PATENT CLAIM ANALYSIS

Application Number: 16375543
Application Type: Utility
Filing Date: 2019-04
Publication Date: 2019-08
Patent Classification: ["705", "002000"]

Abstract:
A system and method for patient healthcare information management. The system includes a fingerprint scanner that generates fingerprint data by scanning the finger of a patient. That fingerprint data is forwarded to a hand scan server that performs a lookup to retrieve a corresponding patient ID or social security number. That patient ID or social security number is then sent to a healthcare server, such as at a hospital or other healthcare facility, to retrieve the healthcare information for the patient. That is particularly useful for patients who are unconscious or otherwise unable to recall or relay their identifying information and/or healthcare information history to the healthcare practitioner. In addition, the system can include an imaging capture device to take a picture of the patient. That image is displayed in conjunction with annotations that indicate the patient healthcare information history for the patient. That enables the healthcare practitioner to rapidly and easily see the patient's healthcare history and related details.

Claim (Index 2):
The system of  claim 1 , wherein the patient identifying information comprises a patient ID or social security number.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 100.0
- Lexical Diversity: 1.97701
- Patent Class: 705.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['14223537', '14155205', '10842080', '13039608', '15269532']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.0954302418013455
- 35 USC 102 Novelty (BERT): 0.4832151339701251
- Combined Prediction Score: 0.1342087310182235
- Mean Citation Score: 158.57347
- Max Citation Score: 162.61507
- Similarity Product: 115.3424009124738

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

Dataset: test