Advanced CTMS, such as Qolty, can help you take your clinical trials and studies to success.
3.1. Data Architecture
Qolty gives you access to a huge amount of data. As mentioned earlier, CTMS helps institutions collect and manage data easily.
Based on your requirements, you can access profiles of participants that could eventually enroll in your study. What’s more, you have real-time access all the time. Having access to information that’s not tied to a specific study is crucial as it gives researchers flexibility, while at the same time, it offers the opportunity to save valuable time and cut costs.
For instance, core Qolty helps you enter and view data in no time. Most of all, this CTMS helps you manage your data. All data fields are stored in nodes/forms, which allows you enter and access data in various formats, such as text fields and drop downs. Thus, even people who are not so tech-savvy can use Qolty and operate data, which is much easier when compared to MS tables.
Usually, such nodes of information are stored in containers that can help you build more complex entities, based on programmed processes. When we talk about more complex operations, we mean combining patient’s data with automatic actions, such as functions “if-this-then-that” base. Seeing the bigger picture can only facilitate research.
The good news is that nodes can be tied to other nodes, and even forms collected from different studies can be linked together. Thus, information doesn’t float isolated in the mist of research findings, and actions and consequences can be easily explored.
As we know, entering data might become a tiring process marked by mistakes and missing answers. In order to resolve such issues, another unique feature Qolty offers is that the program eliminates mistakes and human errors. How? Usually, using codes instead of diagnoses can facilitate data collection, entry, and export. You don’t need to type ‘blood pressure’ thousands of times, for example, but simply can enter a code or a numeric value. An option that prevents typos or some other mistakes can also be implemented. For instance, the system may not let you enter an age of participants over 100. Having clear data supports meaningful results.
3.3. Multi-center approach and meta-analysis
There’s one thing that is even better than accessing and using data easily: multi-center approach and meta-analysis. In other words, Qolty and its databases provide examiners the chance to merge information from different studies and use the combined information for further analysis. Let’s say that two separate studies have collected information on people’s alcohol use. With Qolty, all these cases can be combined, compared, and used within clinical settings.
On top of that, data can be used in multiple clinical settings, which helps not only research within a specific institution, but a cross-institutional meta-analysis and multi-center approaches. Now let’s focus on this unique feature: multi-center approach. Usually, different studies are managed by different experts. Even if many institutions use the same data provided by Qolty, researchers still can have different levels of access and permission rights. Thus, independent studies and their administrators can collect and manage data, while at the same time other study centers can benefit from their findings, view data and use it (for instance, as automated clinical reports).
Another important aspect of CTMS like Qolty is the so-called plug-ins. When it comes to huge sets of information used across multiple environments, plug-in settings help you manage your data. Plug-ins can be used to import/export information, such as medical reports, patient’s information data, PDF’s or even replace it with graphs and images. What’s more, Qolty is compatible with programs and suppliers of health information technology solutions and services, such as Cerner and Epic, so charts and graphs might be linked to the data collected. Having good visuals can help you structure and analyze your data as well as present it in front of other institutions and bodies.
Although CTMS sound appealing, many researchers fear their hard to implement features plus their bureaucratic side. Well, Qolty is a unique example of CTMS because its structure and architecture give researchers not only a wide access to information but an easy to use platform. All that is combined with an interactive interface. Even non-technical individuals can use the database and its hundreds of advanced modules, such as NIH PROMIS and Geofencing. With the ability to collect subjective and objective data, via ESM and phone sensors, respectively, Qolty strengthens the connection between users and researchers.
As mentioned above, Qolty surprises with its wide variety of modules. Some of the options researchers can choose from are NIH Toolbox, Neuropsychometric Surveys, Symptom Journals, and Private Labeling. Such methods have been used in many studies that use Qolty to improve patients’ health and take a meaningful decision regarding treatment and outcome. For instance, Children’s Hospital Los Angeles utilized Qolty to monitor weight loss in an obese pediatric population. As this problem is a health concern worldwide, with Qolty, other institutions can use the data collected and expand their research.
Here’s the right time to mention another module researchers and participants approve of: the wide use of Qolty to collect data across multiple medical settings. As a subcontractor for EHR Access to Seamless Integration of PROMIS (EASI-PRO), researchers can use Qolty to collect data by asking only relevant questions, which makes questionnaires shorter. By reducing questions, researchers reduce the cognitive load and emotional burden participants may experience, which is a great motivator for the completion of clinical trials. Thus, collecting data for clinical trials is more than easy.
3.7. Appealing Design and Notifications
Let’s not forget that CTMS is appealing and may take your research to the future. As a sophisticated and interactive program, Qolty takes an advantage of technology and apps, in particular. All you and your participants need to provide, collect and manage data for a clinical trial is a mobile device. With the advanced implementation of push notifications, via SMS and emails, surveys and reports are easily being noticed and complied with in a timely manner. With its advanced tech feature, researchers can track new entries and analysis data. Thus, surveys and tests are not burdensome but appealing and easy to manage. As mentioned earlier, the data collected is available at all times.
3.8. Digital Consent & Security
Qolty is an advanced CTMS, which resolves all the ethical dilemmas that may appear. As mentioned above, security and personal data should be confidential and protected, so consent forms are needed before any research endeavor. Qolty eliminates any potential problems because consent forms and “in-fight” consent waiting for a signature are included. Also, you can manage who can view and access your database. As described above, you can provide different permission rights within your research team or any multi-center approach. Usually, the administrator has full access to view, edit, and delete sets of information and forms; while other researchers or members of the team can have only assisting functions. For instance, assistants may be allowed to enter data only, while other organizations may be allowed simply to view data in order to support their research and enrich their database.
Most of all, the information stored in Qolty is completely secure. As Qolty offers a HIPAA secure way, the program provides a cloud-hosted version of the CTMS, and also, a self-hosted version of the software. Note that in both cases safety is guaranteed and control of data is only in your hands.