journal abstracts, annotated images, treatment algorithms) and can be used to search similar non-static knowledge silos (CDrom based or web based knowledge/content).
Isabel does not generate but mobilizes disparate knowledge/content using its unique tutored taxonomy and delivers this into the clinicians workflow.
Isabels diagnostic categories have the client option of tagging (e.g. SnomedCT). Clients could use Isabels tutored taxonomy and/or SnomedCT tagging to retrieve knowledge into the clinician's workflow.
Isabel is different from many knowledge resources in that starts at the same point clinicians and patients frequently begin i.e. with clinical features followed by the construction of a differential diagnosis. Most knowledge resources require the clinician to arrive at a diagnosis before knowledge support can be provided.
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