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February 18, 2026 min readmumps database visual reverse

Modernizing the "Unkillable" MUMPS Database UI: A Guide to Visual Reverse Engineering

R
Replay Team
Developer Advocates

Modernizing the "Unkillable" MUMPS Database UI: A Guide to Visual Reverse Engineering

Your healthcare organization is likely running on a technology older than most of its residents. MUMPS (Massachusetts General Hospital Utility Multi-Programming System) remains the silent engine behind the world’s largest Electronic Medical Record (EMR) systems, including Epic, Oracle Health (Cerner), and the VA’s VistA. While these systems are legendary for their speed and reliability, their user interfaces are often relics of the 1980s—terminal-based "green screens" or clunky, first-generation Windows wrappers.

The challenge isn't the database; it's the interface. Attempting a manual rewrite of these systems is a recipe for disaster. According to Replay’s analysis, 70% of legacy rewrites fail or exceed their timeline, often because the original logic is buried in decades of undocumented MUMPS routines.

TL;DR: Modernizing MUMPS-based EMRs is notoriously difficult due to "spaghetti" code and a lack of documentation. Replay offers a mumps database visual reverse engineering solution that records actual user workflows and converts them into documented React components and Design Systems, reducing migration time from years to weeks and saving 70% in costs.

The $3.6 Trillion Technical Debt in Healthcare#

The global technical debt has ballooned to $3.6 trillion, and healthcare is one of the primary debtors. In a MUMPS environment, documentation is a luxury that few teams possess. Industry experts recommend that 67% of legacy systems lack the necessary documentation to support a traditional "lift and shift" migration.

When you attempt to modernize a MUMPS UI manually, you aren't just writing code; you are archeologists. Developers must spend an average of 40 hours per screen just to map the existing fields, validation logic, and hidden keyboard shortcuts that clinical staff have used for 30 years. With Replay, that timeline is compressed into roughly 4 hours per screen.

Why Mumps Database Visual Reverse Engineering is the Only Path Forward#

Traditional reverse engineering focuses on the source code. In MUMPS, this is a nightmare. The language is post-relational, schema-less, and relies on "Globals"—multidimensional arrays that don't map cleanly to modern SQL or JSON structures.

Visual Reverse Engineering is the process of capturing the "truth" of an application by recording how it actually behaves in the hands of an expert user, then using AI to reconstruct the underlying architecture into modern code.

By utilizing a mumps database visual reverse strategy, you bypass the need to decipher cryptic

text
.m
files. Instead, you record a clinician performing a "Patient Intake" or "Order Entry" flow. Replay’s engine analyzes the pixel changes, data entries, and state transitions to generate a functional React equivalent.

Comparison: Manual Migration vs. Replay Visual Reverse Engineering#

MetricManual RewriteReplay Visual Reverse Engineering
Average Time Per Screen40+ Hours4 Hours
Documentation Accuracy40-60% (Human Error)99% (Machine Captured)
Average Project Timeline18-24 Months2-4 Months
Resource Requirement10+ Senior Devs2-3 Product/FE Devs
Risk of FailureHigh (70%)Low (Data-Driven)

Implementing a Modern React Layer Over MUMPS#

Once Replay has captured the visual state of your MUMPS UI, it generates a structured Design System. This isn't just "spaghetti React"—it is modular, TypeScript-ready code that follows modern atomic design principles.

Here is an example of how a legacy MUMPS patient lookup screen is transformed into a functional React component after the mumps database visual reverse process:

typescript
// Generated by Replay AI Automation Suite import React, { useState, useEffect } from 'react'; import { Button, TextField, Table, Card } from '@/components/ui-library'; interface PatientRecord { dfn: string; // Internal MUMPS Pointer name: string; dob: string; ssn: string; lastVisit: string; } export const PatientLookup: React.FC = () => { const [query, setQuery] = useState(''); const [results, setResults] = useState<PatientRecord[]>([]); // Replay captured this logic from the terminal's 'GET' pattern const handleSearch = async () => { const data = await fetch(`/api/mumps/patient-search?name=${query}`); const json = await data.json(); setResults(json); }; return ( <Card className="p-6 shadow-lg"> <h2 className="text-2xl font-bold mb-4">Clinical Patient Search</h2> <div className="flex gap-4 mb-6"> <TextField label="Enter Patient Name (Last, First)" value={query} onChange={(e) => setQuery(e.target.value)} /> <Button onClick={handleSearch} variant="primary"> Execute Query </Button> </div> <Table data={results} columns={['name', 'dob', 'ssn', 'lastVisit']} /> </Card> ); };

Bridging the Gap: Data Mapping and Blueprints#

The core of Replay is the Blueprints Editor. When you perform a mumps database visual reverse operation, the platform identifies patterns in the legacy terminal. For instance, if a specific coordinate on the screen always displays the "Patient SSN," Replay flags this as a persistent data node.

