Alternatives to mPower Clinical Analytics

Improve radiology reporting efficiency and report quality with Imorgon's reporting automation. As the top DICOM SR software for radiology, our solution significantly reduces unnecessary dictation by precisely transferring ultrasound and DEXA modality measurements into Powerscribe, Fluency, or RadAI. This eliminates manual errors and significantly accelerates the generation of reports. Imorgon's unique advantages include: - guaranteed transfer of all measurements - usually DICOM SR - electronic worksheets for direct report population (eliminating dictation from notes) - worksheets with priors, calculators, and clinical decision support (TI-RADS, O-RADS, etc) - integration with Epic and other EHRs. - vendor-neutral Our dedicated support team ensures uninterrupted workflow. Invest in Imorgon for a quick and substantial return on investment, transforming your reporting overhead into a streamlined, high-quality operation.

PowerScribe One represents an advanced radiology reporting solution that utilizes artificial intelligence to enhance both diagnostic precision and workflow productivity. By leveraging Microsoft Cloud for Healthcare, this platform automates key elements of the radiology reporting process, such as creating initial impressions and providing immediate clinical insights. Its innovative features, which include Smart Impression and AI-driven findings, empower radiologists to generate comprehensive reports more swiftly and with reduced mistakes. Additionally, PowerScribe One facilitates smooth connectivity with electronic medical records (EMR) and incorporates cloud-based speech recognition technology, leading to more accurate documentation. This combination not only streamlines the reporting process but also significantly contributes to better patient care and outcomes. Ultimately, the integration of these technologies positions PowerScribe One as a vital tool for modern radiology practices.

Zebra's Imaging Analytics Engine processes imaging scans from multiple modalities and conducts automatic analyses of various clinical findings, ensuring efficiency and seamless integration with the radiology workflow. Healthcare providers rely on Zebra-Med to notify them about patients who are at elevated risk for cardiovascular, pulmonary, skeletal, and other health issues. This system enhances preventative care initiatives, supports accurate risk adjustments, and aids in meeting quality benchmarks like MACRA. By utilizing Zebra-Med, healthcare professionals can concentrate their efforts on the most vulnerable patients at critical moments, ultimately leading to reduced expenses and enhanced patient care outcomes. Consequently, this innovative approach not only improves the quality of care provided but also optimizes resource allocation across the healthcare system.

InformAI specializes in artificial intelligence solutions designed to enhance medical diagnostics at the point-of-care and boost the efficiency of radiologists. Our advanced AI-driven image classifiers and predictions related to patient outcomes are developed in collaboration with the Texas Medical Center, which is the largest medical center complex globally. Through partnerships with esteemed healthcare organizations, prominent physician associations, and top medical imaging firms, InformAI is revolutionizing healthcare delivery. Our team is made up of experts in the fields of healthcare, medicine, and artificial intelligence, working together to create innovations that lead to better patient results. One of our notable products, the InformAI Sinus Image Classifier, utilizes a 3D convolutional neural network (CNN) and is trained on a comprehensive library of 6 million radiology-validated 3D CT-scan images, showcasing our commitment to leveraging cutting-edge technology in the medical field. This approach not only enhances diagnostic accuracy but also contributes to more timely and effective patient care.

Fluency for Imaging is a speech-driven radiology reporting solution designed to improve efficiency, accuracy, and workflow automation in medical imaging environments. Developed by Jacobian, the platform integrates advanced speech recognition technology with AI-assisted reporting tools to support radiologists in generating high-quality diagnostic reports. Radiologists can dictate findings naturally while the system automatically structures the information into standardized report formats. Fluency for Imaging also supports the transfer of measurement data and AI findings directly from PACS systems into the report, eliminating manual data entry and reducing the risk of transcription errors. Built-in guideline support provides classification and scoring assistance using frameworks such as BI-RADS, PI-RADS, and TNM. The platform incorporates intelligent nudging and real-time feedback to help maintain report accuracy and compliance with clinical standards. Fluency for Imaging also supports ontology-based coding using standards such as RadLex, SNOMED CT, and ICD-10, enabling structured reporting and improved interoperability with hospital systems. With multimedia reporting capabilities, radiologists can include annotated images, tables, and visual elements directly within reports to enhance clarity and communication. By combining AI automation, structured reporting, and seamless system integration, Fluency for Imaging helps healthcare organizations streamline radiology workflows and improve diagnostic reporting quality.

Clinicians can view a complete medical image history, including DICOM and non-DICOM, from a radiology PACS or VNA. This includes dermatology, surgery and radiation oncology. NilRead is a full diagnostic viewer that has FDA 510(k), CE marking and CE clearance. It can be used for diagnostic viewing of mammography, digital breast tomosynthesis, and 3D rendering to curvilinear reformatting. NilRead's visualization toolsets and features provide comprehensive reading workflows to specialty readers and radiologist. Functionality includes rules-based protocols and user permissions. Multi-monitor viewing is possible. Cross-enterprise image communication and sharing tools enable physician collaboration, remote diagnosis and second opinions. This allows users to share secure study links with colleagues and peers for real-time interactive collaboration.

