29 results about "Patient Encounter" patented technology

A machine learning-based clinical workflow system processes patient encounter data to generate structured data records and predicted diagnosis classification codes. The system may obtain an input record, generate vector embeddings, and identify reference records using vector similarity operations. A machine learning (ML) component may generate a structured data record based on the input and reference records. The system may also generate an ML instruction, identify reference codes, and produce a predicted code. The predicted code may include a predicted diagnosis classification code, a predicted procedural code, or a billing code. Vector databases storing embeddings of medical codes and records may facilitate efficient retrieval of relevant information. Some implementations may include prediction of billing codes to address revenue capture. Some implementations may utilize specialty-specific processes and data to enhance accuracy for particular medical fields. The system may incorporate clinician feedback to continuously improve performance and adapt to evolving healthcare practices.

A system and a method for automatically assisting physicians during patient encounters includes transcribing and diarizing physician-patient interactions, extracting clinical concepts, and combining data with patient history data to provide suggestions to the physicians. A speech and gesture recognition module captures audio from patient-doctor interactions and transcribes the audio into text in real-time. A natural language processing module diarizes the transcribed text to attribute speech. A clinical concept extraction module identifies and extracts clinical concepts from transcription. A clinical recommendation module integrates real-time data with historical patient records and analyzes the combined data set to generate evidence-based suggestions to the physician. A physician's own historical data is validated to generate a unique profile for each physician. Interactions with the physician are analyzed to understand decision-making patterns. The physician's profile is updated and future physician decisions are forecast based on past behavior.

A machine learning-based clinical workflow system processes patient encounter data to generate structured data records and predicted diagnosis classification codes. The system may obtain an input record, generate vector embeddings, and identify reference records using vector similarity operations. A machine learning (ML) component may generate a structured data record based on the input and reference records. The system may also generate an ML instruction, identify reference codes, and produce a predicted code. The predicted code may include a predicted diagnosis classification code, a predicted procedural code, or a billing code. Vector databases storing embeddings of medical codes and records may facilitate efficient retrieval of relevant information. Some implementations may include prediction of billing codes to address revenue capture. Some implementations may utilize specialty-specific processes and data to enhance accuracy for particular medical fields. The system may incorporate clinician feedback to continuously improve performance and adapt to evolving healthcare practices.

A method can involve receiving input data relevant to a patient encounter such that the input data may be compliant with a standard for exchanging healthcare information. The method may involve determining a subset of functions from a plurality of functions based on parameters associated with the patient encounter, conditions met by the input data, or a consuming system that received a customized report and for each function in the subset of functions, the method may perform at least one transformation on the input data such that performing the at least one transforming comprises producing an assigned dynamic value from among the plurality of dynamic values associated with the function. The method may involve automatically generating the customized report for the patient encounter based on the assigned dynamic values from each function in the subset of functions and transmitting an order request to order a lab test.

A method of generating a user interface for use in documenting a patient encounter comprises: automatically identifying, with a computing device, at least one documentation protocol based on at least one element of the patient's medical record; and generating a user interface including at least one of the identified documentation protocols, the at least one identified documentation protocol identifying at least one medical finding. A system comprises a data store encoded on a memory device, the data store comprising documentation protocols. The system further comprises an input apparatus. A computing device is in data communication with the data store and the input apparatus. The computing device is programmed to receive findings input through the input apparatus, identify a documentation protocol based on the finding input through the input apparatus, and generate a user interface. The user interface comprising the identified documentation protocol.

