Alternatives to Amazon Comprehend Medical

Fully autonomous, AI-enabled medical Scribe Clip for any EHR. Reduces the burden of clinical documentation. It integrates with all EHR types and provides quick documentation. It is based upon the patent-pending technology Intelligent Physician Knowledge Orchestrator. S10.AI will make it easier to see patients and reduce the documentation burden. S10.AI stands out because of: 1. Its accuracy rate for speech to text is 99% 2. In five minutes, you will have immediate documentation. 3. The robot scribe service can be accessed online or offline, and is available around the clock. 4. It does not integrate EHR data automatically. 5. Highest level of security and HIPAA compliant. S10.AI allows for you to make more money and spend less on other scribing or transcription services.

PrecisionOCR is an easy-to-use, secure and HIPAA-compliant cloud-based optical character recognition (OCR) platform that organizations and providers can user to extract medical meaning from unstructured health care documents. Our OCR tooling leverages machine learning (ML) and natural language processing (NLP) to power semi-automatic and automated transformations of source material, such as pdfs and images, into structured data records. These records integrate seamlessly with EMR data using the HL7s FHIR standards to make the data searchable and centralized alongside other patient health information. Our health OCR technology can be accessed directly in a simple web-UI or the tooling can be used via integrations with API and CLI support on our open healthcare platform. We partner directly with PrecisionOCR customers to build and maintain custom OCR report extractors, which intelligently look for the most critical health data points in your health documents to cut through the noise that comes with pages of health information. PrecisionOCR is also the only self-service capable health OCR tool, allowing teams to easily test the technology for their task workflows.

Amazon Textract, a fully managed machine-learning service, automatically extracts text from scanned documents. It goes beyond optical character recognition (OCR), to identify, understand and extract data from forms or tables. Today, many companies extract data from scanned documents such as PDF's and tables using manual data entry. This can be slow, expensive, and prone to errors. Or, they use OCR software which requires manual configuration and must be updated every time the form is modified to be usable. Textract uses machine-learning to automatically read and process any type document. It extracts text, forms, tables, and other data without any manual effort or custom code. Textract allows you to quickly automate manual document activities and process millions of pages in just hours.

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.

Unstructured health data can be unified and liberated with Interactive AI and NLP solutions that deliver health insights to Providers. Payers. Life Sciences. Interactive AI and NLP solution to unlock healthcare insights from unstructured clinical data. Provider. Accelerate data abstraction and clinical validation of clinical notes information. Reduce time and costs needed to identify care gaps, review care quality dashboards and create registry reports. Payer. To better manage high-risk and high-cost member cohorts, integrate and analyze claims data and clinical notes. Life Sciences. Use clinical trial databases and data taken from clinical notes to quickly match patients with clinical trials. Real world clinical data and evidence can be leveraged. Ember is a complete solution that combines NLP and predictive analytics. Streamline. Healthcare Analytics for Unstructured Data to Improve Quality and Efficiency.

DeepScribe’s AI-powered scribe captures the natural conversation between a clinician and patient and automatically writes medical documentation, allowing clinicians to focus on patient care instead of note-taking. Through an easy-to-use mobile app, DeepScribe records the natural clinical encounter and transcribes it in real time. Our proprietary AI then extracts the medical information from the transcript, classifies it into a standard note, and then integrates that note directly into a clinician’s electronic health record system. Unlike traditional scribes, dictation tools, or other solutions, the ambient nature of DeepScribe means it doesn’t intrude on the patient visit or disrupt the clinical workflow. Providers can simply talk to their patient like normal, then review their notes after the visit and sign-off in their EHR. DeepScribe handles documentation, charting, and even populates suggested diagnostic coding based on the information extracted from the visit. With DeepScribe’s easy to use, efficient, and powerful AI scribe, clinicians can bring the joy of care back to medicine.

