The Medicomp MEDCIN Engine

Quippe® — Built on MEDCIN

MEDCIN™ was built for a very specific purpose: To present relevant clinical concepts in less than a second for any of tens of thousands of diagnoses or patient presentations.

MEDCIN also contains more than 10 million mappings to terminologies and code sets including:

It is optimized for real-time use, is scalable and extremely efficient, and,
supports artificial intelligence and machine learning applications.

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Clinical Concepts
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Code Mapping
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Clinical Relevancy Links
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Knowledge Engineering

THE QUIPPE ADVANTAGE

Maximize the Value of Your Data

Medicomp’s Quippe is an all-in-one clinical intelligence engine that powers robust clinical data capabilities – while enabling clinicians to focus on their patients.

Clinical documentation that’s a tool, not a task

Elevate EHR usability and leverage AI to anticipate clinician train of thought. Quippe’s intelligent clinical workspace activates your clinical data to improve patient care.

Improve workflow efficiency

Most clinical documentation is fragmented, disruptive, and time-consuming. Systems tend to be one-way depositories of data, rather than two-way valuable tools that predict a clinician’s thought process and support rapid workflows. Quippe improves clinical workflows and documentation with intelligence, delivering a responsive, customizable user experience that enables more time for patient care.

  • Leverage clinical intelligence, dynamic rules, and responsive workflows to accommodate any scenario
  • Design faster, more intuitive documentation without coding or programming expertise
  • Capture data within the natural workflow, in any format – structured data, free text, images, and more
  • Improve coding accuracy and specificity

Streamline information at the point of care

In most EHRs, clinical documentation is slow and important data is hard to find. Quippe enables a unified view of problem-related information found throughout the chart and across domains, limiting cognitive overwhelm and disconnected data entry. Through clinically-connected concepts and structured data, Quippe brings valuable patient data to the clinician to support care during the encounter.

  • Provide a unified view of the patient’s symptoms, history, treatment, and trends
  • Highlight diagnostically-related concepts across domains and terminologies
  • Prompt relevant conditions for clinical decision support
  • Document encounters with natural language

Normalize natural language to standard terms

Unstructured data poses a barrier to interoperability, and creates difficulties for coding and billing. Translate clinical phrases and unstructured data to standard vocabularies and terminologies, and optimize coding for reimbursement without distracting from patient care. Quippe’s Clinical Intelligence Engine and advanced algorithms create value from unstructured data with a single API that uses intelligent NLP* to connect standard code sets across domains.

  • Make unstructured data usable for viewing patient status and trends, billing and reporting, and interoperability
  • Complete Clinical Quality Measures in the room with the patient
  • Focus more time on caring for patients

*Quippe integrates with clinical NLP tools, including Amazon Comprehend Medical and emTelligent, to streamline data capture. A separate license for a 3rd party NLP solution is required to enable this capability.

Quippe Advance Clinical Documentation

Improved Care Planning and Documentation

Quippe nursing is fast and simple and supports the creation of audit-compliant documentation. It enables the tracking of patient progress for episodic and longitudinal, multi-disciplinary care planning while minimizing the time required for documentation. Clinicians have more time for patient care and critical thinking and are empowered with high-quality care plans that are evidence-based and patient-specific.

Quippe creates structured data that supports advanced analytics and reporting needs, such as:

Productivity analysis

Team workload management

Quality review and compliance audit

Research

Population health programs