PATENT CLAIM ANALYSIS

Application Number: 16011598
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2018-12
Patent Classification: ["340", "010510"]

Abstract:
A system and method for bulk encoding medical items in a tracking system in a healthcare facility comprises attaching to each of a plurality of identical medical items a blank RFID tag. When activated simultaneously, the serial numbers of all RFID tags on all the identical medical items are read and their serial numbers are associated with the pre-stored characteristics of the medical item in a data base. The RFID tags are blank in that they include no human-readable data concerning the medical article to which the RFID tag is attached. A data mining system and method are provided for mining the database.

Claim (Index 1):
A method for bulk encoding a plurality of medical items with respective individual wireless identification devices, each medical item of the plurality of medical items having a characteristic that is identical to all other medical items in the plurality, the bulk encoding method comprising:\n storing the identical characteristic of the plurality of medical items in a computer-readable database located in a non-volatile memory; attaching a wireless identification device to each of the medical items, each wireless identification device configured to wirelessly transmit a serial number that is different from all other serial numbers of wireless identification devices attached to other medical items of the plurality of medical items; after the wireless identification devices have been attached to each of the medical items of the plurality of medical devices, reading the wireless identification devices while they are attached to the medical items of the plurality of medical items to obtain the serial numbers of all the plurality of medical items; associating the serial numbers read from the plurality of activated wireless identification devices to the identical characteristic in the database.

Metadata:
- Claim Count in Document: 32.0
- Percentile: 94.0
- Lexical Diversity: 1.83051
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15627366', '15241026', '15785389', '14752837', '15838310']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7276891267006531
- 35 USC 102 Novelty (BERT): 0.6044363445366163
- Combined Prediction Score: 0.7153638484842495
- Mean Citation Score: 369.979866
- Max Citation Score: 539.6001
- Similarity Product: 468.16201262514

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test