公开(公告)号：US20230123221A1

公开(公告)日：2023-04-20

申请号：US17968296

申请日：2022-10-18

Applicant: Integer Health Technologies, LLC

Inventor： Jack McCallum ,  Scott Roloff ,  William McCallum ,  Ken Grifno

IPC: G16H40/20 ,  G06F16/2457

Abstract: A navigation engine for medical and/or pharmacy claims (in combination with employer human resource records or on a stand-alone basis) that quantifies healthcare outcomes and ranks healthcare providers and other healthcare items by root diagnosis based on their overall average claims per healthy day (i.e., clinical efficiency). Claims per healthy day is the adjusted claims cost per day to keep a patient healthy (or in the case of an employer, keep an employee at work), so the lower, the better. The navigation engine uses drop-down menus and/or similar techniques that require the user to select a root diagnosis on which to search, as well as other variables (e.g., provider category, geographic proximity, in-network versus in or out of network, etc.), turning an open-ended question, e.g., “Which doctor should I go to for back pain?” to a closed-ended one “Which surgeons in my network within 25 miles have the best outcomes for back surgery?”

公开(公告)号：US20220359067A1

公开(公告)日：2022-11-10

申请号：US17864631

申请日：2022-07-14

Applicant: Integer Health Technologies, LLC

Inventor： Jack McCallum ,  Scott Roloff ,  William McCallum ,  Ken Grifno

IPC: G16H40/20 ,  G16H50/70 ,  G06Q30/02

Abstract: A machine learning system and method utilizing artificial intelligence that improves the provisioning of healthcare and reduces the total cost of healthcare and lost productivity. The approach creates a quantifiable assessment of quality and a ranking number measuring a provider's quality of healthcare services. The machine learning system makes a determination of quality based on a clinical evaluation database, an employee related time and attendance database, and a costing database. The system analyzes how quickly a provider returns an employee to work at or near pre-absence productivity and at what cost. The system creates a ranking number that provides employees with a comparison of providers. Employees may then be incentivized to seek high value providers.

公开(公告)号：US12159708B2

公开(公告)日：2024-12-03

申请号：US17864631

申请日：2022-07-14

Applicant: Integer Health Technologies, LLC

Inventor： Jack McCallum ,  Scott Roloff ,  William McCallum ,  Ken Grifno

IPC: G16H40/20 ,  G06Q30/0201 ,  G16H50/70

Abstract: A machine learning system and method utilizing artificial intelligence that improves the provisioning of healthcare and reduces the total cost of healthcare and lost productivity. The approach creates a quantifiable assessment of quality and a ranking number measuring a provider's quality of healthcare services. The machine learning system makes a determination of quality based on a clinical evaluation database, an employee related time and attendance database, and a costing database. The system analyzes how quickly a provider returns an employee to work at or near pre-absence productivity and at what cost. The system creates a ranking number that provides employees with a comparison of providers. Employees may then be incentivized to seek high value providers.

公开(公告)号：US12191022B2

公开(公告)日：2025-01-07

申请号：US17855694

申请日：2022-06-30

Applicant: Integer Health Technologies, LLC

Inventor： Scott Roloff ,  Ken Grifno ,  Jack McCallum ,  William McCallum

IPC: G16H20/30 ,  G06Q10/06

Abstract: A method and/or system that is a navigation engine with a visual interface that evaluates wellness programs based on their effect on the participants' healthcare costs and absences from work, and then calculates the programs' ROIs (Returns on Investment). The engine can also generate a list of employees and/or other individuals who could benefit from a wellness program but who are not participating, and the impact on the healthcare costs, medically-related absence costs and ROI if they did. In addition, the engine can recommend wellness and safety programs that have not been implemented, but should be, along with the impact such programs could have on the medical and pharmacy claims and medically-related absences.

公开(公告)号：US20170185723A1

公开(公告)日：2017-06-29

申请号：US15225503

申请日：2016-08-01

Applicant: Integer Health Technologies, LLC

Inventor： Jack McCallum ,  Scott Roloff ,  William McCallum ,  Ken Grifno

IPC: G06F19/00

CPC classification number: G06F19/328 ,  G16H10/60 ,  G16H50/20

Abstract: A machine learning system and method utilizing artificial intelligence improves the provisioning of healthcare and reduces the total cost of healthcare and lost productivity. The approach creates a quantifiable assessment of quality and a ranking number measuring a provider's quality of healthcare services. The machine learning system makes a determination of quality based on a clinical evaluation database, an employee related time and attendance database, and a costing database. The system analyzes how quickly a provider returns an employee to work at or near pre-absence productivity and at what cost. The system creates a ranking number that provides employees with a comparison of providers. Employees may then be incentivized to seek high value providers.