Please enable JS


DATA management services

Quality of Data
through comprehensive
clinical Data Management

1. Study setup

  • Input in CRF design
  • Creation of annotated CRF
  • Data Management Plan (DMP)
  • Data Cleaning Plan (DCP) & Programming
  • Data Validation

2. Study conduct

  • E-Platform and database hosting
  • Handling reference ranges
  • Data integration
  • Data Cleaning Process
  • (Risk-based) Data Monitoring
  • Data exports

3. Study close out

  • Data reconciliation across multiple sources and systems
  • Database lock, transfer & archiving
  • Data Management Report
  • SDTM mapping


As a CDISC expert, Telemedicine Technologies offers high quality Data Management services.

CDISC creates clarity in clinical research by bringing together a global community of experts to develop and advance data standards of the highest quality. CDISC enables the accessibility, interoperability and reusability of data for more meaningful research that has greater impact on global health. Based on the development of its own data collection and clinical data management tools, Telemedicine Technologies has seamlessly built processes to apply CDASH and ODM* standards during eCRF & database design and export.


Based on ODM standards, Telemedicine Technologies has built cutting-edge tools that allow for compliance with SDTM* standard.

Based on ODM data collected in the eCRF, Telemedicine Technologies provides SDTM mapping which will then be transferred to biostatistics for further analysis resulting in ADaM datasets. The SDTM datasets generated by Telemedicine Technologies are provided together with a SDTM Mapping Guide (which defines the mapping between collected data and CDISC domains), a SDTM Annotated CRF and a define.xml which describes the metadata of the SDTM package.

* ODM (Operational Data Model) is a recognised Operational Data Model for data collection, exchange and archiving. Based on ODM standards Telemedicine Technologies has built cutting-edge tools that allow for compliance with SDTM* (Study Data Tabulation Model) standard.

* SDTM (Study Data Tabulation Model) provides a standard for organising and formatting data to streamline processes in collection, management, analysis and reporting. SDTM is one of the required standards for data submission to FDA (U.S.) and PMDA (Japan). Based on ODM data collected in the eCRF, Telemedicine Technologies provides SDTM mapping.

corner top

Data Security

Telemedicine Technologies has been processing electronic data for the clinical research industry for over 2 decades. Telemedicine Technologies Standard Operating Procedures (SOPs) and software are built to address and ensure the confidentiality, integrity and availability of data and systems. Telemedicine Technologies software and related e-Platforms comply with GAMP-5 guidelines, FDA 21 CFR Part 11 recommendations, ICG E6 (R2). All communications and data are encrypted. Study documents are stored in secured and password-protected systems. Systems and data are backed up on a daily basis and policies are in place for retention and to ensure integrity and security of the backups.

corner bottom


Telemedicine Technologies fully complies with the EU General Data Protection Regulation 2016/679 of 25th May 2018 and certifies that all procedures are in place to guarantee ad hoc processing of all personal data.



64 +


20 000 +


3 million +

in database

50 000 +


telemedicine technologies earth


telemedecine technologies news

How Are Healthcare AI Developers Responding to WHO’s New Guidance on LLMs?

January 31, 2024

Med City News This month, the World Health Organization released new guidelines on the ethics and governance of large language models (LLMs) in healthcare. Reactions from the leaders of healthcare AI companies have been mainly positive. In its guidance, WHO outlined five broad applications for LLMS in healthcare: diagnosis and clinical care, administrative tasks, education, […]

telemedecine technologies news

Can Machine Learning be Efficient in Organizing Patient Safety Event Reports?

January 31, 2024

Applied Clinical Trials Online Patient safety event reports (PSEs) play an integral role in hospitals for keeping accurate records of adverse events (AEs). A challenge faced by hospitals is efficiently and accurately classifying these AEs due to the sheer number of reports that are created. A recent study published in JMIR turned to machine learning […]

telemedecine technologies news

Supporting investigators and sites in the evolution to decentralised clinical trials

January 31, 2024

International Biopharma The growing uptake of decentralised clinical trials in recent years reflects several key drivers such as advances in remote monitoring technology and data analytics, the need to access broader, more diverse trial populations, and demand in clinical development for cost efficiencies and meaningful, real world study outcomes. However, we are at a point […]