AI and Cloud-Driven Clinical Data Management for Life Sciences

The primary goal of the Life Sciences industry is saving lives. Hence, researchers spend hundreds of hours trying to solve the health and well-being challenges many encounter today.

The hours of effort researchers spend can be reduced by implementing AI and cloud-based technologies in their workflows. Accurate clinical data management and proper safety monitoring also lower trial errors.

With Aratum’s advanced technological solutions, clinical data and research can be efficient, safe, timely, and robust.

clinical data management

PROBLEM POINTS

Overcoming problems through AI and cloud-based Clinical Data Management

Electronic Data Capture

Electronic
Data Capture

Clinical Data Management

Safety Monitoring 

EHR Integration

EHR 
Integration

Managers should have access to accurate clinical data management to ensure that the life sciences industry’s research and development is timely, compliant, and life-saving.

Effectively manage your data and research workflows through advanced technologies to drive accuracy, prevention, and success in your endeavors.

USE CASE

Increasing Clinical Trial Data Points

Recent studies published in Applied Clinical Trials have highlighted the increasing challenges in clinical trial data management due to the growing volume and diversity of clinical data. The average late-stage clinical trial protocol now collects approximately 3.6 million data points, a threefold increase compared to ten years ago. This surge in data complexity has been linked to extended study timelines and efficiencies. This trend is accelerating, creating new challenges for clinical data management.

The study’s respondents identified over twelve electronic data capture solutions, with most organizations using multiple systems. Common pain points included managing mid-study updates, flexibility and customization challenges, database go-live delays, and the high cost of EDC solutions. It also found that managing mid-study updates is time-intensive, requiring about half the time for the initial database to go live. Smaller organizations are faster in early-stage processes, while larger organizations excel in late-stage processes.

Source: Harper, B. and Smith, Z. (2021, February 12)
Characterizing Clinical Data Management Challenges and Their Impact
https://www.appliedclinicaltrialsonline.com/view/characterizing-clinical-data-management-challenges-and-their-impact

Clinical Data Management

Why Choose Aratum for Clinical Data Management?

We Handle Growing Data Volumes and Improve Cycle Times

Cost-Effectiveness and Customization

We Ensure High Satisfaction and Future-Proof Clinical Data Management.

Feature HighlightS

Ability to See

Analyze

Understand

Empowering Researchers with

Advanced Tools to Fast-track Their Success

clinical data management


Aratum offers top-notch clinical data management tools to help researchers solve health concerns promptly and efficiently. With robust, secure, and integrative data analytics and automated processes, we empower you to make faster, data-driven, and accurate conclusions. Drive efficiency, safety, and timeliness in your clinical trials and applications with Aratum Solutions.

Solutions tailored for you

Aratum works closely with your team to tailor precise solutions that fit your unique needs, ensuring 100% satisfaction.   

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Last mile carrier in Hong Kong - Morning Express

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Leading scrap metal processing plant - The Philippines

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