Technology continues to play a crucial role in healthcare advancements. This role, particularly, comes out when developing new vaccines, boosters, or other clinical research and studies. Hence, research organizations may notice the growth of clinical trial management software (CTMS). Efficiency and cost reduction are among the critical reasons for this increasing adoption of CTMS.
Using CTMS can allow centralized data access to your team. In addition, it can easily handle recruitment and provide control and tracking of target subjects. This can help reduce trial delays. However, this is only possible if you get the right clinical trial software for your research needs.
Choosing a CTMS can be challenging. Some vendors can provide demos that let you see what their products can do. Some things to try here include importing content from third-party platforms. This enables you to know if the content format significantly changes. Thus, you can decide if the software is compatible with your existing infrastructure. But, sometimes, the demo trial runs might not be enough. Several factors determine your final choice and they include the following:
Your operations are primarily research-focused. Thus, your scope and mode of operation can significantly change from time to time. For instance, you might want to increase your trial locations locally and internationally. In addition, you may also want to add parallel trial programs.
Therefore, the clinical trial software you choose should accommodate all lateral and vertical changes during your trial period. Growth also comes with increased data handling. This includes data storage and data security. Therefore, it would be best if CTMS could grow with your organization without compromising its database. Essentially, the solution’s scalability should come with a minimal increase in your operating costs.
Alternatively, you can determine CTMS’s scalability prospects in various ways. For instance, you can look at current software versions and how many customers use each version. Too many existing versions can mean the vendor doesn’t have a concrete growth strategy. This can also mean even the latest versions can be risky to upgrade if the need arises. Thus, you risk drawdowns if you need to increase your data handling capacity or trial sites. On the other hand, it can show a vendor’s practical support for your organization and software’s growth if existing customers use the latest version.
2.Compliance And Security
By design, clinical trial software solutions adhere to industry standards and regulations. However, a clinical trial can involve massive data processing. Therefore, ensuring the software platform can guarantee data security, privacy, and compliance with necessary regulations is essential.
Such regulatory frameworks in the health insurance portability and accountability act (HIPAA) provide data security and privacy guidelines. Therefore, finding out if the software has the necessary measures to comply with these provisions would be best. Other security measures can include access level restrictions and data backup plans.
A clinical trial software technology can still pose challenges during its use. Furthermore, clinical trial research can evolve. This can mean the operational metrics of the software can also change with it. Thus, it would be best if you could access the vendor’s customer support team when necessary.
The software vendors should be available to assist as you require. This can be done through remote or onsite support. Additionally, they should organize training and tutorials for your team to ensure you efficiently utilize the software’s functionalities. The vendor should also consider your evolving needs and advise how the CTMS can integrate them. It would also be best for the vendor to have dedicated account managers. This can help build a closer relationship, thus improving your communication and feedback mechanisms.
All clinical trial software solutions can look good in a stand-alone environment. Furthermore, some developers might build software that operates well in a silo. Such solutions can lag or fail once you deploy them into your system. An ideal clinical trial software should be open and allow data exchange in its protocols.
Therefore, looking at how CTMS operates within your more extensive infrastructure would be best before settling on it. The software should integrate smoothly with such platforms as electronic data capture (EDC) and clinical research process content (CPRC) billing grid. This integration can help provide smooth transitions from data gathering to billing definitions. Furthermore, robust integration with the existing system can significantly reduce or eliminate duplicate processes.
Effective CTMS should also allow you typical functionalities with your existing infrastructure. Thus, improving efficiency and faster data processing. In addition, it can enhance your analytics and report functions. Hence, significantly increasing your team’s productivity.
The CTMS’s interoperability is also crucial when making your selection. It would be best if the software solution could allow two-integration with other software. For instance, it should show push notifications in your other systems. These notifications are of events happening within the trial software. Such inbound and outbound interface features in a CTMS mean the solution can work well within your organization’s tech ecosystem.
Clinical trials require your organization to follow strict regulations, quality controls, and efficient processes. Therefore, you need software that allows your team to achieve this efficiently and effortlessly. Clinical trial software with the above factors can be your best choice.