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#Omer ismail wiki how to#
#Omer ismail wiki generator#

Main difference: Source of the data for DISI.

Goal overlap: FHIR schema, something that can easily be used on a single node.

Looking for ways to align and collaborate.

#Omer ismail wiki how to#

Working on similar analytics solution for the DISI project for how to do large scale national level analytics.

Moving forward with Query Library (so user doesn't need to touch Spark or FHIR at all).

: Squad call on using FHIR IGs and implications for the Analytics EngineĪttendees: Bashir, Piotr, Burke, Grace P, Daniel, Mozzy, Suruchi, TendoĪttendees: Ryan Chrichton (Jembi), Robin Murphy (Jembi), Allan, Bashir, Burke, Daniel, Ian, Suruchi, Whayes (Jembi)Ģ021-07 Squad Call & Discussion with Jembi DISI DevsĪttendees: Ryan Crichton SWE & Arch & Robin Murphy & Wayes (Jembi), Bashir, Burke, Daniel, Allan, Piotr, Piumal, Suruchi, Grace P Limitation: FHIR2 module doesn't accept bundles as-is have to do some post-processing to break down into multiple resource bundles (follow-up with Ian?) (note: 1m patients consumed about 8GB of hard disk space)

Not realistic nor accounts for follow up later. If patient tests positive, the next step is "death". Note: In this particular state diagram, there is no loop-back mechanism. The state diagram gets mapped to a JSON file. Have to create your own ones for detailed disease workflows.

Has example "State Diagram" models (like the HIV one below). These modules are informed by clinicians and real-world statistics collected by the CDC, NIH, and other research sources. State Diagrams describe a progression of states and the transitions between them. Each module models events that could occur in a real patient’s life. Synthea’s Generic Module Framework (GMF) enables the modeling of various diseases and conditions that contribute to the medical history of synthetic patients. Generate synthetic data and upload results to OMRS. De-couple the design from the engine so it doesn't need to run at same time as generator.Ĭonstraints: Must be based on Q&A table used by Ampath

#Omer ismail wiki generator#

This generator needs to create a varying number of patients (10, 100, 1,000,000). Ideal solution: Generate FHIR bundles to be imported into a FHIR server. Even anonymized real-life data still has a risk of being traced back to original people. Current test data set we have is limited. What: This talk explains how Synthea can be used to generate realistic results, then how to upload results to OMRS or a FHIR server : Synthea HIV Patient Generator and Uploader presentation by Omar Ismail of GoogleĪttendees: Omar Ismail, Burke Mamlin, Bashir Sadjad, Kimaina Allan, Mozzy Mutesa, Piotr Mankowski, Steven Wanyee, Grace Potma Would it be useful to have a streaming process that creates a FHIR-based data store that replicates what is in OpenMRS?.The resources that are mapped to "fhir" within dbz_event_to_fhir_config.json.Debezium is used to track events for any resources that have FHIR mappings and fetches the FHIR resource and stores it into parquet.

Burke Mamlin suggested we might treat the current FHIR approach as one transform/schema approach and introduce alternatives.Bashir Sadjad described how – at least to date – Pandas (i.e., python) has been the target for data queries.Mike Seaton said PIH looking for a data store (separate from production) against which they can efficiently run SQL queries.