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公开(公告)号：US20240363217A1
公开(公告)日：2024-10-31
申请号：US18767726
申请日：2024-07-09
发明人： Akeem Akinola , Lindsey McFetridge , Jeremy Flores , Wes Dembinski , Grace Schreur , Zach O'Bea , John Scheeser , Sara Boswell
CPC分类号： G16H20/30 , G06F16/2379 , G16H10/60
摘要： Systems, methods, and user interfaces provide integrated coordination of care. Care team coordination and collaboration is promoted by bringing together each of the necessary elements of a patient's plan into a single point of access. Current workflow silos that exist in the care planning space are eliminated. This allows seamless support for the many different care planning regulations across care settings and supports and involves the entire care team including the patient and personal care team.
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公开(公告)号：US20240282311A1
公开(公告)日：2024-08-22
申请号：US18651994
申请日：2024-05-01
发明人： Allison Michelle Thilges , Neil Curtis Pfeiffer , Eslie Rolland Phillips, III , Geoffrey Harold Simmons
摘要： Methods, systems, and computer-readable media for rapid event voice documentation are provided herein. The rapid event voice documentation system captures verbalized orders and actions and translates that unstructured voice data to structured, usable data for documentation. The voice data captured is tagged with metadata including the name and role of the speaker, a time stamp indicating a time the data was spoken, and a clinical concept identified in the data captured. The system automatically identifies orders (e.g., medications, labs and procedures, etc.), treatments, and assessments/findings that were verbalized during the rapid event to create structured data that is usable by a health information system and ready for documentation directly into an EHR. The system provides all of the captured data including orders, assessment documentation, vital signs and measurements, performed procedures, and treatments, and who performed each, available for viewing and interaction in real time.
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公开(公告)号：US20240281887A1
公开(公告)日：2024-08-22
申请号：US18192099
申请日：2023-03-29
发明人： Monica Gaur , Suman Pal , Rupanjali Chaudhuri , Oshin Benny Anto , Kalaivanan R , Andrew Roberts
IPC分类号： G06Q40/08
CPC分类号： G06Q40/08
摘要： Techniques for predicting, by a machine learning model, reimbursement characteristics associated with healthcare services are disclosed. A system trains a machine learning model to estimate characteristics of a predicted reimbursement associated with a healthcare service. The predicted reimbursement may be generated by applying the trained machine learning model to healthcare services data prior to the generation of medical claims, or subsequent to the generation of medical claims. The system generates recommendations for modifying one or more of healthcare services, recorded descriptions of healthcare services, and medical claims based on the healthcare services in response to the machine learning model predictions.
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公开(公告)号：US12057228B1
公开(公告)日：2024-08-06
申请号：US15392040
申请日：2016-12-28
发明人： Douglas S. McNair
摘要： Systems, methods and computer-readable media are provided for identifying patients having an elevated near-term risk of chronic kidney disease (CKD) progression, including predicting an individual's risk of progression to Stage 3 CKD within a future time interval, which may be up to 36 months. Based on the prediction, appropriate care providers may be notified so that the risk of CKD progression may be mitigated. In an embodiment, measurements of physiological variables are obtained, including serial measurements for uric acid levels from a longitudinal time series of serum or plasma samples spanning the previous two to five years. An annualized uric acid velocity of the patient is determined and used to generate a multivariable mathematical model for determining a likelihood of risk for developing Stage 3 CKD within 36 months.
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公开(公告)号：US12057218B2
公开(公告)日：2024-08-06
申请号：US16998133
申请日：2020-08-20
IPC分类号： G16H40/20 , G06Q10/0631 , G06Q10/0637 , G06Q10/10 , G06Q10/101 , G06Q10/105 , G06Q10/109 , G06Q40/12 , G16H10/60
CPC分类号： G16H40/20 , G06Q10/063112 , G06Q10/06375 , G06Q10/101 , G06Q10/103 , G06Q10/105 , G06Q10/109 , G06Q40/12 , G16H10/60
摘要： Methods, computer systems, and computer storage media are provided for utilizing system diagnostics focused in areas of disruption to improve inventory and workforce management in a revenue cycle management system. Diagnostic data is utilized to automatically identify disruptions in the revenue cycle management system across a plurality of clients. The disruptions are automatically ranked based on an impact to the revenue cycle management system and a time required to execute a correction for each disruption. A recommendation is provided for the client to execute the correction for each disruption.
