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 8):
A hand hygiene compliance monitoring system comprising:\n an area entry sensor for providing a signal indicative of an area entry event by a person; an area exit sensor for providing a signal indicative of an area exit event by a person; a dispenser for dispensing cleaner and providing a signal indicative of a dispense event; wherein the dispense event occurs between the area entry event and the area exit event; logic stored on a computer readable medium for determining a hand hygiene compliance metric, wherein the hand hygiene compliance metric is a function of the signal indicative of an area entry event, the signal indicative of an area exit event and the signal indicative of a dispense event; and wherein the hand hygiene compliance metric is a function of the type of area; and wherein a variable M is used in calculating the compliance metric and M is increased by more than 1; and providing an output signal that is indicative of the hand hygiene compliance metric.

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): 0.6913480679481181
- 35 USC 102 Novelty (BERT): 0.5507861130434709
- Combined Prediction Score: 0.6772918724576534
- Mean Citation Score: 257.001402
- Max Citation Score: 395.29532
- Similarity Product: 372.52399210274217

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