US-20260128180-A1 - HEALTH PLATFORM TRUST INDEX SYSTEM

Abstract

An example computer-implemented method described herein includes receiving a patient interaction notification for a patient from a healthcare provider for the patient, transmitting patient survey questions to a user device associated with the patient. The patient survey questions may be based on a patient's experience with the healthcare provider during the health event and may comprise benchmark categories related to the healthcare experience. The method further includes weighting the patient survey responses received based on the benchmark categories mapped to the questions and determining a trust index value for the patient using the weighted patient survey responses. The method may further include recommending an action to be performed by the healthcare provider based on the trust index value of a patient, such as patient outreach if the patient's trust index value is below a threshold value. Patient outreach may be initiated automatically by the healthcare provider software.

Inventors

• Aarthi Rao
• Oluwatoyin AJAYI
• Matthew VAN DEREN

Assignees

• CITYBLOCK HEALTH, INC.

Dates

Publication Date

20260507

Application Date

20251104

Claims (20)

1. 1 . A computer-implemented method for dynamically adjusting healthcare for a patient, the computer-implemented method comprising: detecting a patient interaction with a healthcare provider; selecting, from a plurality of patient survey questions, a subset of patient survey questions based on a category of the patient interaction and historical data associated with the patient, wherein each of the patient survey questions in the subset maps to one or more benchmark categories associated with trust between the patient and the healthcare provider; providing the subset of patient survey questions to a patient user device associated with the patient; receiving patient survey responses from the patient user device; for each individual patient survey response, processing the individual patient survey response to weight and adjust the individual patient survey response based which of the one or more benchmark categories that the individual patient survey response maps to; calculating a trust index value using the weighted patient survey responses; and determining one or more adjustments to protocols at the healthcare provider to improve trust from the patient.
2. 2 . The computer-implemented method of claim 1 wherein processing the individual patient survey response is further based on the historical data associated with the patient.
3. 3 . The computer-implemented method of claim 2 wherein the historical data associated with the patient includes previous trust index values between the patient and the healthcare provider.
4. 4 . The computer-implemented method of claim 2 wherein the healthcare provider is a first healthcare provider, and wherein the historical data associated with the patient includes previous trust index values between the patient and a second healthcare provider.
5. 5 . The computer-implemented method of claim 1 wherein processing the individual patient survey response is further based on historical data associated with the healthcare provider, and wherein the historical data associated with the healthcare provider includes an average trust index value for the healthcare provider.
6. 6 . The computer-implemented method of claim 1 wherein calculating the trust index value is further based on the historical data associated with the patient, and wherein the historical data associated with the patient comprises previous trust index values between the patient and a plurality of healthcare providers.
7. 7 . The computer-implemented method of claim 1 wherein the healthcare provider is associated with a category of healthcare, and wherein calculating the trust index value is further based on historical data associated with a plurality of healthcare providers within the category of healthcare.
8. 8 . The computer-implemented method of claim 1 wherein determining the one or more adjustments to protocols at the healthcare provider comprises: identifying, from a plurality of historical trust index values associated with a plurality of other patients, a subset of reference cases based on similarities between the patient and other patients in the subset of reference cases; and comparing the calculated trust index value to the historical trust index values in the subset of reference cases.
9. 9 . The computer-implemented method of claim 8 wherein the similarities between the patient and other patients in the subset of reference cases comprise similarities in demographic information between the patient and the other patients.
10. 10 . The computer-implemented method of claim 8 wherein the similarities between the patient and other patients in the subset of reference cases comprise similarities healthcare treatments received.
11. 11 . A method for adjusting healthcare for a patient, the method comprising: receiving a patient interaction notification for the patient from a healthcare provider system associated with a healthcare provider; providing, to a user device associated with the patient, a set of patient survey questions, wherein the set of patient survey questions prompt the patient for inputs based on a patient experience with the healthcare provider during a healthcare interaction, and wherein each individual patient survey question in the set of patient survey questions maps to one or more benchmark categories; receiving, from the user device, responses to the set of patient survey questions, wherein the responses comprise score ratings for one or more of the individual patient survey questions; weighting the score ratings in the responses to the set of patient survey questions based at least partially on a mapping between the responses and the one or more benchmark categories; determining one or more patient trust index values for the patient based at least partially on the weighted responses; and determining, based at least partially on the one or more patient trust index values, one or more adjustments to operating protocols at the healthcare provider.
12. 12 . The method of claim 11 , wherein the benchmark categories comprise individual trust with regard to a specific healthcare provider, individual trust with regard to a specific team member of the specific healthcare provider, and institutional trust.
13. 13 . The method of claim 11 , wherein providing the set of patient survey questions comprises dynamically selecting the set of patient survey questions based on a type of healthcare interaction and health data associated with the patient.
14. 14 . The method of claim 13 wherein the health data associated with the patient comprises previous responses to previous patient survey questions and previous healthcare treatments.
15. 15 . The method of claim 11 wherein the set of patient survey questions comprises one or more freeform text entry prompts.
16. 16 . The method of claim 15 , further comprising, for each individual response to one of the one or more freeform text entry prompts, parsing the individual response using a natural language learning model to: identify one or more benchmark categories associated with the individual response; and assign scores to the individual response associated with each of the benchmark categories.
17. 17 . The method of claim 16 , wherein the natural language learning model is trained at least partially on historical responses to surveys that include both numerical response answers and freeform text answers.
18. 18 . The method of claim 11 wherein the one or more adjustments to operating protocols at the healthcare provider include providing a follow-up notification to the patient, and wherein the method further comprises automatically sending the follow-up notification to the patient.
19. 19 . A computer-implemented method, comprising: receiving a patient interaction notification from a healthcare provider system; transmitting patient survey questions to a patient device, wherein the patient survey questions are tailored based on at least one of: a type of healthcare interaction; historical patient data; and institutional historical data; receiving patient survey responses from the patient device; adjusting the patient survey responses according to a plurality of benchmark categories associated with the patient survey questions, wherein adjusting the patient survey responses is based on the historical patient data; determining a patient trust index value from the adjusted patient survey responses; and outputting the patient trust index value to a healthcare provider device to enable adjustments to healthcare delivery at the healthcare provider.
20. 20 . The computer-implemented method of claim 19 wherein at least a portion of the historical patient data includes previous trust index scores between the patient and one or more other healthcare providers.

