Patent Issued for Intelligent touch care corresponding to a clinician documented change in condition or order (USPTO 11328827): Cerner Innovation Inc.

2022 JUN 01 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- Cerner Innovation Inc. (North Kansas City, Missouri, United States) has been issued patent number 11328827, according to news reporting originating out of Alexandria, Virginia, by NewsRx editors.

The patent’s inventors are Brown, Georgia (Kansas City, KS, US), Brown, Stacey (Kansas City, KS, US), Farley, Sheila (Kansas City, KS, US).

This patent was filed on December 31, 2018 and was published online on May 10, 2022.

From the background information supplied by the inventors, news correspondents obtained the following quote: “Early warning systems are often used in the clinical setting (e.g., acute care) to detect patient deterioration and drive clinical decision-making. For example, the early warning system may detect that a particular condition a patient has been diagnosed with or a particular medication the patient is being treated with makes the patient a higher risk for a particular negative outcome. Unfortunately, these systems are limited to the clinical setting and do not account for, for example, a patient in a community care setting (e.g., in person visit in the community, in person visit at a clinic, clinical video visit, telephonic assessment or follow-up, electronic assessment via a patient portal or a voice system, upstream transition to a higher level of care setting, or a referral for an outside service such as transportation, meal service, or behavioral health evaluation). Moreover, these systems fail to consider additional patient information that is particularly relevant outside of a clinical facility (e.g., social determinant of health risk factors such as transportation limitations or food insecurity). This results in overlooked risk factors for the patient that increases the risk of deterioration or an acute event, resulting in an overall increase in health care costs.

“Various touch points may be needed based on the needs of a particular patient in a community care setting. For example, based on demographics corresponding to the patient, a particular condition the patient has been diagnosed with or the particular medication the patient is being treated with, or other factors, the patient may need follow-ups at particular time intervals. However, in the community care setting, in-person follow-ups are not always needed and are over-utilized which results in inefficient workforce management and fewer patient touch points. This results in unnecessary or missed touch points, unnecessary in-person appointments, and an overall increase in health care costs.”

Supplementing the background information on this patent, NewsRx reporters also obtained the inventors’ summary information for this patent: “This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used as an aid in determining the scope of the claimed subject matter.

“Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing intelligent touch care. More particularly, embodiments of the present disclosure utilizes contributing data elements in a community early warning score (CEWS) to predict touchpoint discipline and to recommend frequency, modality, and upstream transitions of care and outside service referrals for a patient in a community care setting. In response to a touch point (e.g., a change in condition or medication, a scheduled or unscheduled appointment, or a patient question), the CEWS can be utilized along with data in an EHR of a patient, data from a patient device, or data from a patient portal to initiate a follow-up (e.g., personal health question or encounter).

“Notification tools and scheduling functionality are provided via a user interface of the patient device to improve clinical workforce capacity, increase the number of patient touches, and encourage heightened patient engagement. Moreover, the ability to capture dynamic rising risk provides clinical insight into changing risk outside of the controlled environment of a clinical facility. Overall, outcomes for the patient can be improved, touch points can be increased, and unnecessary in-person appointments and overall health care costs can be reduced.”

The claims supplied by the inventors are:

“1. One or more non-transitory computer storage media having computer-executable instructions embodied thereon that, when executed by a computer, causes the computer to perform operations, the operations comprising: receiving, at a mobile device, a touch point corresponding to a change in a condition or order for a patient in a community care setting; in response to the touch point, dynamically crawling data in an electronic health record (EHR) system for the patient, the data including a community early warning score (CEWS), wherein the CEWS was generated based on a plurality of social determinants comprising a financial situation of the patient and a level of food insecurity of the patient; automatically determining, via an intelligent touch care system, the patient has an increase in risk of deterioration or an acute event based on the touch point, the change, and the data in the EHR system comprising the plurality of social determinants; and based on the increase in risk, providing, at the mobile device, a suggestion to take an action to reduce the risk and providing, at the mobile device, a prompt for scheduling a follow-up to address the increase in risk for the patient via an interface in communication with the intelligent touch care system.

“2. The media of claim 1, further comprising providing a selectable suggestion to schedule a follow-up, wherein the follow-up is a video visit for the patient, and wherein the operations further comprise providing a notification via a consumer device to the patient upon receiving a selection for scheduling the follow-up.

“3. The media of claim 1, wherein a notification is provided via a personal assistant voice service upon determining the patient has the increase in risk, the notification indicating that a personal health question is available for the patient.

