MIDAS: Decision Grade Data
Empower your AI workflows with MIDAS’s structured patient insights.
The latest tool for decision-makers.
By blending proprietary and tailored AI solutions, validated by our expert team, MIDAS transforms how you handle patient data for more informed, efficient decisions.
Accelerate AI applications with structured MIDAS data.
MIDAS is the industry’s first platform to extract, organize, and deliver structured patient information from image-based medical records.
Easily customized to enhance your workflows.
Like every ReleasePoint solution, our dedicated team tailors MIDAS to meet your exact process requirements.
Data Extraction
MIDAS consistently delivers DECISION GRADE structured data from unstructured medical information at Scale.
The key to the quality of MIDAS data is cognitive review, a crucial step in which trained data specialists evaluate, contextualize and supplement the information identified by the NLP automation, bringing speed and accuracy to the extracted medical data.
Image Received
A high-quality PDF of the patient’s medical history is supplied by the customer via API or through ReleasePoint’s Record Retrieval process. This PDF serves as the starting point for the MIDAS workflow.
Data from Image
MIDAS runs the medical record image through a multi-pass OCR process, generating a high-quality digital version of the original document.
Cognitive Curation
Technology alone can’t capture every nuance. Commercial NLP tools offer limited value when interpreting the wide range of formats found in image-based medical data.
Advanced AI
After curation, MIDAS leverages integrated workflows for advanced text analysis and data enrichment, incorporating Amazon Comprehend AI for deeper insights.
Delivery
Results are delivered via the MIDAS API in JSON format, ready for seamless integration with analytics platforms and other downstream technology solutions.
Data Gap
Many tech solutions exist, but they often lack the crucial context that makes structured medical data truly valuable.
Data without context cannot be relied upon to support research outcomes, underwriting and claims decisions, or disability determinations.
Even if an AI system flags “lung cancer,” it may not clarify whether the patient currently has it, had it in the past, or if it’s part of a family history.
A system might detect a date but can’t confirm whether it’s for a service visit, a separate appointment, or an intake procedure.
If “diabetes” is listed under “Chief Complaint,” the system might not determine whether the patient actually has the condition or if it’s a suspected diagnosis.
MIDAS adds vital context, providing actionable insights to help your organization move forward with accurate, reliable structured health data.
MIDAS Lens
In addition to delivering accurate, reliable, structured medical data, MIDAS transforms data collection and review with its Data Lens technology.
The MIDAS Lens unlocks advanced insights by providing custom identification, context, and keyword-based indexing. Key benefits include:
Underwriting
Identify key underwriting risk factors for a more complete and accurate view of each patient’s medical history.
Research
Quickly pinpoint conditions, medications, and diagnostics for large-scale data analysis, enabling easier access and review of critical medical information.
Disability
Highlight and identify underwriting risk factors, assuring a complete and accurate accounting of the patient’s medical history.
Legal
Locate critical conditions, medications, and details vital to case strategy, speeding up the identification of potential litigants and strengthening legal arguments.
Frequently Asked Questions
Why are humans used in data extraction and not just AI?
MIDAS is designed to produce “Decision Grade Data,” meaning the data delivered is of sufficient depth and quality that the original medical record image is no longer required to make decisions. Although AI has remarkable capabilities, the accuracy of AI-only data extraction is simply not sufficient to meet this standard. ReleasePoint engages a human review process that validates and annotates the individual data elements, delivering the depth and quality required for sophisticated decision making workflows.
How can I use the MIDAS Data?
End users can use MIDAS data through the MIDASight online web portal, which provides a real-time environment to engage with patient medical data. Users can also choose a sophisticated PDF abstract, which contains the extracted data from multiple providers in an efficient design, delivering a single document containing all relevant patient clinical data to reduce review time and improve accuracy.
Is there an API available to develop custom applications?
Yes, ReleasePoint supports a full API and developer sandbox. Users can submit records and download the extracted data and PDF abstracts, allowing for the construction of complex custom applications that take advantage of the industry’s only path to 100% data driven medical review. Underwriting workbench developers, claims automation developers and legal case management platforms can build AI enabled functionality based on the highest quality data available, ushering a new generation of automation and decision support solutions.
Can MIDAS integrate with my existing software?
Yes, MIDAS offers flexible integration options. It provides structured data in formats like JSON through our API, making it easy to connect with your current analytics platforms, EMR systems, or other business applications.
How quickly can MIDAS process large volumes of records?
MIDAS is designed for scalability. Through a combination of OCR, advanced AI, and trained reviewers, it can handle high volumes of records efficiently, ensuring a quick turnaround without compromising data quality.
Is MIDAS HIPAA-compliant?
Absolutely. ReleasePoint follows strict security and privacy protocols, including HIPAA compliance, to protect patient information. We implement encryption, user access controls, and continuous monitoring to ensure data integrity.
What types of medical documents can MIDAS handle?
MIDAS can process a wide range of document types, including physician notes, lab results, billing statements, and scanned PDF records. Our combination of AI and human review helps interpret even complex, handwritten texts.
How does ReleasePoint ensure accuracy in the extracted data?
We combine AI-driven extraction with human oversight. Our domain experts review the automated output to correct any discrepancies and add context, ensuring the final dataset is as precise and actionable as possible.
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