THE TAGNOS
ECOSYSTEM
SaaS platform analyzes data from clinical systems, including EHR, CPOE, LIS, RIS, and ADT systems, along with RTLS tracking devices to orchestrate excellence
TAGNOS is a comprehensive platform that hospitals use to operate more efficiently by orchestrating the functional operations of care delivery with applications that support OR and ED patient flow as well as asset, supply and temperature tracking.
The TAGNOS Ecosystem includes:
Learn about the four primary components below.
(Click on each of the four icons below to learn more about the components of the TAGNOS Ecosystem.)
As recently described in a Forrester Research Report (The Dawn of Digital Decisioning), “Artificial intelligence (AI) is not one technology. Rather, it is made up of one or more building block technologies, including knowledge engineering, machine learning, deep learning, and others”.
TAGNOS solutions use machine learning to evaluate both large historical and real-time datasets to identify patterns that indicate how patient, staff and asset flow may occur on that particular day.
The advent of Artificial Intelligence programming has been helping us solve problems that could not have been solved before. TAGNOS is the only company that’s developed an AI application that uses machine learning combined with real-time data.
Real-time data is continuously being fed into the TAGNOS platform to model various estimates and predictions. For example, case length for procedures in OR are calculated much more accurately than the traditional moving average. Similarly in the ED, length of stay can be modeled much more precisely using a broader set of features than a moving average. With the machine learning application of A.I., the TAGNOS platform continuously learns and improves from your own data to deliver actionable information for long term sustained improvement.
The use of RTLS (real-time location systems) provides a reliable way to track patients, manage equipment and locate staff in hospitals. TAGNOS delivers Gen2IR/RFID that tracks location at the sub-room level.
Using the power of passive data collection gathered by RTLS, TAGNOS makes sense of people and assets in constant motion.
From real-time visibility of patient location from registration to discharge to staff looking for equipment to provide proper care, this RTLS network provides a proliferation of data in hospitals that can be used to optimize patient flow, predict case length time in the OR, reduce length of stay in ER and optimize asset utilization.
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The TAGNOS SaaS platform analyzes data from clinical systems, including EHR, CPOE, LIS, RIS, and ADT systems, along with RTLS tracking devices to deliver both predictive data and real-time insight into functional operations and automate documentation via API or HL7 feed.
As nurses, physicians and hospital staff navigate an increasingly complex world each day, a lot of decisions are made based on intuition and knowledge of the staff. With TAGNOS, accurate, actionable information is delivered to the entire care team via a mobile communication app.
We communicate to department leaders, front line clinicians, and the ancillary departments that support them (like transport, housekeeping and BioMed/clinical engineering) both anticipated census data and case length as well as in-the-moment progress alerts of what’s going on and what’s needed in real-time.
The TAGNOS mobile communication app makes life easier for care teams and gives everyone that impacts patient flow and throughput the ability to go from reactive decision-makers to proactive problem solvers.
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