System, medical item including RFID chip, server and method for capturing medical data
First Claim
1. A system comprising:
- a plurality of radio-frequency identification (RFID) chips, wherein a first RFID chip of the plurality of RFID chips is a passive-type RFID chip;
a data collection engine (DCE) device communicating with the plurality of RFID chips, wherein the DCE comprises;
a power transmission subsystem including a power source and an antenna arranged to wirelessly transmit power from the power source to the first RFID chip;
a transceiver configured to receive first data from at least one of the first RFID chip and a second RFID chip of the plurality of RFID chips while the first RFID chip is activated by the power received, the first data including identification information of the at least one of the first and second RFID chips, one or more pressure values or position information;
a controller operatively coupled to the transceiver; and
one or more memory sources operatively coupled to the controller, the one or more memory sources including instructions for configuring the controller to generate one or more messages indicative of the identification information to be sent by the transceiver to a server device via the network connection,wherein the first RFID chip includes an antenna for wirelessly receiving the power from the transceiver of the DCE and control logic for generating the identification information;
wherein the server device comprises;
a transceiver configured to receive the one or more messages from the DCE;
a controller operatively coupled to the transceiver; and
one or more memory sources operatively coupled to the controller, the one or more memory sources storing a trained neural network model (NNM) for generating an output value corresponding to a present event based upon one or more of the one or more pressure values or position information.
1 Assignment
0 Petitions
Accused Products
Abstract
A system that includes a plurality of RFID tags affixed to medical items, and a plurality of data collection engine devices, client devices and backend devices. The backend devices include trained machine learning models, business logic, and attributes of a plurality of patient events. A plurality of data collection engines and hospital information systems send attributes of new patient events to the backend devices. The backend devices can predict particular outcomes of new events based upon the attributes of the new events utilizing the trained machine learning models. Using business logic and the trained machine learning models, the backend devices can also make recommendations to optimize the patient flow in healthcare provider organizations.
17 Citations
18 Claims
-
1. A system comprising:
-
a plurality of radio-frequency identification (RFID) chips, wherein a first RFID chip of the plurality of RFID chips is a passive-type RFID chip; a data collection engine (DCE) device communicating with the plurality of RFID chips, wherein the DCE comprises; a power transmission subsystem including a power source and an antenna arranged to wirelessly transmit power from the power source to the first RFID chip; a transceiver configured to receive first data from at least one of the first RFID chip and a second RFID chip of the plurality of RFID chips while the first RFID chip is activated by the power received, the first data including identification information of the at least one of the first and second RFID chips, one or more pressure values or position information; a controller operatively coupled to the transceiver; and one or more memory sources operatively coupled to the controller, the one or more memory sources including instructions for configuring the controller to generate one or more messages indicative of the identification information to be sent by the transceiver to a server device via the network connection, wherein the first RFID chip includes an antenna for wirelessly receiving the power from the transceiver of the DCE and control logic for generating the identification information; wherein the server device comprises; a transceiver configured to receive the one or more messages from the DCE; a controller operatively coupled to the transceiver; and one or more memory sources operatively coupled to the controller, the one or more memory sources storing a trained neural network model (NNM) for generating an output value corresponding to a present event based upon one or more of the one or more pressure values or position information. - View Dependent Claims (2)
-
-
3. A method for predicting an outcome associated with a new event, the method comprising:
-
receiving a plurality of input attributes of the new event; performing pre-processing on the plurality of input attributes to generate an input data set; generating an output value from a trained model based upon the input data set; and classifying the output value into a delay risk category to predict the outcome. - View Dependent Claims (4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15)
-
-
16. A Throughput Manager Device (TMD) comprising:
-
a transceiver for receiving input attributes associated with an event from one or more remote entities via a network connection; the transceiver further for receiving an information request from a remote client access device via the network connection, the information request being a request for calculated quantifiable outcomes for a plurality of events; a controller operatively coupled to the transceiver; and one or more memory sources operatively coupled to the controller, the one or more memory sources storing instructions for configuring the controller to; calculate a quantifiable outcome for each of the events from a trained model based upon at least two or more patient attributes of the respective event where the outcome represents a numerical, continuous or categorical outcome; and generate an information reply including a graphical display indicating the numerical/continuous output value or the category output of each of the events. - View Dependent Claims (17, 18)
-
Specification