Alternatives to Lumiata

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.

Machine learning can provide insightful text analysis that extracts, analyses, and stores text. AutoML allows you to create high-quality custom machine learning models without writing a single line. Natural Language API allows you to apply natural language understanding (NLU). To identify and label fields in a document, such as emails and chats, use entity analysis. Next, perform sentiment analysis to understand customer opinions and find UX and product insights. Natural Language with speech to text API extracts insights form audio. Vision API provides optical character recognition (OCR), which can be used to scan scanned documents. Translation API can understand sentiments in multiple languages. You can use custom entity extraction to identify domain-specific entities in documents. Many of these entities don't appear within standard language models. This allows you to save time and money by not having to do manual analysis. You can create your own machine learning custom models that can classify, extract and detect sentiment.

Healthcare needs can change quickly. Healthcare facilities must be able to adapt and respond quickly. Care.ai Smart Care Facility Opera Platform transforms healthcare facilities with AI-enabled automation. It improves healthcare processes, saves valuable times, reduces costs, and eases the burdens on care team members so they can concentrate on providing the best possible patient care. The care facility is monitored by a neural network of sensors that continuously learns from patient behaviors. The care facility becomes more intelligent and self-aware by collecting behavioral data over time. This allows it to automate many tedious tasks. Process improvements and optimization can be achieved by utilizing real-time operational and clinical insights into behavior and conditions.

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

Our secure connected healthcare platform allows you to activate and unify all your data. Powered by APIs and data integration capabilities. Also, a suite platform services and interoperable toolkits to enhance your existing applications. To build a connected platform for health, activate all your data now. DataMedx creates a Health Data Mesh for your organization. This is powered by APIs and data integration capabilities. There are also a suite platform services and interoperable toolkits that can be used to enhance existing applications and care delivery workflows. DataMedx normalizes and aggregates data from all sources (claims, clinical, labs, sensors, etc.). DataMedx aggregates and normalizes data from all your data sources (claims, clinical, labs, sensors etc.) and combines them into a single patient record. A single data visualization layer allows for the access to complete populations from multiple applications. This results in better patient outcomes and operational excellence.

Waveform AI is a powerful tool that can improve the healthcare system in many ways. We are building a platform to provide clinicians with valuable information and support throughout the care continuum. It takes a village to transform healthcare. We are publishing peer-reviewed AI research to show how AI can benefit every step of the patient's care journey. Providers can help identify patients at high risk of sleep apnea by using data from EMRs, waveforms and wearables. Refer patients to a specialist for diagnosis. Providers can use data to identify the most important patients in the vast undiagnosed population. Patients can be stratified by risk and cost. By optimizing the quality, cost, efficiency, and speed of sleep apnea diagnosis, clinicians can help patients get through the diagnostic process.

Cloud analytics and data science technologies are used to analyze healthcare data and create new AI applications. Develop evidence-based care models, and learn how to improve the patient experience and clinician satisfaction. Reduce healthcare costs and improve the health of the population. Oracle Autonomous Data Warehouse (or cloud data warehouse) eliminates the complexity of managing a data warehouse, developing data-driven apps, and maintaining security and database management. With a seamless integrated set of data preparation, data ingestion, and machine learning (ML), you can store, manage, and use your data quickly. Your insights can be used to create evidence-based care models and precision medicine models. Give executives, analysts, IT staff and other staff the ability to access business intelligence wherever they are, at home or at work. Automated data preparation and built in ML can jump-start your analysis.

We combine clinical and experimental data with machine learning to improve precision medicine and navigate human disease biology. Contingent AI™, a patent-pending technology, understands data relationships to provide sophisticated insights. We tackle data bias by iterating upon machine learning models that are based on decisions made during the feature engineering and pre-processing stages. We use zebrafish, cell, and other phenotypic animals models to validate in-silico predictions in in vivo experiments. We also genetically modify them in vitro to improve translation. We quickly incorporate new data into machine learning models by using active learning and computer vision on validated models of cardiac, central nervous system, and rare disorders.

