Healthcare Quality Standardization
Standardization has been a critical requirement for the development of essential industries where variation in production and service delivery outcomes may result in loss of life. In these industries, oftentimes several standards and systems based on expert guidelines initially compete until one became dominant and was then widely adopted, for example, mobile telephony.
In the United States, 75,000 fewer deaths would have been recorded, according to estimates in 2005 if states across the country had the same quality of care.
In the case of healthcare, standards could apply to communication, learning systems, payment transactions, certification of IT and medical device interfaces (hardware, data formats, and web services) through a universal API. Standardization will also improve documents, data and information exchange between providers, physicians, insurance and patients. Resulting in less buggy and easy to navigate healthcare programming platforms and patients flow software, protocols for connected medical equipment, data acquisition and abstraction, and security procedures.
Skills4Industry methodological classification of occupations and competency data into a systemized reference architecture delivers a standardized, interoperable framework for knowledge exchange in industries, sectors, trades and community domains. Skills4Industry standards interoperability mastery follows proficiencies in a set of 19 subject-matters, known as the Gold Standard.
A careful approach through research partnerships with world-class Universities is used to analyze the application of each subject-matter in an industry rigorously through the lens of artificial intelligence technologies. Our first product CareEngage™ integrates a range of quality care outcome dimensions into a framework with a set of tools designed to eliminate care variances. CareEngage™ technology includes:
Patient Flow Management - a mapping system for tracking patients from their homes and communities, through their first contact with a provider, including data capture from observation, diagnostics, treatment and pharmacy with time-stamped data store on patients devices. CareEngage™ patient flow management gives control of health records data to patients.
Medical Communication Analytics - words, phrases, turn-taking, and style of communication between patients and physicians are analyzed using weighted facets of communication. MCA help improves communication between patients and physicians by acting as feedback and source of learning content for physicians and hospital staff.
Learning Healthcare System - At the heart of care variances are the different qualifications systems that represent the sources of healthcare competencies. Care variance elimination through care standardization will be ineffective, thus cannot be achieved without uniformity of providers learning. Skills4Industry learning health represents a cyclical improvement Mental Model K-LooP™ technique that uses Computer Vision technology for analytics and conversion of data for concepts systemization through NLP Syntactic Map to improve learning.
Real-time reimbursement transaction management between hospitals, doctors and insurance using a universal point rating system
CareEngage™: Is a digital communication, learning, transaction, and workflow management artificial intelligence based software for the healthcare industry. At the core of CareEngage™ is a Universal API connector that is capable of data acquisition from 99% of current data systems with high-level abstraction and decomposition. Secondly, a Computer Vision technology is used to turn audio into text and parse the text through Skills4Industry occupations and competency AI concepts analytics.
Advances in artificial intelligence have moved into data generation as machines improve adaption of human senses, particularly hearing and sight. It is leading to better competencies in gleaning insights from media-rich data like voice communication between patients and physicians, and video. With these new capabilities, categorization of data that describes different media types is no longer necessary. Workflow data generated by employees daily include new work tools, disease, and cultural domain concepts. However, along with our powerful Universal API, the Computer Vision AI concepts analytics improve human senses and recall. That is important for identifying lagging skills, minor activities that can be automated and trivial work tasks within a hospital workflow.