Syngo Carbon is a future-ready enterprise imaging platform that transforms how healthcare organizations manage and interpret patient data. By unifying imaging, reporting, and clinical information into a single system, it replaces fragmented IT environments with one cohesive solution. AI-driven insights, advanced visualization, and a powerful diagnostic cockpit help clinicians uncover blind spots and connect critical data points. Syngo Carbon supports scalable deployment, allowing organizations to start at the departmental level and expand enterprise-wide as needs evolve. Its modular architecture and unified interface reduce adoption time while improving interoperability across care pathways. With comprehensive data integration, Syngo Carbon enables more informed decision-making anytime and anywhere. This patient-centric approach strengthens collaboration and elevates the standard of care.

RedBrick AI serves as a rapidly collaborative platform for annotating medical data, specifically designed to assist healthcare AI teams in creating high-quality training datasets across various types of radiological imagery, including CT, MRI, X-ray, Ultrasound, Fluoroscopy, and additional standard imaging techniques. The platform is adept at managing intricate tasks such as multi-series annotation and extensive DICOM studies, thanks to its native compatibility with medical data formats including DICOM and NIfTI. Furthermore, it boasts cutting-edge, user-friendly 2D and 3D web-based annotation tools, complemented by a PACS-like viewer. RedBrick AI supports a wide array of annotation use cases, including instance and semantic segmentation, landmark identification, classification, and ROI measurements, thereby enhancing the speed of annotation processes by as much as 60%. This significant improvement in efficiency can empower healthcare professionals to focus more on patient care rather than on time-consuming data preparation tasks.

Combine and liberate your disorganized health information through an interactive AI and NLP solution that provides valuable health insights for various stakeholders. This innovative technology serves Providers by hastening the data abstraction process and ensuring the clinical information validation found within notes, thus minimizing the time and costs associated with identifying care gaps, assessing the quality of care through dashboards, and producing registry reports. For Payers, it facilitates the integration and analysis of claims alongside clinical notes, enhancing the management of high-risk and high-cost member populations. In the realm of Life Sciences, this solution enables swift patient matching to clinical trials using databases alongside clinical note data, maximizing the potential of real-world clinical evidence. Ember offers a comprehensive approach that merges NLP with predictive analytics, streamlining healthcare analytics for unstructured data to boost quality, efficiency, and outcomes in the healthcare system. As a result, stakeholders can make informed decisions that lead to improved patient care and resource allocation.

PICOM365 serves as a cloud-based platform for medical imaging, PACS (Picture Archiving and Communication System), and enterprise imaging, enabling healthcare organizations to efficiently store, manage, view, report, and share diagnostic images along with associated clinical data across various specialties and locations, offering secure and scalable access from anywhere at any time. Designed specifically for cloud deployment, with hybrid capabilities, this system effectively consolidates DICOM and non-DICOM imaging workflows within a single platform, thereby eliminating data silos and allowing clinicians to easily access comprehensive patient imaging histories, previous reports, and structured data through a web interface that requires no downloads. Supporting a wide range of imaging disciplines such as radiology, cardiology, vascular care, women's health, and ophthalmology, PICOM365 also integrates effortlessly with EHRs, artificial intelligence tools, analytics, and other third-party systems, thereby enhancing both diagnostic efficiency and clinical collaboration. With its innovative approach, PICOM365 is redefining the way healthcare professionals interact with medical imaging, ultimately leading to improved patient outcomes and streamlined workflows across the healthcare continuum.

BrainSightAI is an innovative health technology firm that harnesses the power of artificial intelligence and machine learning to transform the field of brain mapping through AI-driven connectomics, allowing for the creation of customized brain maps. The VoxelBox product line employs these AI techniques to produce individualized brain maps tailored to each patient's needs. These advanced tools are specifically designed to facilitate pre-surgical preparation and enhance patient outcomes for those suffering from brain tumors and various neurological issues. Collaborating with top hospitals across the country, BrainSightAI is engaged in clinical trials that explore a range of brain-related ailments such as Alzheimer's disease, brain tumors, psychiatric disorders, Parkinson's disease, and stroke. Committed to pushing the boundaries of brain science, our overarching goal is to improve quality of life by offering state-of-the-art resources that deepen our understanding of the human brain and its complexities. By continually refining our technology and methodologies, we aspire to make significant contributions to the medical community and the lives of patients.

Tempus AI, a prominent health technology firm based in Chicago, Illinois, is dedicated to transforming patient care through advanced artificial intelligence and precision medicine. By utilizing data and AI, the company strives to create personalized treatment plans across a range of medical specialties, such as oncology, cardiology, radiology, and mental health. Their all-encompassing platform combines genomic sequencing, clinical data, and AI-powered analytics, equipping healthcare providers and researchers with actionable insights. Tempus offers a holistic understanding of patients via various testing methods, including tissue and liquid biopsies, DNA and RNA sequencing, somatic and germline tests, as well as tumor-normal matched profiling and minimal residual disease monitoring options. Additionally, they provide a swift and dependable platform for ordering tests, gaining patient insights, and seamlessly integrating AI-driven technologies into practice. Furthermore, Tempus features an innovative generative AI-enabled clinical assistant that places patient insights readily at your fingertips, enhancing the overall efficiency of healthcare delivery. This commitment to leveraging cutting-edge technology exemplifies Tempus AI's mission to improve health outcomes and advance medical research.

