Usage examples

On this page you will find some working examples that use Atomik in different ways. We are working on this right now so you can get a pretty technical idea of what you can do, the considerations you need to make, and how to build systems following the openEHR methodology.

Please let us know if you are interested in a specific example or guide we can build for this page.

Patient dashboard

This is a example application that allows to view a single patient demographic information, mixed with basic clinical information about vital signs. These kinds of dashboards are generally what the physician sees first when they select a patient in an Electronic Medical Record, and from where they start to record the current visit and make clinical decisions about the medical tests they will order to detect a condition or diagnosis, and plan the treatments or recommendations for that patient.

Note this example could be modified/extended to cover other areas of the patient clinical information, like showing immunization records, last test results, chronic diseases, current conditions (e.g. pregnancy), allergies, last surgeries, etc.

Full example soon...

Integration of radiology flows

In this example a patient goes through a radiology flow, in certain checkpoints data is generated and consumed. Some of the data is administrative (scheduling, admission), some of the data is strictly images (following the DICOM standard), and some of the data is clinical (radiology reports).

This example shows the integration of different systems, including Atomik, to show how these radiology flows could be implemented and be 100% paperless.

Full example soon...

Cohort design

In this example a population of patients is filtered and classified using Atomik's Aggregated Queries feature, which allows to mark EHRs with a certain tag if they comply with a series of combined filters like age range, sex, chronic diseases, medication, conditions, lab results, etc.

Then a cohort is a set of EHRs marked with the same tags, which allows to implement many use cases, from pre-selection of patients for clinical trials, to selection of patients to participate in certain care plan (like a care plan for diabetic patients in certain age range and with certain comorbidities).

Full example soon...