The clinical trial procedure’s anticipated to be overhauled by a new AI-powered medical coding solution that was just introduced by Clinion, a top provider of eClinical solutions. Clinical trials must include medical coding because it permits correct collection and analysis of medical data by researchers. Yet, medical coding can be time-consuming, expensive, and prone to mistakes, which frequently causes delays in the clinical trial process.
AI Medical Coding: How It Works
The AI Medical Coding system from Clinion automates medical coding by analyzing medical data and assigning the proper medical codes using cutting-edge machine learning algorithms. The approach greatly lowers the time and effort needed for manual coding and gives clinical trial teams real-time feedback, enabling them to act more rapidly and effectively on data-driven decisions.
Benefits of AI Medical Coding
Clinion’s medical coding system enables clinical trial groups to provide high-quality results and new perspectives more quickly than ever before thanks to increased efficiency and precision. The approach provides a quicker, more effective, and more precise way to code medical data, thereby speeding up the development of new drugs and their introduction to patients.
The introduction of AI Medical Coding is fantastic news, emphasizes Clinion CEO Manuj Vangipurapu, as it has the potential to revolutionize the clinical trial process. According to Vangipurapu, the potential of AI can give clinical trial teams a quicker, more effective, and more accurate way to code medical data, enabling clients to make data-driven decisions more rapidly and successfully.
Clinion’s Suite of eClinical Solutions
Clinion’s medical coding solution is the latest addition to its suite of eClinical solutions, which include EDC, RTSM, eCOA, CTMS and Document Automation. Clinion is the go-to partner for businesses looking to expedite their clinical trial process and bring novel therapies to market more quickly thanks to the more than 500 clinical trials that have been successfully completed using its technologies.
Clinion EDC: The Freedom and Flexibility to Build Studies On Your Own
With Clinion EDC, you may quickly deploy your study thanks to a Global Library that doesn’t require programming and facilitates straightforward setup in days rather than weeks. The EDC solution from Clinion employs artificial intelligence (AI) and automation to make study creation, data collection, and clinical data management (CDM) easier. Clinion provides convenience for its users with cutting-edge capabilities like Medical Coding Automation, External Data Import, Visit Scheduling, Bulk locking, and CRF versioning as part of a basic package. Clinion EDC is an easy-to-use application that makes clinical data management straightforward and reduces the time needed to set up studies, take data, process it, and integrate it. With this AI-enabled EDC solution, users can easily create and manage studies on their own.
Clinion RTSM: Simplify Patient Randomization and Optimize Trial Supply Management
The Clinion RTSM Software’s Randomization module, which is fully integrated with Inventory feature, an integrated inventory management software covering end-to-end clinical trial supply management logistics, enables you to implement simple to complex randomization strategies in accordance with protocol specifications. Users of the site can execute Randomization and drug allotment, including returns and re-allotment, using Clinion’s one of the most completely integrated EDC/RTSM platforms available in the market, all without having to log into two different systems or worry about consistency. Clinion RTSM (Randomization and Trial Supply Management) Software can be fully configured, validated, and trial-ready in 2-3 days when deployed as a standalone system or as an integrated system. Use Clinion’s reasonable and dependable pricing structure to lower the overall cost of RTSM ownership without compromising on functionality or quality.
Clinion eCOA: Decentralize Clinical Trials and Improve Patient Engagement and Adherence
Clinion eCOA enables study participants to report their health using their own smartphones while relaxing at home, enabling clinicians to keep an eye on patients in real-time. Using a Clinion eCOA’s digital diary to record patient symptoms and outcomes results in patient data that is higher quality because it is straight from the source, negating the requirement for source data verification. As Clinion eCOA and Clinion EDC are fully connected, study participants can immediately submit daily outcomes, preventing data duplication and transcription mistakes and giving clinicians a real-time view of patient progress. eCOA’s decentralized structure enables quicker and more extensive patient recruitment.
Clinion CTMS: An Integrated Solution to Plan, Manage and Track All Your Studies
Trial expenses can be considerably decreased by using customized workflows, pre-set processes, real-time progress reporting, automated alarms, real-time monitoring, and holistic visibility. The integrated clinical trial management platform called Clinion CTMS gives users real-time visibility across the research spectrum, enabling them to make course corrections and interventions in real-time, speeding up study durations. Clinical trial planning, design, site selection, patient recruitment, data collection, monitoring, telemonitoring, drug distribution, supply chain management, and data management are all more visible thanks to the real-time integration of Clinion CTMS.
Document Automation: Using AI to Automate Study & Submission Documentation
Use machine learning to create protocol and CSR papers that adhere to ICH rules. Using Clinion’s Document Automation, less reviews are necessary because the software creates structured documents with 60–70% fewer errors and modifications. Medical writers can save a ton of time by automating this significant percentage of study and submission documentation, which can be generated in only a few minutes. Reduce costs and boost productivity by automating the creation of study and submission documents with Clinion’s Document Automation.
AI Medical Coding: Future Proof Your Medical Coding Team
ClinionAI automates the coding of Adverse Events and Concomitant Medicines using Deep Learning natural language processing (NLP) models. For medical context learning, the AI Medical Coding system has been developed using machine learning models on millions of biomedical phrases. The model includes encoded and integrated MedDRA dictionaries. The ML Algorithm uses phrases from the MedDRA lexicon to match adverse event terms entered into Clinion EDC, and the findings are given with corresponding confidence values.
Onward with eClinical
The clinical trial process will be transformed by Clinion’s AI-powered medical coding system since it provides a quicker, more effective, and more precise way to code medical data. Clinical trial teams can now offer high-quality results and insights more quickly than ever because to improvements in accuracy and speed. Companies looking to streamline their clinical trial process and hasten the introduction of novel medications to market should strongly consider Clinion’s array of eClinical solutions.
For more information on Clinion’s new AI-powered medical coding solution, please visit clinion.com/ai-medical-coding.
About Clinion
Clinion is a life sciences technology company offering innovative software solutions in the pharmaceutical industry since 2010. The company’s first product, also called Clinion, is an integrated eClinical trial platform for small and medium CROs, academic research organizations and pharmaceutical companies.
Located in Hyderabad, India, Clinion’s team is led by pharmaceutical industry veterans and supported by clinical research experts and enterprise software engineers. Clinion’s team have more than 30 people working across departments including product development, research, software engineering, product development, sales, QA and technical support.
For more information, please visit www.clinion.com.
More on Medical Coding and AI
Learn more about medical coding and the implementation of artificial intelligence to this process in this PharmaFEATURES article: Clinical Trial Success Rate Skyrockets with ML Medical Coding.
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