Qure.ai's qLC-Suite is a cutting-edge AI-driven tool aimed at improving the early identification and management of lung nodules, which is crucial for prompt lung cancer intervention. This solution delivers accurate measurements, thorough characterization, and 3D imaging of lung nodules, ensuring that opportunities for early treatment are not overlooked. It is capable of supporting both incidental and targeted screenings by efficiently identifying nodules and calculating their volume with just one click. Moreover, the system monitors volumetric changes over time, providing valuable insights into nodule development. The qLC-Suite is designed to integrate smoothly into current workflows, offering quick analysis and reporting that assist healthcare professionals in their decision-making processes. In addition to its analytical capabilities, it serves as a comprehensive platform for managing lung nodules, facilitating care coordination through intelligent prompts, providing hardware-agnostic image viewing for AI-enhanced chest X-rays and CT scans, enabling seamless sharing of scans across departments, and allowing for tailored notifications for cases of concern. Overall, qLC-Suite represents a significant advancement in lung cancer care, promoting timely interventions that can ultimately save lives.

Implement comprehensive clinical decision support across your entire organization. Enhance your PACS and EMR systems to streamline imaging processes and boost patient care quality. We recognize that you manage diverse types of images from various sources, and your patients deserve optimal care. While sometimes a single solution may suffice, achieving an enterprise-wide AI-powered imaging analysis is possible with a contemporary technology framework and an intuitive user interface tailored for all physicians. Whether it's for radiology assessments, procedural planning, or consultations at the point of care, users can utilize a complete range of clinical resources through a robust advanced UI or a straightforward web-based interface. TeraRecon is capable of handling multiple imaging modalities and can support up to 40 concurrent users engaged in sophisticated image processing from one virtual server, whereas competitors typically struggle to accommodate many modalities or users without requiring additional servers. This scalability and flexibility position TeraRecon as a leader in the field of imaging solutions.

Altris AI is an advanced, cloud-based clinical decision support system powered by artificial intelligence, specifically tailored to aid eye care professionals in interpreting OCT scans and making informed decisions. The platform streamlines the identification of pathological OCT scans while recognizing over 70 retina-related pathologies and biomarkers, which include some that are quite uncommon. Features of the system encompass severity detection, analysis of retina layer thickness, layer segmentation, and both automatic and manual measurement capabilities. It is designed to work seamlessly with all OCT devices and accommodates various data formats like DICOM, JPEG, and PNG. Furthermore, Altris AI has received FDA clearance, CE certification, and is compliant with GDPR and HIPAA regulations, thereby upholding rigorous standards for data security and patient confidentiality. By integrating this innovative tool into their practices, eye care professionals can significantly enhance patient triage, improve diagnostic precision, and more effectively track the progression of diseases over time. As a result, the adoption of Altris AI not only streamlines workflows but also elevates the overall quality of patient care in eye health.

Pulse is a cloud-based solution designed for echocardiography labs aiming to enhance efficiency and patient outcomes. This platform facilitates reporting, storage, and analysis of echocardiograms, ensuring that you can access patient information whenever and wherever it's needed. Physicians benefit from the ability to review studies and finalize reports from virtually any location, making it an essential tool for contemporary echocardiography practices. With a user-friendly and robust reporting interface conveniently located alongside images and measurements, Pulse empowers users to navigate their tasks seamlessly. Its AI-driven features allow for fully automated measurements of GLS, LVEF, LVEDV, and LVESV, eliminating the need for manual input. Furthermore, the platform minimizes security risks while maximizing the advantages associated with cloud-native technology. Reports can be sent directly to your electronic health record (EHR) via HL7, effectively streamlining clinical workflows. You can easily store new studies right from the cart or retrieve existing studies from an external PACS. Moreover, integrated support for DICOM-TLS simplifies the management of secure data access, sparing users from the complexities of VPN setups. Overall, Pulse is revolutionizing the way echocardiography labs operate by combining technology with clinical expertise.

Feather is a medical AI chat platform that complies with HIPAA regulations, tailored for healthcare professionals to manage sensitive patient information securely while enhancing operational efficiency. Its offerings include AI-driven clinical transcription, DICOM image analysis for various medical imaging modalities, and the automatic creation of SOAP and BIRP clinical notes, all supported by secure cloud storage for confidential medical records. Key Features - An interactive AI chat interface that allows seamless engagement with patient records, laboratory results, and clinical documentation within a unified workspace. - Assurance of HIPAA compliance in the secure management of protected health information (PHI) through encrypted cloud storage solutions for medical data. - Automation of clinical documentation processes via AI, generating SOAP and BIRP notes from live interactions to reduce administrative burdens. - Advanced AI capabilities for analyzing medical images such as MRI, CT scans, X-rays, and ultrasounds, enhancing diagnostic precision. - Facilitation of summarization and critical analysis of various medical reports, including laboratory, radiology, and pathology findings, to support informed decision-making. - The platform ultimately aims to enhance the efficiency and safety of healthcare delivery through innovative technological integration.

