HubPublic
PackagePublished package

@pasar6987/sf-health-interoperability

Breaking down silos between systems. Manages interop topics, subscriptions, trigger criteria, notification resources, and the filters that enable seamless health data exchange across platforms.

Published package · Latest published 1.0.1 Mar 4, 2026 · 9 datasets / 3 measures in the latest review · Updated Mar 11, 2026

Release path

1.0.1Published Mar 4, 2026

Publisher

@pasar6987Published Mar 4, 2026

Structure snapshot

9 datasets3 measures · 95 dimensions

Semantic Graph

Relationship counts appear after the graph loads.

Loading graph

Package graph is loading

Package relationships will appear when the summary is ready.

Reference context

Secondary package facts stay compact

Updated
Mar 11, 2026
Visibility
Public hub listing
License
MIT
Created
Mar 4, 2026

Reference facts

Secondary package facts after the usage path is clear

Licensing, categorization, ownership, and linked metadata stay below the runnable path so the page reads in the right order.

Format

OSI

Upstream

developer.salesforce.com/docs/atlas.en-us.object_reference.meta/object_reference

Repository

Not linked

Owner

@pasar6987

Organization

Independent

License

MIT

Visibility

Public hub listing

Publisher

@pasar6987Published Mar 4, 2026

Latest published version

1.0.1Published Mar 4, 2026

Tags

salesforcecrmhealthinteroperability

Schema preview

Schema 0.1.1

SDK handoff

Use this package in code and AI

After structure review, move straight into typed reads with load() or compact LLM context with to_prompt().

Python SDK

Python example for @pasar6987/sf-health-interoperability

This example uses the current package ref and, when preview data is available, fills in real dataset names from the published summary.

import rawctx

model = rawctx.load("@pasar6987/sf-health-interoperability")
prompt = rawctx.to_prompt(
    "@pasar6987/sf-health-interoperability",
    datasets=["InteropTopic", "InteropTopicDetail"],
    max_tokens=2000,
)

print(model.datasets)        # ["InteropTopic", "InteropTopicDetail", "InteropTopicFilter"]
print(model.measures)        # [Measure(name="InteropTopicSubscription.CheckInInterval", ...), Measure(name="InteropTopicSubscription.MaximumEventCount", ...), Measure(name="InteropTopicSubscription.NotificationTimeout", ...)]
print(model.dimensions)      # [Dimension(name="ApprovalDate", ...), Dimension(name="CopyrightInformation", ...), Dimension(name="CopyrightLabel", ...)]
print(model.relationships)   # [Relationship(name='...', ...)]
print(prompt)

README

Package narrative and examples

Use documentation after the package clears provenance, ownership, and runnable-path checks.

@pasar6987/sf-health-interoperability

Breaking down silos between systems. Manages interop topics, subscriptions, trigger criteria, notification resources, and the filters that enable seamless health data exchange across platforms.

Overview

Count
Objects (Datasets)9
Dimensions95
Measures3
Relationships0

Objects

  • InteropTopic — Represents the interoperability topic for which notifications are sent to subscribers.
  • InteropTopicDetail — Represents the details of an interoperability topic.
  • InteropTopicFilter — Represents the properties by which an interoperability topic's notification can be filtered.
  • InteropTopicNtfcnResource — Represents the notification resource for an interoperability topic.
  • InteropTopicSubcrFilter — Represents the subscriber's criteria for filtering the interoperability topic subscription event.
  • InteropTopicSubcrParameter — Represents the parameters added to an interoperability topic subscription.
  • InteropTopicSubscription — Represents a subscription to an interoperability topic.
  • InteropTopicSubscriptionDtl — Represents the details of an interoperability topic subscription.
  • InteropTopicTriggerCriteria — Represents the criteria that trigger a notification for an interoperability topic.

Install

rawctx snapshot-download @pasar6987/sf-health-interoperability

Structure review

Inspect package structure after the usage path is clear

Use the structural review when you need the package footprint, field counts, and model paths before a deeper explorer pass.

Models1
datasets9
measures3
dimensions95
relationships0
AI context1
models/sf-health-interoperability.osi.yamlAI context included
9 datasets3 measures95 dimensions0 relationships