Question: I need a system that can efficiently manage and standardize medical data, including unstructured data, for better decision-making.

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IMO Health

IMO Health has a suite of tools that transform and standardize clinical data across the health care industry. It's designed to improve clinical workflows with better documentation, more accurate problem lists and more complete data standardization. Point-of-care workflow management, data quality management and procedure documentation and coding are among its features. IMO Health's AI technology and broad medical vocabulary make it useful for health care providers, health insurance plans and life sciences companies.

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InterSystems

Another strong contender is InterSystems, a company that makes data management software for complex industries. InterSystems products include InterSystems on FHIR for accessing health care data, AI/ML for healthy data and Healthcare Interoperability for exchanging health data. Its products, including InterSystems IRIS and HealthShare, are designed to be interoperable, reliable and scalable, so health care organizations can manage and exchange health records more easily.

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Consensus

For turning unstructured documents into structured data, Consensus is a good option. It uses modern NLP and AI technology to extract insights that can help with patient care and health care decision-making. The company's platform includes tools like HIPAA-compliant digital cloud faxing, direct secure messaging and patient information query that reduce manual labor and improve operations. Consensus also handles regulatory compliance and secure data exchange.

Additional AI Projects

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MEDITECH

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Health Information Systems

Streamline healthcare workflows from documentation to code, improving revenue cycle and care quality.

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Abridge

Automatically generates structured clinical notes in real-time during conversations, freeing up clinicians' time to focus on patients.

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LifeOmic

Combines genomic, clinical, imaging, and population data to empower precision health decisions, streamlining workflows and improving patient outcomes.

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Metriport

Retrieves comprehensive patient medical records, including history, conditions, and medications, from major health information networks through a single API integration.

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Nanonets

Automate data extraction from unstructured sources, leveraging AI-driven workflows to extract, enrich, and validate information, freeing employees from repetitive tasks.

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NextGen Healthcare

Streamline ambulatory care with AI-powered tools, improving clinical and financial outcomes for providers.

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Veradigm

Aggregates and analyzes vast healthcare data, providing actionable insights to inform decisions and improve patient outcomes across the healthcare ecosystem.

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Qventus

Optimizes patient flow, automates processes, and predicts bottlenecks in electronic health record systems, freeing up capacity and increasing revenue.

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Validic

Connects a broad ecosystem of health devices and apps to provide actionable patient health data for informed clinical decisions and personalized care.

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Clair

Streamlines clinical research and decision-making with 90% faster search results, delivering ultra-accurate answers from authoritative sources with references.

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Medchat·ai

Automate healthcare workflows with a flexible, no-code Automation Studio, deploying AI agents to manage tasks, improve productivity, and enhance patient experience.

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Astrahealth

Automate clinical note writing with AI-powered solution, freeing time for patient-centered care.

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Verily

Accelerates clinical research and personalized care with AI-driven data, evidence, and software solutions, improving healthcare outcomes and decision-making across the ecosystem.

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Huma.AI

Unifies internal and external data sources, providing up-to-date, referenced insights for life sciences professionals to inform decision-making across medical affairs, clinical development, and regulatory affairs.

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IQVIA

Intelligent connections between data, expertise, and stakeholders drive results, enabling better decision-making and healthcare progress.

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Dataloop

Unify data, models, and workflows in one environment, automating pipelines and incorporating human feedback to accelerate AI application development and improve quality.

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Shelf

Converts raw, unstructured data into structured formats, enabling AI and machine learning models to make informed decisions with accurate information.

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Cloudera

Unifies and processes massive amounts of data from multiple sources, providing trusted insights and fueling AI model development across cloud and on-premises environments.

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UpToDate

Trusted expert editorial content from 7,400+ clinicians, editors, and reviewers informs care decisions.

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M-Files

Automates document workflows, adding essential metadata to files, enabling quick information discovery and efficient collaboration across multiple industries.