InsiteOne serves as a holistic platform for enterprise imaging, integrating medical imaging, data oversight, and diagnostic processes into a single, cloud-capable solution. The platform features a vendor-independent archive designed to hold imaging and clinical information across various departments such as radiology, cardiology, and pathology, while adhering to standards like DICOM, FHIR, and IHE to ensure smooth interoperability. It can be utilized in various deployment models, including on-premises, public or private cloud, or hybrid environments, facilitating centralized data storage, automated lifecycle management, enriched metadata, and robust encrypted data protection along with geographically diverse disaster recovery options, thereby safeguarding an immense volume of clinical images and patient information. In addition to its storage capabilities, InsiteOne enhances enterprise imaging accessibility by allowing clinicians to view diagnostic images through a zero-footprint, browser-based viewer compatible with desktops, tablets, and mobile devices, enabling them to conduct measurements, engage in 3D volume rendering, and perform detailed reviews without the necessity of specialized workstations. This comprehensive approach not only simplifies the imaging process but also significantly improves the efficiency of clinical workflows.

MiNNOVAA is a company specializing in medical information technology, particularly in the realms of medical imaging software and the exchange of medical images. With the guiding principle of "medical imaging innovation," we stand out for our nimbleness and the state-of-the-art technology we utilize in crafting our solutions. Our main areas of concentration are the development of medical image viewers, enhancement of radiology workflows, and the incorporation of artificial intelligence in diagnostic reporting. Our energetic team comprises around 20 skilled programmers and product managers, alongside professionals in marketing, sales, technical support, call center operations, and administration, all dedicated to driving a meaningful transformation in the field of medical imaging and enhancing individual healthcare experiences. We offer a comprehensive clinical imaging IT solution tailored for mid-sized hospitals and imaging clinics, featuring a wide array of functionalities such as on-premise core PACS software, a DICOM web viewer, multi-platform imaging workstation software, seamless integration with EHR/EMR/HIS systems, and an efficient workflow engine/RIS. Ultimately, our commitment to innovation and comprehensive solutions aims to redefine how medical imaging is approached and utilized within healthcare settings.

CSAM TRIS is a robust and versatile Radiology Information System designed specifically for healthcare professionals working within Nordic Radiology Departments. This user-friendly platform combines high functionality with stability, catering effectively to radiology departments of varying sizes and workflows. Thanks to ongoing input from committed users, CSAM TRIS excels in delivering a seamless experience for its operators. Essential tasks can be executed swiftly through intuitive keystrokes and specialized tools, showcasing the system’s remarkable balance between information management and usability. Furthermore, CSAM TRIS enhances IT connectivity among X-ray departments, clinical teams, outpatient facilities, and primary healthcare services, all while prioritizing user needs related to security and quality. The software is equipped with a range of contemporary features, such as the ability to send interactive online referrals directly to Radiology, ensuring a comprehensive approach to patient care. Overall, CSAM TRIS stands as a testament to innovative technology in the healthcare sector.

Arterys is an innovative medical imaging AI platform that seamlessly integrates advanced AI clinical applications into your existing PACS or EHR workflows, making it an intuitive extension of your current practices. Our goal is to bring AI into the forefront by enhancing physician experiences, improving diagnostic accuracy and treatment efficacy, optimizing financial outcomes, and providing significant benefits for both patients and healthcare providers. Accessible from any validated device through the cloud, it offers rapid performance and easy deployment without the exchange of PHI, ensuring complete security. Fully connected to PACS, RIS, EMR, and dictation software, Arterys enhances your workflow without disruption. Its rapid deployment capabilities require minimal on-premise infrastructure, and it is commercially available in more than 100 countries. The platform's elastic cloud GPU architecture significantly boosts the performance of various tasks, such as rendering complex 3D files, handling large multi-dimensional datasets, and executing multiple AI applications simultaneously in real time. Additionally, features like pre-fetching and image caching contribute to quicker loading times and more efficient analysis, making it an indispensable tool in modern healthcare. This comprehensive approach positions Arterys as a leader in transforming medical imaging through artificial intelligence.

Deeplink Medical has centered its offerings around the MIRIO platform, which is designed to cater to the varying use cases and requirements of stakeholders engaged in medical imaging within oncology, both in clinical settings and routine practice. Our services encompass three distinct yet interconnected solutions: MIRIO, which tracks evaluations of solid tumors and monitors the therapeutic responses of oncology patients; a streamlined patient pathway that bridges hospital facilities with private medical practices; and an Imaging CRO dedicated to the oversight of imaging data in oncological clinical trials. The development of our innovative solutions is bolstered by a scientific board, ensuring a robust foundation for our offerings. Additionally, our collaborative workflow platform organizes imaging data and radiological assessments for patients with solid tumors, facilitating real-time data structuration in accordance with RECIST 1.1 and iRECIST guidelines right from the moment the data is generated at investigation sites. This enables immediate evaluation of treatment responses based on established international standards, ultimately enhancing the quality and efficiency of patient care in oncology. By integrating these services, we aim to provide a comprehensive approach that supports healthcare professionals in delivering optimal treatment outcomes.

