# US 2010/0169355 A1 · Clinical Data Monitoring

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- Number: US 2010/0169355 A1
- Document ID: US20100169355A1
- Status: Published application
- Kind: A1
- Application number: 12/438,085
- Filed: 2007-08-29
- Published: 2010-07-01
- Earliest claimed: 2006-08-29
- Assignees: Nextgen Healthcare Information Systems, Inc.
- Inventors: Bryan Rosenberger; Timothy Eggena; Robert Nary; Robert Hale; Patrick Cline; Robert Ellis
- Web page: https://patentgrep.com/patent/US20100169355A1

## CPC

- G06Q 10/10: Office automation; Time management
- G16H 50/70: for mining of medical data, e.g. analysing previous cases of other patients
- G16Z 99/00: Subject matter not provided for in other main groups of this subclass
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16Z: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR

## Abstract

Data is combined from multiple independent data stores, and is then queried using a data correlation engine. Contemplated engines preferably keep track of previously run correlations, and then makes those correlations available to clinicians for their own use. For example, a preferred system might provide a listing of correlations run by other clinicians in a particular medical specialty, or a particular community, whether geographic or otherwise. In another example, a preferred system might provide a listing of correlations sorted by popularity, so that the most frequently accessed correlations appear near the top of the list. In any case a clinician could simply view the list, and check off which correlations he/she would like to have run for his/her practice, or practice community.

## Claims

### Claim 1

A data correlation engine, comprising:
a set of correlations that can be run against a database that stores clinical data, wherein elements of the set are characterized according to at least one of medical specialty, popularity, and community;
a selection interface through which a first user can select a non-trivial proper sub-set of the correlations to be automatically run against the database to provide a set of alerts; and
a presentation interface through which the first user can select an aspect of how at least one of the alerts will be presented to the user.

### Claim 2 (depends on 1)

The engine of claim 1, wherein the selection interface includes at least one of an opt-in and an opt-out choice.

### Claim 3 (depends on 1)

The engine of claim 1, further comprising a periodicity interface through which the user can select periodicity at which at least some of the alerts will be run.

### Claim 4 (depends on 1)

The engine of claim 1, wherein at least one of the selection and presentation interfaces includes a web based interface.

### Claim 5 (depends on 1)

The engine of claim 1, wherein a second user can use the selection interface to select a second non-trivial proper sub-set of the correlations to be automatically run against a second database to provide a second set of alerts.

### Claim 6 (depends on 5)

The engine of claim 5, further comprising an additional interface through which the user can add a new correlation to the set of correlations, and wherein the second user can select the new correlation as falling within the second sub-set of the correlations.

### Claim 7 (depends on 1)

The engine of claim 1, wherein the selection interface is customizable by the user.

### Claim 8 (depends on 1)

The engine of claim 1, wherein the first user can add new correlation query to the set of correlations, and second, third and other users can then select the new correlation as part of their own sets of selected correlations.

### Claim 9 (depends on 1)

The engine of claim 1, further comprising a translator that translates elements of the individual ones of the set of correlations into a language other than that in which the elements were originally stored.

### Claim 10 (depends on 1)

The engine of claim 1, further comprising a natural language interface through which the first user can select the sub-set of the correlations.

### Claim 11 (depends on 1)

The engine of claim 1, wherein the clinical data is derived from medical care facilities located in at least three different countries.