Tag Archives: data

Emily Newton, Revolutionized Magazine
MEDdesign

How Is the Digital Transformation Making Medical Manufacturers More Agile?

By Emily Newton
Emily Newton, Revolutionized Magazine

Growing pressure on the manufacturing industry from rising prices, new regulations and supply chain uncertainty have accelerated medtech’s digital transformation. COVID-19, in particular, has encouraged medical manufacturers to adopt more resilient and agile working practices. New technology can enable process changes and business strategies that help medical manufacturers become more flexible and responsive to changing…

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Medtech, innovation

Why Documents and Data Can No Longer Be Treated as Distinct Entities

By MedTech Intelligence Staff
Medtech, innovation

If teams across regulatory, quality and safety functions—as well as further across the life sciences enterprise—are to be able to think and operate in more agile and dynamic ways to achieve what is necessary, then the way that they generate, manage and store documents and data needs to change fundamentally. Regulatory changes (e.g., towards data-driven submissions activity, more dynamic item/label tracking, etc.) are prompting some of this change, but cannot be relied upon exclusively to drive the process improvements now needed.

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Romuald Braun, Amplexor
Soapbox

Smart IDMP: How to Ensure Preparations for ‘Data-Driven’ Future Are a One-Time Investment

By Romuald Braun
Romuald Braun, Amplexor

EMA’s IDMP is not the pinnacle of data-based product/regulatory information management. It is simply the first in what will be a long line of digital requirements to emerge globally, across all facets of life sciences. This article reviews best practices for companies looking to maximize the ROI of their data-driven process transformation initiatives by making them more broadly fit for the future.

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Brian Greene, HMD Labs
Soapbox

Smart Device Startup Data Challenge: Synch Building with Funding

By Brian Greene
Brian Greene, HMD Labs

To achieve success, a medical device startup must build a sophisticated data architecture specifically designed to deliver maximum value for its customers’ use cases. However, it’s extremely difficult to build such an architecture—especially given early-stage budget constraints. That’s why startups must wisely synch their data architecture spending with their funding rounds.

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