Securely combine multiomic data from individuals with their medical histories to provide more personalized care. To support large-scale analysis, and collaborative research across entire populations, use purpose-built data storage. Use scalable workflows and integrated computing tools to accelerate research. Protect patient privacy with HIPAA eligibility, built-in data access, and loglogging. Amazon Omics is a tool that helps healthcare and life sciences organizations, as well as their software partners, store, query, analyze, and interpret genomic, transcriptomic and other omics data. The data can then be used to generate insights that will improve health and advance scientific discovery. To understand how omics variation is related to phenotypes in a population, store and analyze omics data from hundreds of thousands of patients. To reduce turnaround times and increase productivity, create reproducible and traceable clinical multiomics workflows. Multiomic analysis can be integrated into clinical trials to evaluate the efficacy of new drug candidates.

At Iris.ai we have spent the last 6 years building an award-winning AI engine for scientific text understanding. Our algorithms for text similarity, tabular data extraction, domain-specific entity representation learning and entity disambiguation and linking measure up to the best in the world. On top of that, our machine builds a comprehensive knowledge graph containing all entities and their linkages to allow humans to learn from it, use it and also give feedback to the system. The Iris.ai Researcher Workspace is a flexible tool suite that allows to approach a project in a variety of ways. Modules include content based explorative search, machine analysis of document sets, extracting and systematizing data points, automatically writing summaries of multiple documents - and very powerful filters based on context descriptions, the machine’s analysis, or specific data points or entities. The Iris.ai engine for scientific text understanding is a powerful interdisciplinary system that can be automatically reinforced on a specific research field for much more nuanced machine understanding - without human training or annotation.

Business data can be found in many formats and from different sources. Many business data is not structured or semi-structured. IDP (Intelligent Document Processing), which uses AI and programmable automation (such repetitive tasks) to convert business data into usable, structured formats and for consumption by downstream system. Blox.ai uses Natural Language Processing (NLP), Computer Vision, (CV) and machine learning tools to identify, label and extract relevant data from any type. The AI then converts the extracted information into a structured format and creates a model that can be used for all types of similar documents. Blox.ai is used to reconcile data based upon business requirements and push the output to downstream system automatically.

Genospace understands that genomics is driving precision medicine development, but scaling its delivery remains a challenge. We are here to help. Our platform makes biomedical data meaningful, accessible and easy to use for everyone, especially those at the frontlines of care delivery. Your clinicians and researchers will have the information they need in order to make informed decisions. Join us in our mission to leverage high-dimensional molecular data to improve patient outcomes and accelerate drug discovery and research. For drug development and research, large-scale population data is essential. Genospace platform allows you to conduct cohort-driven analyses that will inform your research activities. We are experts in clinical trial research. Genospace allows you to quickly accrue patients by matching fragmented patient data with complex trial criteria. The Genospace platform enables you to integrate genomic medicine into your mainstream clinical care.

Natural language processing (NLP), which is a natural way to extract insights from unstructured text, is a great way to gain insight. To understand common topics and trends, identify key phrases and entities, such as people, places, or organizations. Pretrained models that are domain-specific can be used to classify medical terminology. Sentiment analysis allows you to gain a deeper understanding of customer opinions. You can evaluate text in many languages. Broad entity extraction Identify key concepts in text, including key words and named entities, such as people, places and organizations. Sentiment analysis that is powerful: Find out what customers think about your brand and how sentiment is around certain topics. Robust language detection: Assess text input in a variety of languages. Flexible deployment: Text Analytics can be run anywhere: on-premises, in the cloud, or at the edge with containers.

BIS, a company that has 35 years of experience in developing and delivering innovative technology, built Grooper from the ground up. Grooper is an intelligent data processing and digital data integration tool that allows organizations to extract meaningful information out of paper/electronic documents, and other unstructured data. The platform combines advanced image processing, capture technology and machine learning with optical character recognition to enrich data and embed human comprehension. Grooper is a foundation for many industry-first solutions, including in healthcare, financial services and education.

