Application US20190068359

SYSTEM AND METHOD FOR DETECTING ANOMALIES IN EXAMINATIONS
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US20190068359

1. A system for providing a cryptographic distributed ledger platform for validating examination records, the system comprising: one or more physical computer processors configured by machine-readable instructions to: (8) (6)

receive a digitized completed examination, the digitized completed examination representing an immutable record of a completion of an examination by a first party;

store the digitized completed examination onto a blockchain that provides a verifiable record of examination activities;

receive a digitized marked examination, the digitized marked examination representing an immutable record of a marking, by a second party, of the completed examination;

store the digitized marked examination onto the blockchain;

detect an anomaly based on a comparison of the stored digitized marked examination with the stored digitized completed examination; and

generate an alert, wherein the alert comprises content determined, at least in part, by the detected anomaly, and wherein the alert further comprises machine readable instructions configured to: alter a user interface associated with the one or more physical computer processors, and alter a setting associated with the one or more physical computer processors so as to limit access to the blockchain.

2. The system of claim 1, wherein the digitized completed examination is stored in the blockchain as a part of a first examination activity, the first examination activity being associated with a first examination record. (0)

3. The system of claim 1, wherein: (0) (3)

4. The system of claim 1, wherein the digitized completed examination is stored in the blockchain as a part of a first examination activity, the first examination activity being associated with a first examination record, and wherein the digitized marked examination is stored in the blockchain as a part of a second examination activity, the second examination activity being associated with the first examination record. (1) (0)

5. The system of claim 4, wherein: (0) (4)

the first examination activity further comprises a first examination activity identifier;

the first examination activity identifier comprises a unique party identifier corresponding to the first party and a unique location identifier corresponding to a location of completion of the examination by the first party;

the second examination activity further comprises a second examination activity identifier; and

the second examination activity identifier comprises a unique party identifier corresponding to the second party and a unique location identifier corresponding to a location of marking by the second party of the completed examination.

6. The system of claim 1, wherein the one or more physical computer processors is further configured by machine-readable instructions to: extract an overall mark from the digitized marked examination and store the extracted overall mark in the blockchain. (1) (0)

8. The system of claim 1, wherein the alert comprises content determined by the detected anomaly, and is configured to alter a user interface. (0)

9. The system of claim 1, further comprising an error detection module configured to detect anomalies in examination activities within the blockchain, wherein the error detection module uses statistical or learning methods for extracting, characterizing and clustering information from scanned examination documents forming, at least in part, the examination activities. (0)

10. The system of claim 1, further comprising a verification module configured to verify the authenticity of examination activities based on historical or verified documents. (0)

11. The system of claim 1, further comprising a notification module configured to communicate the alert to a designated user based on a detected anomaly. (0)

12.-20. (canceled) (0)

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Application US20190068359

SYSTEM AND METHOD FOR DETECTING ANOMALIES IN EXAMINATIONS

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