PATENT CLAIM ANALYSIS

Application Number: 16292303
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-09
Patent Classification: ["340", "539120"]

Abstract:
Systems and methods for monitoring accurate, real-time medicament device events, performing analytics on that data, and providing notifications are described. In various embodiments, an application server receives controller medication events, analyzes the events, associated event times, and controller medication dosage plans to characterize event times and send notifications for future doses. The controller medication dosage plan may specify a dose time for a planned dose, a narrow time window comprising the dose time, and an expanded time window comprising the narrow time window and longer in duration than the narrow time window, and the events may be characterized based on their time relative to the dose time, the time windows, and other events.

Claim (Index 12):
A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause the process to perform steps comprising:\n receiving, at an application server, a first controller medication usage event recorded at a first recorded time from a computing device associated with a medicament device; analyzing, at the application server, the first event according to a controller medication dosage plan, the controller medication dosage plan specifying a first scheduled time for a planned dose, the analyzing of the first event comprising:\n determining whether the first recorded time is within a first time window inclusive of the first scheduled time, and \n in response to determining that the first recorded time is not within the time window, characterizing the first event as off-schedule dose; \n in response to characterizing the first event as the off-schedule dose, generating a notification based on the characterization of the first event as the off-schedule dose; and providing the notification to the computing device.

Metadata:
- Claim Count in Document: 9.0
- Percentile: 99.0
- Lexical Diversity: 1.96923
- Patent Class: 340.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15351197', '15940950', '14518529', '13292440', '14545200']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7910587808330733
- 35 USC 102 Novelty (BERT): 0.5391780021159672
- Combined Prediction Score: 0.7658707029613628
- Mean Citation Score: 207.265802
- Max Citation Score: 372.07382
- Similarity Product: 331.4188304475045

Labels:
- Claim Label 101: 1
- Claim Label 102: 0
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 1

Dataset: test