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公开(公告)号：US12045894B2
公开(公告)日：2024-07-23
申请号：US18235492
申请日：2023-08-18
IPC分类号： G06Q40/08 , G06F18/213 , G06N20/00 , G06Q20/40 , G16H10/60
CPC分类号： G06Q40/08 , G06F18/213 , G06N20/00 , G06Q20/401 , G16H10/60
摘要： Methods, computer systems, and computer storage media are provided for utilizing machine learning to predict health plans. A machine learning model is trained to predict valid combinations of employer-payer-health plan in response to one or more missing identifiers based on transaction data from electronic data interchange (EDI) insurance transactions that include valid combinations of employer identifier, payer identifier, and health plan identifier. In response to a request to identify a valid combination based on at least one missing identifier, at least one known identifier corresponding to an employer name, a payer name, or a health plan name is inputted and work location data associated with a patient. The machine learning model generates and displays on a user interface, a predicted set of one or more valid combinations of employer-payer-health plans that correspond to the one known identifier and the work location information that is inputted.
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7.发明授权公开(公告)号：US12027269B2
公开(公告)日：2024-07-02
申请号：US17103404
申请日：2020-11-24
摘要： Methods, systems, and computer-readable media are disclosed herein for automatically identifying and selecting, based on machine learning model(s), one or more patient educations instructions as suggested smart recommendations for a particular patient, based on parameter matching and filtering with other patient parameters. The parameters of a current patient can be automatically matched to parameters that are associated with other patients, on a one-to-one parameter basis or based on specific combinations parameters. Based on the presence of one or more shared parameters between a current patient and other patients as well as the strength of the parameter match, one or more instructions that were provided to the other patients can be recommended for the current patient automatically. Instruction(s) selected for the current patient can then be stored in association with the parameters of the current patient and used to evaluate and make recommendations for subsequent patients.
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公开(公告)号：US12020819B2
公开(公告)日：2024-06-25
申请号：US18173468
申请日：2023-02-23
IPC分类号： G16H50/20
CPC分类号： G16H50/20
摘要： A system, method, and computer-readable media are provided for facilitating clinical decision making, and in particular, facilitating treatment of a person having congestive heart failure. The method includes the step of receiving patient information for a patient and using at least one solver to determine a patient condition or recommended treatment based on patient parameters or patient information.
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公开(公告)号：US12014819B2
公开(公告)日：2024-06-18
申请号：US17950715
申请日：2022-09-22
发明人： Todd Bechtel , Chad G. Hays , Amanda Sleightholm
摘要： Systems and methods are provided for managing patient assistance requests in a healthcare facility, documenting items (e.g., minor, routine, and/or frequently-performed items) in association with a patient's records in an Electronic Healthcare Information System, and cancelling patient requests for assistance. Indications that requests for assistance have been received and/or are being addressed by an appropriate healthcare team member may be audibly output from a speaker associated with a personal assistant device. Healthcare team members may verbally provide items for documentation in association with a patient's medical records, the items for documentation being received by a listening component of a personal assistant device and transmitted to an EHIS for documentation. Healthcare team members may verbally cancel patient requests for assistance upon the healthcare team member addressing the request and, in some instances, verification of the healthcare team member as an approved source for documenting the item(s) in association with the patient.
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公开(公告)号：US11990138B2
公开(公告)日：2024-05-21
申请号：US18314513
申请日：2023-05-09
发明人： Allison Michelle Thilges , Neil Curtis Pfeiffer , Eslie Rolland Phillips, III , Geoffrey Harold Simmons
摘要： Methods, systems, and computer-readable media for rapid event voice documentation are provided herein. The rapid event voice documentation system captures verbalized orders and actions and translates that unstructured voice data to structured, usable data for documentation. The voice data captured is tagged with metadata including the name and role of the speaker, a time stamp indicating a time the data was spoken, and a clinical concept identified in the data captured. The system automatically identifies orders (e.g., medications, labs and procedures, etc.), treatments, and assessments/findings that were verbalized during the rapid event to create structured data that is usable by a health information system and ready for documentation directly into an EHR. The system provides all of the captured data including orders, assessment documentation, vital signs and measurements, performed procedures, and treatments, and who performed each, available for viewing and interaction in real time.
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