The invention relates to the technical field of walking aids, in particular to an anti-falling walking aid which comprises four sets of fixing frames, telescopic rods are movably connected into the fixing frames, handrails are fixedly connected to the upper ends of the telescopic rods, sliding grooves are formed in the inner sides of the four sets of fixing frames, and pulleys A are movably connected to the lower ends of the fixing frames; the side, away from the pulley A, of the lower end of the fixing frame is movably connected with a pulley B. When a patient encounters a landslide which cannot be observed or stands unstably during use, the equipment moves too fast, the push rod can be pushed out, the friction plate makes contact with the pulley A, the friction force of the pulley A is increased, and therefore the equipment stops, and the patient is prevented from falling down; meanwhile, when the patient knows that the walking aid is in an emergency, protection measures can be rapidly taken, the patient can have a sense of safety in the using process, confidence of the patient in outdoor activities and rehabilitation training is enhanced, and the life quality and the rehabilitation effect of the patient can be improved.

1. The name of the design product: nursing call. 2. The use of the design product: the design product is used for the call of the callers for the relevant nursing staff when the patients encounter emergency. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

The embodiment of the utility model provides a breathing machine device. The breathing machine device at least comprises a breathing machine body, a conduction pipe, an atomization assembly and a mask. The communicating pipe is connected between the breathing machine body and the mask, and the breathing machine body inputs gas into the mask through the communicating pipe; a detection module and a control module are arranged in the breathing machine body, the detection module is used for detecting an output signal of gas, and the output signal is flow and / or pressure; the atomization assembly is communicated with the conducting pipe; the control module is electrically connected with the detection module and the atomization assembly, the detection module sends a detected gas output signal to the control module, and the control module is used for controlling the atomization assembly to convey or stop conveying the atomized medicine into the communicating pipe. According to the embodiment, the problem that in the using process of an existing breathing machine device, when a patient encounters an emergency, the patient cannot be connected into atomization equipment in time, and then risks are brought to treatment is solved.

One variation of a method for retrieving patient data for an encounter between a patient and a provider includes, at a first time during the encounter: receiving an indicator exhibited by the patient; querying a diagnostic model for a set of possible diagnoses for the patient based on the indicator; populating a first data request with a patient identifier, a set of evidence types supporting the possible diagnoses, and a time period; and rendering patient data—received responsive to the first data request—within the provider portal. This variation of the method further includes, at a second time succeeding the first time: populating a second data request with the patient identifier and the first time period; and rendering patient data—received responsive to the second data request—within the provider portal.

A system for consolidating medical data from multiple devices involved in a patient encounter is provided. The system includes a mobile computing device that acquires, via a medical device interface, identifiers of each medical device, generates association information including the one or more identifiers, and transmits the association information to a server. The server receives and stores one or more medical device case files from the medical devices, receives the association information from the mobile computing device, associates the one or more medical device case files with one another, and produces an integrated data source encounter structure including case data from the one or more medical device case files for subsequent processing.

The utility model relates to the technical field of medical call switches, and discloses a portable medical call switch which comprises a pager, a protective shell is arranged on the outer wall of the pager, a rubber strip is fixedly connected in the protective shell, the pager is in contact with the rubber strip, a fixed block is fixedly connected in the protective shell, and the fixed block is in contact with the pager. A fixing block is fixedly connected to the outer wall of the protective shell, a supporting shaft is rotatably connected to the interior of the fixing block, a locking assembly is arranged on the outer wall of the supporting shaft, a connecting frame is fixedly connected to the outer wall of the protective shell, a portable assembly is arranged on one side of the connecting frame, the locking assembly comprises a clamping rod, and the clamping rod is rotatably connected to the outer wall of the supporting shaft. According to the utility model, the calling device is fixedly arranged in the protective shell and is matched with the design of the hanging rope, so that a patient can carry the calling switch, the effect that the patient can carry out calling operation at any time is realized, and the problem that a help seeking signal cannot be sent to medical personnel or family members in time when the patient encounters an emergency outside an area is solved.