Our AI-driven technology transforms healthcare data from both structured and unstructured into a reliable, high-quality, standard dataset that can be used throughout your organization. It is the industry's best. Our products and services allow you to access data in near real time from disparate systems. This allows your administrative and clinical team to reclaim that time for quality and research. Our products and services can be used to collect, analyze and act on data regardless of its source, therapeutic area, organization department, or existing reporting or BI tools. Atlas combines human expertise with the power of AI to automate the time-consuming task of finding and understanding patient data for clinical registers. Cartographer analyzes, interprets, and interprets patient information across all platforms. He also standardizes the data and makes data recommendations.

Wayfinder is a SaaS platform that unifies data, analytics and AI workloads to create an ecosystem for the healthcare and Life Sciences industries. It accelerates time to insight. Wayfinder helps healthcare data to be analyzed more quickly. Wayfinder, built on the Databricks Lakehouse Platform, provides access to over 45 Terabytes de-identified and remastered claims data, and meets the unique processing and data needs of the life sciences and healthcare industries at scale. Wayfinder allows you to analyze high-quality claims data in order to identify rare patients and target providers. You can also build comprehensive patient journeys and identify market trends. Wayfinder is a big data infrastructure that allows you to stop preparing data and manage it and start analyzing.

Lightbeam enables population health by transforming insights in outcomes. Close care gaps and minimize risks. Improving the quality of care and the quality of life. Lightbeam's population health management platform transforms disparate patient data into a 360-degree picture of the patient, bringing real value to value-based healthcare. In today's model of value-based healthcare, managing risk starts and ends with data analytics. Lightbeam’s population health management platform combines patient data in new and innovative ways, unlocking value from the deployment of the right data at the right place and time. Lightbeam doesn't just transform the way our clients manage value based care. It has been a game changer for our clients, saving them over 2 billion dollars in savings since 2014, and we're only just getting started. Lightbeam's approach to tech-enabled service seamlessly supports these efforts.

Traditional evidence generation methods are expensive, complex, and take too long to generate. This prevents agile research and the wider utilization of authentic patient insights in treatment development and commercial pipelines. Our HyperStream is the largest real-time data stream of patient experience on earth. It records the real-world digital history and symptoms of diseases as they are shared online by authentic patients. Pharos, a web-based evidence generator tool and research framework, uses its integrated data streaming technology and AI capabilities to efficiently capture online patients experience data and enables teams and individuals to quickly find evidence when they need it. The Pharos Suite has been successfully used to generate evidence and patient insight in multiple therapeutic areas and diseases.

DARA is based on medical science and explainable system biology and enables and enhances clinical intervention guidance and decision support. We collaborate with healthcare providers and stakeholders to offer digital solutions that transform chronic disease management and health screening. Through clinical workflow automation and predictive analysis, we enable digital transformation in care delivery. Our solutions are based on best practices and gold standard clinical guidelines. We enable physicians to better engage with patients by providing actionable health insight through personalized disease risk and adverse events predictions. We help pharmaceutical development by uncovering pharmacodynamics within complex biological processes and finding novel therapeutic interventions. Predictive analytics based on multidimensional patient data will allow personalized precision medicine to manage cardiometabolic diseases and prevent catastrophic patient outcomes.

The revolutionary Soliton®, AI, empowers healthcare. Soliton®, built on 30,000 machine learning and evidence-based rules, automates your healthcare and care management tasks. Soliton®, gives you the edge in the value-based healthcare world with unmatched capabilities. Analyzes large amounts of patient data in real time to improve clinical and financial performance. Multiple APMs supported. Telehealth adds value by predicting billable codes during patient encounters. Multiple risk stratification models can help you predict future healthcare costs for your patients. Real-time clinical decision support that helps you manage complex patient populations. AI-enhanced care coordination streamlines the patient journey and care, from the acute to post-acute environments. Identify care gaps, code and service opportunities, generate patient-specific assessments and personalized care plans and build custom cohorts.

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.

Specific recommendations for each stage of the patient journey across the continuum. Clear call to action to monitor and enable detailed clinical and commercial outcomes. Implementation of disease-specific risk algorithms for diabetes, cardiovascular, kidney, liver, and other therapies. To assess the risk of inpatient interventions, complete wellness score. Protocols and proprietary data backed customer-friendly clinical material. Ready to use and customize multi-format and multipurpose content. Intelligent decision support - powered both by protocols and machine learning on prescribers prescription patterns. The most advanced customer feedback system specifically designed for healthcare companies. Multi-parameter engine base spend, timely compliance and preventive checkup. Also, demographics, clinical parameter/outcome improvement, and demographics.