Combine Data Science, Business Intelligence and Data Management Capabilities into One Integrated, Self-Serve Platform. Analance is an end-to-end platform with robust and salable features that combines Data Science and Advanced Analytics, Business Intelligence and Data Management into a single integrated platform. It provides core analytical processing power to ensure that data insights are easily accessible to all, performance remains consistent over time, and business objectives can be met within a single platform. Analance focuses on making quality data into accurate predictions. It provides both citizen data scientists and data scientists with pre-built algorithms as well as an environment for custom programming. Company - Overview Ducen IT provides advanced analytics, business intelligence, and data management to Fortune 1000 companies through its unique data science platform Analance.

Doctors spend two-thirds of their time documenting a patient's treatment. They spend far less time with patients or conducting interviews. Averbis is developing Speech2Structure, a software solution that allows doctors to spend more time with patients. The software allows for the recording of patient documentation live by voice and then structured on-the fly. Speech2Structure is able to recognize and correct many linguistic variations, including negations, suspected diagnoses, past diagnoses, and others. When recognizing diagnoses. Also, the corresponding diagnoses are made from microbiology or pathological laboratory results. Recorded medications can also be used to help diagnose.

RapidMiner is redefining enterprise AI so anyone can positively shape the future. RapidMiner empowers data-loving people from all levels to quickly create and implement AI solutions that drive immediate business impact. Our platform unites data prep, machine-learning, and model operations. This provides a user experience that is both rich in data science and simplified for all others. Customers are guaranteed success with our Center of Excellence methodology, RapidMiner Academy and no matter what level of experience or resources they have.

SparkCognition, an industrial AI company, has created a natural language processing solution that automates the workflows of unstructured data within companies so that humans can concentrate on high-value business decisions. DeepNLP uses machine learning to automate the retrieval, classification, and analysis of information. DeepNLP integrates with existing workflows to allow organizations to respond more quickly to changes in their businesses and get quick answers to specific queries.

PatientIQ was founded in Chicago, Illinois. It serves providers, payers, and medical device & health sciences companies. The largest platform for healthcare professionals to connect and improve patient outcomes. Provide healthcare professionals with the industry's best technology to practice data-driven medicine. All stakeholders in the U.S. healthcare system are under increasing pressure. Objective measures of patient outcomes are crucial to assessing "value". Although measuring outcomes can be complex, time-consuming, expensive, and complicated due to technological barriers, they are the most valuable currency for value-based healthcare in the future. The next big market opportunity for digital health is a transparent way to measure, analyze, compare, and compare outcomes across stakeholders.

Our platform is regulatory compliant and allows clinical research to be done by analyzing unstructured EMR data in order to identify life-threatening conditions. We develop technologies that increase access to the most innovative healthcare through clinical trials. Our team is focused on saving lives and providing access to new healthcare therapeutic innovations that are still being investigated. We believe every patient should be informed about their options to participate in clinical trials that could offer therapies that significantly save or improve their lives. We are an AI-based healthcare research company that has developed a platform that uses computational technology to identify patients who meet a complex set criteria and allows them to participate in clinical trials.

Our virtual assistant will answer all your questions and provide you with the best possible answers. Choose a doctor who is best suited to meet your needs from the top institutions in Europe and the US. You can receive a second medical opinion via video call or written form, from the comfort of home. All data shared through our services are protected by advanced encryption protocols and security standards that comply with HIPAA regulations and GDPR standards. Docus AI Health Assistant is designed to act as an AI doctor, and to provide accurate and relevant data based on its trained algorithms. However, it cannot guarantee 100% accuracy. Consult a healthcare professional to determine a definitive diagnosis or treatment plan. Docus AI Health Assistant is an AI doctor but it is not meant to replace a real doctor.

Amazon Comprehend uses machine learning to discover insights and relationships in text. No prior machine learning experience is required. Your unstructured data can hold a treasure trove. Your unstructured data can provide valuable insights into customer sentiment. These include customer emails, product reviews, support tickets, social media and even advertising copy. How can you get there? Machine learning is able to identify specific items of interest within large swathes text (such finding company names in analyst report), and can also learn the sentiment hidden within language (identifying negative customer reviews or positive customer interactions with service agents). This is possible at a nearly limitless scale. Amazon Comprehend uses machine-learning to help you discover the relationships and insights in your unstructured data.