“4. The media of claim 3, further comprising: receiving an indication that the patient is not available to answer the personal health question; and prompting the patient to provide a time the patient is available to answer the personal health question.

“5. The media of claim 4, further comprising, in response to the patient providing the time the patient is available to answer the personal health question, scheduling an encounter for the patient.

“6. The media of claim 1, further comprising: providing a suggestion to take an action based on the early warning score; and in response to determining the patient has not complied with the suggestion to take the action to reduce the risk, initiating a telephone call for the patient.

“7. The media of claim 3, further comprising receiving an indication that the patient is available to answer the personal health question.

“8. The media of claim 7, further comprising communicating the personal health question to the patient.

“9. The media of claim 8, further comprising, in response to the patient providing an answer to the personal health question, generating a second touch point or initiating a telephone follow-up for the patient.

“10. A computerized method comprising: receiving, at a mobile device, a touch point corresponding to a change in a condition or order for a patient in a community care setting; in response to the touch point, dynamically crawling data in an electronic health record (EHR) system for the patient, the data including a community early warning score (CEWS) corresponding to a health risk, wherein the CEWS was generated based on a plurality of social determinants specific to the patient, the plurality of social determinants comprising a financial situation of the patient, a health literacy of the patient, a mode of communication available to the patient, and a stress level of the patient; automatically determining, via an intelligent touch care system, the patient has an increase in the health risk based on the touch point, the change, and the CEWS; and based on the increased health risk, triggering, at the mobile device, a follow-up for the patient using the intelligent touch care system.

“11. The method of claim 10, further comprising: triggering a follow-up for the patient using the intelligent touch care system and based on the increase in the health risk; in response to the follow-up, notifying the patient with a notification provided via a consumer device or a personal assistant voice service, the notification indicating that a personal health question is available for the patient; and receiving an indication that the patient is not available to answer the personal health question.

“12. The method of claim 11, further comprising prompting the patient to provide a time the patient is available to answer the personal health question.

“13. The method of claim 12, further comprising, in response to the patient providing the time the patient is available to answer the personal health question, scheduling an encounter for the patient.

“14. The method of claim 12, further comprising, in response to the patient not providing the time the patient is available to answer the personal health question, triggering a second follow-up for the patient.

“15. The method of claim 10, further comprising: triggering a follow-up for the patient based on the increase in the health risk; in response to the follow-up, notifying the patient with a notification provided via a consumer device or a personal assistant voice service, the notification indicating that a personal health question is available for the patient; and receiving an indication that the patient is available to answer the personal health question and communicating the personal health question to the patient.

“16. The method of claim 15, further comprising, in response to the patient providing an answer to the personal health question, generating a second touch point or initiating a telephone follow-up for the patient.

“17. A system comprising: a processor; and a computer storage medium storing computer-usable instructions that, when used by the processor, cause the processor to: receive, at a mobile device, a touch point corresponding to a change in a condition or order for a patient in a community care setting; in response to the touch point, dynamically crawl data in an electronic health record (EHR) system for the patient, the data including a community early warning score (CEWS) corresponding to a health risk, wherein the CEWS was generated based on a plurality of social determinants specific to the patient, wherein the plurality of social determinants comprise a health literacy of the patient and modes of communication available to the patient; automatically determining, via an intelligent touch care system, the patient has an increased health risk based on the touch point, the change, and the CEWS; and based on the increased health risk, trigger, at the mobile device, a follow-up for the patient using the intelligent touch care system.

“18. The media of claim 1, wherein the touch point is received via a touch care engine provided by a clinician device that is in communication with the intelligent touch care system and the EHR system via a network.

“19. The method of claim 10, wherein a notification is provided to the patient via a user interface of a consumer device based on the increase in risk, and wherein the method further comprises providing, via a workflow component, a series of self-assessments to the patient via the user interface.

“20. The system of claim 17, wherein the CEWS was generated based on risk profile scores, clinical assessment data, and biometric data, the risk profile scores corresponding to pain, depression, anxiety, and medication adherence.”

For the URL and additional information on this patent, see: Brown, Georgia. Intelligent touch care corresponding to a clinician documented change in condition or order. U.S. Patent Number 11328827, filed December 31, 2018, and published online on May 10, 2022. Patent URL: http://patft.uspto.gov/netacgi/nph-Parser?Sect1=PTO1&Sect2=HITOFF&d=PALL&p=1&u=%2Fnetahtml%2FPTO%2Fsrchnum.htm&r=1&f=G&l=50&s1=11328827.PN.&OS=PN/11328827RS=PN/11328827

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