Description

CROSS-REFERENCE TO RELATED APPLICATION This application claims the benefit of priority pursuant to 35 U.S.C. § 119(e) of U.S. Provisional Patent Application No. 63/716,125, Nov. 11, 2024, entitled “Health Platform Trust Index System,” which is hereby incorporated by reference herein in its entirety. TECHNICAL FIELD The present technology is generally directed to providing individualized healthcare and more specifically to systems and methods for dynamically updating healthcare to improve patient outcomes. BACKGROUND There are high levels of mistrust in healthcare. Often primary care providers have trust individually, but generally healthcare as a whole has low trust. For example, many people are skeptical of healthcare as an industry. Building trust with patients may change this overall view of health care systems and reduce skepticism. There is a gap in the healthcare industry as to how to understand what trust is, how to accurately measure it, and how to use it to drive systemic change. Further, many healthcare systems, such as scheduling platforms, patient health record systems, and the like, may further negatively impact patient trust. There may be benefits from increasing trust in the healthcare system. Increased trust may result in patients being more likely to follow medical advice, such as following a diabetes regimen, and more likely to share health-related information, such as emergency room discharges. As a result, the cost of health care may be lowered. Various health services software platforms, such as scheduling platforms, outreach tools, and the like, do not take into account patient trust, reducing patient engagement and results. SUMMARY In one embodiment, a computer implemented method is disclosed. The method includes receiving a patient interaction notification for a patient from a healthcare provider for the patient; transmitting a plurality of patient survey questions to a user device associated with the patient, wherein the plurality of patient survey questions based on a patient experience with the healthcare provider during the health event and comprise benchmark categories related to the healthcare experience; receiving patient survey responses from the user device for the plurality of survey questions; weighting the patient survey responses based on the benchmark categories; determining a patient trust index value for the patient using the weighted patient survey responses; and outputting the patient trust index value to a provider device. In another example, the computer implemented method includes transmitting automatically an action notification to the healthcare provider based on the trust index value. For example, the action notification may recommend that a follow-up notification be transmitted to the patient because the trust index value associated with the patient is below a threshold value. The follow-up notification may be a text message, an email with additional survey questions, and/or a telephone call from a care team member to identify ways to improve the patient's experience. 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 to limit the scope of the claimed subject matter. A more extensive presentation of features, details, utilities, and advantages of the present invention as defined in the claims is provided in the following written description of various embodiments and implementations and illustrated in the accompanying drawings. BRIEF DESCRIPTION OF DRAWINGS FIG. 1 illustrates an example system including a trust index system in accordance with various embodiments of the disclosure. FIG. 2 illustrates an example process for generation of a trust index value for a patient of a healthcare provider. FIG. 3 depicts an example patient survey landing page as displayed on a patient device according to some embodiments of the disclosure. FIG. 4 depicts an example patient survey question page as displayed on a patient device according to some embodiments of the disclosure. FIG. 5 depicts an example patient survey question page as displayed on a patient device according to some embodiments of the disclosure. FIG. 6 depicts an example patient survey question page as displayed on a patient device according to some embodiments of the disclosure. FIG. 7 depicts an example patient survey question page as displayed on a patient device according to some embodiments of the disclosure. FIG. 8 depicts an example patient survey question page as displayed on a patient device according to some embodiments of the disclosure. FIG. 9 depicts an example patient survey question page as displayed on a patient device according to some embodiments of the disclosure. FIG. 10 depicts an example patient survey question page as displayed on a patient device according t