MedGeo, a health MedGEO, connects healthcare providers and patients using clinician-developed digital technology. Startup that works directly with industry representatives, administrators and providers to develop software applications that optimize clinical workflows. MedGEO was built on the expertise of global health, medical, and surgical professionals. We bring decades of first-hand knowledge from over 100 countries to the field. Modern hospital corridors are crowded, filled with computers and hardware, and covered with wires. They represent a patchwork system that is often unable to communicate. Staff spend more time interacting with computers than patients, and clinicians spend a lot more time entering data rather than providing care. MedGEO optimizes workflows to benefit clinicians, healthcare administrators and pharmaceutical companies.

Artificial intelligence transforms healthcare diagnosis Predictive analytics and AI are used to detect early-stage diseases and provide accurate diagnosis. Cloud-enabled AI platform to provide affordable and accessible healthcare. Endimension Technology, a startup in healthcare artificial intelligence, was founded at IIT Bombay. AI algorithms are developed to automatically detect abnormalities in medical scans and diagnose diseases. The founding team includes machine learning researchers, software engineers, and medical doctors from well-respected institutions. Our mission is to develop healthcare AI technology products that reduce misdiagnosis. AI to reduce the workload of radiologists Improve patient turnaround time

You can extract valuable insights from a variety of sources, all in one place. This will help you speed up the manual review process, increase productivity, and gain a deeper understanding of complex scientific content. Intelligent Literature Monitoring is a proactive tool that collects, evaluates, and documents post-market performance data in order to ensure compliance with the In Vitro Diagnostic Medical Devices Regulations, (IVDR), and Medical Devices Regulations, (MDR). Intelligent Literature Monitoring allows you to quickly and easily compare medical guidelines, and update visual decision-making tree. Our free, open-source content extraction framework can be used to extract text from a variety of data and documents. Language Intelligence Platform by Sorcero empowers life science and STEM companies with instant access to powerful insights that enhance expertise and decision-making.

LexisNexis®, MarketView™, provides medical claims-based information to healthcare payers and providers, life science companies, and health IT organizations throughout the United States. MarketView provides actionable insights that help businesses remain competitive. It allows them to see valuable insights and visualize ways to transform their business. MarketView is available to all life sciences companies, health plans, health systems, and vendors. It can transform key business work streams such as marketing, sales and strategic planning, physician outreach, physician relations, network optimization, market research, pricing, contracting and recruitment. To remain competitive, your business needs the most actionable insight. It can be difficult to pinpoint the right areas of focus if the picture isn't clear. MarketView provides insights into areas such as physician alignment strategies, referral patterns, physician referral patterns, quality of clinically integrated network, patient volumes, and more.

Cortical.io offers AI-based Natural Language Understanding solutions such as Contract Intelligence or Message Intelligence that enable enterprises to search, extract, analyze, and annotate key information from any type of unstructured text. The Cortical.io artificial Intelligence-based solutions can quickly be trained unsupervised in any business domain's specialized vocabulary and can work across multiple languages. They have been used in a variety of business use cases at several Fortune 500 companies.

We are an artificial intelligence-enabled SaaS which diagnoses drug-resistant tuberculosis within a matter of hours. AarogyaAI aims at diagnosing drug-resistant tuberculosis using Artificial Intelligence within a few hours. We allow rapid and accurate diagnosis of DRTB so that patients can be prescribed the most effective drug combinations. Tuberculosis kills more people each year than AIDS. Because there are 19 anti-TB medications available, doctors don’t always know which one will work for whom. Even though tuberculosis may be curable, patients who are not diagnosed in time can end up on ineffective treatment for up to seven years. AarogyaAI is able to diagnose drug-resistant tuberculosis within a few hours, so that patients can be prescribed effective treatment immediately. Our SaaS uploads the patient's DNA sequence. The machine learning algorithm generates an output report that shows a complete drug susceptibility status.

