A system for real-time image analysis and workflow optimization in pathology laboratories

Abstract

A system for real-time image analysis and workflow optimization in pathology laboratories, which includes the following: a slide digitization unit configured to capture high-resolution images of pathology slides; an image analysis module that is integrated with artificial intelligence (AI) algorithms and configured to detect and classify pathological features from the digitized images; a workflow management module configured to automate case prioritization, resource allocation, and reporting; a user interface that allows pathologists to review, validate, and annotate AI-generated findings; and a data integration unit configured for seamless communication with laboratory information systems (LIS) and electronic medical records (EMR).

Description

[0001] The present invention relates to medical imaging and workflow management in the laboratory. More specifically, it concerns a system that utilizes real-time image analysis, artificial intelligence, and workflow optimization to improve the accuracy, speed, and efficiency of diagnostic procedures in pathology laboratories.

[0002] Pathology laboratories are critical to medical diagnosis, providing essential insights for the detection, staging, and treatment of disease. Traditional workflows rely heavily on manual processes, including slide preparation, staining, and microscopic examination by trained pathologists. While effective in experienced hands, these methods are time-consuming, error-prone, and often fall short of the growing demand for rapid and accurate results. Even with advances in digital pathology systems that enable the digitization of slides for easier sharing and review, the diagnostic process remains largely manual, requiring significant human intervention.This reliance on manual interpretation leads to inconsistencies and variability between observers, especially in complex cases, and increases the likelihood that subtle anomalies will be missed.

[0003] Furthermore, traditional systems suffer from inefficiencies and bottlenecks, particularly in busy laboratories where pathologists face a high workload, leading to delays in reporting. These systems cannot easily scale to meet increased demands during emergencies, such as pandemics, or in resource-limited environments, such as rural laboratories. Furthermore, the lack of integration between diagnostic tools and laboratory workflows results in disjointed processes without automated mechanisms to prioritize urgent cases or optimize resource allocation. Errors in manual data entry, incorrect slide labeling, and report generation further compromise the reliability of traditional methods.

[0004] Although digital pathology systems represent a step forward, they are limited in their analytical capabilities and rarely incorporate advanced technologies such as artificial intelligence (AI) for detecting pathological features. Furthermore, they often operate in silos and do not integrate seamlessly with laboratory information systems (LIS) or electronic medical records (EMR), leading to inefficient data management. Another challenge is quality control in these systems, which relies on regular manual reviews that can overlook systemic issues. These limitations underscore the urgent need for a comprehensive, AI-powered system that can automate diagnostic tasks, improve accuracy, and streamline laboratory workflows to ensure faster and more reliable results for patients and healthcare providers alike.

[0005] To solve this problem, the present invention provides a system and method for real-time image analysis and workflow optimization in pathology laboratories.

[0006] The system and method for real-time image analysis and workflow optimization in pathology laboratories, capable of detecting and classifying pathological features with high precision, minimizing human error and inter-observer variability.

[0007] The system and method for real-time image analysis and workflow optimization in pathology laboratories that automates repetitive tasks such as slide scanning, image analysis, and report generation to reduce manual intervention and improve operational efficiency.

[0008] System and method for real-time image analysis and workflow optimization in pathology laboratories, implementing real-time processing and automated case prioritization to ensure faster diagnosis, especially for critical and urgent cases.

[0009] The system and method for real-time image analysis and workflow optimization in pathology laboratories, ensuring compatibility with laboratory information systems (LIS) and electronic medical records (EMR) for streamlined data flow and centralized reporting.

[0010] The system and method for real-time image analysis and workflow optimization in pathology laboratories, providing an intuitive interface for pathologists to review, validate, and provide feedback on AI-generated findings, thereby increasing user confidence and system adaptability.

[0011] The system and method for real-time image analysis and workflow optimization in pathology laboratories, capable of handling diverse workloads from small clinics to high-volume laboratories, and incorporating future advances in pathology.

[0012] The system and method for real-time image analysis and workflow optimization in pathology laboratories that implement robust security measures and ensure compliance with healthcare regulations to protect sensitive patient information and maintain data integrity.

[0013] The system and method for real-time image analysis and workflow optimization in pathology laboratories, incorporating mechanisms for learning from pathologist feedback to continuously refine AI algorithms and improve diagnostic performance over time.

[0014] The system and method for real-time image analysis and workflow optimization in pathology laboratories, enabling remote access to digital slides and diagnostic reports to facilitate collaborative reviews and consultations between pathologists and clinicians worldwide.

[0015] The system and method for real-time image analysis and workflow optimization in pathology laboratories that dynamically prioritize and allocate resources to maximize efficiency, minimize delays, and reduce operating costs.

[0016] In one embodiment, a system and method for real-time image analysis and workflow optimization in pathology laboratories are provided. The system for real-time image analysis and workflow optimization in pathology laboratories is designed to overcome the limitations of conventional methods. Traditional pathology workflows, which rely on the manual examination and interpretation of slides, are time-consuming, error-prone, and difficult to meet the increasing demand for accurate and timely diagnoses. Even with advances in digital pathology, the lack of automation and integration limits operational efficiency and diagnostic consistency.The system offers a comprehensive solution by leveraging artificial intelligence (AI) and advanced imaging technologies for automated slide analysis, precise detection of pathological features, and seamless integration with laboratory information systems (LIS) and electronic medical records (EMR). The system improves diagnostic accuracy, minimizes human error, and supports case prioritization to ensure faster turnaround times.

