Background
A leading provider of diagnostic imaging services in the United States reached out to Zazmic to incorporate AI into radiology. With a vast network of outpatient imaging centers, a diagnostic imaging company is committed to enhancing patient care through cutting-edge technology.
Challenges
The company recognized the potential of AI to transform radiology but faced challenges in leveraging its extensive patient data to develop and deploy AI models. They needed a partner with expertise in AI/ML, natural language processing, and healthcare to help them build and implement these solutions.
Their goals included:
- Improving radiologist efficiency by automating tasks
- Enhancing accuracy and consistency to minimize errors and variability in reporting.
- Developing innovative AI solutions for tasks like multi-modal search and speech recognition.
- Building a robust data pipeline to collect, process, and utilize patient data for AI development.
- Incorporating the AI findings to the workflow to streamline and speed up the reporting.
Solutions
Zazmic collaborated with the client to develop a suite of AI-powered solutions tailored to their specific needs and challenges:
Auto Impression
This AI-powered tool was designed to automatically generate concise and accurate impressions from radiology reports, summarizing key findings for referring physicians and patients. By leveraging large language models (LLMs) like Gemini, Auto Impression mimics the expertise of seasoned radiologists, ensuring reports are clear, consistent, and readily actionable.
Auto Clinical History for Radiologists
Auto clinical history streamlines the process of compiling comprehensive patient histories by integrating data from various sources, including prior reports, clinical notes, and lab results. LLMs analyze and synthesize this information, generating coherent and contextually accurate clinical summaries, saving radiologists valuable time, and enhancing diagnostic accuracy.
AI Multi-Modal Search
This tool empowers radiologists with comprehensive search capabilities across diverse data types, including images, reports, and patient history. It enables efficient identification of cancer outcomes, cohort searches for similar patient conditions, and image comparisons for precise diagnosis and treatment planning.
Enhanced Speech Dictation
Custom-trained LLM to provide accurate and contextually relevant transcriptions of radiologists’ dictations. Its advanced understanding of medical terminology and real-time transcription capabilities enhance reporting efficiency and accuracy.
AI Proofreader for Radiology Reports
Now, AI can cross-reference new reports with prior data, flagging potential errors and inconsistencies to ensure the highest level of accuracy and reliability in radiology documentation.
Auto Speech Organization
This solution intelligently organizes and structures speech input into clear and concise findings sections for radiology reports, enhancing readability and comprehension.
Results
By implementing Zazmic’s AI-powered solutions, the radiology service provider experienced significant improvements in its radiology workflow:
- Increased Radiologist Productivity: Automating time-consuming tasks allowed radiologists to focus on patient care and complex cases.
- Enhanced Report Accuracy: AI-powered tools minimize errors and ensure consistent, high-quality reporting.
- Improved Diagnostic Accuracy: Comprehensive clinical histories and multi-modal search capabilities support more informed clinical decisions.
- Streamlined Workflow: Automated solutions optimize the reporting process, from dictation to proofreading.
- Innovation Leadership: The company establishes itself as a leader in AI-driven radiology, enhancing its competitive advantage.
Ready to transform your radiology practice with AI?
Zazmic has the expertise and experience to help you develop and implement cutting-edge AI solutions tailored to your unique needs. Contact us today to explore how we can collaborate and revolutionize your radiology workflow.