Our comprehensive cloud-based platform enables you to streamline your facility or health system’s radiology services under a single contract, effectively reducing expenses while maintaining the quality, dependability, and accessibility of imaging studies. BRIT Systems stands at the forefront of innovative imaging solutions tailored for the healthcare sector. This unified cloud solution not only consolidates radiology services under one agreement but also significantly cuts costs. Additionally, the company provides a quality control module aimed at improving performance across various radiology ecosystems, thereby delivering added value for both healthcare facilities and their patients. By delving into the various modules within our cloud-based solution, you can assess how each contributes to enhancing value for our partner facilities and the patients they serve. It's important to note that no radiology solution fits all scenarios perfectly. We understand that our extensive range of services might exceed the needs of some facilities. Therefore, once any of our services are integrated into your facility, you can easily access additional modules as necessary to meet your specific requirements. This flexible approach ensures that every facility can tailor their radiology offerings to best serve their unique circumstances.

CARPL.ai serves as a vendor-agnostic artificial intelligence platform designed to empower radiologists in accessing, evaluating, and incorporating a wide range of radiology AI solutions into their everyday clinical workflows. This innovative platform boasts an extensive collection of over 140 AI applications from more than 60 different vendors, thereby aiding in the discovery, exploration, validation, and implementation of various AI tools. By providing a unified technical integration along with a user-friendly interface, CARPL.ai simplifies the process of adopting multiple AI systems effectively. The platform is versatile, accommodating both cloud-based and on-premise deployments to suit diverse clinical settings. Additionally, it features a universal AI viewer that allows for the viewing, editing, and annotating of AI-generated outputs while also providing pre-deployment validation and ongoing post-deployment monitoring to maintain the systems' performance over time. With seamless integration into existing Picture Archiving and Communication Systems (PACS), CARPL.ai enhances patient care, minimizes turnaround times, and boosts diagnostic accuracy, ultimately transforming the radiology landscape for better healthcare outcomes. Furthermore, its commitment to adaptability and ease of use makes it a valuable asset for radiologists looking to leverage AI technology in their practices.

MediLogix is an advanced clinical documentation platform powered by AI, aimed at significantly simplifying and enhancing the process of creating medical records for healthcare providers. By capturing a single patient encounter, clinicians can leverage the system’s AI, which converts that input into eight different types of comprehensive documents, including full transcripts, patient summaries, treatment plans, and instructions for wound care or medication, as well as coding suggestions, reusable templates, and protocol analyses. Unlike standard speech-to-text solutions, this AI goes further by analyzing clinical context in real-time and tailoring its outputs to align with specialty-specific nuances, such as those found in cardiology or orthopedics, while maintaining the physician's unique voice, reasoning, and decision-making patterns instead of generating generic notes. Furthermore, all outputs created by the AI are meticulously reviewed by human medical transcriptionists, ensuring not only accuracy but also the interpretation of nuanced elements like tone, sentiment, and clinical subtleties, which are vital for high-quality patient care. This blend of technology and human oversight ultimately enhances the documentation process, allowing clinicians to focus more on patient interaction.

Created by radiologists for their peers, our initiative harnesses AI technology to help radiologists save time, alleviate burnout, and enhance the quality of patient care. Rad AI Continuity ensures that follow-up recommendations for important incidental findings in radiology reports are effectively addressed, leading to better patient outcomes, minimizing health system risks, and generating new financial benefits. With up to 35% reduction in dictated words and over an hour saved during each shift, our solutions significantly boost operational efficiency while also capturing previously overlooked revenue. Established by a skilled team with extensive knowledge in healthcare and artificial intelligence, our venture is supported by prominent investors and has gained the trust of leading radiology groups across the country. This commitment to innovation helps reshape the future of radiology, ultimately benefiting both practitioners and patients alike.

VolView is an open-source tool designed for radiological professionals, enabling them to visualize DICOM data in three dimensions through interactive cinematic volume rendering. This application runs directly in web browsers, allowing secure data handling as files remain on the user's device without requiring installation. Supporting a convenient drag-and-drop interface for DICOM files, VolView excels in delivering high-quality and interactive 3D renderings. Users can explore various color presets, modify lighting and transparency settings, crop images, and engage with 3D data for enhanced understanding. The platform features both standard 2D and 3D controls, measurement tools, and annotation capabilities, with continual updates made in response to user suggestions. As it operates locally, VolView harnesses the processing power of the user's CPU, GPU, and disk space, avoiding reliance on external servers or cloud services. Additionally, being open-source, it remains freely available to healthcare professionals, promoting wide accessibility and collaboration in the clinical community. This empowers clinicians to utilize advanced visualization techniques in their diagnostic processes.