SquareML is an advanced machine learning platform that does not require any coding. It was designed to make predictive modeling and advanced data analytics more accessible to everyone, especially in the healthcare industry. It allows users to harness machine-learning capabilities without extensive coding expertise, regardless of their technical expertise. The platform is specialized in data ingestion, including electronic health records and claims databases. It also includes medical devices and health information exchanges. The platform's key features include a data science lifecycle that requires no coding, generative AI for healthcare, unstructured conversion of data, diverse machine learning algorithms for predicting disease progression and patient outcomes, a library with pre-built models, and seamless integration to various healthcare data sources. SquareML's AI-powered insights are designed to streamline data processes, improve diagnostic accuracy, and improve the outcomes of patient care.

Healthcare organizations (including hospitals, clinics, and health plans) can now connect with app developers and data partners to create new FHIR-based digital services. Ensure safer and more efficient transitions across the continuum between in-patient and outpatient care. At-risk patients can be provided with targeted prevention and wellness guidance. To effectively manage chronic conditions, encourage collaboration between healthcare providers, patients, and physicians. Improve management of chronic conditions. Provide patient-centric digital services. Reduce risks during care transitions. Secure, manage, and scale APIs using an enterprise-grade platform, which is FHIR-server neutral. Access healthcare data from FHIR-ready partners, whether they are internal, external, open-source, or both. You can quickly launch digital services such as new mobile apps to fulfill the promise of patient-centric care and data interoperability.

Amazon Comprehend medical allows for easy searching and querying of unstructured data. Amazon Athena queries and Amazon SageMaker models combined with Amazon QuickSight analytics can be used to make predictions about health data. Support interoperable standards, such as Fast Healthcare Interoperability Resources. Cloud-based medical imaging applications can be used to increase scale and lower costs. AWS HealthLake, a HIPAA eligible service, offers healthcare and life sciences organizations a chronological view on individual or patient health data to query and analyze at scale. Advanced analytics tools and machine learning models can be used to analyze population health trends, predict outcome, and manage costs. With a longitudinal view on patient journeys, identify opportunities to close gaps in the care and deliver targeted intervention. Apply advanced analytics and machine learning to newly structured data in order to optimize appointment scheduling and to reduce unnecessary procedures.

Meet Liine, an AI-powered platform that simplifies the process of acquiring new patients for healthcare practices. Run your healthcare practice like a healthcare business. All phone and online inquires can be captured in one intuitive platform. Respond to interested leads within minutes, not days or hours. Instantly convert website form submissions to inbound calls. All your marketing and patient acquisition metrics automatically captured. Stop wondering why your practice is growing. With the clarity and conviction that comes from data, you can manage front-line operations. To improve patient experience and conversion rates, implement patient-centric phone messaging. To praise top performers, you can use individual performance metrics. Recognize staff members who book more patient appointments. The scheduling of relevant new patient opportunities is 76% easier for practices.

Watson Health is able to support digital transformations of our clients because of its core strengths, industry experience in healthcare, advanced technology solutions, including AI, blockchain, data and analytics, as well as our reputation for trust, security, and our core strengths. We help organizations become more efficient, resilient, and robust institutions that can fulfill their mission to their communities. Watson Health solutions help optimize clinical, financial, and operational performance. Watson Health solutions can be used to improve programs for vulnerable populations and apply analytics. Watson Health solutions can help you improve clinical trials and produce real-world evidence. Watson Health solutions help payers manage members, performance, and business networks. Watson Health solutions for benefits analytics, engagement, and business continuity.

The Innovaccer Health Cloud will accelerate your transformation. You can unify patient data, create comprehensive financial and clinical insights, and innovate faster. We help providers integrate disparate patient information to provide actionable insights at point of care, collaborate across care teams and achieve better outcomes. We facilitate connectivity and collaboration among payers, providers, members, and members to manage risk and compliance as well as rising member expectations. We assist medtech and biopharma companies to build digital solutions at the intersection of healthcare and better use real-world data throughout the value chain. Transform from silos to an open platform that unifies healthcare data into one longitudinal patient record that allows for whole-person care.

