# Smartsheet for Healthcare

> Use this tool when you need to integrate Smartsheet with AI systems for advanced healthcare analytics, solving problems like clinical data management and research impact assessment. It provides seamless interaction between Smartsheet and AI, enabling efficient data analysis and insights in clinical research and hospital operations. With inputs like clinical data and Smartsheet operations, it outputs AI-driven insights, making it ideal for healthcare organizations seeking to enhance their workflows with AI capabilities.

Canonical page: https://skillsregistry.net/skills/terilios-smartsheet-healthcare-analytics  
JSON: https://api.skillsregistry.net/v1/skills/terilios-smartsheet-healthcare-analytics

## Description

This MCP server, developed by Timothy Driscoll at Boston Children's Hospital, enables seamless integration between Smartsheet and AI systems for healthcare analytics. Built with TypeScript and Python, it provides tools for Smartsheet operations, column management, and batch analysis of clinical data. The implementation focuses on healthcare-specific use cases like pediatric innovation scoring, clinical note summarization, and research impact assessment. It leverages Azure OpenAI for advanced analytics capabilities. The server is particularly useful for healthcare organizations looking to incorporate AI-driven insights into their Smartsheet workflows, enabling efficient data management and analysis in clinical research and hospital operations contexts.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/terilios-smartsheet-healthcare-analytics)
- **Repository:** <https://github.com/terilios/smartsheet-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "terilios-smartsheet-healthcare-analytics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/terilios-smartsheet-healthcare-analytics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/terilios-smartsheet-healthcare-analytics/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt