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Category Archives: Information Technology

RAeClinica – Software Development

RAeClinica – Software Development

eClinical Trial Technology, EDC, CTMS, and Technology Integration-Software Development – Web Development and Clinical Research Organization – Contract Research Organization

Source: RAeClinica – Software Development

 
 

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Overview of RA eClinica (Technology Pharmaceutical Services)

Overview of RA eClinica (Technology Pharmaceutical Services)

RA eClinica Solutions (Technology Resource Organization), is your best source for customized solutions. We focus exclusively on clinical drug development in the bio-pharmaceutical industry, we addresses a highly specialized need in an extremely large and growing market with an avid demand for qualified personnel. RA eClinica combination of clinical trials development expertise with technology integration and recruiting resource, allows each of our clients to ‘custom design’ their required needs.

RA eClinica collaborate with each client to develop a solution with our experienced ‘SMEs’ of professionals. Each team is trained in a specific functional area to ensure that each of our clients’ need are met. This approach differs from the turnkey approach of Clinical Research Organizations (CRO) employment and the low value-added commodity style of general staffing / recruitment firms.

Our dedication to serving each of our staff as well as our clients, has earned us a reputation as a reliable source of opportunities in the following areas:

Clinical Programming Clinical Research Biostatistics
Clinical Data Management EDC Developers SAS Programmers
IT Professionals Data Managers Project Managers of Data Management

If you are looking for contract staff (short and long term), permanent staff, “contract to perm” employees or project team deployment, let us help you find the right candidate.

Take advantage of everything that RA eClinica Solutions has to offer you. My colleagues and I look forward to the opportunity to work with you in the near future.


Learn the basics on how to implement CDISC data standards concepts on your clinical trials from study design to FDA data analysis submission.

Need SAS programmers, CDISC Subject Matter Experts (SMEs) or a clinical programmer? We can help provide resources in-house / off-shore to facilitate FDA review by supporting CDISC mapping, SDTM validation tool, data conversion and CDASH compliant eCRFs.

 
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Posted by on November 5, 2015 in eClinical, Information Technology

 

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Case Study 3: Out-of-Box Solution

Case Study 3: Out-of-Box Solution

The Scenario:

The Sponsor required a solution to effectively manage and control users (internal and external).
RA eClinica Solution:

    • RA eClinica collaborated with the Sponsor to develop and implement a user management system that involved training tracking record (LMS), user access request, Role-based access control
    • Develop, deploy and host the clinical documentation service and provide customer support.

Ra eClinica Results:

    • Development of an electronic tool to manage the program and provide ongoing operational management support..
    • Reports are made accessible based on permission on a web browser CFR-Part 11 compliance is maintained on security and privacy of data.
    • Reports are XML-tagged for further integration with in-house systems and third party service providers,
    • Integrated Help desk support system

RA eClinica is a established consultancy company for all essential aspects of statistics, clinical data management and EDC solutions. Our services are targeted to clients in the pharmaceutical and biotech sector, health insurers and medical devices.

For discussion about our services and how you can benefit from our SMEs and cost-effective implementation CDISC SDTM clinical data click here.

 

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RAeClinica – Where Clinical Research meets Technology

eClinical Trial Technology, EDC, CTMS, and Technology Integration-Software Development – Web Development and Clinical Research Organization – Contract Research Organization

Source: RAeClinica – Where Clinical Research meets Technology

 

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Castor EDC Demo

Castor EDC Demo

 

Castor EDC Training and Support

RA eClinica is a established consultancy company for all essential aspects of statistics, clinical data management and EDC solutions. Our services are targeted to clients in the pharmaceutical and biotech sector, health insurers and medical devices.

The company is headquarter in Panama City and representation offices with business partners in the United States, India and the European Union.  For discussion about our services and how you can benefit from our SMEs and cost-effective implementation CDISC SDTM clinical data click here.

 

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InForm EDC Features and Functionality

InForm EDC Features and Functionality

 

InForm 4.x Training
Learn the differences between 4.5 and 4.6 and new features

RA eClinica is a established consultancy company for all essential aspects of statistics, clinical data management and EDC solutions. Our services are targeted to clients in the pharmaceutical and biotech sector, health insurers and medical devices.

The company is headquarter in Panama City and representation offices with business partners in the United States, India and the European Union.  For discussion about our services and how you can benefit from our SMEs and cost-effective implementation CDISC SDTM clinical data click here.

 

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Aside
ABSTRACT
Much effort goes into the specification, development, testing and verification of programmatic edit checks to ensure that the error rate in clinical trial data is sufficiently low as to have no statistically significant effect on the overall trial results. An analysis of several thousand clinical trials, containing over 1.1 billion data values and 1.1 million edit checks, shows that the majority of edit checks (60%) have no impact on data quality; none of these 678,000 edit checks have generated a single data query or discrepancy. What can be learnt from this analysis; can we reduce the overall number of edit checks without compromising data quality; can we identify the ‘high-performing’ edit checks and improve CRF design to avoid data entry errors; are there novel methods that might achieve similar standards of data quality with less effort?

