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February 10, 20268 min readdelphi modern

Delphi Modernization in Medical Imaging: Preserving Diagnostic Logic in Modern Web Apps

R
Replay Team
Developer Advocates

The 70% failure rate of legacy rewrites isn't a statistic; it’s a death sentence for medical imaging projects where diagnostic logic is buried under decades of Delphi VCL components. In the high-stakes world of healthcare, "starting from scratch" usually means losing the nuanced edge cases and calibration logic that took twenty years to perfect.

The global technical debt crisis has reached $3.6 trillion, and nowhere is this felt more acutely than in clinical environments. When a VP of Engineering looks at a legacy Delphi stack powering a PACS (Picture Archiving and Communication System) or a diagnostic workstation, they see a black box. The original architects are gone, documentation is non-existent for 67% of these systems, and the business logic is inextricably tied to the UI.

TL;DR: Delphi modernization in medical imaging succeeds not through manual code translation, but by using Visual Reverse Engineering to extract validated diagnostic workflows into modern React components, reducing migration timelines by 70%.

The Delphi Modern Dilemma: Why Manual Rewrites Are a Liability#

Delphi was the gold standard for medical imaging in the late 90s and early 2000s because of its unparalleled speed in handling raw binary data and its robust VCL (Visual Component Library). However, these systems are now "black boxes." Attempting a "Big Bang" rewrite of a Delphi-based imaging suite typically takes 18-24 months—a timeline that 70% of enterprise projects exceed or fail to meet entirely.

The risk in medical imaging isn't just budget; it's clinical accuracy. If your manual rewrite misses a specific pixel-scaling algorithm or a DICOM header parsing rule hidden in a

text
.pas
file, the diagnostic integrity of the application is compromised.

The Cost of the Status Quo#

Traditional modernization involves "Software Archaeology." Engineers spend weeks reading legacy Pascal code, trying to map UI events to business logic. This manual extraction averages 40 hours per screen. For a standard medical suite with 50+ complex diagnostic and administrative screens, you are looking at thousands of hours before a single line of modern code is even functional.

ApproachTimelineRiskLogic PreservationCost
Big Bang Rewrite18-24 MonthsHigh (70% failure)Low (Manual errors)$$$$
Manual Refactoring12-18 MonthsMediumModerate$$$
Delphi Modern (Replay)2-8 WeeksLowHigh (Visual Truth)$

Visual Reverse Engineering: A New Standard for Delphi Modernization#

The future of legacy systems isn't rewriting from scratch—it's understanding what you already have. Replay changes the paradigm by using the running application as the source of truth. Instead of reading dead code, Replay records real user workflows—doctors reviewing scans, technicians entering metadata—and extracts the underlying architecture.

From Black Box to Documented Codebase#

By recording the Delphi application in action, Replay identifies the exact state changes, API calls (or database triggers), and UI hierarchies. It then generates documented React components and TypeScript definitions that mirror the legacy behavior exactly. This "Video as source of truth" approach ensures that the diagnostic logic—the way a slider affects image contrast or how a measurement tool calculates area—is preserved in the new web-based environment.

💰 ROI Insight: Manual screen extraction takes ~40 hours. Replay reduces this to ~4 hours. In a 50-screen project, this saves 1,800 engineering hours, or approximately $270,000 in labor costs alone.

Preserving Diagnostic Logic: The Technical Workflow#

When we talk about a delphi modern strategy, we are specifically looking at how to move from heavy desktop clients to HIPAA-ready, SOC2-compliant web applications without losing the "secret sauce" of the imaging logic.

Step 1: Workflow Recording#

The architect records a clinical workflow in the legacy Delphi app using Replay. This captures every VCL component interaction, every mouse event on the canvas, and the resulting data mutations.

Step 2: Component Extraction#

Replay’s AI Automation Suite analyzes the recording. It identifies that a specific Delphi TPanel and TImage combination is actually a sophisticated DICOM viewer with specific zoom-and-pan logic.

Step 3: Generating Modern React Components#

Replay outputs clean, modular React code. It doesn't just copy the UI; it generates the functional logic required to maintain the same user experience.

typescript
// Example: Generated React component from a Delphi Imaging Workflow // Replay extracted the exact state management for diagnostic zoom levels import React, { useState, useEffect } from 'react'; import { DicomViewer, ToolBar, MetadataPanel } from '@clinical/design-system'; export const DiagnosticWorkstation: React.FC<{ studyId: string }> = ({ studyId }) => { const [zoomLevel, setZoomLevel] = useState(1.0); const [contrast, setContrast] = useState(50); // Logic preserved from legacy Delphi 'TImageManipulator' class const handleImageAdjustment = (value: number, type: 'zoom' | 'contrast') => { if (type === 'zoom') { // Replay identified this specific scaling algorithm from the legacy capture const calibratedZoom = value * 1.05; setZoomLevel(calibratedZoom); } else { setContrast(value); } }; return ( <div className="flex h-screen bg-black"> <ToolBar onAdjust={handleImageAdjustment} /> <DicomViewer src={`/api/v1/studies/${studyId}/frame`} zoom={zoomLevel} contrast={contrast} /> <MetadataPanel studyId={studyId} /> </div> ); };

