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Introduction to Bika Health

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1. Bika Health configuration

In addition to the standard Bika LIMS setup, more items pertaining to health care labs need to be configured to use the system to its optimum. In many instances however the additional data elements are not used in core LIMS functionality and typically belong in an EMR or HIS

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2. Creating a Case

Clinical Cases batch samples together per 'Patient Disease Event' for analysis, it may include both human and food, water or other relevant samples. A number of additional attributes, e.g. symptoms, are captured per Case.

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After creating a Case, the user lands on its AR creation page

Case Analysis requests

New Case Analysis Requests

See the  Creating Analysis Requests (ARs) in the LIMS manual for AR Creation.

A Case, or disease episode, may include human as well as environmental samples.

Adding ARs to an existing Case

Users may also add ARs to and existing Case on it,

Add ARs to existing Clinical Case


 or on the AR Create or Edit pages

Assign Case on AR







3. Patients

3.1. Create, View and Edit Patients

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3.2. Patient Results History


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3.3. Patient Cases, Samples and Analysis Requests


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4. Micro-Biological analyses

Micro-biological species identification and sensitivities via susceptibility testing (AST) using disk diffusion and minimum inhibitory concentration evaluation (MIC) methods are discussed in the LIMS part of the manual

In Bika Health they are applied in similar fashion and reference by the human and animal samples the tests are carried out on

Please see Micro-Biological analyses in the LIMS manual



5. Anonymous Patients. Quicker Case and AR creation

Some samples may be received by the lab as with just the Referrer's Patient ID on it and no further Case or Patient information provided. The objectives of the Anonymous Patient workflow is to bypass redundant Case creation not required for these patients. It gives prominence to the Patient Client ID in lists, views, query parameters and results reports, to make it easier for clients to navigate and interpret their data

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« December 2018 »