Physicians shouldn't have to deal with unorganized patient data. Our intuitive and simple platform organizes complex cases in a way that makes it easy to provide proactive care and rapid assessment. It provides a concise, relevant and contextually relevant summary of the clinical information. Navina integrates seamlessly with your EHR, including claims data, patient information, as well as patient information. This point-of-care synthesis improves the quality and reimbursement. It is very easy to lose critical information in an EHR. Navina uses AI to surface this information and presents it intuitively and instantly. We also use data to suggest diagnoses and make other clinical recommendations based upon what is hidden in test results, discharge reports, or other documentation.

Medius' multicloud artificial intelligence platform can unlock its full potential to provide greater than 90% accuracy and coverage for various health intelligence and risk predictions with just a few variables. Medius' multicloud artificial intelligence platform, which only requires a few health data coordinates, aggregates and mines large datasets to generate all relevant health risk or underwriting insights in seconds. This platform can assist payers and providers with their life and health needs assessments, distribution, cost optimization, and operations efficiency. Medius' UW Studio™, a complete underwriting platform, is the result of an AI revolution that has fundamentally changed the insurance landscape. Multiple science-based underwriting ensembles are used to address both business and technical requirements. They reproduce humanistic deductive reasoning with clinical accuracy.

It is possible to quickly diagnose cancer accurately and affordably. One in three people will develop cancer during their lifetime. Cancer diagnosis can be slow and costly because doctors don't have the latest automated tools. Qritive is an AI-powered tool that allows doctors to analyse both microscopy images as well as text from patient data. Hospitals will be able to diagnose cancer more efficiently and save money by using Qritive. Pantheon, a CE-marked vendor-agnostic digital platform for pathology, enables digitization and rich report generation, and allows for AI analysis of whole-slide images. It can distinguish between benign and malignancies in breast tissue.

ZEVAC, an AI-powered software that empowers prescribers and ASP members, can optimize hospital antimicrobial use. Antibiotic resistance is one the most pressing public health issues of our time. ZEVAC is an AI-powered Next-Gen AMS program that helps hospitals stop unnecessary or inappropriate antibiotic use. ZEVAC's unique but very scientific approach to fighting AMR growth is unorthodox. ZEVAC's highly accurate and personalized predictions of antibiotic susceptibility can help clinicians choose the best empiric antibiotic therapy. They are based on information such as patient demographics, hospital prevalence, susceptibility patterns, and historical culture. ZEVAC's AI-driven insights can help your ASP members take proactive steps to avoid inappropriate antimicrobial use. These insights are based on real-time hospital-wide clinical data analysis.

Milliman MedInsight® was founded in 1998 and is a leading provider for healthcare data and analytics. Over 300 payers/ACOs/employers and government agencies trust Milliman MedInsight. Our comprehensive suites of analytics and data enable organizations to leverage healthcare information for better clinical and financial outcomes. We deliver actionable insights on healthcare utilization, costs and quality using our deep industry expertise and advanced technologies. Milliman MedInsight empowers stakeholders with the tools they need to navigate the healthcare landscape, from risk management to value-based care.

Imagine what care management could look like. A mission-driven data platform powered with AI can reduce the cost of healthcare, reduce admissions and readmissions, increase star ratings and HEDIS measurement, and improve quality and outcomes. Health EM.AI is a new way to improve healthcare delivery and manage care. We simplify patient data at all points of care and use AI/ML-based predictive analysis to empower healthcare organizations with actionable insight to improve the quality of their care. Measurable impact at the patient level with palliative care management workflows. Unified 360 data from all points of care can have an impact on STAR and risk adjustment, closing gaps, and other measures. Localized healthcare models that analyze more then 1,000 clinical and non-clinical characteristics based on geography.