NaturalText A.I. Your data can be used to get more. Discover relationships, build collections, and uncover hidden insights in documents and text-based data. NaturalText A.I. NaturalText A.I. uses artificial intelligence technology to uncover hidden data relationships. The software uses a variety of state-of-the art methods to understand context and analyze patterns to reveal insights - all in a human-readable manner. Discover hidden insights in your data It can be difficult, if not impossible, to find everything in your text data. Traditional search can only find information about a document. NaturalText A.I. on the other hand, uncovers new data within millions of documents, including patents and scientific papers. NaturalText A.I. NaturalText A.I. can help you uncover insights in your data that you are not currently seeing.

The Accern No-Code NLP Platform empowers citizen data scientists to extract insights from unstructured data, minimize time to value and maximize ROI with pre-built AI/ML/NLP solutions. Recognized as the first No-Code NLP platform and industry leader with the highest accuracy scores, Accern also enables data scientists to customize end-to-end workflows that enhance existing models and enrich BI dashboards.

Insurance is driven by the need to obtain the best rate and manage risk. To be competitive in this industry, it is important to reduce manual intervention. It takes large staffs to search, organize, analyze, and distribute information for support and underwriting purposes. Many of the data is text-centric, unstructured and require manual review. Scaling can be described as hiring more people or outsourcing. All complaints must be filtered and recorded according to their severity and topic. These complaints can be collected by automotive companies in many ways, including email, comments, forms, and other methods. Lymba's Underwriting and Support NLP Solution reduces text-centric bottlenecks by turning the data into actionable information. This saves time and money by populating an initial review.

Zegami makes it easier to deliver explainable imaging AI more quickly and accurately. Zegami's full-stack service allows researchers, data scientists, and medical professionals to deliver explainable AI with greater efficiency. Our team and tools are your data science plug-in to create, validate, and enhance machine learning models in healthcare, life science, and manufacturing to propel your business or project forward.

ICyte is used by life science organizations of all sizes and complexity to facilitate pharma market access and commercialization. ICyte offers biotech and pharma companies world-class channel, patient and pricing data aggregation, contracts, pricing managed services and gross-to-net forecasting, accrual systems, expert launch and pricing transparency solutions, and pricing managed service contracts. ICyte helps pharmaceutical and biotech companies increase market access by quickly transforming channel, payer, complex transaction and patient data into actionable insights. ICyte also supports analytics-as-a-service, which allows common models and metrics to be deployed as a centralized service across applications, data, and analytics uses. The platform includes key performance indicators (KPIs), which are specific to Life Sciences companies. Also included are advanced analytics such as forecasting, scenario modeling, and a machine-learning-powered recommendation engine.

Our cutting-edge platform, the Medidata Clinical Cloud, transforms clinical trial experiences for patients, sponsors and CROs. The Medidata Clinical Cloud is the only unified technology platform that focuses exclusively on clinical research. It addresses every step of the research process, from start to finish. Our platform helps medical device and life science organizations reduce development costs, minimize risks, and bring treatments and devices to market quicker. The Medidata Clinical Cloud will allow you to access the power of any product you choose for your clinical trials program. Medidata is leading the digital transformation in clinical research. Our platform, powered by artificial intelligence, machine-learning, advanced analytics, and advanced research, brings together researchers, study managers and investigators to accelerate research. Obtain regulatory-compliant, patient-friendly electronic informed consent for clinical trials.

Watson Natural Language Understanding, a cloud native product, uses deep learning to extract metadata such as entities, keywords and categories, sentiments, emotions, relations, and syntax. Text analysis can be used to uncover the topics in your data. It extracts keywords, concepts and categories. Unstructured data can be analyzed in more than 13 languages. Machine learning models for text mining are available that can be used outside-of-the box to provide high accuracy across your content. Watson Natural Language Understanding can be deployed behind your firewall or on any other cloud. Watson Knowledge Studio allows you to train Watson to understand your business language and extract custom insights. You can keep control of your data and have the assurance that it is safe and secure. IBM will not store or collect your data. Our advanced natural language processing service (NLP), gives developers the tools to extract valuable insights from unstructured information.

