Granted Patent B2

US 12,646,598 · App. 18/455,468 · Granted Jun 2, 2026

Inventors: Debra Umlauft (Slinger, WI); Attila Vojtek (Budapest, HU); Levente Árpád (Békéscsaba, HU); Monica Masini (Aldershot, GB); Kirsten Nehf (Waukesha, WI)

Assignee: GE PRECISION HEALTHCARE LLC

G16H10/60G06F3/0482G06F3/04847

Abstract

Claims (31)

1 . A computing device comprising a display screen, the computing device configured to display on the display screen a menu listing one or more electronic medical records (EMRs) of one or more patients, and additionally being configured to display on the display screen a patient timeline graphical user interface (GUI) accessible from the menu, wherein the patient timeline GUI displays, for each patient, patient data as longitudinal medical history events and one or more predicted outcome elements of one or more corresponding parameters of a plurality of parameters of the patient data, the patient data obtained from the one or more EMRs and the one or more predicted outcome elements generated based at least in part on the patient data, wherein each element of the longitudinal medical history events and the one or more predicted outcome elements is selectable to launch a pop-up window with additional information related to the selected element, wherein the patient timeline GUI is displayed while the one or more EMRs are in an unlaunched state, wherein the patient timeline GUI further comprises an event history panel including a plurality of event types, each event type of the plurality of event types including one or more event icons arranged chronologically according to a timeline, wherein the one or more event icons each indicate that an event of a corresponding event type occurred at a corresponding time according to the timeline, wherein the event history panel is time aligned with one or more time aligned graphs of patient data parameters displaying one or more predicted outcome elements for corresponding patient data parameters, wherein the plurality of event types includes at least two of: exams, procedures, encounters, hospitalizations, and disease events, wherein the patient timeline GUI includes a decision support element, the decision support element being selectable to launch a clinical decision support GUI, the clinical decision support GUI being a modification of the patient timeline GUI, wherein the clinical decision support GUI is displayed as a side panel of the patient timeline GUI, wherein the clinical decision support GUI comprises a plurality of selectable elements, including an outcome prediction element, an accept element, and a cancel element, wherein the outcome prediction element, when selected for a first activity, triggers generation of predicted outcomes for one or more parameters of the patient data based on the first activity, wherein the accept element, when selected for the first activity, triggers inclusion of the first activity to a care plan, and wherein the cancel element, when selected for a second activity, triggers exclusion of the second activity from the care plan.

2 . The computing device of claim 1 , wherein the patient data is segmented into the plurality of parameters and each of the plurality of parameters is further segmented into the plurality of event types.

3 . The computing device of claim 2 , wherein each of the plurality of parameters is displayed in a separate time aligned graph of the one or more time aligned graphs, wherein each time aligned graph displays a respective predicted outcome element corresponding to a parameter displayed within the time aligned graph.

4 . The computing device of claim 1 , wherein the clinical decision support GUI displays, for each patient, one or more activity recommendations as activity items, the one or more activity recommendations being assigned based on the patient data and a first set of rules.

5 . The computing device of claim 4 , wherein the one or more predicted outcome elements are displayed within the patient timeline GUI in response to selection of one or more activity items within the clinical decision support GUI.

6 . The computing device of claim 5 , wherein the one or more predicted outcome elements are generated by one or more artificial intelligence (AI) algorithms based on the one or more activity items and the patient data.

7 . The computing device of claim 6 , wherein the one or more AI algorithms are determined based on a second set of rules.

8 . The computing device of claim 4 , wherein the one or more activity recommendations comprise recommendations for at least one of future care, future treatment, future intervention, and future screening.

9 . A method for a longitudinal timeline and predictive clinical decision support system, comprising:

displaying a menu listing one or more options for retrieving data of one or more patients from a plurality of data repositories of a hospital, the plurality of data repositories including one or more electronic medical record (EMR) systems;

displaying a patient timeline graphical user interface (GUI) that displays, for each patient, a plurality of elements indicating a plurality of history events determined from the retrieved data from the one or more EMR systems, the plurality of elements being arranged chronologically, wherein one or more elements of the plurality of elements is selectable to launch a pop-up window with additional information related to the selected element;

in response to selection of an element of the plurality of elements, modifying the patient timeline GUI to display a clinical decision support GUI that displays one or more activity items, wherein the patient timeline GUI is displayed while the one or more EMR systems are in an unlaunched state;

in response to selection of one or more of the one or more activity items, generating predicted outcomes of one or more parameters of the data based on the one or more activity items; and