ClinicalWave.ai, built on AWS' cloud platform, is an integrated AI platform designed for life sciences companies. It uses cutting-edge NLP to extract valuable insights and automates the redaction and extraction sensitive data from clinical documents. It is made up of: 1. ClinRedact AI - Our Redaction Product that automatically identifies and removes sensitive information from clinical documents. This product saves time and ensures data integrity. 2. ClinExtract AI - The AI Data Extraction Product that uses NLP and Machine Learning to extract relevant data from clinical documents. This product provides valuable insights and streamlines workflows. 3. ClinDICOM AI - Experience the power and features of our DICOM data extraction product. It offers targeted redaction, customizable redaction rules, intelligent context analysis, audit trail compliance and a user friendly interface.

Camgenium offers a hospital product that features an AI-driven medical analytics platform aimed at assisting healthcare facilities in evaluating clinical performance, enhancing patient safety, and increasing operational efficiency through sophisticated data analysis. This platform assesses hospital performance based on risk-adjusted clinical outcomes, allowing providers to compare their patient results with global benchmarks and pinpoint areas that need enhancement in care delivery. With over 18 years of implementation across hospitals worldwide, it has processed more than 500 million patient records to develop sophisticated AI models utilized in various healthcare systems, including the NHS. It produces comprehensive clinical audit reports that encompass domains like inpatient medicine, surgery, maternal care, and neonatal care, equipping hospitals with practical recommendations that foster improved clinical decisions and financial efficiencies. Additionally, the insights generated by this platform empower healthcare professionals to make informed choices that ultimately lead to superior patient outcomes.

Innovative AI solutions that smoothly integrate with your PACS and radiology processes empower radiologists to streamline their workflows and enhance patient care. As the demand for medical imaging continues to rise, radiologists are often overwhelmed by the sheer volume of data, which can lead to increased reporting errors, elevated workloads, and disorganized processes. By automating repetitive tasks and standard measurements, AI technology assists radiologists in producing high-quality, evidence-based reports. This enhancement not only aids referring doctors and physicians in making well-informed decisions but also fosters a more intuitive workflow, ultimately benefiting patient care. Furthermore, these systems excel at identifying, characterizing, and classifying critical elements with pinpoint accuracy while maintaining the highest image quality and ensuring rapid loading times. Additionally, the inclusion of intelligent suggestions during report template searches, along with the ability to use pre-filled or customizable report templates, greatly improves standardized clinical communication and efficiency in the reporting process. By adopting such advanced tools, radiologists can focus more on patient interactions and less on administrative burdens.

Microsoft Cloud for Healthcare serves as an all-encompassing platform aimed at revolutionizing the healthcare sector by utilizing AI-driven solutions, integrating data, and ensuring secure, interconnected experiences. This platform assists healthcare providers, payors, and life sciences entities in enhancing patient care, optimizing operations, and bolstering research efforts. It provides resources for protecting confidential information, streamlining clinical processes, and fostering better patient engagement. By harnessing actionable insights derived from integrated clinical and operational data, Microsoft Cloud for Healthcare empowers organizations in the healthcare field to achieve favorable results, boost efficiency, and lower expenses. Ultimately, this innovative platform is pivotal in shaping the future of healthcare delivery.

OM1 leverages artificial intelligence and extensive clinical data to significantly enhance research productivity and clinical decision-making via high-performance predictive models. The OM1 Patient Finder employs advanced AI technology seamlessly integrated with the OM1 Real-World Data Cloud. By merging various aspects of patient journeys from diverse data sources, it effectively identifies individuals most likely to be affected by the target condition. We have developed an intelligent data cloud that allows various healthcare stakeholders to access, analyze, and utilize outcomes data in a manner that is not only more comprehensive but also clinically relevant and precise. This enables rapid, accurate, and cost-effective access to research-grade insights regarding effectiveness, value, and safety. Moreover, it allows for the quantification of outcomes, facilitating the demonstration of value in risk-sharing and outcomes-based payment models. As a result, healthcare providers can make informed decisions grounded in real-world evidence.

Oncoustics is pioneering the development and application of innovative, patented AI technologies aimed at providing low-cost, non-invasive surveillance, diagnostics, and treatment monitoring for diseases that currently face significant clinical challenges. The company has developed a range of specialized applications focused on various diseases and anatomical structures that are compatible with any point-of-care ultrasound device, allowing physicians, nurses, and technicians to operate them as essential tools in a primary care setting without requiring image analysis. By leveraging AI, Oncoustics transforms affordable point-of-care ultrasound machines into robust diagnostic instruments capable of facilitating quick and economical identification and monitoring of conditions affecting the liver, prostate, kidney, breast, and thyroid. The multidisciplinary team behind Oncoustics consists of professionals with expertise in AI, signal processing, radiology, hepatology, digital health, and ultrasound, ensuring a comprehensive approach to healthcare innovation. The emphasis on cost-effective point-of-care diagnostics and surveillance significantly enhances patient outcomes through timely detection and consistent monitoring, which are crucial for effective disease management and better overall health. As such, Oncoustics is not only addressing immediate healthcare needs but is also setting the stage for a transformation in how we approach disease management in the future.