 

Edit checks are necessary to ensure data quality reaches acceptably high levels.

Since programming edit checks takes time and resources, it’s important to ensure that the effort invested maximizes the benefit and re-usability of each edit check.

 

See attached document for full article information published by:
Optimizing Data Validation by Andrew Newbigging, Medidata Solutions Worldwide, London, United Kingdom

 
 

Fair Use Notice: This article/video contains some copyrighted material whose use has not been authorized by the copyright owners. We believe that this not-for-profit, educational, and/or criticism or commentary use on the Web constitutes a fair use of the copyrighted material (as provided for in section 107 of the US Copyright Law. If you wish to use this copyrighted material for purposes that go beyond fair use, you must obtain permission from the copyright owner. Fair Use notwithstanding we will immediately comply with any copyright owner who wants their material removed or modified, wants us to link to their website or wants us to add their photo.

Complexity and effectiveness of edit checks

 

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Data Management Plan in Clinical Trials

The preparation of the data management plan (DMP) is a simple, straightforward approach designed to promote and ensure comprehensive project planning.

This article is an extract from EDC Developer blog. Click here to read it. Data Management Plan in Clinical Trials.

RA eClinical Solutions provides clinical Data Management, Project Management and Technology Support within the Life Science community.

 

Source: EDC Developer

 

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A New Way to Collect Data – CDASH

There is a general consensus that the old paper-based data management tools and processes were inefficient and should be optimized. Electronic Data Capture has transformed the process of clinical trials data collection from a paper-based Case Report Form (CRF) process (paper-based) to an electronic-based CRF process (edc process).

In an attempt to optimize the process of collecting and cleaning clinical data, the Clinical Data Interchange Standards Consortium (CDISC), has developed standards that span the research spectrum from preclinical through postmarketing studies, including regulatory submission. These standards primarily focus on definitions of electronic data, the mechanisms for transmitting them, and, to a limited degree, related documents, such as the protocol.

Clinical Data Acquisition Standards Harmonization (CDASH)

The newest CDISC standard, and the one that will have the most visible impact on investigative sites and data managers, is Clinical Data Acquisition Standards Harmonization (CDASH).

As its name suggests, CDASH defines the data in paper and electronic CRFs.

Although it is compatible with CDISC’s standard for regulatory submission (SDTM), CDASH is optimized for data captured from subject visits, so some mapping between the standards is required. In addition to standardizing questions, CDASH also references CDISC’s Controlled Terminology standard, a compilation of code lists that allows answers to be standardized as well.

Example: Demographics (DM)

Description/definition variable name Format
Date of Birth* BRTHDTC dd MMM yyyy
Sex** SEX $2
Race RACE 2
Country COUNTRY $3

*CDASH recommends collecting the complete date of birth, but recognizes that in some cases only BIRTHYR and BIRTHMO are feasible.

  • *This document lists four options for the collection of Sex: Male, Female, Unknown and Undifferentiated (M|F|U|UN). CDASH allows for a subset of these codelists to be used, and it is typical to only add the options for Male or Female.

The common variables: STUDYID, SITEID or SITENO, SUBJID, USUBJID, and INVID that are all SDTM variables with the exception of SITEID which can be used to collect a Site ID for a particular study, then mapped to SITEID for SDTM.

Common timing variables are VISIT, VISITNUM, VISDAT and VISTIM where VISDAT and VISTIM are mapped to the SDTM –DTM variable.

Note: Certain variables are populated using the Controlled Terminology approach. The COUNTRY codes are populated using ISO3166 standards codes from country code list. This is typically not collected but populated using controlled terminology.

Each variable is defined as:

  • Highly Recommended: A data collection field that should be on the CRF (e.g., a regulatory requirement).
  • Recommended/Conditional: A data collection field that should be collected on the CRF for specific cases or to address TA requirements (may be recorded elsewhere in the CRF or from other data collection sources).
  • Optional: A data collection field that is available for use if needed

The CDASH and CDICS specifications are available on the CDICS website free of charge. There are several tool available to help you during the mapping process from CDASH to SDTM. For example, you could use Base SAS, SDTM-ETL or CDISC Express to easily map clinical data to SDTM.

In general you need to know CDISC standards and have a good knowledge of data collection, processing and analysis.

With the shift in focus of data entry, getting everyone comfortable with using a particular EDC system is a critical task for study sponsors looking to help improve the inefficiencies of the clinical trial data collection process. Certainly the tools are available that can be used to help clinical trial personnel adapt to new processes and enjoy better productivity.

 

Source: EDCDeveloper

Anayansi Gamboa has an extensive background in clinical data management as well as experience with different EDC systems including Oracle InForm, InForm Architect, Central Designer, CIS, Clintrial, Medidata Rave, Central Coding, OpenClinica Open Source and Oracle Clinical.

 

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