displaying the predicted outcomes as predicted outcome elements within the patient timeline GUI, wherein one or more of the predicted outcome elements are selectable to launch a pop-up window with additional information related to a corresponding predicted outcome, wherein the patient timeline GUI comprises a time aligned graph including a plurality of time aligned plots therein, each time aligned plot of the plurality of time aligned plots corresponding to a different parameter of the one or more parameters, wherein the predicted outcome elements are displayed for each of the plurality of time aligned plots at the same time within the time aligned graph, and wherein the predicted outcome elements are displayed while the one or more EMR systems remain in the unlaunched state,

wherein the clinical decision support GUI comprises a plurality of selectable elements, including an outcome prediction element, an accept element, and a cancel element, wherein the outcome prediction element, when selected for a first activity, triggers generation of predicted outcomes for one or more parameters of the patient data based on the first activity, wherein the accept element, when selected for the first activity, triggers inclusion of the first activity to a care plan, and wherein the cancel element, when selected for a second activity, triggers exclusion of the second activity from the care plan.

10 . The method of claim 9 , wherein the predicted outcomes of the one or more parameters are generated based on one or more artificial intelligence (AI) algorithms, wherein the one or more AI algorithms are determined based on a second set of rules applied to the data and the one or more activity items.

11 . The method of claim 9 , wherein the predicted outcomes of a first parameter comprise a first predicted outcome of a no action condition and one or more second predicted outcome of the one or more activity items, wherein predicted outcomes are generated for the one or more activity items in one or more of an independent manner, a cumulative manner, and a time designated manner.

12 . The method of claim 9 , further comprising displaying within the patient timeline GUI two or more of a first predicted outcome element for each of the one or more activity items, a second predicted outcome element for a no action condition, a third predicted outcome element for a cumulative condition, and a fourth predicted outcome element for a time designated condition, wherein the two or more are displayed within the same time aligned graph at the same time in an overlapping manner.

13 . The method of claim 9 , wherein each of the predicted outcome elements is displayed with a respective color corresponding to a status of a trend of a corresponding predicted outcome.

14 . A longitudinal patient history timeline system, comprising:

one or more processors; and

memory storing instructions executable by the one or more processors to:

output, for display on a display device, a patient timeline graphical user interface (GUI) that includes, for a patient, a plurality of time aligned graphs indicating patient history events, wherein each graph is generated by applying a set of rules to a set of patient data obtained from an electronic medical record (EMR) database;

display within a modification of the patient timeline GUI, an activity recommendation indicating a suggested care measure based on the set of patient data, wherein the modification of the patient timeline GUI comprises a clinical decision support GUI displayed as a side panel of the patient timeline GUI, wherein the clinical decision support GUI displays the activity recommendation as an activity item in an expanded state, and wherein the activity item in the expanded state includes a textual description of a reasoning for the activity recommendation, the textual description identifying one or more criteria from the set of patient data that triggered the activity recommendation based on the first set of rules;

generate predicted outcomes of one or more parameters of the set of patient data based at least in part on the suggested care measure; and

display, within one or more of the plurality of time aligned graphs, predicted outcome elements corresponding to the predicted outcomes for each of one or more corresponding parameters, wherein each predicted outcome element is selectable to launch a pop-up window displaying additional information relating to a predicted outcome represented by the selected predicted outcome element, and wherein the patient timeline GUI and the clinical decision support GUI are displayed while the EMR database is in an unlaunched state,

wherein the clinical decision support GUI comprises a plurality of selectable elements, including an outcome prediction element, an accept element, and a cancel element, wherein the outcome prediction element, when selected for a first activity, triggers generation of predicted outcomes for one or more parameters of the patient data based on the first activity, wherein the accept element, when selected for the first activity, triggers inclusion of the first activity to a care plan, and wherein the cancel element, when selected for a second activity, triggers exclusion of the second activity from the care plan.

15 . The longitudinal patient history timeline system of claim 14 , wherein the predicted outcomes of the one or more parameters is generated based on a first suggested care measure and a second suggested care measure.

16 . The longitudinal patient history timeline system of claim 15 , wherein the first and second suggested care measures are considered in a cumulative manner when generating the predicted outcomes of the one or more parameters.

17 . The longitudinal patient history timeline system of claim 15 , wherein the first and second suggested care measures are considered in a time aligned manner when generating the predicted outcomes of the one or more parameters.

18 . The method of claim 9 , wherein each predicted outcome element comprises a predicted data point and a prediction window indicating a range of possible outcomes.

Assignments (1)

Continuity (1)

References Cited (16)