Unattributed Code Systems

Copyright Fragment

This fragment is available on download.html

This publication includes IP covered under the following statements.

Copyright and Registered Trademark Uses

External References

Type Reference Content
web example.org patient : http://example.org/Patient/example
web example.org organization : Example California Hospital
web example-hospital.org https://example-hospital.org
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web www.shiftinterop.org
web github.com SHIFT SLS ValueSets Implementation Guide, published by SHIFT-Task-Force. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/SHIFT-Task-Force/SLS-ValueSets/ and changes regularly. See the Directory of published versions
web shift-project.org IG © 2025+ SHIFT-Task-Force . Package SHIFT-Task-Force.slsValueSets#0.1.0 based on FHIR 4.0.1 . Generated 2026-02-04
Links: Table of Contents | QA Report
web providerlibrary.healthnetcalifornia.com Reference: Wellcare/Health Net Bulletin 24-351
web providerlibrary.healthnetcalifornia.com Reference: Pregnancy Termination - Health Net Provider Library
web providerlibrary.healthnetcalifornia.com Direct Link to the Document: 500073-Abortion-DX-Code-List.pdf
web providerlibrary.healthnetcalifornia.com Health Net Bulletin 24-351: New Laws Help Safeguard Privacy ( View Link )
web providerlibrary.healthnetcalifornia.com Health Net Medi-Cal Provider Manual (Chapter 4): Sensitive Services section ( Link to Manuals )
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web providerlibrary.healthnetcalifornia.com Health Net's bulletin 24-351 explicitly tells providers that services defined in policies like HNCA.CP.MP.496 must be:
web providerlibrary.healthnetcalifornia.com Direct PDF Link: HNCA.CP.MP.496 - Gender Affirming Procedures
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web github.com The source code for this Implementation Guide can be found on SHIFT Task Force Github Repo .
web github.com The SHIFT LEAP SLS GitHub focuses solely on:
web github.com Synthea is an effort by Mitre https://github.com/synthetichealth to create tooling to create test data that should be realistic, but is completely fabricated. As such they have "modules" for various kinds of health episodes, for which each module covers the lifecycle of that health topic.
web github.com Synthea Module Gallery
web github.com The synthea module Opioid Addiction is well aligned with our Behavioral Health use-case, as that also includes Opioid codes.
web synthetichealth.github.io Here is their graphical UI for modules and creating of new modules . It becomes very clear that doing a code match against codes in the data object is not sufficient. The module creates many encounters that are not themselves problematic, but because of a pattern (of abuse) the patient becomes understood as having Opioid Addiction… So, should the non-problematic, but behavioral displaying, encounters to be somehow detected by the SLS? If so, it is not going to do it because of some clear code. I can look at the example data to see if the condition reference these encounters, which would be one way to detect this; but that brings up the point that these indirect linkages are likely to tag everything.
web github.com Note that I think the synthea pre-built dataset has 20 patients in "Drug rehabilitation and detoxification" treatment. Synthea Sample Data
web synthetichealth.github.io Opioid Addiction
web www.google.com Prescribing Opioids for Chronic Pain and Treatment of OUD
web synthetichealth.github.io Self Harm
web synthetichealth.github.io Attention Deficit Disorder
web synthetichealth.github.io Veteran PTSD
web synthetichealth.github.io Pregnancy
web synthetichealth.github.io Contraceptives
web synthetichealth.github.io Sexual Activity
web github.com Sickle Cell Disease
web synthetichealth.github.io Cystic Fibrosis
web www.google.com Alzheimer's Disease
web synthetichealth.github.io Dementia
web synthetichealth.github.io Cerebral Palsy
web synthetichealth.github.io Spina Bifida

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