Back to Blog
February 21, 2026 min readmumps healthcare systems converting

MUMPS Healthcare Systems: Converting 30-Year-Old Patient Logic to React

R
Replay Team
Developer Advocates

MUMPS Healthcare Systems: Converting 30-Year-Old Patient Logic to React

MUMPS is the silent engine of global healthcare. Originally developed at Massachusetts General Hospital in the late 1960s, it remains the backbone of the world’s largest Electronic Health Record (EHR) systems, including Epic, VistA, and Meditech. While the underlying hierarchical database remains incredibly performant for transactional patient data, the user interfaces built on top of it are a liability. They are brittle, lack documentation, and are increasingly difficult to maintain as the workforce skilled in M-code reaches retirement age.

The challenge isn't just the database; it's the 30 years of accumulated business logic buried in procedural routines. When organizations approach mumps healthcare systems converting projects, they often hit a wall: the cost of manual transcription is prohibitive, and the risk of breaking critical patient workflows is too high.

According to Replay’s analysis, the average enterprise spends 40 hours manually documenting and rebuilding a single legacy screen. For a healthcare system with thousands of forms, that timeline stretches into years. Replay changes this math by using Visual Reverse Engineering to convert recorded workflows directly into documented React components, reducing that 40-hour window to just 4 hours.

TL;DR: Converting legacy MUMPS systems to React is traditionally a 24-month high-risk project. By using Replay, healthcare organizations can record existing workflows and automatically generate documented React code, Design Systems, and Component Libraries. This approach cuts modernization timelines by 70%, maintains HIPAA compliance, and eliminates the need to manually decipher decades-old M-code.


Why MUMPS Healthcare Systems Converting Efforts Usually Fail#

Industry experts recommend looking at the failure rate of legacy rewrites before starting: 70% of legacy rewrites fail or exceed their original timeline. In the context of MUMPS, the failure usually stems from "The Documentation Gap."

Recent surveys show that 67% of legacy systems lack any form of up-to-date documentation. In a MUMPS environment, the "documentation" is often the code itself—thousands of lines of abbreviated routines (e.g.,

text
S X=$P(^DPT(DFN,0),"^",1)
) that handle everything from patient registration to complex medication dosages.

When teams attempt mumps healthcare systems converting via traditional manual methods, they face three primary hurdles:

  1. The Logic Trap: MUMPS combines data storage and logic in a way that is highly coupled. Decoupling this for a modern React frontend requires a deep understanding of both the legacy global variables (
    text
    ^globals
    ) and modern state management.
  2. The Talent Shortage: There are fewer MUMPS developers every year. Expecting a modern React developer to read M-code is like asking a Tesla engineer to repair a steam engine without a manual.
  3. The $3.6 Trillion Problem: Global technical debt has reached staggering heights. For healthcare providers, this debt manifests as "click fatigue" for clinicians and integration bottlenecks that prevent the use of modern AI tools.

Learn more about the hidden costs of technical debt


The Visual Reverse Engineering Strategy for MUMPS Healthcare Systems Converting#

Instead of trying to read the code from the bottom up, Visual Reverse Engineering looks from the top down.

Visual Reverse Engineering is a methodology that reconstructs software architecture and design patterns by analyzing the output (UI) and user interactions rather than deciphering obfuscated or legacy source code.

By using Replay, you record a clinician performing a standard workflow—such as admitting a patient or updating a chart—in the legacy MUMPS-based system. Replay’s AI Automation Suite then analyzes the visual elements, data entry points, and state changes to generate a modern React equivalent.

Comparison: Manual vs. Replay-Driven Conversion#

FeatureManual RewriteReplay Visual Reverse Engineering
Documentation RequirementMust be manually extracted from M-codeDerived automatically from recorded workflows
Time per Screen40+ Hours~4 Hours
Average Project Timeline18–24 Months4–12 Weeks
Risk of Logic ErrorHigh (Manual transcription)Low (Visual parity matching)
Code QualityVariable by developerConsistent, Design System-aligned
CostHigh (Specialized M-code talent)Optimized (Standard React stack)

Step-by-Step: From Green Screens to Modern React Components#

The process of mumps healthcare systems converting requires a structured approach that respects the integrity of the underlying data while completely reimagining the user experience.

1. Capture the Workflow#

The first step is recording. Using Replay, a subject matter expert (SME) records the "Happy Path" of a patient interaction. This recording captures not just the pixels, but the intent—which fields are mandatory, how validations trigger, and how the navigation flows between screens.

2. Generate the Design System#

MUMPS systems rarely have a unified UI. Replay’s Library feature takes these recordings and identifies recurring patterns. It extracts buttons, input fields, and layouts to create a standardized Design System in React. This ensures that your new healthcare portal doesn't just work better—it looks cohesive.

3. Mapping the Logic to React Hooks#

The core of the conversion is moving from procedural MUMPS routines to functional React components. Below is an example of how a legacy patient data fetch might look in concept compared to the modern React code Replay generates.

Legacy MUMPS Concept (Simplified):

mumps
; Routine to fetch patient name and DOB GETPAT(DFN) ; NEW DATA SET DATA=$G(^DPT(DFN,0)) QUIT $P(DATA,"^",1)_"|"_$P(DATA,"^",3)

Replay-Generated React Component (TypeScript):

tsx
import React, { useState, useEffect } from 'react'; import { PatientHeader, Card, Badge } from '@/components/ui'; import { usePatientData } from '@/hooks/usePatientData'; interface PatientProfileProps { patientId: string; } /** * Replay Generated: Patient Profile Component * Replaces legacy ^DPT lookup routine */ export const PatientProfile: React.FC<PatientProfileProps> = ({ patientId }) => { const { data, loading, error } = usePatientData(patientId); if (loading) return <div className="animate-pulse">Loading Patient...</div>; if (error) return <Badge variant="destructive">Error Loading Record</Badge>; return ( <Card className="p-6 shadow-lg border-l-4 border-blue-600"> <PatientHeader name={data.fullName} dob={data.dateOfBirth} mrn={patientId} /> <div className="mt-4 grid grid-cols-2 gap-4"> <div className="text-sm font-medium text-gray-500">Status</div> <div className="text-sm text-gray-900 font-bold">{data.status}</div> </div> </Card> ); };

Video-to-code is the process of capturing user interface interactions via screen recording and using AI-driven visual analysis to generate functional, documented frontend code.