In healthcare, data integrity is everything. You cannot afford to lose the mapping between a modern React frontend and the legacy MUMPS Global. According to Replay's analysis, creating these mappings manually accounts for nearly 30% of project delays. Replay automates this by creating a "Flow" documentation that mirrors the legacy workflow exactly.

Defining the MUMPS-to-JSON Interface#

To ensure the new UI communicates effectively with the legacy backend (often via an RPC broker or EWD.js), we use TypeScript interfaces generated during the reverse engineering phase.

typescript
/** * MUMPS Global Mapping Interface * Captured via Replay Visual Reverse Engineering * Legacy Routine: ^VADPT (Patient Demographics) */ export interface MumpsDemographics { VADM: { 1: string; // Patient Name 2: string; // SSN 3: string; // DOB (MUMPS format: 2900101) 5: string; // Gender }; VAEL: { 1: string; // Eligibility Status }; } // Utility to convert MUMPS Date to Standard ISO export const mumpsDateToISO = (mumpsDate: string): string => { const year = parseInt(mumpsDate.substring(0, 3)) + 1700; const month = mumpsDate.substring(3, 5); const day = mumpsDate.substring(5, 7); return `${year}-${month}-${day}`; };

Learn more about legacy-to-React migration strategies

Security and Compliance in Regulated Environments#

Healthcare modernization isn't just about code; it's about trust. When using a mumps database visual reverse tool, data privacy is paramount. Replay is built for high-stakes environments:

  1. SOC2 & HIPAA Ready: Replay can be configured to redact PII (Personally Identifiable Information) during the recording process.
  2. On-Premise Deployment: For sensitive EMR environments (like VA VistA or private hospital clusters), Replay can run entirely behind your firewall.
  3. Audit Trails: Every component generated and every workflow recorded is logged, providing a clear chain of custody from the legacy screen to the modern React component.

The Replay Workflow: From Recording to React#

The journey from a MUMPS terminal to a modern web app follows a four-step process within the Replay ecosystem:

  1. Capture (Flows): A subject matter expert (SME) records themselves performing standard tasks in the legacy EMR. Replay captures the visual state, the DOM (if web-wrapped) or terminal output, and the user's interaction patterns.
  2. Analyze (AI Automation Suite): Replay's AI identifies recurring UI patterns—buttons, input fields, tables, and navigation menus. It groups these into a centralized Library.
  3. Refine (Blueprints): Developers use the Blueprints editor to tweak the generated code, apply a modern CSS framework (like Tailwind), and map the component props to the MUMPS data source.
  4. Export: The result is a clean, documented React repository that is ready for deployment.

This process eliminates the "blank page" problem. Instead of starting from scratch, your team starts with a 70% completed codebase that is visually identical to the system the clinicians already know, but technically superior.

Scaling Beyond a Single Screen#

The power of mumps database visual reverse engineering is most evident when scaling across an entire enterprise. A typical EMR might have 500+ distinct screens. In a manual rewrite, the 500th screen takes as long as the first. With Replay, the system learns your UI patterns. By the time you reach screen 50, the AI is already suggesting existing components from your new Design System Library, further accelerating development.

How to build a Design System from legacy recordings

Frequently Asked Questions#

Can Replay handle terminal-based (green screen) MUMPS interfaces?#

Yes. Replay's visual engine is platform-agnostic. It records the visual output of any interface, whether it's a terminal emulator, a PowerBuilder application, or a legacy web portal, and translates those visual patterns into modern web components.

Do we need the original MUMPS source code for this to work?#

No. One of the primary advantages of a mumps database visual reverse approach is that it relies on the rendered UI and user workflow rather than the underlying source code. This is ideal for systems where the original code is poorly documented or the original developers are no longer available.

Is the generated React code maintainable?#

Absolutely. Replay does not output "machine-readable" junk. It generates clean, modular TypeScript and React code that follows industry best practices. The code is structured into a Component Library, making it easy for your internal team to maintain and extend long after the initial migration.

How does Replay handle complex clinical logic hidden in MUMPS routines?#

Replay captures the result of the logic as it appears in the UI. If a specific input triggers a complex validation or a calculated field, Replay documents that behavior in the "Flows" section. Developers can then choose to either replicate that logic in the frontend or maintain it in the MUMPS backend and call it via an API.

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