Streamline Your Medical Writing Process with Iris.ai Researcher Workspace

Table of Contents

1. Introduction
2. The Growing Demand for Medical Writing
3. Challenges Faced by Medical Writers
4. Introducing Iris.ai Researcher Workspace
5. Modules in Researcher Workspace
   1. Explore
   2. Analyze
   3. Filter
   4. Summarize
   5. Extract
6. Case Study: Finding Clinical Articles on Female Reproductive Senescence
7. Customizing the Researcher Workspace
8. Optimizing Literature Review Process
9. Exporting and Summarizing Findings
10. Benefits of Using Researcher Workspace
11. Conclusion

🩺 The Growing Demand for Medical Writing

In the pharmaceutical and Healthcare market, the demand for medical writing is steadily increasing. These highly skilled professionals play a crucial role in summarizing scientific literature before drawing conclusions. However, medical writing can be mentally demanding, requiring intense concentration and expertise. Furthermore, the pressure of meeting deadlines adds significant stress to the job.

🧠 Challenges Faced by Medical Writers

One of the most time-consuming tasks for medical writers is the literature review process. It can take up to two months to review and analyze scientific articles. With thousands of documents available, filtering through them to find Relevant information is a daunting task. Skimming through extensive reading lists and extracting Meaningful data poses a significant challenge.

💡 Introducing Iris.ai Researcher Workspace

To address these challenges, Iris.ai offers the Researcher Workspace. This tool aims to streamline the entire medical writing workflow, enabling medical writers to expedite their literature review process. The Researcher Workspace consists of five modules: Explore, Analyze, Filter, Summarize, and Extract.

🔍 Modules in Researcher Workspace

1. Explore

The Explore module allows medical writers to search for relevant articles using their problem statements or existing research. It goes beyond traditional keyword searching by understanding the context of the problem.

2. Analyze

Through the Analyze module, medical writers can refine their findings and identify specific concepts and topics. This tool enables users to fine-tune their reading lists by applying filters and choosing relevant concepts for inclusion and exclusion.

3. Filter

The Filter module helps medical writers narrow down their search results by applying context filters. By using more than one WORD to describe the desired outcome, writers can obtain more specific and targeted information.

4. Summarize

The Summarize module allows medical writers to extract abstracts or full-Texts from articles. With just two clicks, users can generate summaries and Deepen their understanding of the topic.

5. Extract

The Extract module enables medical writers to extract data from tables or text within articles and export them to predefined spreadsheets. This tool simplifies the process of gathering information on baseline characteristics, adverse events, and other important data.

📚 Case Study: Finding Clinical Articles on Female Reproductive Senescence

Let's consider Ben, a medical Writer, who needs to find relevant clinical articles on female reproductive senescence. Using PubMed, Ben is presented with a vast number of documents. Even after filtering, he is left with thousands of articles to review. The Researcher Workspace comes to his rescue.

Ben can start by creating a dataset from live databases like PubMed. With the Explore module, he can explore his topic broadly, considering different angles and incorporating his problem statement. The context filter in the Filter module helps Ben refine his findings by using multiple terms to describe his desired outcome. This process ensures that the reading list becomes more granular and specific.

🛠 Customizing the Researcher Workspace

The Researcher Workspace offers flexibility in customization. Users like Ben can combine different modules to best suit their individual processes. The ability to create multiple maps helps users gain a comprehensive understanding of their research topics. By saving filtered datasets as new ones, medical writers can run the Analyze tool repeatedly, obtaining a refined and highly targeted reading list.

⚡️ Optimizing Literature Review Process

Through the Researcher Workspace, medical writers can significantly optimize their literature review process. What used to take weeks of manual searching and sifting through endless reading lists can now be completed in a matter of hours. This time saved can be utilized for writing, reducing the stress and pressure of approaching deadlines.

📑 Exporting and Summarizing Findings

The Researcher Workspace allows users to export their findings into various formats such as EndNote, BibTex, or CSV. Medical writers can easily summarize interesting articles and extract data from tables or text using the dedicated tools available. This enables them to Gather essential information for their research and streamline their writing process.

📊 Benefits of Using Researcher Workspace

• Accelerates the literature review process
• Reduces mental stress and pressure
• Provides a comprehensive understanding of research topics
• Customizable modules tailored to individual processes
• Simplifies the extraction of data from articles
• Optimizes time management and writing

🎯 Conclusion

Medical writing is a demanding field that requires extensive literature review and Data Extraction. Iris.ai Researcher Workspace offers medical writers an efficient and time-saving solution. By utilizing the Explore, Analyze, Filter, Summarize, and Extract modules, medical writers can streamline their workflow, optimize their literature review process, and focus more on their writing tasks. With Researcher Workspace, medical writers can navigate the complex world of medical research effectively.

Highlights

• The demand for medical writing is growing steadily in the pharmaceutical and healthcare market.
• Medical writers face challenges in the literature review process, which can be time-consuming and mentally demanding.
• Iris.ai Researcher Workspace streamlines the entire medical writing workflow.
• The workspace includes five modules: Explore, Analyze, Filter, Summarize, and Extract.
• The modules allow medical writers to search, refine, filter, summarize, and extract information efficiently.
• A case study demonstrates how the Researcher Workspace helps medical writers find relevant clinical articles.
• Customization options and repeated analysis refine and optimize the literature review process.
• The Researcher Workspace improves productivity, reduces stress, and saves time.
• Exporting findings and summarizing articles are easy with the workspace.
• Benefits include accelerated literature review, comprehensive understanding, customization, and optimized time management.

FAQ

Q: Can Researcher Workspace be used for research in fields other than medicine? A: Yes, Researcher Workspace can be adapted to various research fields, providing a customizable solution for literature review and data extraction.

Q: How long does it take to extract data using the Extract module? A: The time taken to extract data using the Extract module depends on the complexity of the article and the amount of information needed. However, the Extract tool significantly speeds up the process compared to manual extraction.

Q: Does Researcher Workspace support collaboration and sharing of findings? A: Yes, the Researcher Workspace allows users to collaborate and share findings with their team members. It provides a centralized platform for efficient collaboration.

Q: Can Researcher Workspace eliminate the need for manual reading and analysis? A: While Researcher Workspace streamlines the literature review process and helps in narrowing down relevant articles, manual reading and analysis are still essential for a comprehensive understanding of the research topic. The workspace complements the human aspect of research rather than replacing it.

Q: Are there any limitations to the Researcher Workspace? A: The Researcher Workspace is designed to optimize the literature review process and assist with data extraction. However, it does not replace the need for critical thinking, domain expertise, and human input in the research process. The workspace is a tool that enhances efficiency and productivity but should be used in conjunction with a researcher's expertise.

Resources

• Iris.ai Researcher Workspace