Resources
Press Releases
ezDI, Inc. has signed an agreement with Acurity to offer deeply discounted/preferred pricing for licensing ezDI’s CDI, CAC, and Coding Audit application to Acurity members.
ezDI™ Selected by Sonoma Valley Hospital to Implement Integrated Computer-Assisted Coding (ezCAC), ezEncoder and Coding Compliance and Analytics Tools
ezDI™ Selected by Cayuga Medical Center to Implement Integrated Clinical Documentation Improvement (ezCDI™), Computer-Assisted Coding (ezCAC™) Solution, Coding Compliance and Analytics Tools
ezDI announced today that it will provide Salina Regional Health Center with a fully integrated suite of cloud-based CAC and CDI software.
ezDI announced today that it will provide The University of Vermont Health Network – Champlain Valley Physicians Hospital (CVPH) with a fully integrated suite of coding workflow software.
ezDI proudly announced today that their ezCAC product has been instrumental in helping Auburn Community Hospital (ACH), a 99-bed hospital
ezDI proudly introduces the most powerful workflow management and optimization software in the CDI application market, ezCDI Essential
ezDI, Inc., a leading provider of Computer-Assisted Coding and Clinical Documentation Improvement technologies launches ezAssess™, the nextgen coding compliance audit solution.
A new report published by KLAS Research announced ezDI as a new CAC vendor on the scene for its computer-assisted coding (CAC) technology.
ezDI Inc., a leading provider of computer-assisted coding technologies launched ezCDI™, its clinical documentation improvement application at the 9th annual ACDIS Conference in Atlanta, Georgia on May 23, 2016.
Mediscribes, Inc. is pleased to announce that The University of Oklahoma Health Sciences Center, a leader in education, research and patient care, has selected Mediscribes as a medical transcription partner.
Case Studies
“It’s so nice to be able to have not just the template, but to be able to customize each query because that makes for a more compliant query so the ability to customize a query is just wonderful. I don’t know of any other system that does that. Also, being able to drag and drop clinical evidence from the chart over into our query is fantastic.” ~ Teresa Haslip, CDI Specialist
ezCAC product has been instrumental in helping Auburn Community Hospital (ACH), a 99-bed hospital southwest of Syracuse, New York, realize a $1.03MM financial impact
According to Rob Ren, “We are very happy with our decision to partner with ezDI and I can strongly recommend them, and I will gladly to speak to other hospitals, on behalf of ezDI and the ezCAC product!”
According to Amy Sanderson-DeRose, “The natural language processing was the most innovative and impressive of its kind. The engine reads the medical record clinical documentation and understands the terminology. It automates abstraction and assigns the correct ICD-10 procedure and diagnostic codes.”
“One of our customers saw its cashflow improve by more than $2 million in the first six months after using our SaaS solutions on AWS.” – Neil Shah – CIO, ezDI, Inc.
“Joan and I are very excited to go live with ezDI! The application has so
many amazing features that will benefit our CDI Program. Working with
the ezDI implementation team has been a great experience and he and his
team continue to make the necessary updates to make the application
work for our hospital” – Miranda Signor – Clinical Documentation Specialist at CMC
many amazing features that will benefit our CDI Program. Working with
the ezDI implementation team has been a great experience and he and his
team continue to make the necessary updates to make the application
work for our hospital” – Miranda Signor – Clinical Documentation Specialist at CMC
Fact Sheets
Integrated CDI workflow enhanced with Automation and Electronic Query Improved Clinical Documentation leading to better compliance and reimbursement. Deeper collaboration between CDI specialist, Physician, Coder, Audit, Compliance and Revenue Cycle Management
ezCAC is a one-of-a-kind revolutionary platform where CAC, CDI and Encoder function in perfect unison. Improve accuracy, efficiency & productivity with an enterprise-level, cloud-based CAC solution.
Ensure compliance. Perform comprehensive audit with ease.
Unlock the Hidden Value from your Healthcare Data. ezDI unveils the first and most powerful ezHealth Platform.
ezMediscribes delivers guaranteed Turn-Around-Time (TAT) and accuracy while ensuring seamless transition. We provide unique fixed cost model and capabilities to leverage your transcription data to positively impact your clinical documentation.
