Unlock the full potential of your clinical data
Datavid’s clinical data management services help you link your data, manage access to it, and abide by privacy laws.
Helping world-class firms make the most of their data
For most health and medical research, clinical data is a key resource.
But it's also highly personal and—most importantly—protected by law.
One of the main questions our customers ask is:
"How do you leverage clinical data while staying compliant?"
The answer lies in proper data management.
With Datavid’s comprehensive data solutions, your clinical data is made compliant by default while still delivering the information and functionality your organisation needs.
Extract knowledge out of clinical data
To help your organisation make the most of its clinical data, Datavid collects it from various sources that are important to you and creates a unified experience that's easy to use and iterate on over time.
Comply with HIPAA and other privacy laws
Datavid’s HIPAA-compliant clinical data solutions enable the long-term protection, use, and access of your organisation's patient data.
We never cut corners on compliance and security requirements.
Access updated data in near real-time
Datavid’s clinical data software tools ensure the availability of data from third-party partners and internal departments in near real-time, making it possible for your organisation to stay on the cusp of cutting-edge research.
Creating real-world value through data
When working with your organisation's data, there isn't just a project at stake, but rather years of work and corporate knowledge. That awareness alone leads Datavid to implement a rigorous approach for project delivery.
Make the most of your clinical data
Healthcare organisations generate a lot of data, and that data is often private personal information that is frequently spread among numerous legacy systems with poor interoperability.
Data inconsistencies not only take up medical professionals’ time but they also affect the standard of care. Post-pandemic, healthcare data has increased exponentially, accelerating the need to integrate and manage it thoughtfully.
To help with this, Datavid offers bespoke data solutions that enhance the patient's experience and streamline procedures to give your business the edge against competitors.
Uncover hidden knowledge at a fast pace
Clinical data stored in electronic records is primarily unstructured, yet legacy systems rely on structured data, so they leave out important information.
Datavid uses NER (named entity recognition) capabilities to turn unstructured clinical data into structured information richer in meaning and business value.
That way, you can extract relevant information about diseases and their connection to drugs by mining data in electronic records and published health literature. This helps in disease detection, drug discovery, automating clinical processes, and enriching health content for consumption.
Build a common understanding of your data
Knowledge in the medical domain is diverse and complex which doesn’t allow for easy representation and exchange of information in a secure and efficient manner.
Datavid aims to solve this challenging task thanks to carefully crafted medical domain ontologies created in conjunction with medical experts. The result is accurate, valuable medical information that's easy to share across the organisation and with third parties.
CASE STUDY
Revitalising Smith + Nephew PMPA’s data architecture
Datavid helped Smith + Nephew, a leading medical technology company, by reviewing and improving their Post Market Performance Analytics platform’ architecture, resulting in cost-cutting and faster product development.
Datavid introduced agile methodology and a multi-disciplinary team with expertise in various technologies to provide efficient support and maintenance.
The PMPA platform was reprogrammed according to the best-fit technologies and continues to receive dedicated full-stack developers' support.
Datavid's winning solution was to implement agile development methodology and software development best practices to overhaul the architecture of the Smith+Nephew Post Market Performance Analytics platform and reprogram it.
Your questions. Answered.
Clinical data management involves collecting, cleaning, and organising data from clinical trials and studies to ensure its accuracy and integrity for regulatory compliance and decision-making in the healthcare and pharmaceutical industries.
- Data Collection: Gathering data from clinical trials and studies.
- Data Entry and Validation: Entering and verifying the collected data for accuracy.
- Data Cleaning: Identifying and resolving discrepancies and errors in the data.
- Database Lock: Finalising the database to prevent further changes, typically before statistical analysis and regulatory submission.
Types of clinical data include:
- Demographic Data: Information about patient characteristics.
- Clinical Observations: Data on patient signs and symptoms.
- Laboratory Results: Test results like blood tests or imaging.
- Adverse Events: Information on side effects or complications.
- Patient-reported Outcomes: Data from patient questionnaires.
- Medical History: Patient's past health information.
- Treatment Information: Details on administered treatments or interventions.
Take your organisation's data practices to new heights
