Patient data mining, presentation, exploration, and verification

Description of equivalent WO 03040989 A2

PATIENT DATA MINING, PRESENTATION, EXPLORATION, AND VERIFICATION

Cross Reference to Related Applications

This application claims the benefit of U.S. Provisional Application Serial No. 60/335,542, filed on November 2, 2001, which is incorporated by reference herein in its entirety.

Field of the Invention

The present invention relates to organization and review of data, and, more particularly to a graphical user interface for presentation, exploration and verification of patient information.

Background of the Invention

The information environment faced by physicians has undergone significant changes. There is much more information available, in more formats than ever before, competing for the limited time of physicians. Although the information age is slowly transforming this landscape, it has not yet delivered tools that can alleviate the information overload faced by physicians .

Currently, many health care organizations have started to migrate toward environments where most aspects of patient care management are automated. However, health care organizations with such information management systems have tended to maintain information in a myriad of unstructured and structured data sources. It may still be necessary to access numerous different data sources, each with its own peculiar format .

In view of the above, it would be desirable and highly advantageous to provide new graphical tools for presentation, exploration and verification of patient information.

Summary of the Invention

The present invention provides a graphical user interface for presentation, exploration and verification of patient information.

In various embodiments of the present invention, a method is provided for browsing mined patient information. The method includes selecting patient information to view, at least some of the patient information being probabilistic, presenting the selected patient information on a screen, the selected patient information including links to related information. The selected patient information may include raw information extracted from various data sources for the patient (hereinafter referred to as 'elements') or conclusions drawn therefrom. This information may be derived from various data sources .

The selected patient information may include an element linked to unstructured information. For example, an element linked to a note with highlighted information may be presented. The highlighted information may refer to information used to derive the element. Additionally, the unstructured information may include medical images and waveform information.

The selected patient information may also be derived from structured data sources, such as a database table.

The selected patient information may include a document with links to elements associated with the document.

The selected patient information may include patient summary information.

The patient information presented to a particular user may depend on the identity or role of the user. For instance, a physician may be interested only in a high-level view of the disease (at least initially) and be presented with the most relevant conclusions drawn from the entire patient record.

Another option is to display all the patient information (every element and derived conclusion) but to sort this list in order of decreasing relevance to the disease.

These and other aspects, features and advantages of the present invention will become apparent from the following detailed description of preferred embodiments, which is to be read in connection with the accompanying drawings.

Brief Description of the Drawings FIG. 1 shows an exemplary data mining framework for mining structured clinical information;

FIG. 2 shows an exemplary main browser screen;

FIG. 3 shows an exemplary options screen;

FIG. 4 shows an exemplary summary frame screen;

FIGs . 5 and 6 show exemplary verification screens;

FIGs . 7 and 8 show exemplary exploration screens;

FIGs. 9 and 10 show exemplary results of extraction from a structured data source; and

FIG. 11 to 13 show exemplary presentation of patient summary information.

Description of Preferred Embodiments

FIG. 1 illustrates an exemplary data mining framework as disclosed in "Patient Data Mining," by Rao et al . , Attorney Docket No. 2001P20906US01, copending U.S. Patent Application

Serial No. 10/ , , filed herewith, which is incorporated by reference herein in its entirety.

As illustrates in FIG. 1, an exemplary data mining framework for mining high-quality structured clinical information includes a data miner 150 that mines information from a computerized patient record (CPR) 110 using domain- specific knowledge contained in a knowledge base (130) . The data miner 150 includes components for extracting information from the CPR 152, combining all available evidence in a principled fashion over time 154, and drawing inferences from this combination process 156. The mined information may be stored in a structured CPR 180.

The extraction component 152 deals with gleaning small pieces of information from each data source regarding a patient, which are represented as probabilistic assertions about the patient at a particular time. These probabilistic assertions are called elements. The combination component 154 combines all the elements that refer to the same variable at the same time period to form one unified probabilistic assertion regarding that variable. These unified probabilistic assertions are called factoids . The inference component 156 deals with the combination of these factoids, at the same point in time and/or at different points in time, to produce a coherent and concise picture of the progression of the patient's state over time. This progression of the patient's state is called a state sequence .

