# Care Decision Meeting Plan AI Agent Connect

> Care Decision Meeting Plan MCP helps healthcare teams manage complex clinical decision-making. It handles the heavy lifting of organizing multidisciplinary meetings, from building chronological agendas to logging formal decisions and assigning follow-up tasks. Your AI client uses this to ensure patient safety and team alignment through structured governance rules.

## Overview
- **Category:** productivity
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_69vS9Gk2YP8RBR2e9b4m6O0GBYUbHJfUDHm0q4Dd/ai-agent-connect
- **Tags:** clinical, medical, meeting-planner, decision-making, healthcare-workflow

## Description

You can use this MCP to bring structure to high-stakes clinical discussions. Instead of scrambling to organize notes or missing critical follow-up tasks, you let your AI client manage the workflow. It helps you prepare for meetings by identifying necessary patient data and documents before anyone sits down. Once the meeting starts, it keeps the conversation on track with a clear timeline. 

After a decision is reached, the MCP formalizes the outcome in a permanent log. It applies specific governance rules like Consensus or Majority to ensure the decision is valid and documented correctly. You won't lose track of what happens next because it automatically generates a list of tasks and review dates. This keeps the entire multidisciplinary team aligned on patient care plans and ensures no action item falls through the cracks.

## Tools

### compile_pre_read_list
This tool identifies the specific documents and data points that the team needs to review before a meeting begins.

### generate_meeting_agenda
This tool builds a structured, chronological timeline to guide the meeting flow.

### record_decision
This tool captures and formalizes meeting outcomes into a permanent, structured log.

### assign_follow_up_actions
This tool creates a list of tasks and specific review dates based on the decisions made during a meeting.

## Prompt Examples

**Prompt:** 
```
Generate a 30-minute agenda for a meeting with Dr. Smith and Nurse Jones to discuss discharge plans, prioritizing the discharge plan.
```

**Response:** 
```
Meeting Agenda:
- Discharge Plan Discussion: 25 minutes
- Other items: 5 minutes
Total Duration: 30 minutes
```

**Prompt:** 
```
What documents should we review for a decision on palliative care transition?
```

**Response:** 
```
Required Documents: Patient History, Recent Lab Results, Imaging Reports.
```

**Prompt:** 
```
Record the decision to transition to palliative care using Consensus with Dr. Smith and Nurse Jones.
```

**Response:** 
```
Decision Recorded: Transition to palliative care. Outcome: Approved. Rationale: Patient comfort and goals of care alignment. Rule: Consensus. Participants: Dr. Smith, Nurse Jones.
```

## Capabilities

### Meeting Preparation
Your agent identifies required clinical documents and builds chronological timelines.

### Decision Formalization
The MCP logs outcomes using specific governance rules like Consensus or Majority.

### Task Management
It generates follow-up actions and review dates to ensure care plan execution.

### Clinical Governance
The tool applies structured rules to ensure multidisciplinary alignment.

## Use Cases

### Discharge Planning
Organize meetings to finalize patient discharge details and assign necessary follow-up tasks.

### Palliative Care Transitions
Identify required patient history and lab results before deciding on a transition in care.

### Multidisciplinary Rounds
Use structured agendas to keep diverse medical specialists aligned on a single patient plan.

### Decision Auditing
Maintain a permanent log of decisions made using specific rules like Consent or Majority.

## Benefits

- Reduces meeting drift by enforcing chronological agendas.
- Ensures patient safety through formal decision logging and governance rules.
- Prevents missed tasks by automatically generating follow-up action lists.
- Standardizes how multidisciplinary teams reach and record consensus.

## How It Works

Connect your AI client to Vinkius to start managing clinical workflows immediately.

1. Connect your preferred client like Claude or Cursor to the Vinkius platform.
2. Ask your agent to prepare for a clinical meeting by requesting an agenda or pre-read list.
3. Use the MCP to record formal decisions and the rules used to reach them during the meeting.
4. Generate a list of follow-up actions and review dates to close the loop on care.

## Frequently Asked Questions

**Which AI clients can use this MCP?**
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

**How does the MCP handle decision-making rules?**
The MCP applies specific governance rules such as Consensus, Consent, or Majority to ensure decisions are recorded according to clinical requirements.

**Does this MCP host my data?**
Vinkius hosts and manages the MCP, allowing you to connect your client once and access the tools immediately without managing your own hosting.

**Can I use this to track tasks after a meeting?**
Yes, the assign_follow_up_actions tool creates a list of tasks and review dates based on the decisions you record.

**Is this for individual doctors or entire teams?**
It is designed for multidisciplinary teams to ensure alignment and safety during complex clinical decision-making.

**How does this tool help with clinical governance?**
The `record_decision` tool allows users to specify the governance rule used, such as Consensus or Consent, ensuring every clinical decision is documented with its specific rationale and rule.

**Can I prepare participants before the meeting starts?**
Yes, you can use `compile_pre_read_list` to identify which supporting documents are essential for the decisions being discussed, helping participants prepare in advance.

**How are follow-up tasks managed?**
After decisions are finalized, `assign_follow_up_actions` generates a list of tasks and maps them to specific review dates to ensure implementation.