Artificial Medical Intelligence Announces EMscribe Computer Assisted Coding Software; Now with Clinical Document ImprovementMarch 28, 2013 No Comments
NEW ORLEANS–(BUSINESS WIRE)–Artificial Medical Intelligence (AMI) today announced that its Computer Assisted Coding (CAC) solution, EMscribe now has integrated Clinical Documentation Improvement (CDI).
AMI takes CDI to the next level by integrating more than 300 different quality measures that have been registered and approved into AMI’s Natural Language Processing CAC solution. The clinical documentation guidelines give hospital personnel the information they need to support documentation decisions regarding patient severity, acuity, and risk of mortality. EMscribe CDI provides tangible improvement outcomes through software monitoring, searchable data, user-defined reports and real time performance monitoring and clinical updates.
EMscribe CDI also integrates smoothly with quality initiatives such as The Physician Quality Reporting System, National Healthcare Safety Network, and Accountable Care Organizations. It allows users to flag customized diagnoses or procedures along with the real time status on physician and healthcare worker documentation updates. EMscribe CDI ultimately helps hospitals better reflect reimbursement services provided.
“Since January 2005, we have built a platform that provides usability and innovation for useable Natural Language Processing technology for all types of healthcare systems globally,” said Stuart Covit, COO of Artificial Medical Intelligence Inc. “By integrating CDI into the EMscribe CAC technology, we are delivering tremendous usability and a customizable process that supports the entire CDI team. In the last six months AMI has accelerated its product innovation efforts with its releases offering E & M, Robotic Computer Coding Automation and now CDI. AMI will continue to push our development efforts through our innovative approach that is well received in the industry.”
EMscribe CDI combines site specific and global best practices, evidence-based medicine, clinical case management, benchmark metrics and utilization review through its proprietary usage of Natural Language Processing business intelligence which is at the heart of the EMscribe core technology. Additionally, the CDI software is functionality designed to augment in-house or outsourced dedicated specialists assigned for clinical documentation improvement at or with remote access to healthcare sites.
Founded in 2002, Artificial Medical Intelligence is a healthcare informatics software developer focusing on increasing efficiency within Health Information Management. Its patent pending core solution, EMscribe, provides suggested coding and abstractions using Natural Language Processing for both the inpatient and outpatient encounter. EMscribe® is also now processing the E & M level with its next generation NLP algorithms for both the professional and facility based patient encounter. The innovative solutions are very adaptable and can automate certain patient record types with no coder input needed. The technology can also automatically abstract Principal and Admit Diagnoses. NLP is used to generate Present on Admission diagnoses, and Hospital Acquired Condition, as well as a variety of other patient values, thus making it the most comprehensive hospital tested HIM-Coding solution available. AMI’s solutions are targeted at hospital healthcare facilities, larger clinics and physician practices that are looking to automate process management and improve the processing of medical documents. The Powered by EMscribe® technology is available to partners and is sold directly to hospitals nationwide. The company is headquartered in Eatontown, New Jersey.
DATA and ANALYTICS , DIGITAL HEALTH