We have been pioneers in the development of clinical NLP platforms and their applications for over 15 years. This has resulted in high precision and accuracy. Our core competency is to interpret unstructured notes accurately and at scale. Tested on billions of real clinical notes and documents. AI that can explain with context, reasoning, and evidence for output. NLP with medical knowledge infused with 4M+ entities and 50M+ relationships. Innovative Machine Learning (ML), & Deep Learning(DL) models were used to build this NLP. Use a foundation of rich ontologies and clinician-specific terminologies. We can understand, interpret, and extract context & significance from the inconsistent, inconsistent, and non-standard data contained in medical documents. Our clinical domain experts continually infuse knowledge graphs to our NLP by mapping all clinical entities and their relationship between them. We have more than 4,000,000 entities and 50,000,000 relationships.

Machine learning models can transform your knowledge into text-based workflows that are scaleable and human-level. You can either create your own models, retrain our models for your task, or purchase Primer models off the shelf. Primer Automate is available to anyone in your company. No coding or technical skills are required. You can add a structured layer to your data and create an scalable, self-curating knowledgebase that can quickly scan through billions of documents. Quickly find answers to critical questions, track updates in real-time, and generate easy-to-read reports automatically. To find the most important information, process all your documents, emails and social media. Primer Extract makes it easy to quickly and efficiently explore your data using cutting-edge machine learning techniques. Extract offers more than keyword search. It also provides OCR, translation, and image recognition capabilities.

We are a leader in data science and help clients to extract valuable business insights from their data. This helps them better understand their audience, forecast demand and reduce risk. We are here to help you if you need a reliable technology partner or a data science consultant to create innovative, market-leading products. Machine learning (ML) tools are used to assist companies in developing AI-driven products. Our team has extensive experience in designing, implementing and integrating artificial intelligence solutions into customers' business environments. Machine learning (ML) tools are used by our team to assist companies in developing AI-driven products. Our team has extensive experience in designing, implementing and integrating artificial intelligence solutions into customers' business environments.

A no-code console can read natural language and handle text data. Never again will you need a spreadsheet. Spreadsheets don't know the meanings of words or languages. SimpleX knows this, as do you. There are no complicated queries or machine learning gibberish. A.I. A.I. is well hidden behind a simple, intuitive UI. Free text answers 10x faster than traditional analysis In seconds, import, tag, categorize and filter hundreds of quotes. Our A.I. Our A.I. does all the heavy lifting. Instant word clouds or treemaps, ready to be used in your presentation. Clean exports with all the necessary insights. Understanding and processing natively 50 languages, even when mixed up. Handles up to 10k text responses such as feedback, comments, and reviews. AI-powered analytical capabilities enable you to extract insights 10 times faster. Real-time, time-consuming tasks that you thought only humans could perform. The simple and friendly solution to sophisticated AI is sophisticated AI.

spaCy is designed for real work, real products and real insights. The library respects your time, and tries not to waste it. It is easy to install and the API is simple and efficient. spaCy excels in large-scale information extraction tasks. It is written in Cython, which is carefully managed for memory. SpaCy is the library to use if your application requires to process large web dumps. spaCy was released in 2015 and has been a industry standard with a large ecosystem. You can choose from a wide range of plugins and integrate them with your machine-learning stack to create custom components and workflows. You can use these components to recognize named entities, part-of speech tagging, dependency parsing and sentence segmentation. Easy extensible with custom components or attributes Model packaging, deployment, workflow management made easy.

