Centralising ECG trial data can cut costs 40%, says ERT

By Gareth Macdonald

- Last updated on GMT

Centralising ECG trial data can cut costs 40%, says ERT
E Research Technology (ERT) launches Centralised Cardiac Safety 2.0 (CCS 2.0) service for ECG data and says approach improves efficiency, cuts costs and helps sponsors reach database lock quicker than distributed model.

Outsourcing-pharma spoke with ERT executive VP of sales and marketing John Blakeley who said allowing investigators to focus on medicine rather than on the tech used to drive trials was a key motivation for developing the new service and software.

Blakeley explained that, unlike current approaches in which ECGs are collated manually at trial sites, the CCS 2.0 model is to feed information to a centralised repository enabling real time analysis, improving data quality and reducing investigator workload.

He also suggested that centralising ECG data is 35 to 40 per cent cheaper than the decentralised approach which, given the cost pressures facing pharma firms and contract research organisations (CRO), is sure to attract industry attention.

Related news

Show more

Related products

show more

Saama accelerates data review processes

Saama accelerates data review processes

Content provided by Saama | 25-Mar-2024 | Infographic

In this new infographic, learn how Saama accelerates data review processes. Only Saama has AI/ML models trained for life sciences on over 300 million data...

More Data, More Insights, More Progress

More Data, More Insights, More Progress

Content provided by Saama | 04-Mar-2024 | Case Study

The sponsor’s clinical development team needed a flexible solution to quickly visualize patient and site data in a single location

Using Define-XML to build more efficient studies

Using Define-XML to build more efficient studies

Content provided by Formedix | 14-Nov-2023 | White Paper

It is commonly thought that Define-XML is simply a dataset descriptor: a way to document what datasets look like, including the names and labels of datasets...

Related suppliers

Follow us

Products

View more

Webinars