PATENT CLAIM ANALYSIS

Application Number: 16390767
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["340", "573100"]

Abstract:
Exemplary embodiments of methodologies of obtaining more accurate compliance metrics are disclosed herein. An exemplary method of determining a compliance metric includes determining a number of dispense events and determining a number of opportunities for obtaining dispense events. The number of opportunities for obtaining dispense events is a function of the time between an entry event and a exit event, in addition, the compliance metric is a function of the number of dispense events and the number of opportunities.

Claim (Index 1):
A method of determining a hand hygiene compliance metric comprising:\n providing an area entry sensor; receiving a signal from the area entry sensor that is indicative of an area entry event by a person; providing an area exit sensor; receiving a signal from the area exit sensor indicative of an area exit event by a person; determining a number of dispense events by receipt of signals from one or more dispensers; determining a number of hand hygiene opportunities for obtaining dispense events that occur between an entry event signal and an exit event signal from one or more sensors; wherein the number of hand hygiene opportunities for obtaining dispense events occurs between and is a function of the an entry event and an exit event; and wherein the number of hand hygiene opportunities is incremented by a value M, which is a function of the type of area where the entry event occurs and; wherein M is greater than 1; and providing a hand hygiene compliance metric that is a function of the number of dispense events and the number of hand hygiene opportunities.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 100.0
- Lexical Diversity: 2.15385
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['14938269', '14789595', '12787064', '14643053', '12787097']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6910197011292073
- 35 USC 102 Novelty (BERT): 0.5512258414607414
- Combined Prediction Score: 0.6770403151623607
- Mean Citation Score: 257.001402
- Max Citation Score: 395.29532
- Similarity Product: 382.1939357610033

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