Step 4: API Contract Generation#

Most Delphi systems communicate directly with a database (like InterBase or Paradox) or via legacy SOAP services. Replay observes these data exchanges and generates modern API contracts (OpenAPI/Swagger), allowing your backend team to build a headless service layer that supports the new frontend.

typescript
/** * Generated by Replay AI Automation Suite * Source: Delphi 'TDataModule' - PatientRecordUpdate */ export interface PatientUpdateContract { patient_id: string; imaging_modality: 'CT' | 'MRI' | 'XR'; exposure_settings: { kvp: number; ma: number; exposure_time_ms: number; }; last_modified: string; // ISO 8601 }

Addressing the Technical Debt Audit#

Legacy Delphi systems are often the primary source of technical debt in a healthcare enterprise. With $3.6 trillion in global debt, much of it is locked in "zombie" systems—applications that are too risky to change but too expensive to maintain.

A delphi modern approach with Replay includes an automated Technical Debt Audit. By analyzing the extracted flows, Replay identifies redundant components, dead logic paths, and non-standard UI patterns. This allows architects to prune the system during the migration, ensuring the new React-based application is leaner than its predecessor.

⚠️ Warning: The "Strangler Fig" pattern is often recommended for modernization, but in Delphi systems, the tight coupling between the UI and the database often makes this impossible. Visual extraction is the only way to decouple without breaking the system.

Security and Compliance in Regulated Environments#

For healthcare and financial services, "the cloud" isn't a simple choice—it's a compliance challenge. Replay is built for these environments.

  • SOC2 & HIPAA-Ready: The extraction process respects PII (Personally Identifiable Information).
  • On-Premise Availability: For highly sensitive imaging data, Replay can run entirely within your firewalled environment.
  • E2E Test Generation: Replay doesn't just give you code; it generates End-to-End tests based on the recorded workflows. This provides a "safety net" that proves the new system behaves exactly like the old one, a critical requirement for FDA or CE-mark medical software validation.

The Future of Enterprise Architecture: Understanding Over Rewriting#

The era of the "Big Bang" rewrite is over. The risks are too high, and the timelines are too long for the modern pace of healthcare innovation. By moving from an 18-month timeline to a matter of weeks, organizations can reallocate their best engineering talent from "archaeology" to "innovation."

Using Replay, a medical imaging company can modernize its entire fleet of Delphi-based diagnostic tools, moving them to a centralized, cloud-native React architecture while ensuring that every diagnostic algorithm and clinical workflow remains intact. This isn't just a migration; it's a visual preservation of institutional knowledge.

💡 Pro Tip: When modernizing Delphi, start with the most complex diagnostic screen first. If you can prove logic preservation on the hardest 10% of the app, the remaining 90% (admin, settings, lists) will follow with 90% automation efficiency.

Frequently Asked Questions#

How long does a delphi modern extraction take?#

While a manual rewrite takes 18-24 months, a Replay-led modernization typically takes 2 to 8 weeks for the extraction phase. This includes recording all key workflows, generating the React component library, and establishing the API contracts.

What about business logic preservation?#

This is Replay's core strength. Because we use "Video as the source of truth," we record the behavior of the application. If a specific button in Delphi triggers a complex calculation, Replay captures the input, the process, and the output, allowing engineers to wrap that logic into modern TypeScript functions without needing to decipher 20-year-old Pascal code.

Does Replay support 3rd-party VCL components?#

Yes. Since Replay performs visual reverse engineering at the runtime level, it is agnostic to whether a component is a standard Delphi VCL or a 3rd-party imaging library. If it renders and interacts on the screen, Replay can document and extract it.

Can we run this on-premise?#

Absolutely. We understand that medical imaging data is highly sensitive. Replay offers an on-premise deployment model that ensures no data ever leaves your secure network during the extraction or generation process.

How does this handle the database layer?#

Replay identifies the data requirements of each screen. While it generates the frontend React components and API contracts, your team can use these contracts to build the necessary backend adapters to your legacy database or migrate to a modern cloud database.


Ready to modernize without rewriting? Book a pilot with Replay - see your legacy screen extracted live during the call.

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