Best Practices, LLC recently released a study that provides insights into the amount of resources pharmaceutical and medical device companies allocate to ensure their products meet quality and ...
Health-related quality-of-life data are often collected during routine clinical care. We present a method to create nationally representative benchmarks for clinical subspecialties. Objectives: Health ...
Converged Analytics Benchmarking allows health plans to have greater insight into how industry performance for quality measures is trending for the current year. While traditional quality benchmarks ...
The PV industry’s rapid factory expansions and quick product rollouts lead to a constant balancing act between the streamlining of production and the introduction of new features to push the ...
Brenton Fargnoli, MD, medical director of value-based care and director of product marketing and strategy at Flatiron Health, recognizes the importance of benchmarking to further improvement. Brenton ...
Objective. Health care quality monitoring has been introduced in cystic fibrosis (CF) by a few groups and national registries. Based upon this, continuous quality improvement can be achieved by ...
DUBLIN--(BUSINESS WIRE)--The "Biologic Drug Product Contract Manufacturer Quality Benchmarking (2nd Edition)" report has been added to ResearchAndMarkets.com's offering. Biologic Drug Product Contract ...
The following data is based on the ASC Quality Collaboration Quality Report from the second quarter of 2017. There were 1,477 ASCs participating, representing more than 1.8 million admissions. The ...
DUBLIN, March 4, 2021 /PRNewswire/ -- The "Biologic API Contract Manufacturer Quality Benchmarking (6th Edition)" report has been added to ResearchAndMarkets.com's offering. This Biologic API Contract ...
DUBLIN--(BUSINESS WIRE)--The "CRO Quality Benchmarking - Phase II/III Service Providers (9th Edition)" report has been added to Research and Markets' offering. CRO Quality Benchmarking - Phase II/III ...
Just because your firm can use your existing data for AI risk modelling doesn’t mean you should. There’s a perception that AI can create accurate predictions based on any data set. That’s not always ...
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