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The Value of a Modern Data Infrastructure to Accelerate Clinical Diagnosis: The Case of Munich Leukemia Laboratory

Publisher IDC
Published Dec 08, 2022
Length 11 Pages
SKU # IDC17552443

Description

The Value of a Modern Data Infrastructure to Accelerate Clinical Diagnosis: The Case of Munich Leukemia Laboratory

This IDC Perspective illustrates the case of Munich Leukemia Laboratory (MLL), which adopted a cloud-first strategy to address its increasing compute and storage needs as well as support its business innovation plans. The case analyzes key factors that helped MLL to successfully analyze and process next-generation sequencing (NGS) and other diagnostic data in the cloud. "As European healthcare providers pursue data-driven care delivery models, cloud technology investments are critical to support data integration, data sharing, and the use of advanced analytics and AI. By adopting cloud-first strategies, healthcare organizations reimage their IT enterprise architecture to streamline operations as well as improve their productivity and quality of care," said Adriana Allocato, research manager, IDC Health Insights Europe."The opportunities offered by cloud have been a catalyst of greater collaboration between clinical and IT professionals to streamline processes and develop new services, bringing innovation in the business model of MLL as well," said Silvia Piai, research director, IDC Health Insights Europe.

Please Note: Extended description available upon request.

Table of Contents

11 Pages
Executive Snapshot
Situation Overview
The Compelling Case for a Modern Health IT Infrastructure
Why are European Healthcare Providers Adopting Cloud?
Modern Cloud Infrastructure Leading a Paradigm Shift in Clinical Diagnostic Methodology
The Case of MLL
The Cloud-Enabled Diagnostics Paradigm Shift at Munich Leukemia Laboratory
The 5,000-Genome Project: Testing the Value of Cloud Computing
Extending the Use of Cloud to NGS Routine Diagnostics Data and Other Diagnostics Workflows
Embracing a Collaborative Approach to Successfully Capitalize on Opportunities for AI-Based Diagnosis
Data Normalization
Data Modelling
Higher Operational Performance, Scalability, and Improved Security Delivering Value for MLL
The Way Forward
Advice for the Technology Buyer
Learn More
Related Research
Synopsis

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