Sift simplifies healthcare payments by integrating actionable information into revenue cycle workflows. This helps healthcare organizations optimize payment outcomes and reduce costs to collect. Sift provides healthcare providers with actionable intelligence to help them protect their receivables, and increase cash flow. Sift records patient financial information and insurance claims into a HIPAA compliant, cloud-based, and normalized database. This provides a single source for truth around your healthcare payments. Sift bridges the gap between an EHR, clearinghouse and workflow tools of a provider and a patient engagement platform. Sift unites the data points from all systems to create a unique data set and provide holistic payment oversight. Sift combines multiple data science techniques to provide comprehensive and integrated recommendations for payer assessment, denial management, patient collection, and patient acquisition.

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.

Real-time, accurate, and reliable data are key to value-driven care. Minerva Healthcare Data Platform allows you to combine clinical and claims data from different systems into one FHIR®. Minerva, which is natively based on FHIR® and vendor-neutral aggregates data from your care delivery network - in multiple formats and systems - to power your data exchange and accelerate data analytics, and comply with Cures Act regulations. Minerva provides ready-to-use connectors for quickly ingesting data from disparate claims and clinical sources. Use the available healthcare standards and custom data formats for data import in real-time, or in batches. To create a single view of your patient's data, integrate data from your payers and your clinical network.

Amazon Comprehend is a HIPAA-eligible, natural language processing (NLP), service that uses machine-learning to extract health data form medical text. No machine learning experience is necessary. Today, a lot of health data is found in free-form medical texts like doctor's notes, clinical trials reports, and patient records. Manually extracting data can be time-consuming and automated rule-based attempts at extracting data won't capture the whole story because they don't take context into consideration. The data is not usable for large-scale analytics that will help improve the healthcare and life sciences industry, patient outcomes, and increase efficiencies.

The Qventus platform offers more than just point solutions and ad-hoc process initiatives. It provides a comprehensive suite of technologies that can be used to drive continuous operational improvement. It integrates with your existing infrastructure, and provides all the technologies necessary to create a closed-loop management system. Qventus is the first closed-loop, comprehensive system for managing healthcare operations. Management requires the ability to predict and identify issues in the future, the past, and the present. You will need to integrate with EHRs, other systems, advanced data analytics, AI, machine learning, and situational awareness capabilities to have real-time visibility at all levels of the organization. However, identifying problems is not enough. You must also be able and willing to assist frontline teams.

The Talix platform powers intelligent workflow apps that allow risk-bearing healthcare organisations to thrive in the age value-based care. Intelligent underlying technologies are required to enable our workflow solutions for payers as well as providers to work together at scale. The Talix Platform was designed to meet the needs of thousands of users, from any part of the world. Our platform architecture allows for multiple SaaS applications to take advantage of the efficiencies gained from processing millions of encounter data and patient charts. The Talix Platform is made up of many technology components that are intricately connected to provide software applications at scale for healthcare payers. These components are the foundation of artificial intelligence (AI).

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.

Intus Care, a healthcare analytics platform, synthesizes healthcare data to identify risk, visualize trends and optimize care. It can be set up in as little as six weeks to help you lead your organization. Intus Care empowers healthcare providers to reduce high-risk events, and provides executives with the tools to make informed data-based decisions. Our ICS specialists will work with your leadership and staff to improve the outcomes of your PACE program for participants and organizations. Intus Care is a team that cares about people. We are driven by the care needs of all people, patients and their families. Our mission is to drive data-driven change to improve the quality of multidisciplinary, high-value care for older adults. Patients are at risk of hospitalizations, readmissions and the onset chronic diseases. Early detection of patient risk can reduce overall expenditures. Organizational performance through trend analysis, best practice identification.

We help hospitals, payers, and life science companies to make the leap to value-based healthcare by comparing treatments, drug prices, processes, and costs. Our CRCA™, P&T platform empowers P&T boards to achieve data-driven improvements in quality metrics such as 30-day readmissions and average length of stay (ALOS). Our unique POPBUILDER Rx™ solution allows for comparative analyses between selected cohorts as well as CRCA's real world data index of more than 140MM longitudinal patient records. Our drug remittance dashboard analyses and reports drug remittance information across payer types and for targeted groups of high-cost drugs, down to the NDC. Our Agilum Healthcare Intelligence team and insightful analytics help hospital finance departments monitor and improve their service line profitability, profitability, productivity, revenue cycle performance, and costing.

