4 Key Integrations for Clinical Trial Management System

 


Conducting a clinical study is a massive and often stressful endeavour. Advances in technology, particularly in medical sciences, have made healthcare more inexpensive. Clinical trials are gotten increasingly sophisticated as an increasing number of individuals want to be treated.

A clinical trial entails thousands of people patients, physicians, researchers, and so on as well as numerous clinical support systems and a massive quantity of data. Manual administration of these procedures may result in mistakes, resulting in significant data misunderstanding and carelessness. This is where clinical trial management software enters the picture.

 

Challenges

1. Time: Because the usual testing procedure might take up to 14 years3, medications may only be just on market for a few years before facing generic competition.

2. Complexity: As trial complexity increases, so does the expense and quality of the study. Drug testing can need hundreds of sites, sophisticated processes, and the participation of hundreds of highly skilled people.

3. Risk Management: Standardizing clinical trial operations to meet regulatory requirements necessitates substantial planning and IT sophistication.

 

Integration

1.RPE (Subject/Protocol Information Interface)

You may also communicate subject registration status and protocol information into your EMR, flagging study individuals for clinical and billing procedures.

By centralising essential information across your clinical, operational, and financial teams, this process, which employs the IHE Retrieve Process for Execution (RPE) profile, improves participant safety and staff communication within the contract research organization.

2. Interface with the Electronic Institutional Review Board (eIRB)

IRB clearances are a frequent starting point for a range of duties during the research activation process. With many schools always striving to increase study activation, mechanization within this workflow can considerably boost productivity.

By integrating an eIRB system with your CTMS, you can ensure that the IRB status is constantly up to current in both systems. This saves time and improves data quality by eliminating the need for regulatory coordinators to enter redundant data.

3. Protocol for the CRPC Billing Grid

The Clinical Research Process Content (CRPC) profile simplifies the transfer of complicated study billing specifications from a CTMS like the OnCore Enterprise Research System or Clinical Conductor CTMS to an electronic medical record (EMR) system.

This interface enables all team members participating in the research and billing processes to use the same billing designations, improving compliance and reducing redundant operations in your CTMS and EMR systems.

4. Interface to the General Ledger System

Integrating a GL system, such as the OnCore receivables interface, automates two critical components of the billing process: submitting bills and researchers to the GL system and reconciling payment for those activities inside the CTMS.

This straightforward method avoids the difficult and time-consuming manual process of transferring invoices between the two platforms. Your finance teams may examine invoice and receipt information in real-time, allowing them to assess the financial status of a procedure and act on it quickly and efficiently.

 

Conclusion

Artificial intelligence, data analytics, and CTMS software all help to decrease the risk of additional costs and delays. These technologies' data processing capabilities can also help drug discovery companies to lower overall costs and increase the efficiency of future research.

If system integration is a top concern for your organisation, make sure to factor it into your search for an enterprise system. While many suppliers may have technical mechanisms in place for connecting with EMR, GL, and other systems, it's crucial to discover which customers (if any) are exploiting such linkages throughout their research portfolio.

 

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