Join AI is transforming the healthcare landscape with AI-powered tools designed to assist in radiology and endoscopy diagnostics. The platform offers AI-driven solutions for chest imaging, breast imaging, stroke detection, and gastrointestinal endoscopy, enabling clinicians to detect conditions like lung diseases, breast tumors, and gastrointestinal infections more efficiently. Join AI’s algorithms provide deeper insights, aiding in early diagnosis and faster decision-making, which are crucial for improving patient care and treatment outcomes. With seamless integration into existing workflows, the platform empowers healthcare professionals to make more confident decisions.

PACSgear is a suite that makes it easy to share vital medical images with your team, facility, or across your entire health system. It also connects them to your EMR, VNA, and PACS. PACSgear allows you to quickly and easily share information across any department or specialty, such as radiology and cardiology, emergency, dermatology, gastroenterology and orthopedics. This facilitates collaboration and provides a complete view and record of all patient images so that clinicians can make diagnoses and make patient care decisions. PACSgear is an enterprise-class solution for image capture. It can scale to meet the needs any size healthcare delivery organisation, from the smallest single facility up to the largest and most complex. You can start with one PACSgear module for a single department, and then add other PACSgear applications as you go.

Our platform, designed with regulatory compliance in mind, enhances clinical research by using algorithms to sift through unstructured EMR data to identify life-threatening conditions. We create cutting-edge technologies that broaden access to groundbreaking healthcare solutions through Clinical Trials. Our dedicated team is committed to saving lives by facilitating access to therapeutic innovations that are still being researched. We strongly advocate that every patient should be informed and empowered regarding their potential to engage in clinical trials that could offer significant therapeutic benefits. As a forward-thinking healthcare AI research firm, we have created a computational platform that identifies patients who meet a detailed set of criteria for participation in clinical trials, ensuring that the most suitable candidates are considered for these critical studies. Through our work, we aim to revolutionize the way patients connect with life-changing treatment opportunities.

Savana is a clinical intelligence platform that utilizes artificial intelligence to convert unstructured text from electronic medical records into valuable real-world evidence through sophisticated natural language processing techniques. Launched in 2014, Savana has facilitated the structuring and examination of billions of clinical documents in various languages and regions, revealing insights that were previously obscured within healthcare data. Its EHRead NLP models drive tools for anonymization and pseudonymization, effectively managing both structured and unstructured data on a large scale, having processed over 35 million documents to date. By providing hospitals, researchers, and health systems with actionable, research-grade evidence, Savana supports precision medicine initiatives, conducts epidemiological studies, including predictive analyses related to COVID-19, and enhances broader clinical data strategies, solidifying its position as one of Europe's leading contributors to Health Economics and Outcomes Research (HEOR). Additionally, Savana's innovative approach continues to reshape the landscape of data analysis in healthcare, promoting more informed decision-making that can ultimately improve patient outcomes.

Amazon Comprehend Medical is a natural language processing (NLP) service compliant with HIPAA that leverages machine learning to retrieve health information from medical texts without requiring any prior machine learning expertise. A significant portion of health data exists in unstructured formats such as physician notes, clinical trial documentation, and patient medical records. The traditional approach of manually extracting this data is labor-intensive and inefficient, while automated methods based on strict rules often overlook crucial contextual details, leading to incomplete data capture. Consequently, this limitation results in valuable information remaining untapped for large-scale analytical efforts that are essential for progressing the healthcare and life sciences sectors, ultimately impacting patient care and operational efficiencies. By addressing these challenges, Amazon Comprehend Medical enables healthcare professionals to harness their data more effectively for better decision-making and innovation.

Enhance your examination capabilities from any location and boost patient outcomes with intuitive, real-time imaging that is both economical and highly portable. Introducing the groundbreaking 3rd generation portable ultrasound, which is now 30% smaller and lighter than its predecessors. The Clarius HD3 offers unparalleled portable ultrasound technology tailored for your specific specialty, featuring a user-friendly app driven by artificial intelligence and seamlessly integrated with cloud connectivity. With the Clarius HD3, you can expect crisp and clear imaging that makes it simple to pinpoint anatomy, accurately diagnose conditions, and guide procedures in real-time right at the patient's side. This innovative device is equipped with artificial intelligence, 192 piezoelectric elements, and an impressive eight beamformers, which together provide the superior performance typically associated with cart-based systems, all while maintaining the lightweight feel of a conventional probe. As we move towards a future where smart devices operate without ports, the Clarius HD3 incorporates cutting-edge antenna technology designed for the most dependable direct WiFi connection to your mobile iOS or Android devices, eliminating the need for ports or cables altogether, thus ensuring maximum convenience. This advancement represents a significant leap forward in diagnostic imaging technology.