This scalable business intelligence tool provides insight into the business operations, sales, inventory, and other aspects of pharmacy and healthcare organizations. An intuitive, web-based tool that allows you to query multiple data sources. Innovative technology makes it possible to perform large queries in minutes, rather than hours. You can simultaneously perform back-end ETL (extract transform, load) as well as front-end analytics without interrupting either process. Continuous development and scalable processing power allow you to grow with your business and meet your computing needs. Strategy, expertise, and leading with example are key to ensuring universal e-payment adoption by healthcare payers. Learn how dialysis centers, and other renal care providers, can optimize their revenue cycle to ensure financial stability. Find out the hard facts behind a strong business case to move members to digital communications.

EZDI is Acquired by AGS Health Company. Our revenue cycle management platform allows businesses of all sizes, large and small, to access our APIs and revenue cycle management platform to gain insights from their healthcare data. A platform that integrates medical coding and clinical documentation. Fully integrated platform that allows you to increase documentation and coding specialist productivity by upto 45%. It also increases revenue through improved case mix and risk scoring. Modern clinical APIs that seamlessly integrate into your infrastructure. To provide cutting-edge accuracy, we have been trained on more than 7,000,000 real clinical documents. We use millions of knowledge graph records, deep-learning, and machine learning to provide clear code suggestions and query suggestions. We are ready to lead the next wave in AI in healthcare. Built for coders, documentation specialists to work smarter, faster and more efficiently from the beginning. Our Deep Learning NLP models help the most brilliant minds in healthcare navigate a seaof data with confidence.

Atropos Health offers real-time evidence based on real-world data, to help close gaps in evidence in healthcare and life science. Proven to improve clinical outcomes, accelerate the research process, and increase operational efficiency. Atropos Health transforms medical data quickly into real-world proof, closing gaps in evidence in medicine and accelerating research from months to mere minutes. Our core solution is an operating system for accelerating generative evidence. We can install medical data securely and structure it to be used downstream. Our powerful analytics tools are available to generate evidence when needed. It can be used to generate evidence on demand with our powerful analytics tools. Join Atropos Health in partnering with top health systems and companies to accelerate research, optimize trials, inform clinical decision, address care variations, and more.

Glassbeam is a cloud-based data analytics platform serving providers, OEMs, and ISOs in the healthcare industry by providing business intelligence to maximize the uptime, utilization, and lifecycle costs of connected medical assets, such as MR, CT, and X-ray. Glassbeam’s suite of solutions leverages machine learning to deliver vendor-agnostic and multi-modality predictive and prescriptive observations, allowing executives and staff to monitor KPIs and optimize operations across the enterprise. Glassbeam's Service Analytics provides insights into the working of a device, issues reported by the device, anomalies in its metrics, and identifies impending part failures to increase machine uptime. Service Analytics is an Artificial Intelligence (AI) based solution that utilizes data analytics to optimize the machine uptime of high-end imaging equipment. Glassbeam's Utilization Analytics provides in-depth insights into the operations of the Imaging department by combining logs, DICOM, HL7, RIS, EMR, and billing and scheduling data. The solution provides better data visibility and analysis, allowing Imaging teams to optimize workflow, increase performance, and make more informed decisions.

Jvion goes beyond traditional predictive analysis by identifying hidden patient risks across various diseases and clinical events. If that risk trajectory can change towards a positive outcome, Jvion will. Our prescriptive AI recommends the best action for each patient, taking into consideration clinical, socioeconomic, and behavioral data. This is in addition to clinically-validated best practice recommendations. Healthcare organizations can use this intelligence to improve patient experience, quality, and cost. To uncover hidden financial and health risks, analyze clinical, socioeconomic and behavioral data. To develop action plans, evaluate modifiable patients and their unique characteristics. In existing workflows, provide evidence-based, prioritized, patient-specific recommendations.

Monsenso's digital health solution connects patients and doctors to provide the best care. Monsenso's digital health solution transforms the way individuals with mental health issues are treated by gathering their health data and sharing it with their doctor. The patient app allows patients to collect self-reported data, and gives them tools to improve their daily lives. Monsenso's app for individuals can increase awareness and help you learn more about your symptoms. This will support you and your doctor in the treatment process. The app allows you to take an active role in your care and empowers you to manage your mental health between visits with healthcare professionals.