Azure Health Bot empowers healthcare organizations' developers to create and deploy conversational healthcare experiences that are compliant with AI, at scale. It has a built-in database of medical terms and natural language capabilities that allow it to understand clinical terminology. It can be easily customized to meet your organization's specific clinical use cases. The service is HIPAA compliant and aligned with industry standards. Create health bots with built-in medical knowledge, triage protocols and language models that understand clinical terminology. The bot can seamlessly hand off the interaction to a nurse, doctor, or support agent. Use a library of scenario templates tailored to the healthcare industry to create use cases faster. Support your organization's customized scenarios with healthcare-specific configurable options and extensibility.

Fedo Vitals: AI-Powered Health Companion to a Better Future. Fedo Vitals is an AI-driven application that revolutionizes how we monitor and predict our health. Fedo Vitals analyses a person's vital signs using a 14-second video recording. It then provides insight into possible health risks and anticipated medical expenses over the next five years. Fedo Vitals uses data driven AI technology to analyze facial cues and lifestyle information. It extracts vital signs such as blood sugar, blood pressure, blood sugar, heart rate and HRV-SDNN. It also determines if the individual is a smoker. It can detect subtle changes in a person's health status, which allows them to take proactive steps to prevent or delay the onset.

nxtHealth Smart Technology for Telehealth is, above all, a tool that facilitates better patient care. It extends the therapeutic experience beyond the clinic setting. nxtHealth Apps enable continuous care by providing capabilities that support measurement and data collection, reporting, as well as exercise guidance via a mobile device. nxtHealth WEARBLS, for example, adds rich data from wearable sensors to the APPS. APPS and WEARBLS can be integrated seamlessly through a HIPAA compliant backend, which includes a provider portal with advanced data ANALYTX. Similarly, nxtHealth enhances data quality, patient/provider communication, and quality care through seamless integration. nxtHealth offers a range of smart technologies for telehealth that support patient-reported outcomes, cognitive assessment, rehabilitation, and other related areas.

To drive precision medicine programs that work, pharmaceutical companies require comprehensive genomic information. However, decisions are often made with only 10% of the data available. Genomenon provides 100% of the data. ProdigyTM Patient Landscapes are a cost-effective and efficient natural history research solution for pharmaceuticals. They enhance insights from retrospective and prospective health data to support the development rare disease therapies. Genomenon uses an AI-driven approach to deliver a thorough and expert assessment of all patients in the medical literature in a fraction time. Get a complete overview of every genomic biomarker in the medical literature. Every scientific assertion is supported with empirical evidence from medical literature. Identify all genetic drivers and determine which variants are pathogenic according ACMG clinical standards.

Patients around the globe suffer from complex diseases and have a wide range of symptoms. They all share one thing: Patients need faster access to safer and more effective treatments. Owkin's mission empowers researchers at hospitals, universities, as well as pharmaceutical companies to understand why drug efficacy differs from patient to patient, improve the drug development process, identify the best drug for the patient to improve treatment outcomes, and provide support to patients. Owkin Loop, the core of Owkin’s research platform, connects medical researchers to high-quality datasets from top academic research centers around world. Owkin Studio, Owkin Connect and Owkin Studio are the two main components of Owkin Software Stack. They power Owkin Loop. Owkin medical research collaborations include oncology, immunology, and cardiovascular diseases.

Story Health uses AI technology and virtual care to bridge the gap between patient reality and clinical data. This allows specialists to optimize treatment for patients suffering from serious illnesses. The majority of a patient's story is not told in a doctor’s office. This has resulted in disjointed solutions for high-acuity patients and missed opportunities to provide the best care. Story Health offers a new way of treating high morbidity conditions. It is more adaptable, faster to implement, and more effective for both patients and clinicians. Clinicians now have the tools to communicate with patients, manage complex data streams, and make changes to home treatment plans that can have serious consequences. Story Health provides personalized recommendations based upon a patient's story and a clinicians' practice patterns. It's easy to identify patients who need immediate intervention or therapy optimization by looking at patients in between visits.

