A limiting factor in the successful use of healthcare teams is that non-physician members cannot be expected to perform at a physician level. Recognition of worrisome clinical trends, disease variants, and the pursuit of all clinically relevant history by non-physician practitioners are critical safety considerations. With Lifecom's solution, the burden of providing these assurances falls to the technology used to collect patient assessment data not the individual team members.
Current electronic medical records systems (EMR's and EHR's) are not designed to support such a model. Providing the necessary functions needed to safely support these enhanced teams requires software that can do far more than store patient records. The Lifecom software system used in these studies provides the scalable technology that is capable of bringing the knowledge, quality assurance, and safety to medical practitioners at all skill levels required to safely provide care using such a model.
The technology has been privately developed by Lifecom Inc., a Portland Oregon based software company. Lifecom owns this patented technology.
The Lifecom Technology:
Provides continuous evidence-based, artificial intelligence analysis of the complete medical record to reduce waste and medical errors.
Maximizes the safe utilization of non-physician clinicians to the full extent of their scope of practice.
Integrates all aspects of the patient's health management into one coherent picture.
Provides clinicians with real-time problem-based learning.
Stores data in a clinically relevant format optimized for process improvement and medical research.
Can be used to provide patient-centered care.
Novel model provides secure medical records.
Works on a wide range of platforms including workstations, laptops, tablet PC's, cell phones, etc.
Lifecom’s Adaptive Knowledge Engine (AKE)
The Adaptive Knowledge Engine (AKE) (patented) is a proprietary self-learning machine intelligence algorithm designed to assess situations or diagnose problems using processes that mimic cognitive thinking. The AKE is not based on any preexisting expert system or artificial intelligence (AI) components. It is modeled after biological systems that employ methods that bring order to data streams appearing infinite or “unbounded.” The AKE uses a unique blend of qualitative and quantitative processes when assessing problems. This combination allows for extremely granular and subtle levels of discrimination.
The knowledge engine is not a formulaic system. It is an iterative and interactive system that flexibly engages in a dynamic dialog with the user. This interaction is not based upon static rules. Each interaction is unique, being driven by the quantity and quality of information being analyzed. The AKE is able to dynamically generate further avenues of inquiry at any point during the iteration. All Engine recommendations are very transparent (easily understood by the user) and cross-referenced to authoritative reference material. Said another way, the AKE is more than a simple query and answer product. The AKE interacts with the user, allowing the tool to question the user and the user to question the results.
The building blocks of the AKE are a combination of novel database designs, algorithms and methodologies for configuring syntactic structures (Knowledge Repository, KR) that serve the engine. The Knowledge Repository is modular and completely separate from the AKE. This modularity supports ease of data capture, maintenance, and system scalability that greatly exceeds existing solutions.
The system can be easily configured to provide a machine intelligence solution for virtually any discipline.
