Artificial Intelligence Technology:
The theory and development of computer systems able to perform tasks that normally require human intelligence, such as visual perception, speech recognition, decision making, and translation between languages.
The beginnings of modern AI can be traced to classical philosophers’ attempts to describe human thinking as a symbolic system. But the field of AI wasn’t formally founded until 1956, at a conference at Dartmouth College, in Hanover, New Hampshire, where the term “artificial intelligence” was coined.
When AI researchers first began to aim for the goal of artificial intelligence, a main interest was human reasoning. The specific functions that are programmed to a computer may be able to account for many of the requirements that allow it to match human intelligence.
EMscribe® AI Technology Deployed:
Artificial Medical Intelligence uses a diverse collection of AI components in its EMscribe® Solution Suite to automate many tasks that would normally require human capital. This technology has expanded and significantly evolved since its inception. Initially targeting the manual medical coding process, AMI’s Artificial Intelligence technology utilizes human language to process ICD10, CPT, HCPCS, SNOMED or any other coding system from free text for the patient encounter. AMI deploys a rules based proprietary methodology which allows it to effectively address large bodies of knowledge such as medicine.
Beyond medical coding, AMI’s Artificial Intelligence and Robotic Process Automation technology can be deployed as a single platform to automate a number of otherwise manual human functions such as Clinical Documentation Improvement (CDI), Quality Indicator abstractions, Clinical Research, as well as Clinical Decision Support, generating Problem Lists for physicians at the point of care as well as automating Medication Lists and Reconciliation. Using Robotic Process Automation (RPA) for these tasks can save facilities a significant amount of time and money.
EMscribe’s AI and RPA technology allows for many different use cases once medical terminology and its slang are captured. AI can be used to largely automate the process of reviewing large bodies of medical records and pulling out critical information in order to make the appropriate determination. This can be applied across multiple domains.