WellAI for Medical Providers - The First Integrated AI Patient Engagement/Digital Front Doors Application with Front Office Optimization One of the first AI/Natural Language Processing Patient Engagement Platforms/Digital Front Door solutions. It offers configurable technology-enabled services that can be integrated with front office workflows, driving efficiency and real-time patient care. Why WellAI's solution: 1. The Digital Health Virtual Triage Assistant has an 83% accuracy rate compared to the 50%-77% accuracy of other'symptom checkers' 2. We offer built-in telehealth and can integrate existing telehealth solutions. This reduces cost and improves engagement 3. WellAI supports 'technology enabled service' in a configurable manner for patients and creates automation for healthcare's front-office workflow. 4. It can be configured in any way you like. 5. It can be integrated with many EMR solutions. 6. It allows practitioners to communicate with each other via email and text.

Lindy is the leading AI Medical Scribe for all practices. Lindy records, transcribes and instantly generates notes for patients, streamlining the completion in seconds. Lindy can be easily customized using our templates. Start with our pre-built template for common practices like Optometry. Psychiatry. Physiotherapy. Chiropractic Care and more. Lindy is committed to data security and adheres to all HIPAA regulations. She also maintains the highest privacy standards in healthcare. Lindy is not a traditional medical transcription app. It's a hands-free, precise charting tool that physicians use to document their patients. You can update your EMR in seconds and leave the clinic immediately after the last patient. Lindy is a versatile chart that increases accuracy by 80%.

Medgnosis, an innovative medical app, is designed to help radiologists interpret X-ray images. The application uses advanced machine learning algorithms in order to analyze and predict possible abnormalities within selected X-ray readings. This tool is a valuable tool that adds an extra layer of knowledge to the diagnostic process. Medgnosis, which uses deep learning and neural network training on large datasets, accurately identifies many conditions from X ray images. Its performance is comparable to or better than traditional methods. A system that is designed for continuous improvements keeps it at the forefront of diagnostic technology. Medgnosis produces comprehensive, instantly accessible diagnostic reports that combine detailed identification of health issues, severity assessments, as well as recommended next steps, into a clear and accessible format. This streamlined approach helps healthcare providers make informed decisions quickly.

AI products integrate seamlessly into your PACS or radiology workflow, allowing radiologists to automate tasks while providing efficient patient care. Radiologists are drowning because of the increasing demand for medical imaging in healthcare. This often leads to increased reporting errors, high workload, and a cluttered workflow. Radiologists can automate many of their repetitive tasks using AI. It also identifies standard measurements and allows them to generate high-quality reports that are evidence-based. This will allow referring doctors and physicians to make more confident decisions based on accurate data and a more intuitive workflow. Identify, characterize, and classify key elements with the highest accuracy. The images are loaded quickly and with no loss of quality. Smart suggestions are available in the template search. You can use pre-filled illustrative templates for your report or quickly customize them for standard clinical communication.

To integrate with your diabetes management platform, plug'n play API. Personalized therapeutic education. Improved understanding of BGL fluctuations. Real-time prediction to predict risks. This allows for greater personalization and better regulation. Manage complex phases of life with rapid glucose changes. Telemedicine & retrospective analysis. Decision-support for patients. Hillo is currently working on the next versions of its AI technology, a therapeutic recommendation system to anticipate and prevent hypoglycemia and hyperglycemia, whose CE mark class IIB is planned for 2020, and the new generation of artificial pancreas(AP) for 2021, which will help overcome the main limitations of current AP systems thanks to the ultra-personalization provided by machine learning. The CE mark class IIB medical device will be the first self-learning artificial intelligence to predict blood glucose levels.

You can instantly master and link data in real time to resolve patient identity. Life sciences organizations can transform protected health information into universal, deidentified HealthVerity IDs. This allows them to accurately build and share the patient's journey across multiple partner datasets while also creating a single source for patient identity. To better understand the patient journey across departments, enable internal enterprise data sharing. External data exchange is possible with patient registries and health insurers, as well as other companion companies. The first step towards a data strategy that is based on data activation, data interoperability, and patient longitudinality is HealthVerity Census. It uses a state of the art PaaS de-identification system to activate both internal and external touch points, and data that is isolated in silos throughout the enterprise.