We are passionate about improving your health and wellbeing using a data-driven, predictive approach with a human touch. We listen and understand. We analyze and understand. SPH Analytics has over three decades of experience in healthcare survey administration and market-leading analytical solutions. We have the expertise and experience to manage your entire survey administration process and empower you with our advanced survey analytics to take targeted action. SPH uses sophisticated statistical methods such as bootstrapping, Bayesian analysis, Bayesian analyses and neural networks to create insightful analytics that provide insight into member experience. Engaging with patients and their members in a targeted, personalized way is the best way for them to encourage healthy behaviors and provide education that sticks.

Actium's AI-driven next-best actions and digital marketing tools are designed to meet your company's most pressing requirements. These include improving retention, managing high-risk patients, and driving service-line growth. Actium's proactive, hyperpersonalized outreach increases lifetime value, closes gaps in care, and lowers the total cost of care. Actium accurately predicts individual patient risks and helps your organization shift from treating to prevention. Your highest-risk patients can be identified and influenced to increase revenue and service-line growth. Actium Health is your solution to data overload. We identify, prioritize, and initiate clear next steps for each patient. Hyper-relevant outreach can reverse declining patient loyalty and maximize patient value. With world-class support from the most respected data intelligence experts, your success is guaranteed.

We collect patient data in order to provide you with the best resource for understanding patient behaviours and needs. Our platform, PharmDash, allows us to group information in an easy-to-use interface that can be filtered to provide instant cross-sectional views for your targeted patients. Get insight into who is most in need of your treatments and where your pharmaceutical presence should be. Our machine learning analytics can also help you predict which patient segments will need your treatment options in the future. Prospection helps you forecast your resource expenditure and keep up to date with emerging trends in the pharma market. Prospection helps you identify the right patients at the right moment. Historical data can give you an advantage in locating your demographics and provide evidence to support the linkage of patients to treatment options.

This machine learning monitoring tool allows you to easily monitor and troubleshoot large model volumes. Data scientists can avoid false alarms and dead ends by using an unrivaled explainability accuracy and unique analyses that aren't available anywhere else. This allows them to quickly and effectively address critical problems. So that your business runs at its best, machine learning models are optimized. TruEra's explainability engine is the result of years of dedicated research and development. It is significantly more accurate that current tools. TruEra's enterprise-class AI explainability tech is unrivalled. The core diagnostic engine is built on six years of research by Carnegie Mellon University. It outperforms all competitors. The platform performs sophisticated sensitivity analyses quickly, allowing data scientists, business users, risk and compliance teams to understand how and why a model makes predictions.

Interpreta's Clinical Action has been the single platform for in year quality and risk intervention since 2015. It is NCQA certified in HEDIS, California IHA AMP and HEDIS. Clinical Action utilizes HEDIS, state-specific and HCC formulations to provide a large collection of quality and risk measures that can be accessed directly or integrated with provider groups and health plan ecosystems. Clinical Action automates the processing of structured medical, pharmacy, and lab claims data. It also provides an unstructured environment for code capture and integration using artificial intelligence and machine-learning (natural language processing). Clinical Action's customizable population capability enables care gap analytics from a complete population health view down through the single member for in office physician preparation.

Pulse is a cloud-based platform that allows echo labs to save time and improve the outcomes for their patients. Pulse is a cloud-based echocardiography reporting and storage solution. Access the information of your patients whenever and wherever you need it. Physicians can access their patients' information from almost anywhere. All you need to run an echocardiography lab. An elegant and powerful reporting interface that displays your images and measurements right alongside them. Fully automated, AI-powered GLS, LVEDV, LVESV, and LVEF measurements without ever having a button to press. Cloud-native software offers all the benefits that cloud-native software has to offer. You can send finalized reports directly from your EHR via HL7 to streamline your clinical workflow. You can either store new studies directly in the cart or retrieve them from an external PACS. Easy VPN management is made easier by the built-in support of DICOM-TLS.

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.