Data & Integration

About Us

Reliable care requires reliable funding. Washington will align dollars with outcomes, equity, and continuity so programs can deliver timely help in every region.

Purpose

Create a shared data backbone that supports closed-loop navigation, shared care plans, and real-time queue health. Use standard interfaces and clear consent so the right people see the right information at the right time.

What success looks like

Seamless handoffs

Referrals, handoffs, and care plans connect across providers without retyping.

Live access metrics

Time to first kept appointment and 7-day follow up visible by region and pathway.

Family portal

Families can see and update their plan through a simple portal or mobile view.

Community-ready

Community and Tribal partners can contribute data without heavy systems or cost.

Public results

Public dashboards show results that are easy to understand.

Today’s gaps

  • Multiple forms, duplicate entry, and dead-end handoffs.

  • No simple way to confirm that a referral led to a kept appointment.

  • Care plans that do not travel across settings or payers.

  • Fragmented technical standards and slow data sharing agreements.

  • Limited access for smaller community and Tribal providers.

Six-month targets

Minimum data sets

55% of providers configured (110/200).

Scope: referrals • handoffs • shared care plans

Standard consent live

6/10 top languages published.

Plain-talk versions & renewal rules

API connections

40% priority endpoints active.

Queue views for teams

9/20 navigation teams live.

Real-time time-to-connection & backlogs

Time-to-connection trend

Median days (lower is better)

Closed-loop ≤48h trend

% confirmed within 48 hours (higher is better)
Six-month timeline
M1
M2
M3
M4
M5
M6
Approve MDS
Consent live (top languages)
API approach & pilots
Queue views live
Public progress page
Updated weekly Done Planned At risk

Core strategies

Build a shared, privacy-first backbone that connects referrals, handoffs, and care plans; makes the queue visible; and includes every partner from day one.

Standardize the essentials

Publish a statewide data dictionary for referrals, handoffs, care plans, and outcomes.

Define unique person, episode, and organization IDs across systems.

Set validation rules so data is complete and useful at the point of entry.

Build lightweight connections first

Use simple, secure APIs and flat file options to include small providers quickly.

Start with event notifications for referral sent, handoff confirmed, and appointment kept.

Add deeper exchange only where it improves decisions or family experience.

Share care plans with consent

Use a single, lightweight plan template that follows the family.

Capture consent once and honor it across settings with role-based access.

Give families a portal view with the ability to update goals and contacts.

Make the queue visible

Standard views that show new referrals, age of items, and stalls by reason.

Weekly huddles use the same views to unblock cases and move people forward.

Region readouts highlight bottlenecks and wins.

Privacy by design

Minimum necessary data, clear purpose statements, and short retention where possible.

Encryption in transit and at rest, with access logs and regular audits.

Simple, fast data sharing agreements that protect rights and enable care.

Include every partner

No-cost submission routes for community and Tribal providers.

Mobile-friendly forms and text-based confirmations for low-tech environments.

Training and office hours for setup, testing, and troubleshooting.

Technical approach

Common data elements

Version control and change logs.

Open APIs

Referrals, handoffs, and care plans.

Event streams

Status changes without full integration.

Provider directory

Hours, modalities, and contact points.

Secure identity & roles

Staff, partner, and family access management.

Measures we will publish

Closed-loop ≤48 hours

68% confirmed within 48h.

Time to first kept appointment

25% faster than baseline.

Median days (lower is better)

7-day follow up

57% contact within 7 days.

Referrals with complete MDS

Target: ≥85% contain the minimum data set.

Share of providers on standard interfaces

Target: ≥70% connected via API or flat file.

Family experience

74% “easy to get/share info”.

Top-box %; higher is better

All measures disaggregated by race, language, disability, geography, and payer.

Equity commitments

  • Translate consent and notices into top regional languages in plain talk.

  • Fund community and Tribal partners to design forms and test usability.

  • Provide low-cost options for connectivity and devices where needed.

  • Track and close gaps in access to portal features and shared care plans.

30–60–90 day plan

Days 1–30 • 31–60 • 61–90

Days 1 to 30

Stand up the basics

Finalize minimum data sets and data dictionary.

Approve consent model and plain-language versions.

Stand up a sandbox with example payloads and test tools.

Outcome: basics ready for partners to connect without rework.

Days 31 to 60

Pilot and publish

Connect two high-volume partners per pilot region through the API or flat files.

Launch queue views for navigation teams and begin weekly unblock huddles.

Train frontline staff on referral and handoff status updates.

Outcome: early throughput and queue visibility in every pilot region.

Days 61 to 90

Expand and refine

Expand connections to school, primary care, and stabilization partners.

Release family portal view for shared care plans in pilots.

Publish the first public data update with measures and lessons.

Outcome: broader access and a first public look at results.

Governance and roles

Data Lead owns standards, security, and release management.

Integration Lead supports partners, monitors throughput, and resolves errors.

Equity Lead reviews consent, language access, and portal usability.

Regional Coalitions select first connections and run unblock huddles.

Community & Tribal Partners co-design forms and validate experience.

Privacy Officer ensures compliance and responds to concerns.

Risk management

Security incidents mitigated with least-privilege access, audits, and rapid response plans.

Integration delays reduced by offering flat file and API options with clear specs.

Data quality drift managed through validation at entry and routine health checks.

Equity drift countered with translated materials, outreach, and public gap tracking.

What we will not do

Collect data that does not change decisions or improve experience.

Launch pilots without a path to scale and support.

Require expensive technology for participation.

Share information without clear consent or purpose.

Phase gate to reliability

We advance when regions show:

Stable closed-loop rates and improved time to connection.

Shared care plans used across settings with family access.

Majority of high-volume providers connected through standard interfaces.

Community and Tribal partners confirm the data experience is working and worth scaling.

The commitment

Data will serve people. We will connect the system with simple standards, respectful consent, and tools that reduce work. Families will not repeat their story. Providers will see what they need. Leaders will steer with clear measures in public.