Hospitals face several challenges which can be addressed by a strong CDI Program.
Some of the challenges are captured below:
Incomplete (pending or improper) documentation (e.g. lack of code specificity and severity of illness) resulting in insufficient information for coding. This impacts quality of care and hospital revenues.
Improve DNFB (Discharge Not Final Billed) and CMI (Case Mix Index) metrics
Establish the CDI program and set up ongoing process to improve clinical documentation
Identify Coding Errors
With ezAudit, you can review cases to ensure that coding is being done in compliance with coding rules and official guidelines. Comprehensive search filters makes it easy to perform audit in areas identified such DRG targets, RAC goals, etc. You can easily compare the clinical documentation to the codes assigned and evaluate for compliant and efficient coding and complete documentation. ezAudit has built-in OIG (Office of the Inspector General) recommended sampling algorithm that ensures compliance with statutory auditing sampling guidelines.
ezDI™, a leading provider of Computer-Assisted Coding, Automated CDI, Speech Recognition solutions and clinical documentation services, has been ranked #1 in the Semantic Evaluation of Clinical Data (SemEval - Task 14-1) competition for year 2015.
Automated Data Collection & Prioritization
ezCDI makes things you do every day easier, better and faster. By abstracting clinical data concurrently and analyzing the health records for conflicting, incomplete or nonspecific provider documentation, ezCDI streamlines and strengthens your CDI process. Our proprietary CDI algorithm analyzes the documentation for the illness identified and creates the query if a specific documentation is not available. The CDI specialist validates the queries and sends it to the Physician for necessary approval.
Proprietary CDI Algorithm
With Integrated NLP, Semantic Web & Machine Learning
The queries are automatically generated by our proprietary CDI algorithm and sent to the CDI specialist for validation and approval before sending it to the Physician. Using the NLP and the ontology, the system looks for specific documentation based on the illness identified and it creates a query if specific documentation is not available. For example, duration of occurrence for Myocardial Infarction is not mentioned, For example, it will identify that the Duration of occurrence of Myocardial Infarction is not mentioned, Stage of Decubitus Ulcer not mentioned etc.
You know how to use it,
the moment you see it.
With it’s coder friendly interface, amazing features, and rock solid stability, ezCAC is designed to be simple and intuitive, yet incredibly powerful. It highlights key evidence and recommends appropriate diagnosis and procedure codes that coding staff can simply approve, reject or research with the integrated encoder. It aides in improving documentation, improving the revenue cycle, and most importantly contributes to improving the quality of care.
12806 Townepark Way Louisville, KY 40243, United States
We provide you the ability to organize, store and analyze ever-increasing quantities of medical data in near real time, and embed the results of the analytics directly into your clinical workflow,
We provide you meaningful and actionable medical data that you need fromvarious sources and bring them together to help you make better clinical decisions to improve overall patient care and reduce cost. We automate and streamline processes, eliminating labor-intensive tasks to reduce the overall administrative cost for data abstraction and reporting.
We provide a variety of solutions such as Clinical Document Improvement, Computer Assisted Coding, Compliance Auditing, to predictive and prescriptive analytics to population health, disease management, quality and performance measures, clinical registries, and more.
For additional information, please visit http://www.ezdi.us .