Domain

Digital Health Engineering

Platform

AI-enabled Hospital Asset Management Software

Services

  • Product Engineering & Architecture
  • Automated Survey Software Development
  • Digital Asset Survey Platform Implementation
  • AI & Data Intelligence Road mapping
  • Workflow Automation & Reconciliation Engine
  • Advanced Reporting & Dashboard Analytics
  • Cloud Infrastructure & Enterprise-Scale Integrations

A US-based healthcare solutions provider specializing in medical equipment assessment aimed at modernizing hospital asset surveys and delivering real-time, decision-grade intelligence on equipment condition, safety, and lifecycle value.

They partnered with Dash Technologies to build an AI-enabled, cloud-powered Hospital Asset Management Software — a scalable Hospital Asset Tracking System designed for automation, analytics, and predictive intelligence, while accelerating Digital Transformation in Healthcare through advanced digital health engineering.

About the Client 

A US-based healthcare solutions provider specializing in medical equipment assessment, asset lifecycle validation, and hospital inventory audits. The organization supports multi-campus hospital networks and biomedical teams by providing high-accuracy insights that guide capital planning, safety compliance, and lifecycle optimization.

Reconciliation that took days now happens in seconds.

Business Challenges

The organization operated in high-stakes environments but was trapped in a low-tech workflow. Surveyors used Google Forms, Excel sheets, printed notes, and manual verification — leading to

  • Fragmented, Manual Survey Processes

    Surveyors relied on Google Forms, Excel sheets, and handwritten notes, causing inconsistent documentation, dependency on manual verification, and high error probability.

  • Unreliable, Non-Standardized Asset Data

    Different survey teams produced different output formats, creating data mismatches across hospitals, delaying audits, and impacting capital equipme

  • Zero Automation & No AI-Readiness

    Manual reconciliation with manufacturer inventories took days, leaving no room for automation, predictive analytics, or real-time asset intelligence.

  • Slow, Low-Visibility Operations Across Hospital Networks

    Without centralized visibility, leadership struggled to track survey progress, identify missing equipment, ensure compliance, or manage multi-campus operations efficiently.

From manual chaos to a unified digital command center — in one platform. 

Our Solution - A Three-Phase Intelligent Transformation

Dash built a high-performance, AI-ready digital ecosystem, transforming fragmented workflows into a seamless, automated, insight-driven operation. 
Phase 1

Foundation for Intelligence & Scale

  • DICOM Viewer Integration for displaying medical images and manual navigation.
  • Interactive Figma prototypes engineered for clinical environments and high-volume data entry
  • API-first architecture using Flutter Web, Laravel, MySQL, Azure
  • Data standards built for AI model training, anomaly detection, and predictive analytics
  • Future-proof schemas for asset lifecycle, condition scoring, AHA useful life, and utilization trends
 

Strategic Impact

A unified digital blueprint that replaces operational guesswork with structured, scalable, AI-consumable data. 

Phase 2

Workflow Automation & Asset Intelligence Engine  

Smart Surveyor Experience

  • Mobile-responsive digital surveys
  • Real-time barcode/QR scanning
  • Intelligent forms that reconfigure automatically based on patient status, room type, or asset category
  • In-app camera capture for visual condition documentation
  • Auto-save, version control, and timestamp tracking

Operational Command Center (Admin Console)

  • No-code survey builder with hospital metadata & CMS data imports
  • Multi-surveyor assignment & real-time monitoring
  • Custom question creation (MCQs, matrices, file uploads, dichotomous logic)
  • Export-ready structured datasets for BI teams

Automated Reconciliation Engine

A highlight of the transformation – the system can now:
  • Ingest master inventory files
  • Perform serial-based, high-speed matching
  • Detect missing, duplicated, or mismatched assets automatically
  • Generate operational reconciliation reports in seconds

AI-Enabled Opportunities Introduced

  • Predictive maintenance triggers
  • Asset age detection using serial inference algorithms
  • AI-ready datasets for computer-vision based condition scoring
  • Generate operational reconciliation reports in seconds

Strategic Impact

  • A 40–60% reduction in manual effort and a new operational muscle that scales effortlessly across multiple hospitals.
Phase 3

Enterprise Analytics, Insights & Predictive AI Preparation

Advanced Reporting & Dashboards

  • Asset condition, age, AHA useful-life scoring
  • Model and manufacturer-level performance analytics
  • Patient safety indicators (fall risk, alarms, restraints, mobility)
  • Unit-level insights for operational leaders
  • Multi-format exports — PDF & PowerPoint

AI & Data Intelligence Roadmap Embedded 

  • Predictive equipment failure modeling
  • Computer-vision–based condition scoring from uploaded images
  • I-driven capital replacement planning
  • RTLS integrations for real-time location intelligence
  • Facility-level ML insights (ADC, ALOS, care-setting patterns)

Strategic Impact 

  • The platform shifts from data collection to data intelligence, empowering leadership with forecasting, risk identification, and lifecycle optimization.

A future-proof foundation for predictive AI and real-time asset intelligence

The Dash difference

100%

structured, AI-consumable datasets replacing fragmented files

50%

reduction in operational overhead for biomedical teams

Real-time Visibility

into surveyor activity, asset gaps, patient-safety indicators, and compliance metrics

Predictive AI

foundation enabling future RTLS, CV-based scoring & lifecycle forecasting

3X

faster survey cycles across multi-campus hospital networks

95%

reduction in data inconsistencies

How the Transformation Helped

Replaced Paper--Driven

workflows with an automated, cloud-based ecosystem 

Standardized Hospital

asset data to support financial optimization and lifecycle planning

Enabled Hospitals

to access decision-grade intelligence within minutes 

Established Scalable Infrastructure

for future AI, interoperability, and mobile extensions 

Client Testimonials

The Dash team did an exceptional job and kept me involved at every stage, which was so important to me. Everyone, from the developers behind the scenes to the project team, played a critical role in bringing my app to life. I couldn’t be happier with my decision to partner with Dash and will continue working with them as the app grows nationwide.

- Kevin Unger | Experienced Medtech Executive & Entrepreneur

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