Mediscribes is a Nuance trained company with extensive experience with eScription™. Our Solution includes all eScription™ editing-administrative set up and management of the entire workflow.
Be prepared for the impact that ICD-10 will have on all job roles and ensure the appropriate level of training – AHIMA
An Innovative Health Informatics Platform that is Affordable & has a fully Integrated CAC, CDI & Audit solution. Our All-in-One HIM Workflow Solution comes with an extremely intuitive user interface, complete coding workflow automation, Highly accurate NLP outcome, Data Driven Risk Management & Enterprise-Level Collaborative Platform.
Integrated CDI workflow enhanced with Automation and Electronic Query Improved Clinical Documentation leading to better compliance and reimbursement. Deeper collaboration between CDI specialist, Physician, Coder, Audit, Compliance and Revenue Cycle Management
ezCAC is a one-of-a-kind revolutionary platform where CAC, CDI and Encoder function in perfect unison. Improve accuracy, efficiency & productivity with an enterprise-level, cloud-based CAC solution.
Ensure compliance. Perform comprehensive audit with ease.
ezMediscribes delivers guaranteed Turn-Around-Time (TAT) and accuracy while ensuring seamless transition. We provide unique fixed cost model and capabilities to leverage your transcription data to positively impact your clinical documentation.
Mediscribes is a Nuance trained company with extensive experience with eScription™. Our Solution includes all eScription™ editing-administrative set up and management of the entire workflow.
Unlock the Hidden Value from your Healthcare Data. ezDI unveils the first and most powerful ezHealth Platform.
White Papers
HIPAA Compliant Cloud Solution : Technical Safeguards, Disaster Recovery and Over the Air Updates
Automate coding to off-set potential Productivity and Revenue Losses
Comparison among the web browsers on the basis of commonly used testing method
Research Papers
In clinical NLP (Natural Language Processing), Knowledge extraction is a very important task to develop a highly accurate information retrieval system. The various approaches used to develop such systems include a rule-based approach, a statistical approach, shortest path algorithm, or a hybrid of these approaches. Read ezDI’s research paper to learn more about the “Ontological Approach for Knowledge Extraction from Clinical Documents”.
In this paper, we describe our methodology of curating the UMLS metathesaurus to create a centralized knowledge base that can be used as a knowledge base for a variety of clinical NLP systems. We have also developed a process of updating the curated centralized knowledge base with a newer version of UMLS such that there is no need to repeat the whole process.
In this paper, we have described in detail the annotation guidelines, annotation process and our approaches in creating a CER (clinical entity recognition) corpus of 5,160 clinical documents from forty different clinical specialties. Published at the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP-2018), pp. 2033-2042. 2018.
In this paper, we present an efficient relation extraction system based on the shortest dependency path (SDP) generated from the dependency parsed tree of the sentence. It will be published at @ICON 2018.
Complete and accurate clinical documentation in the medical record has a direct impact on the assignment of codes, more accurate levels of reimbursement, and is critical to the higher quality of patient care. This paper describes the development of a system which can automatically flag the cases if there is an opportunity for improvement in patient clinical documents.
This paper presents a treebank for the healthcare domain developed at ezDI. It was published at the Joint Workshop on Linguistic Annotation, Multiword Expressions and Constructions (LAW-MWE-CxG-2018).
Data Driven Knowledge Acquisition Method for Domain Knowledge Enrichment. This research paper was published in 2012 IEEE International Conference on Bioinformatics and Biomedicine.
Why NLP Engines Fall Short and Where Background Knowledge Can Help
Semantics Driven Approach for Knowledge Acquisition from EMRs
CRF-based Clinical Named Entity Recognition using clinical NLP Features
Annotating a Large Representative Corpus of Clinical Notes for Parts of Speech
ezDI: A Supervised NLP System for Clinical Narrative Analysis
This research paper was published at The 8th International Workshop on Semantic Evaluation (SemEval 2014), pp. 278-283. 2014.