FIG. 2 illustrates an exemplary main browser screen 200 for browsing mined patient information. The exemplary main browser screen 200 includes a run state selector 202, a patient selector 204, and an enter button 206.

In operation, a user interacting with the main browser screen 200 enters a patient identifier using the patient selector 204 and a data mining run state using the run state selector 202. The user then clicks on the enter button 206 to cause the selected patient identifier and run state to be input .

The data mining run state can include a particular run cycle (e.g., run date, time) that patient medical records were mined. When information is retrieved, it can include only information current as of that point .

Referring to FIG. 3, an exemplary options screen 300 is illustrated. The options screen 300 may include a plurality of input buttons, each input button for displaying a level of information. For example, the user may click on an input button to select summary information. FIG. 4 illustrates the result of selecting summary information from the options screen 300. As shown in FIG. 4, a summary of a particular patient information is presented. This summary includes all elements, documents, and tests for the patient relating to glycemic control, which is the view of the patient record presented to the particular user.

Advantageously, the patient information presented to a particular user may depend on the identity or role of the user. For example, a cardiologist may be presented with a different view of the data than an oncologist. Similarly, a physician may be presented with information different from that of a nurse or administrative employee. By presenting different views of the patient information, the user can more effectively make use of information that he or she is interested in. Another option is to display all the patient information (every element and derived conclusion) but to sort this list in order of decreasing relevance to the disease. For instance, one patient's most relevant item may be his abnormal test results, while another patient whose test results are normal may have his family history of cancer be the most re1evant item.

Referring to FIG. 5, an exemplary verification screen is illustrated. This screen allows a user to drill down an element to its underlying source. In this case, the element "STTAbn; Value: true, 0.8" has been selected, causing a physician note to be displayed in the right-hand portion of the screen. The highlighted portion of the physician note indicates the data from which the element was derived. In this case, it was concluded that there is an 80% probability that the patient's ECG showed ST-T wave abnormalities. FIG. 6 illustrates drilling down of another element, "STTabn; Value: false, 0.7", that contradicts the element shown in FIG. 5. In this case, it was concluded that there is an 70% probability that the patient's ECG showed ST-T wave abnormalities. A user may use the verification screen to verify the conclusions inferred from the underlying data sources .

Although FIGs. 5 and 6 show that the underlying data sources are physician notes, it should be appreciated that the data sources could take other forms. For example, the elements may be derived from (and linked to) medical images, waveforms, and structured information (e.g., information contained in a database) .

Referring to FIG. 7, documents may be displayed to the user. In this case, the user selected a physician note written by Emergency Room (ER) personnel. Two separate elements were derived from information contained in this' document. FIG. 8 shows another document displayed on the exploration screen. As illustrated, this document includes fourteen elements in six categories.

FIGs. 9 and 10 illustrate patient information extracted from structured data sources. In particular, FIG. 9 shows lab results for a particular patient. As depicted, the lab results include a date, time, test name, and measurement value. FIG. 10 shows various medications administered to the patient. This information includes a drug name, date, dosage, and price information. The information obtained from structured data sources may have been converted into standardized units, where appropriate.

FIGs. 11 to 13 illustrate exemplary patient summary screens. FIG. 11 shows summary results for 'BGLUT' (blood glucose level) . As shown, various summary information is presented to the user. Likewise, FIG. 12 shows summary results for "TCPL" . As shown in FIG. 13, patient summary information related to various facets of glycemic control is presented. While the exemplary screens use several selection menus and buttons, it should be appreciated that the selection of various parameters such as the patient identifier, miner run state, documents, elements, categories, etc., can be accommodated using a variety of devices, such as a number of graphical user interface selection widgets, check boxes, buttons, list boxes, pop-up or drop-down marks, text entry boxes and the like, or any known or later developed interfaces that an operator can access. It should be appreciated that the various exemplary screens illustrated herein can also, or alternatively, include any device capable of presentation, exploration, and verification of mined patient information.

Although illustrative embodiments of the present invention have been described herein with reference to the accompanying drawings, it is to be understood that the invention is not limited to those precise embodiments, and that various other changes and modifications may be affected therein by one skilled in the art without departing from the scope or spirit of the invention.