Our state-of-the-art technology, powered by artificial intelligence (AI), transforms both organized and disorganized healthcare information into a dependable, high-quality, standardized dataset that can be utilized throughout your organization. By facilitating near real-time access to data from various systems, our solutions alleviate the strain of manual data abstraction, enabling your administrative and clinical teams to reclaim valuable time for quality improvement and research endeavors. Our suite of products and services empowers you to gather, assess, and utilize your data effectively, irrespective of the data source, therapeutic area, organizational department, or pre-existing reporting, business intelligence, or analytics tools. Atlas leverages both human knowledge and AI capabilities to streamline the challenging process of uncovering and interpreting patient data for clinical registries. Meanwhile, Cartographer efficiently searches, evaluates, and interprets patient data across multiple platforms, standardizes that information into a uniform format, and offers pertinent data insights. Ultimately, our innovative solutions not only enhance operational efficiency but also support informed decision-making throughout your organization.

NeoRad RIS is an advanced radiology management platform created by Everrtech to optimize radiology operations and data handling. It enables radiology departments to efficiently manage patient records, imaging workflows, scheduling, and financial processes. NeoRad RIS works in close integration with PACS and EHR systems to deliver a connected healthcare ecosystem. The platform centralizes radiology data, images, and reports to improve accessibility and accuracy. By automating routine tasks, NeoRad RIS reduces administrative workload and minimizes errors. It supports smoother communication between radiologists, technicians, and referring physicians. The system is designed to improve turnaround times and overall patient experience. NeoRad RIS is adaptable to different clinical environments, from standalone imaging centers to large hospitals. Its robust design supports long-term scalability and operational growth. NeoRad RIS helps healthcare providers deliver efficient, technology-driven radiology services.

Envision a transformative approach to care management that lowers healthcare expenses, reduces both admissions and readmissions, enhances star ratings and HEDIS metrics, and elevates health quality and outcomes through a mission-focused data platform driven by artificial intelligence. As the healthcare sector increasingly embraces value-based care, Health EM.AI emerges as a pioneer, redefining care management and enhancing care delivery through innovative data utilization and AI technology. By streamlining patient information from various care settings and leveraging AI/ML-driven predictive analytics, we equip healthcare organizations with actionable insights that significantly enhance care quality. Our approach ensures measurable improvements at the individual patient level, particularly within palliative and chronic care management workflows. The integration of unified patient 360 data across all care settings leads to meaningful advancements in star ratings, risk adjustment, and the effective closing of care gaps. Additionally, our localized healthcare models examine over 1,000 clinical and non-clinical variables based on geographical context, further refining the effectiveness of care. This comprehensive strategy not only fosters better patient outcomes but also encourages a more efficient healthcare ecosystem.

Ambra Health offers an advanced cloud-based platform designed for the management of medical data and images, catering to hospitals, radiology practices, medical groups, and contract research organizations. This platform is scalable, user-friendly, and highly compatible with other systems, enabling healthcare providers to enhance collaboration through seamless image sharing with patients and various departments. With Ambra’s secure storage solution, users can consolidate all imaging data into a unified repository, accommodating a wide range of medical imaging file formats such as TFF, JPEG, and DOC among others. Key functionalities of the platform include an EMR HL7 Bridge, integration with PACS, a Cloud VNA, EMR/EHR integration, telestroke services, and an informatics-first migration approach. Ambra Health not only streamlines the management of medical images but also ensures compliance with industry standards, thereby promoting better patient care and operational efficiency. These features make it a crucial tool for organizations aiming to optimize their imaging workflows in a rapidly evolving healthcare landscape.

BEKhealth provides an innovative clinical research platform, known as the BEKplatform, which leverages artificial intelligence to streamline the extraction, interpretation, and standardization of both structured and unstructured electronic medical record data, encompassing various elements such as lab results, diagnoses, physician notes, pathology reports, and PDFs. This integrated system creates a searchable, longitudinal patient graph designed to assist life sciences and healthcare organizations in swiftly pinpointing protocol-eligible patients while enhancing trial feasibility, site selection, and recruitment processes. By utilizing advanced deep learning techniques and natural language processing, BEKhealth transforms chaotic clinical data into precise, actionable insights, allowing for the generation of sophisticated queries and patient cohorts. This method not only identifies more qualified candidates compared to traditional manual chart reviews but also provides real-time reports and dashboards that facilitate informed decision-making across research networks, ultimately improving the efficiency and effectiveness of clinical trials. The ability to generate these insights in real-time is a game-changer for organizations striving to maximize their research potential.

Augnito merges advanced Speech Recognition AI with seamless mobility, allowing users to edit, format, and finalize reports at a pace comparable to natural human speech while maintaining top-tier accuracy. You can leverage your customized templates and abbreviations from any workstation, whether you're at home, in the office, or traveling. This solution is particularly beneficial for clinical fields that require comprehensive reporting, such as Radiology, Histopathology, and Surgical Notes, enabling you to dictate reports from virtually any location worldwide. Augnito is equipped to comprehend various accents and pronunciations right from the start, eliminating the need for profile training. Powered by cutting-edge deep learning technology, it encompasses the complete medical lexicon, spanning over 50 specialties and sub-specialties, as well as a comprehensive list of common generic and brand-name drugs. With its user-friendly interface, Augnito ensures that healthcare professionals can enhance their productivity without compromising on quality.