Zonov HIS Agent

Hospital workflow capture for OT, pharmacy, finance, claim and registration on approved HIS domains. Voice fallback included.

Zonov HIS Agent — Comprehensive Project Description # Overview Zonov HIS Agent is a browser extension and integration toolkit designed to capture, map, and streamline hospital information system (HIS) workflows directly from approved HIS domains. It focuses on operating theaters (OT), pharmacy, finance, claims, patient registration, and inpatient (IPD) workflows by observing in-browser UI events, extracting contextual data, and providing reliable automation and assistive features such as voice fallback, session persistence, and secure bridge communications with remote APIs. The agent is intended for healthcare informatics teams, HIS administrators, clinicians, and integrators who need a light-weight, non-intrusive way to collect, standardize, and synchronize clinical and administrative events with external services. ## What this item does — in plain terms - Observes and captures user interactions: The extension injects lightweight content scripts that observe DOM changes, form interactions, navigation events, and network activity on approved HIS domains. It converts UI events into structured payloads that represent clinically relevant actions (e.g., order placed, medication dispensed, operation started). - Standardizes and maps fields: Using configurable mapping rules and an extensible vocabulary, the agent maps vendor-specific field labels and controls to canonical field names for downstream processing. This reduces manual rework and ensures consistent semantics across different HIS implementations. - Provides voice and accessibility support: Zonov HIS Agent includes a voice fall-back and capture module to let clinicians dictate events or interact hands-free when desirable. This increases adoption in real clinical environments where keyboard use may be limited. - Bridges to backend services: The extension communicates with a companion API (optionally self-hosted) for event storage, analytics, and projection rebuilding. It can work with local development endpoints for testing and with production endpoints for live integrations. - Enables admin and review features: An admin UI and mapping review tools help integrators define and refine mappings, test extraction rules, and verify payloads before going live. ## Why users should install it - Non-disruptive workflow capture: The extension works within the browser and does not require changes to an existing HIS backend, making it a low-risk option to start capturing structured workflow data. - Faster integration time: By extracting structured events directly from the UI and supporting a mapping review workflow, integration times drop significantly. Teams avoid months of backend changes and can instead iterate on mapping rules. - Improved data quality: Mapping to canonical fields reduces semantic drift and manual reconciliation, producing cleaner datasets for analytics, billing, or reporting. - Clinician-friendly features: Voice fallback, session continuity, and lightweight UI helpers reduce friction for clinicians and improve the likelihood of sustained adoption. - Supports compliance and audits: Structured capture provides reproducible evidence of workflow events that can be valuable for internal audits and regulatory reporting. The extension can be configured to only run on allowlisted domains to reduce surface area. ## Key features and capabilities 1. Domain-scoped capture - The extension only activates on allowlisted domains configured in the manifest and admin UI. This keeps monitoring targeted to approved HIS sites and reduces privacy concerns. 2. Configurable content extraction - Extraction rules are modular and can be updated without redeploying the extension; integrators can craft precise selectors, heuristics, and post-processing rules to extract values from complex UI components, nested frames, or dynamic widgets. 3. Canonical field mapping - The agent supports an internal canonical vocabulary plus project-specific extensions, enabling consistent field naming across multiple hospitals and vendor systems. 4. Admin mapping review UI - A web-based review tool allows mapping authors to inspect captured events, propose mapping rules, run example payloads, and iterate until extraction accuracy reaches desired thresholds. 5. Voice fallback and offline capture - For environments where typing is impractical, the voice module converts spoken text to structured snippets and attaches them to the appropriate session context. Events can be buffered offline and synced when connectivity returns. 6. Secure communication and host permissions - Communications with remote APIs use HTTPS and token-based authentication. Host permissions are scoped tightly in the manifest to minimize access. The extension follows principle of least privilege for its declared permissions. 7. Web accessible resources and plugin modules - The extension exposes assets and module hooks that integrators can extend for additional agents — for example, specialized projections for OT, IPD, or pharmacy workflows. 8. Lightweight and performant - Scripts are designed to be minimal and to run at appropriate document lifecycle events (document_start, document_idle) to minimize interference with the host application. 9. Developer tooling and local testing - The repository includes scripts and utilities to run a local API, seed mappings, and migrate sample configurations between environments for quick testing. Detailed user-focused explanations Who benefits most and why - Hospital IT and Integration Teams: Zonov HIS Agent reduces backend integration work by extracting structured events from the client side. This reduces dependence on vendor-specific integration points and accelerates pilot projects. - Clinical Informatics and Quality Teams: By providing consistent canonical fields and rich contextual metadata, the extension enables better-quality analytics, care pathway measurement, and retrospective review. - Finance and Billing Teams: Events captured at the point of action (for example, chargeable procedures started or medication dispensed) help reconcile transactions and reduce missed billing opportunities. - Operations and Process Improvement: Structured capture enables process cycle-time measurements and bottleneck analysis without intrusive changes to hospital systems. Real-world scenarios and examples 1) Operating Theater Turnover Analysis - What it does: Captures timestamps and context for key OT events — patient in, anesthetic start, incision, procedure end, patient out — then maps the raw fields to a standard projection used for throughput analysis. - Why install: Hospitals can measure OT utilization precisely, identify delays between stages, and optimize scheduling and staffing. 2) Pharmacy Dispense Audit - What it does: Monitors dispense workflows, captures medication identifiers and quantities, and ties dispense events to patient context and the ordering clinician. - Why install: This helps detect discrepancies, streamline reconciliation with the electronic medical record, and improve inventory forecasting. 