What is MCP, and why does it matter for post-acute operators?

Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude and ChatGPT call real tools on real systems, securely, on behalf of a real user. For post-acute operators, that means your AI can pull live occupancy, census, financial, and clinical numbers from DashboardHC instead of guessing.

Which AI tools work with DashboardHC?

Claude Desktop, ChatGPT (via Custom GPT Actions), Microsoft Copilot, and any other MCP-compatible client.

Is DashboardHC HIPAA compliant?

DashboardHC operates as a HIPAA-compliant platform and signs Business Associate Agreements with direct customers. Direct identifiers are blocked at the query layer by design. Continuously-monitored security posture is published at trust.dashboardhc.com.

Do you customize the data warehouse to my business?

Yes. DashboardHC builds a customizable warehouse per client around your buildings, hierarchy, payer mix, and KPIs. We also support bring-your-own-warehouse: if you've already built your own data warehouse on Azure Analysis Services, keep developing it. DashboardHC connects on top to layer in dashboards, MCP, and agents while you stay in control of the model.

What systems does DashboardHC connect to?

PointClickCare, NetHealth, plus your labor and financial systems.

How long does setup take?

The MCP server is configured in under 10 minutes. Standing up the customizable warehouse depends on your sources, but most operators are running real reports within a few weeks.

How is DashboardHC different from Skypoint, MegaData, or SNF Metrics?

Competitors ship a fixed model and (sometimes) ask you to adopt their proprietary AI. DashboardHC ships a customizable warehouse per client, plugged into the AI you already chose through the open MCP standard. No vendor chatbot to adopt, no rip-and-replace.

Can the AI run automated reports on a schedule?

Yes. Once MCP is wired in, you can run morning-huddle agents, monthly board-deck builders, and always-on exception-watch agents.

Who can see what data when an AI is asking?

Region, entity, measure, and time scoping carry through to MCP via OAuth. The AI is constrained to the same buildings, regions, and measures the signed-in user has access to. Direct patient identifiers are blocked at the connector by design, so the AI never sees PHI even when the user technically could.

How do I see DashboardHC in action?

Book a 30-minute demo at calendly.com/kevin-dsp/30min. We'll show DashboardHC live against an existing warehouse, with Claude or ChatGPT calling MCP, and walk through what it'd look like once we build yours.

Built for post-acute operators

Your operations should work with AI.

Connect ChatGPT, Claude, Copilot, and AI workflows to real operational healthcare data. Census, labor, occupancy, reimbursement, and regional operations.

See what teams ask See Connected Operations

Claude · DashboardHC

Which buildings are below census targets this month?

get_data_model ask_data · occupancy get_dimension · building

Four buildings sit below target. Mountain is the soft spot. Willow Lane and Magnolia are dragging the region 0.6 pts.

Northeast

92.4%

▲ 1.8

Southeast

90.2%

▲ 0.3

Mountain

87.1%

▼ 0.6

Total

89.6%

▲ 0.4

SepOctNovDecJanFebMarApr

Why is Willow Lane drifting? Compare admissions vs. discharges Draft a slide for Monday

Claude

ChatGPT

Microsoft Copilot

Gemini

Plain English

Ask the way your team already talks

One model

Operations, finance, and clinical, together

Role-based

Your AI inherits the same permissions as the signed-in user

PHI-safe

Direct patient identifiers blocked at the connector, by design

The shift

Post-acute operations live in a dozen systems.

PCC, NetHealth, payroll, agency portals, schedulers, spreadsheets. AI changes the question. Not which tab do I open? but what do I want to know?

Why did labor spike yesterday? Where is agency usage growing fastest? Which buildings missed admissions targets last week? Show me Medicare A days trend by region.

Connected operations

One model. The AI you already use.

One operational model. Your buildings, your regions, your KPIs across census, labor, occupancy, reimbursement. Opened to whichever AI your team prefers.

Your model · your AI

Your buildings14 facilities

Your hierarchy3 regions

Your KPIs86 measures

Your payers22 plans

Claude

ChatGPT

Microsoft Copilot

Gemini

In practice

Ask the way you'd ask a regional.

Plain English. Real numbers. Across every building, every region, every executive review.

Claude · DashboardHC

What does our relationship look like with Aetna?

Aetna is growing fast. Census share up 6 points year over year. Length of stay 3 days above your portfolio average. Denial rate below your overall. One thing to watch: Aetna is now 28% of revenue at four buildings, with the contract up for renewal in Q3.

Show the buildings driving growth Compare to Humana

Where are falls trending this quarter? Which payers grew census this month? What does our relationship look like with Aetna? How are admissions from St. Jude vs. this time last year?

See what connected operations looks like

Step by step

It thinks like an analyst.

Real reasoning across multiple tools, not a one-shot lookup. Watch your AI follow the question all the way to the root cause.

Claude · DashboardHC

Why is overtime up across the portfolio?

ask_data · overtime

Portfolio overtime is up 1.8 pts year over year. Let me see where it's concentrated.

ask_data · overtime by region

Mountain is the driver. Up 3.2 pts vs. 0.5 elsewhere. Drilling in.

get_dimension · buildingask_data · overtime

Within Mountain, Pine Ridge and Cedar Grove account for 78% of the OT increase. Two buildings, not a regional pattern.

ask_data · otask_data · agency

Both show a weekend OT pattern. Sat/Sun OT runs 2-3× weekday levels. Agency couldn't cover, so OT picked up the gap.

ask_data · admissionsask_data · census

Both absorbed Q1 admissions surges. Census grew, weekend schedule density didn't keep up.

Synthesis It's not a labor-cost problem. It's a weekend staffing gap colliding with admissions growth at Pine Ridge and Cedar Grove. Want me to draft a memo for the Mountain regional?

Yes, draft the memo Show weekend OT by shift Project OT if weekends covered

One question. Five tool calls. The kind of reasoning your best analyst would do, just faster, against current data, on whichever AI your team prefers.

Built for daily use

Not just a chat layer.

Dashboards, drill-downs, Power BI, Excel, the metric library. The app your team works in every day. AI is layered on top, not pasted over.

Dashboards

HIPAA drill-downs

Power BI workspace

Paginated reports

Excel + writeback

Templates

Access & SCIM

API tokens

System health

Support included

Metric library

Open to any AI

Explore the platform

The future of healthcare operations

Healthcare is adopting AI rapidly. Most systems are becoming closed silos.

DashboardHC isn't trying to become your AI.
We make your operational data usable by any AI.

Use the best AI tools.

Keep your operational intelligence connected.

Avoid vendor lock-in.

Operators should own their AI future. That's the business DashboardHC is here to build.

Proven where it counts

The operational model behind DashboardHC isn't a new bet. We built and ran it from the inside at Ensign and PACS, two of the most-watched post-acute growth stories of the decade. Now every operator can run on that foundation, not just the biggest.

Serving growth-focused operators across the United States.

Your operations should work with AI.

Post-acute operations live in a dozen systems.

Most software companies are building closed AI silos.

One model. The AI you already use.

Ask the way you'd ask a regional.

It thinks like an analyst.

Not just a chat layer.

DashboardHC isn't trying to become your AI.
We make your operational data usable by any AI.

See what connected operations looks like.

Your operations should work with AI.

Post-acute operations live in a dozen systems.

Most software companies are building closed AI silos.

One model. The AI you already use.

Ask the way you'd ask a regional.

It thinks like an analyst.

Not just a chat layer.

DashboardHC isn't trying to become your AI. We make your operational data usable by any AI.

See what connected operations looks like.

DashboardHC isn't trying to become your AI.
We make your operational data usable by any AI.