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Best Tips to Hire Clinical Data Management System Vendors – Complete Guide 2022

Posted in resource augmentation

Last Updated | October 11, 2022

Executive Summary – Clinical Data Management System Vendors

Clinical data management requires organizations to ensure regulatory compliance and develop clinical data management plans while ensuring data security. However, these processes are challenging when done manually. Read on to learn how to hire the right CDMS vendor to create an automated system that can help you achieve a better data management system.

Introduction – Clinical Data Management System Vendors

In the past three years, the pandemic has completely changed the way organizations approached clinical data management. Remote data-sharing technologies played an important role for patients and doctors navigating through the pandemic. In addition, technological advanced like artificial intelligence and data visualization paved the way for seamless data management.

Clinical data management has two primary components, the professionals who are responsible for data-related tasks and the technology that’s used to perform the data tasks. Using a well-designed healthcare ERP system and CDMS ensures that data is processed correctly, which helps centralize data management. Here in this article, we will be sharing everything about CDMS and how you can hire the best clinical data management system and vendors!

Related Guide: Importance of data quality in healthcare

What Is A Clinical Data Management System (CDMS)?

what is clinical data management system vendors

It’s common for organizations to ask, “What is the role of clinical data management?” It wouldn’t be wrong to say CDMS is the base for clinical research to capture and integrate data from patients, clinicians, wearables, devices, and medical diagnostic software. The clinical data management system helps manage the research data according to regulatory standards to ensure the capturing of high-quality information.

The healthcare app development and CDMS development ensure that maximum data can be collected for analysis. In addition, specialized features in CDMS healthcare UX design help create audit trails that identify and minimize the discrepancies in complex and large-scale clinical trials. It not only helps capture data but also validates it by leveraging the IRT, EDC, and ePRO modules.

Explore More: Role of data analytics in healthcare

Why Do You Need A CDMS Vendor?

Hiring the right clinical data management system vendors is essential. They can help design a user-friendly clinical research solution that allows the researchers to increase the quality of clinical data. In addition, they ensure that you’ve access to a powerful, secure, and compliant CDMS that improves efficiency.

The clinical data management system vendors can integrate features that help edit checks and edit the forms during a trial to comply with the protocol changes. In addition, they create high-compliant data reviews and query management. Also, if you are wondering what is query management in clinical data management, it’s a process that helps identify and clear out discrepancies in the clinical trials’ data.

Investigate More: What is health information exchange by the state?

How Do You Choose the Right CDMS Vendor for Your Organization?

choose the right clinical data management system vendors

The CDMS is a complex yet crucial part of any clinical organization, which is why effective management of the database is convenient. For this reason, it’s critical to find reliable clinical data management system vendors and we are here with some factors that you’ve to consider;

  1. Track Record

With the increasing data volume, data storage and retrieval becomes challenging, which makes it hard to manage the data manually. For this reason, whenever you hire EMR EHR software development services, make sure they have a proven track record of building and maintaining a CDMS system to make sure yours remain operational as well. You should also check the website reviews to make an informed decision.

  1. Functionality

Before you hire the vendor, make sure the CDMS vendor focuses on functionality in data management systems, including analysis, automation, segmentation, ROI management, visualization, and forecasting. So, before you hire the CDMS vendor, make sure they consider these functionalities.

  1. Security & Compliance

Another factor you’ve to consider is security and compliance. Make sure they use cutting-edge security protocols while designing the CDMS that helps protect the clinical data and personal information of the clinicians and patients. In addition, the data should be stored according to the healthcare organizations, including HIPAA, IRT, and EDC.

  1. Support Services

Make sure that the CDMS vendor has reliable and round-the-clock support services available. In addition, it’s better to choose a vendor that provides phone support because email and chat support won’t be fast enough and will interfere with communication.

  1. Data Extraction

If you already have collected data from previous trials and need to integrate it into the CDMS, you have to ask the vendors if they are offering data extraction. Data extraction is a complex process and needs to be completed without any errors, so make sure the company provides data extraction – it’s essential for accurate data analysis. In addition, they should help migrate extracted data into the CDMS repository for improved security.

Much Related: Key components of a medical record system

EMR software

What Are The Benefits Of Using A CDMS Vendor?

The clinical data management system vendors have patented technology that collects, cleanses, and standardizes the data. In addition, they have cloud-based systems that help with data storage. CDMS vendors offer automated data collection by unscrambling and standardizing the data from different sources.

They can create specialized CDMS that allows automated data translation and standardization. The vendors can help you send and follow up on the requests for partnered information – it helps ensure on-time collection of the data.

How Much Does A CDMS Vendor Cost?

Medical device software development and CDMS development have various costs involved. The clinical data management system vendor cost includes upfront costs, term commitment, recurring costs, add-in costs, system integration fees, per-user charges, and training costs. Usually, the on-demand CDMS might cost you $1,000 to $20,000. On the other hand, the enterprise on-site CDMS will cost $100,000 to $500,000, depending on the number of users, features, and modules.

Conclusion

A clinical data management system (CDMS) is a necessary tool that’s used in clinical research to manage clinical trials. It helps reduce errors caused by human entry and helps verify the data. In addition, it helps validate the clinical data but consider the said factors while finding a Clinical Data Management System vendor to reap the complete benefits of CDMS.

FAQs

How does the selection process work when choosing a CDMS vendor partner for your study team?

The CDMS vendor selection process includes determining the vendor and product requirements, conducting vendor evaluations, identifying the potential vendors for vetting, and shortlisting the most qualified vendors. In addition, it’s important to vent the financial stability of the vendors and negotiate the terms.

What are the benefits of using a CDMS vendor for your research study data management needs?

Hiring the CDMS vendor will help create a system that helps with data capturing, storage, and validation. In addition, the vendor can help create a CDMS that helps handle and collate the submissions from different research candidates.

What are some common features of CDMS software programs?

Some of the most common features of CDMS include a global library for storing the data, tools that capture components of the clinical trial protocol, automated procedures for customizing and generating the forms, and defining the data derivations and validations. In addition, it should have a discrepancy database that automatically syncs with changes to validation definitions and clinical trial data.

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