Patient Journey Orchestration

Patient Journey Orchestration focuses on coordinating clinical activities, information, and communications across the entire continuum of care—from initial presentation and diagnosis through treatment, discharge, and follow-up. Instead of each clinician, department, or care setting working with partial and inconsistent information, this application creates a unified, context-aware view of the patient and the recommended care pathway. It surfaces the right clinical insights, evidence-based guidelines, and next-best actions at the right time for each role involved in the patient’s care. This application matters because healthcare delivery is often fragmented, leading to duplicated tests, preventable errors, inconsistent instructions, and suboptimal outcomes. By automating handoffs, standardizing care pathways, and streamlining documentation and support tasks, these systems reduce variation in care, free up clinician time, and improve adherence to evidence-based practices. AI components help interpret clinical data, personalize pathways, and trigger proactive interventions, improving both clinical outcomes and patient experience while lowering operational burden.

The Problem

Unify patient context and pathways to coordinate care across the continuum

Organizations face these key challenges:

1

Clinicians spend excessive time hunting for relevant history, results, and prior decisions across systems

2

Care plans vary by department/site, causing inconsistent pathway adherence and avoidable delays

3

Discharge and follow-up steps are missed or poorly coordinated, driving readmissions and no-shows

4

Care managers rely on manual lists/spreadsheets with limited real-time visibility into bottlenecks

Impact When Solved

Accelerated care coordination processesImproved adherence to treatment pathwaysReduced readmissions and no-show rates

The Shift

Before AI~85% Manual

Human Does

  • Manual data entry and communication
  • Tracking follow-ups with spreadsheets
  • Coordinating care via phone/email

Automation

  • Basic data retrieval from EHR
  • Static pathway recommendations
With AI~75% Automated

Human Does

  • Finalizing treatment decisions
  • Handling complex patient scenarios
  • Engaging with patients directly

AI Handles

  • Synthesize patient data from multiple sources
  • Generate context-aware pathway recommendations
  • Predict potential care bottlenecks
  • Automate follow-up reminders

Solution Spectrum

Four implementation paths from quick automation wins to enterprise-grade platforms. Choose based on your timeline, budget, and team capacity.

1

Quick Win

Guideline-Linked Care Navigator

Typical Timeline:Days

A clinician-facing assistant that summarizes the patient’s current episode (problems, key results, pending tasks) and links to approved local pathway documents for the condition. It produces a suggested checklist for the next 24-48 hours (orders to consider, consults, discharge prerequisites) with clear caveats that it is not a medical device and requires clinician judgment.

Architecture

Rendering architecture...

Technology Stack

Key Challenges

  • Keeping outputs aligned with institution-approved guidance (no hallucinated recommendations)
  • Handling incomplete patient context when users paste partial notes
  • Clinician trust and workflow fit (too verbose, wrong prioritization)
  • Safety/legal review for clinical-facing text generation

Vendors at This Level

Wolters KluwerElsevierEpic Systems

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Market Intelligence

Technologies

Technologies commonly used in Patient Journey Orchestration implementations:

Key Players

Companies actively working on Patient Journey Orchestration solutions:

Real-World Use Cases