3) Claims and Billing Support - What it does: Extracts claimable event markers from clinical workflows and annotates them with necessary billing metadata. - Why install: Reduces missing charge events and provides a straightforward feed for downstream billing systems or audits. 4) Rapid Prototyping for Integrations - What it does: Allows vendors and internal teams to test mapping strategies on a live HIS instance without changing backend code by iterating mapping rules in the admin review UI. - Why install: Cuts proof-of-concept timelines from months to days. Security, privacy, and governance Data minimization and domain scoping - Zonov HIS Agent is designed to only collect fields and events necessary for a configured projection. The extension's host permissions and content script matches are intentionally narrow to minimize unintended capture. Local buffering and encryption - When offline buffering is enabled, captured events are encrypted at rest using browser storage APIs with an additional application-level encryption layer. This reduces risk if a device is lost. Access control and audit logs - All outgoing events are logged with timestamps and session identifiers. Admin users can review event submission logs via the companion API and revoke access tokens if needed. Privacy considerations - The extension supports PII redaction rules: integrators can mark certain fields as sensitive to be removed or hashed before transmission. This lets teams comply with internal privacy policies and regulatory requirements. How the agent integrates with existing systems Integration patterns - Event forwarding: The extension can forward structured events to an ingest API that either stores them directly or transforms them into formats expected by downstream systems. - Queueing and durable storage: For environments with intermittent connectivity, events are queued and retried until acknowledgment from the server. - Projection rebuilding: The backend supports projection rebuilds from raw events, simplifying schema evolution and allowing new reports to be generated from historical data. ## Installation and setup guide (high-level) 1. Obtain allowlist and API credentials - Request or configure the list of approved HIS domains and acquire API keys for the ingest endpoint. 2. Install the extension in developer or production mode - In developer mode use the browser's extension management page to load the unpacked `extension/` folder. For production, package and distribute through your enterprise policy management system or the Chrome Web Store (if public distribution is desired). To upload the extension to Chrome (developer/local testing): 1. Open Chrome and navigate to `chrome://extensions`. 2. Enable "Developer mode" (toggle at top-right). 3. Click "Load unpacked" and select the `extension/` folder from this repository. 4. The extension will load; use the extension's Options or Settings page to configure `BACKEND_API_URL` and local keys. For enterprise distribution, package and deploy using your organization's MDM/enterprise policy tools or publish to the Chrome Web Store following Google's developer docs. 3. Configure mappings and review - Use the admin mapping review UI to capture sample sessions and define canonical mappings. Iterate until accuracy meets acceptance criteria. 4. Validate and pilot - Run a short pilot with a representative clinical team. Validate payloads, event frequency, and mapping correctness. 5. Rollout and monitor - Roll out progressively and monitor ingest metrics, error rates, and mapping drift. Use the admin UI to push mapping updates as needed. Developer and extension maintenance notes - Content script timing: Ensure heavy parsing happens at `document_idle` to avoid delaying page load. - Selector resilience: Prefer attribute-based selectors and fallback heuristics to reduce breakage when page layouts change. - Versioning: Maintain clear compatibility notes between extension versions and backend projection versions. FAQs and common support questions Q: Will this slow down my HIS? A: No — the extension is designed to be lightweight and to perform most work asynchronously. Content scripts are selective and only run on allowlisted domains. Q: Can I restrict which fields get sent? A: Yes. Mapping and redaction rules control exactly which fields are forwarded. Sensitive fields can be excluded or transformed. Q: How do I test mappings safely? A: Use the included scripts to run local test servers and the mapping review UI to inspect events before enabling production forwarding. Q: Does the extension store patient data locally? A: It may buffer events for resilience, but buffering can be configured to minimize retention and to encrypt stored data. Operational and monitoring guidance - Metrics to track: event ingestion rate, event retry rate, mapping review acceptance rate, number of unmapped fields per session, and error logs from content scripts. - Alerting: Set alerts for sudden spikes in unmapped fields or a drop in ingestion rates which could indicate a layout change on the HIS. Extensibility and customization - Agent modules: The codebase is modular — you can add domain-specific extractors or projection handlers in `agents/` and `modules/` directories. - Mapping language: Mapping rules are human-readable and support simple transforms. For complex transforms, you can extend post-processing hooks in the backend. Testing and quality assurance - Unit tests: The repository contains tests for mapping logic and projection rebuilding. Run tests locally during development and include mapping regression tests when changing selectors. - Integration tests: Use the `scripts/seed_form_mappings.py` and local API scripts to seed mappings and run end-to-end tests in controlled environments. Troubleshooting checklist If you see missing events: 1. Verify content script matches and timing (document_idle vs document_start). 2. Confirm selectors still match the live page. 3. Check buffering and network retry logs in the background service worker. If payloads have unmapped fields: 1. Open the mapping review UI and replay a sample session. 2. Add mapping rules for newly discovered fields. Roadmap and future improvements - Improved ML-assisted mapping suggestions: Use pattern recognition to recommend mappings from historical data. - Standardized healthcare ontologies: Optionally integrate with ontologies like SNOMED CT or LOINC for stronger semantic interoperability. - Enterprise deployment tooling: Streamlined packaging and MSI/MDM friendly distribution workflows. Conclusion — why install Zonov HIS Agent now Zonov HIS Agent gives teams a pragmatic, low-risk path to extract structured clinical and administrative events without modifying legacy HIS backends. It speeds integration projects, improves data quality, and provides clinician-friendly features that encourage adoption. For hospitals and healthcare integrators seeking to accelerate digital transformation, increase the fidelity of captured events, and reduce time-to-insight for operational analytics, Zonov HIS Agent is a lightweight but powerful tool that bridges the gap between UI-driven workflows and modern data systems. Privacy policy https://zonovai.vercel.app/privacy-policy-3