[0017] Additionally, it offers a user-friendly interface for pathologists, a scalable architecture for laboratories of varying sizes, and robust data security measures to protect sensitive patient data. By streamlining workflows and automating key processes, the system reduces manual intervention, optimizes resource utilization, and enables remote collaboration, making it particularly valuable for high-volume or resource-constrained laboratories. This invention represents a significant advance in pathology, ensuring improved diagnostic outcomes and operational efficiency while supporting the evolving needs of modern healthcare.

[0018] The invention is explained again below with reference to the figure. It shows: Fig. : shows a system and method for real-time image analysis and workflow optimization in pathology laboratories.

[0019] Fig.shows a system and method for real-time image analysis and workflow optimization in pathology laboratories according to an embodiment of the present invention. The system for real-time image analysis and workflow optimization in pathology laboratories includes a slide digitizer, an image analysis module, a workflow management module, a user interface, and a data integration unit. The slide digitizer is configured to capture high-resolution images of pathology slides. The image analysis module is integrated with artificial intelligence (AI) algorithms to detect and classify pathological features on the digitized images. The workflow management module is configured to automate case prioritization, resource allocation, and report generation.The user interface is designed to allow pathologists to review, validate, and annotate AI-generated findings. The data integration unit enables seamless communication with laboratory information systems (LIS) and electronic medical records (EMR). The image analysis module includes a feature extraction unit for identifying morphological and structural abnormalities in tissue samples, a pattern recognition algorithm for classifying pathological conditions, and a feedback mechanism for continuously learning and improving the AI ​​algorithms based on pathologist input. The workflow management module is configured to prioritize urgent cases based on predefined clinical criteria, automate the scheduling and assignment of cases to pathologists, and generate comprehensive diagnostic reports that integrate AI findings and user input.The user interface includes a visualization tool that allows pathologists to view and interact with digital slide images, an annotation feature for highlighting areas of interest or discrepancies, and a dashboard for tracking case status, turnaround times, and diagnostic trends. The data integration unit is configured to retrieve patient data and clinical histories from LIS or EMR for contextual analysis, store diagnostic findings and reports in a central database, and ensure compliance with healthcare data security standards, including encryption and access control. The remote access module facilitates collaboration and consultations between pathologists and clinicians at different locations.The slide digitization unit features high-speed scanners that enable batch processing of slides, as well as automated quality control mechanisms that ensure consistent image resolution and clarity. The alarm unit is configured to notify pathologists or clinicians of critical findings or abnormalities that require immediate attention. The workflow management module is adaptable and supports scalability to handle varying workloads in laboratories of different sizes. The data analysis module provides insights into diagnostic performance, laboratory efficiency, and trends in pathology findings. The image analysis module is capable of analyzing multimodal inputs, including histopathology, cytology, and immunohistochemistry slides.The user interface is accessible across multiple devices, including desktop computers, tablets, and smartphones, allowing both remote and on-site operation. The training module simulates pathology case studies for training and professional development. The entire system is hosted on a secure cloud-based platform to enable real-time data sharing and scalability. Multilingual support facilitates deployment in global pathology laboratories with diverse language requirements. List of reference symbols 100 systems

Claims

[1] A system for real-time image analysis and workflow optimization in pathology laboratories, comprising: a slide digitizing unit configured to capture high-resolution images of pathology slides; an image analysis module integrated with artificial intelligence (AI) algorithms and configured to detect and classify pathological features from the digitized images; a workflow management module configured to automate case prioritization, resource allocation, and reporting; a user interface that enables pathologists to review, validate, and annotate AI-generated findings; and a data integration unit configured for seamless communication with laboratory information systems (LIS) and electronic medical records (EMR). [2] The system of claim 1, wherein the image analysis module comprises a feature extraction unit for identifying morphological and structural abnormalities in tissue samples, a pattern recognition algorithm for classifying pathological conditions, and a feedback mechanism for continuously learning and improving the AI ​​algorithms based on the pathologist's inputs. [3] The system of claim 1, wherein the workflow management module is configured to prioritize urgent cases based on predefined clinical criteria, automate the scheduling and assignment of cases to pathologists, and generate comprehensive diagnostic reports that integrate AI results and user input. [4] The system of claim 1, wherein the user interface includes a visualization tool for pathologists to view and interact with digital slide images, an annotation function to highlight areas of interest or discrepancies, and a dashboard to track case status, turnaround times, and diagnostic trends. [5] The system of claim 1, wherein the data integration unit is configured to retrieve patient data and clinical history from the LIS or EMR for contextual analysis, store diagnostic findings and reports in a central database, and ensure compliance with healthcare data security standards, including encryption and access controls. [6] The system of claim 1 further comprises a remote access module to facilitate collaboration and consultations between pathologists and clinicians at different locations. [7] The system of claim 1, wherein the slide digitizing unit uses high-speed scanners capable of batch processing of slides and automatic quality control mechanisms to ensure consistent image resolution and clarity. [8] The system of claim 1 further comprises an alert unit configured to inform pathologists or clinicians of critical findings or abnormalities requiring immediate attention. [9] The system of claim 1, wherein the workflow management module is adaptable to support scalability to handle different workloads in laboratories of different sizes. [10] The system of claim 1, further comprising a data analysis module to gain insights into diagnostic performance, laboratory efficiency, and trends in pathology findings.

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