Clinical Trial Data Quality: 4 Reason Domo Drives Excellence

Clinical trial data quality refers to the cleanliness, readability, and accuracy of data repositories and visualizations related to clinical trials. In this article, we’ll explore the unique reasons Domo enables clinical research organizations to reduce data errors and improve clinical trial data quality, accuracy, and accessibility.

1. All in One Data Management System for Clinical Trials

Global clinical trials data has long faced the challenge of finding a central platform to extract, store, transform, and visualize their complex data. Domo offers a platform that not only includes each of these capabilities, but is the most user friendly and highly adopted platform in the industry.

Cloud Data Warehousing for Global and Digital Clinical Trials

Cloud data warehousing offered by Domo is the best solution possible for not only clinical trials that are geographically spread out, but also for the up and coming decentralized digital clinical trials. There are several reasons the Domo platform drives unusual value through exceptionally high adoption rates, some of those helpful benefits include industry-leading mobile access, highly secure data, and increased speed and scalable performance.

Variety and Flexibility of Data Extraction and Transformation Technologies

Clinical research organizations have to clean and organize data from multiple sources such as labs, logistics companies, and trials sites in order to have high caliber clinical trial data quality. Domo offers multiple data sourcing and cleaning capabilities ranging from prebuilt connectors, to the drag-and-drop Magic ETL, SQL, Blend, and more. If you have data that is messy – Domo is the optimal platform enabling organizations to make sense of it.

Quickly Build and Customize Meaningful Visualizations

There is no shortage of data visualization tools, but with the depth of capability far beyond simply visualization and with the seamlessness of the whole experience relative to other platforms, Domo does rise above what has been possible.

However, on the visualization side Domo also excels. In what Domo calls “Analyzer”, one can customize chart properties, add custom calculations at the visualization or dataset level and much more even including effective ad hoc analysis. It is possible to choose from more chart types than in any other platform today (as well as extend the platform without limit using external visualizations from the D3 library and others), customize as desired, include detailed summary information, drill to the lowest level of detail, drill-through/across to related dashboards and reports and much more.

2. Domo Embodies the Principles for Responsible Clinical Trial Data Sharing

Principles for responsible clinical trial data sharing refer to not only a patient’s ability to understand their own health status, but also to pharmaceutical companies’ responsibility to share clinical trial data with qualified researchers that are respected members of the scientific community for peer review.

Patient Access to Easily Understandable Data

Patients of clinical trials are entitled to transparent access to their data. With Domo, organizations can pull in a wide range of data sources ranging from lab results to dosage scheduling and give patients access to their information conveniently in Domo’s mobile application while maintaining data privacy in clinical trials using Domo’s Personalized Data Permissions (PDPs).

Improved Ability to Share Global Clinical Trials Data Among the Scientific Community

A foundational component of clinical trials is transparency and not just for patients. The standards in place that require clinical research organizations to share their clinical trials data with qualified scientific experts for review protects patients from the risk of scientific misconduct. With Domo, PDPs can also be used to enable access for external members of the scientific community to an organization’s data in an secure and controlled fashion.

3. Domo’s Intuitive Interface Creates Business Analysts out of More People

A great way to improve clinical trial data quality and output is to empower subject matter experts within departments to do clinical trial data analytics themselves. With Domo’s uniquely user-friendly interface and abundant training material through Domo University, it is possible for any employee to expand their current expertise to include analytics and lead efforts for their respective team or department.

Drag and Drop to Extract, Transform, and Load – The Magic ETL

Clinical trial data is often complex and stored across a multitude of different electronic data capture software for clinical trials. While SQL and coding experts can go as deep and detailed as they would like, with Domo’s Magic ETL, clinical trial data analysis has never been easier. This capability offers a multitude of data transformations including joining, appending, pivoting, un-pivoting, changing data types, cleaning data, working with R and Python and much more.

Easily Switch between Desktop and Mobile Front End Design

In a world where almost 70% of internet traffic now takes place on mobile phones, Domo’s iOS and Android applications truly stand out. Domo’s platform enables analysts to easily switch between mobile and desktop layouts for the same dashboard with zero reformatting work when using mobile version, using any of the core visualization and UI content.

Custom Domo apps also offer mobile users seamless access to dashboard and content to review metrics in real-time, and also allow for sharing and collaboration across the platform including in mobile, that outdated clinical trial data analytics platforms simply cannot compete with.

4. Clinical Trial Data Services Provided by Trusted Domo Certified Partners

Clinical trial data integration services are often needed for initial architecture and implementation of clinical trial data management software. While this is less of a requirement in Domo, when needed, Domo connects their customers to trusted partners like Graphable, Inc for consulting help.

Domo Parters have a thorough Technical Certification Process

At Domo, in order to become a certified partner, every consultant is required to move through three tiers of certification – Accreditation, Professional Services, and Technical Certification. This ensures that when you choose a Domo partner to consult for your organization, you’ll be getting a well-trained expert that is equipped to efficiently extract, transform, load, and visualize your clinical trials data.

Graphable – A Domo Partner that Emphasizes Continue Education for Consultants

In addition to Domo’s required certification requirements, here at Graphable (a certified Domo Partner), there is also a policy to support continuing education for each of their consultants. On an annual basis, consultants work with their respective managers to determine ongoing continuing education certifications based on popular customer needs within the clinical trials space as well as broader technical and industry knowledge and skills (e.g. everything from advanced SQL, to Python, R, Cloud Data Science to industry training and much more).

Graphable offers Clinical Trial Data Services

Graphable offers Domo Consulting and has several consultants with experience in the clinical trials and the broader life sciences including the pharma, healthcare and biotech sectors. We partner with organizations to independently evaluate if Domo is the right solution for the requirements at hand.

Conclusion: Clinical Trial Data Quality is Greatly Enhanced with Domo

In this article, we explored the unique reasons Domo enables clinical research organizations to reduce data errors and improve clinical trial data quality, accuracy, and accessibility. Clinical trial data quality can be greatly improved in organizations by using Domo – and our team at Graphable looks forward to partnering on your architectures and implementations.

Read here for more specifics on clinical data trial analytics, and click on these links for more on the related clinical trials Streamlit application (Streamlit tutorial), and here for the article on graph etl / Neo4j etl with a focus on clinical trial data, as well as this article on patient journey mapping.