Workflow automation uses rule-based logic to remove manual work and automate complex and less-structured clinical trial processes. By leveraging self-operating processes that run manual tasks, workflow automation helps your clinical operation save time and money, diminish errors, and boost productivity. Users create workflows using Zapclinica built-in applications in a few clicks and a simple interface — no code required.
Manual workflows can easily disrupt or slow operations. Lack of transparency and dependencies on employees leave clinical trials vulnerable to a variety of bottlenecks that create inefficiencies. Lack of transparency and dependencies on employees leave clinical trials vulnerable to a variety of bottlenecks that create inefficiencies. Automating workflows safeguards against potential barriers and empowers professionals to participate in the design process directly.
The pressure is on. As life science companies seeking to reach faster go to market on their treatment, clinical trials become more challenging and require running and coordinating complex processes Forward-looking life sciences companies use automation as their core strengths, supplement their weaknesses and empower their people to focus on what’s important. Automation enables your entire organization to be always-on, removes manual workflows, accelerates timelines, reduces costs and increases adherence to compliance and regulation
Start with a specific task, and then scale up to the entire clinical trial lifecycle, including initiation, monitoring, quality assurance, and submission to regulatory authorities. Enable a few expert employees to create accurate models. Measure, in real-time, the value of human and automated work across your clinical trial. Learn from past decisions, simulations, or real-time data to improve the accuracy of your decisions.
Every task can be streamlined in a configurable workflow . The user specifies the deadline, the requirement, and the dependencies.The system understands every aspect of the trial and its complexity.
The system understands the dependency and the timelines of every task. If a manager needs to adapt the trial , all the changes will trigger the necessary tasks ( requirements - review - validation ) to authorize the change in the most efficient way.
Make it easy to expedite the planning process and monitor the trial in real time. Because the system will streamline every operational activity in a clinical trial, managers will have access to advanced mechanisms to monitor, organize and optimize the workflow.
Less time-wasting means less money spent on data collection and team management. Managers are more productive and can focus on critical tasks.
Fewer papers, fewer emails, and less time-wasting when managing or requesting statuses. Seamlessly blend structured and unstructured processes into a smooth, repetitive workflow.
Every user can see what they need to do : When they are done the system validates their actions and passes on to the next person. So, it's no longer necessary to run after people to request important information or get things acknowledged.
Design process that complies with the regulations. Integrated Q/A prevents users from deviating from the protocols and increases adherence to regulations. The history of actions and events becomes auditable and verifiable.
Our editor was made for do-it-yourself automation. No developers are required to configure your workflows.
An automation trigger is an initial input that kicks off the activation of an automated workflow. In a sense, an automation trigger is, quite literally, the first step in automation.
An action is an event a workflow performs after it is triggered. An action can use any of the Zapclinica applications.
We have just removed our first manual process and created s iterative automated workflow that improve the speed of operation.
Zapclinica helps you managing your clinical trial, reduces the time to market, the cost, and the burden to run a successful clinical trial by operationally streamlining every task in an all-in-one platform.