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Description
Seamless integration into the current architecture ensures that image data and documents are readily accessible for all colleagues involved in patient care, regardless of the applications in use. Patients can easily digitize their documents via their smartphones, which are then promptly saved in their electronic medical records. User login is simplified through the use of barcode or RFID technology on shared devices, while direct patient identification is facilitated by barcode scanning. The system incorporates automatic document recognition and perspective correction, along with an intuitive interface for any necessary manual adjustments. Optical Character Recognition (OCR) technology enables the automatic detection of text, making it easier to locate specific passages. Documents can be swiftly classified with the aid of a dynamic hit list, and they are automatically uploaded to the patient record through HL7-MDM messaging. To maximize the versatility of mobile photo documentation, the results are transmitted in mere seconds to the associated image archives and information systems connected to imito, ensuring a streamlined workflow that enhances efficiency in patient care. Additionally, this integration supports a more collaborative environment among healthcare professionals, ultimately leading to improved patient outcomes.
Description
TILDE (Term Independent Likelihood moDEl) serves as a framework for passage re-ranking and expansion, utilizing BERT to boost retrieval effectiveness by merging sparse term matching with advanced contextual representations. The initial version of TILDE calculates term weights across the full BERT vocabulary, which can result in significantly large index sizes. To optimize this, TILDEv2 offers a more streamlined method by determining term weights solely for words found in expanded passages, leading to indexes that are 99% smaller compared to those generated by the original TILDE. This increased efficiency is made possible by employing TILDE as a model for passage expansion, where passages are augmented with top-k terms (such as the top 200) to enhance their overall content. Additionally, it includes scripts that facilitate the indexing of collections, the re-ranking of BM25 results, and the training of models on datasets like MS MARCO, thereby providing a comprehensive toolkit for improving information retrieval tasks. Ultimately, TILDEv2 represents a significant advancement in managing and optimizing passage retrieval systems.
API Access
Has API
API Access
Has API
Integrations
Hugging Face
Python
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Imito
Founded
2016
Country
Germany
Website
imito.io/de/imitoscan
Vendor Details
Company Name
ielab
Country
United States
Website
github.com/ielab/TILDE/tree/main
Product Features
Document Management
Access Controls
Archiving & Retention
Collaboration Tools
Compliance Tracking
Document Archiving
Document Assembly
Document Capture
Document Conversion
Document Delivery
Document Indexing
Document Retention
Electronic Signature
Email Management
File Recovery
File Type Conversion
Forms Management
Full Text Search
Offline Access
Optical Character Recognition
Print Management
Version Control