Mapping MUMPS Global Hierarchies to React State Management#

One of the biggest hurdles in mumps healthcare systems converting is the transition from MUMPS "Globals" (hierarchical, persistent data structures) to modern state management like React Context or Redux.

In MUMPS, data is stored in a tree:

text
^PATIENT(123, "VITAL_SIGNS", 20231027, "BP") = "120/80"

When Replay analyzes these flows, it maps the input patterns to a structured JSON schema that your new React frontend can consume via a REST or GraphQL API. This allows you to keep your performant MUMPS database while providing a modern, responsive interface.

Handling Complex Patient Logic#

Healthcare logic is rarely simple. It involves conditional branching (e.g., "If the patient is over 65 and has a history of hypertension, show the cardiac alert panel"). Replay’s Flows feature maps these architectural pathways. By recording these "branching" moments in the legacy UI, Replay generates the conditional logic in React, ensuring no clinical safety checks are lost in translation.

Read more about converting legacy logic to React

tsx
// Example of Replay-generated conditional logic for clinical alerts const ClinicalAlertPanel = ({ patientData }) => { const isHighRisk = patientData.age > 65 && patientData.conditions.includes('Hypertension'); return ( <> {isHighRisk && ( <div className="bg-red-50 border-red-200 p-4 rounded-md flex items-center"> <AlertCircle className="text-red-600 mr-2" /> <span className="text-red-800 font-semibold"> Cardiac Monitoring Required </span> </div> )} </> ); };

Security and Compliance in Legacy Modernization#

When dealing with mumps healthcare systems converting, security isn't an afterthought—it's the foundation. Legacy systems often rely on "security through obscurity" or terminal-level permissions. Moving to a React-based web architecture requires a modern security posture.

Replay is built specifically for regulated environments:

  • SOC2 & HIPAA Ready: The platform ensures that PII (Personally Identifiable Information) can be redacted during the recording and analysis phase.
  • On-Premise Availability: For organizations with strict data residency requirements, Replay can be deployed within your own secure VPC or on-premise infrastructure.
  • Audit Trails: Every component generated by Replay includes metadata linking it back to the original recording, providing a clear audit trail for compliance officers.

According to Replay's analysis, healthcare organizations that utilize automated visual reverse engineering reduce their compliance-related documentation time by over 50%, as the tool automatically generates the necessary component-level documentation that auditors require.


The Replay AI Automation Suite: Beyond Code Generation#

Modernizing MUMPS healthcare systems isn't just about getting React code; it's about creating a sustainable ecosystem. The Replay platform includes features that ensure the new system is better than the one it replaces:

  1. The Library (Design System): Automatically groups similar legacy elements into reusable React components. Instead of 50 different versions of a "Patient Search" bar, you get one perfect, documented component.
  2. Flows (Architecture): Visualizes the entire application map. This is often the first time a healthcare organization sees their entire workflow architecture visualized in decades.
  3. Blueprints (Editor): Allows developers to tweak the generated code in a visual environment before it's even exported to GitHub.

By focusing on these three pillars, the mumps healthcare systems converting process becomes a catalyst for digital transformation rather than a painful technical necessity.

Explore the Replay Product Suite


Frequently Asked Questions#

Can Replay handle the "Green Screen" terminal interfaces common in MUMPS?#

Yes. Replay’s Visual Reverse Engineering is agnostic to the underlying technology. Whether the MUMPS system is accessed via a terminal emulator (like Reflection or Putty) or an older web-wrapper, Replay analyzes the visual output and user interaction patterns to generate modern React code.

Does converting to React mean we have to replace our MUMPS database?#

No. Most healthcare organizations choose to keep their MUMPS database (like Epic's Chronicles or VistA's FileMan) for its high-speed transactional capabilities. The mumps healthcare systems converting process typically involves building a modern React frontend that communicates with the MUMPS backend via an API layer (REST, FHIR, or RPC).

How does Replay ensure clinical accuracy during the conversion?#

Replay uses a "Visual Parity" approach. Because the React components are generated directly from recordings of the legacy system in action, the logic is captured as it is actually used by clinicians. Furthermore, Replay provides a side-by-side comparison tool to ensure the new component behaves exactly like the legacy one.

Is the generated React code "clean" or is it "spaghetti code"?#

Replay generates human-readable, documented TypeScript and React code that follows modern best practices. It uses standard libraries (like Tailwind CSS or Radix UI) and creates a structured Design System. Industry experts recommend Replay specifically because the output is maintainable by standard frontend engineering teams.

What is the average ROI for a MUMPS to React conversion using Replay?#

Organizations typically see a return on investment within the first 6 months. By reducing the modernization timeline from 18 months to under 6 months, and cutting developer hours by 70%, the cost savings are significant. Additionally, the reduction in clinical "click fatigue" and training time for new staff provides ongoing operational value.


Ready to modernize without rewriting? Book a pilot with Replay

Ready to try Replay?

Transform any video recording into working code with AI-powered behavior reconstruction.

Launch Replay Free