Electronic Registration Programs.
We develop web-based Clinical Case Registry Programs with the objective to acquire meaningful real-world data to generate real-world support evidence-based practices in healthcare data science.
With a rigorous and systematic approach, our Registry Programs promote collaboration among multiple healthcare stakeholders, offering the following functionalities:
– High-Quality Data Collection: This includes information on diagnosis, treatment, clinical and epidemiological outcomes, and medication side effects (safety), among others.
– Customizable Software: We use software that is tailored to the specific needs of our clients, enabling efficient management of clinical data.
– Data Integration: We are able to integrate data from diverse sources such as electronic health records, medical registries, institutional databases, surveys, among others.
– Universal Coding Standards: We adhere to universally accepted coding standards in the healthcare domain, facilitating benchmarking and analysis.
– Standardized Variables and Fields: We define clinical and epidemiologic standardized variables and fields, specifying data type, length, allowed values, units of measurement, and other relevant aspects.
– Form and Template Implementation: Our programs incorporate forms and templates that can include specific questions and standardized responses options.
– Data Collection Protocols and Guidelines: We establish protocols and data collection guidelines to ensure consistency and accuracy in the process.
– Data Validation and Cleaning: Our process involves verifying data consistency, integrity,access and accuracy, rectifying any errors or inconsistencies.
– Data Security and Privacy: We implement physical and electronic security measures and policies of to protect patient confidentiality and comply with local, regional and/or national regulations.
– Training for Clinical and Support Staff: We provide training to clinical and data entry personnel to ensure proper and consistent data collection.
– Data Analysis and Visualization: We employ tools for data analysis and data visualization, enabling identification of patterns, trends, and relationships among variables.
– Multidisciplinary Clinical Professional Collaboration: Our programs encourage collaboration and participation from diverse clinical professionals in data collection and analysis.