The present invention relates to the field of medical prediction technology, specifically a system for predicting general anesthesia symptoms based on patient data, the system comprising: a state monitoring module that collects the patient's heart rate and blood pressure parameters, records the continuous time point data during the operation, tracks the state changes, and obtains the state change tracking results. In the present invention, by analyzing the continuous physiological data of the patient during the operation, the accuracy of the prediction of anesthesia complications is improved, the slight changes in the physiological state are monitored in real time and the correlation analysis is performed with the effects of anesthetics, so that the ability to predict potential risks is enhanced, and through the real-time updated conditional probability calculation, not only the insight into key risk points is increased, but also data support is provided for the decision-making of the medical team, thereby effectively reducing the probability of patients encountering adverse events during the operation, and optimizing the risk assessment in combination with historical data, the overall safety of the operation process is guaranteed, and the treatment effect on the patient is significantly improved.

A healthcare charge capture and prioritization system for assisting healthcare providers with capturing their procedures and prioritizing code selection for claim submission is presented. The system can analyze healthcare claim-related data for ranking and ordering Current Procedural Technology (CPT) and International Statistical Classification of Diseases and Related Health Problems (ICD) codes to reduce the utilization of additional processing resources and network utilization from repeated system denials. Additionally; the present disclosure can generate and track analytics relevant to a patient encounters and provider action, It is an object of the invention to provide a system for processing and managing patient interactions, processing and managing healthcare-related charge entry, processing and prioritizing healthcare-related procedure technology codes, and processing and prioritizing disease and related health problem codes.

Systems and methods for providing a financial / clinical data interchange are provided. The financial / clinical data interchange provides a distributed implementation to a secure hash key (i.e., a token) and value pair data derived from a medical claim (e.g., patient identification, submitter identification, payer identification, encounter identification, and the like) and enriched with submitter-based domain data. The token may be used as a data attribute in an API that unlocks a pointer to the value (e.g., a fast healthcare interoperability resources (FHIR) uniform resource identifier (URI) to the patient encounter associated with the claim) to leverage a FHIR query for all documented medical records associated with the claim the payer is authorized by the submitter to view.

Computer-implemented techniques are disclosed for constructing, augmenting, and utilizing graph-structured or other linked representations of data elements and associations derived from one or more sources to enable accurate, timely enrichment and analysis across multi-stage or other processing workflows. An intermediate representation of patient-specific data can be obtained. The intermediate representation can be processed to extract condition-related and medication-related information relevant to a patient encounter. Outputs can be processed to further filter and contextualize subsets of the condition-related and medication-related information. One or more filtering techniques including a knowledge-graph-based filtering technique can be applied. A clinical summary that includes facts derived from the intermediate representation can be generated.

Techniques for an autonomous edit process for medical claims are disclosed. An electronic claim associated with a patient encounter is retrieved, along with a flag indicative of the claim being erroneous, and an error report identifying an error condition within the claim. A plurality of heterogeneous electronic medical records associated with the patient encounter is retrieved, the plurality including structured billing codes, structured data, semi-structured data, and / or free-text clinical notes. A feature-extraction engine transforms the plurality of heterogeneous electronic medical records into a unified machine-readable representation including semantic embeddings, which are processed by a trained machine learning (ML) model, to generate a mapping between the error condition and one or more spans within the unified representation. The ML model identifies documentary evidence within the one or more spans that satisfies a model-learned evidentiary relevance condition, and generates one or more machine-formatted corrective actions to resolve the error condition.

A system for generating clinical guidance includes a patient-monitor defibrillator, a sensor configured to measure patient physiologic data for a patient, a mobile device communicatively coupled to the defibrillator and including a display, and a storage medium having stored thereon instructions configured to cause a processor to receive the patient physiologic data from the defibrillator, retrieve a specified clinical scoring configuration, and implement the specified clinical scoring configuration to control a user interface (UI) at the display to display a user interactive scoring control, receive a user selection of the user interactive scoring control, receive score inputs, the score inputs including a value of a physiologic parameter represented in the patient physiologic data, generate score outputs based on the score inputs, display the score outputs, and store the score outputs in a patient encounter file associated with the defibrillator.

The utility model discloses a medical care walking aid which comprises a mounting seat, the inner wall of the mounting seat is fixedly connected with a first hydraulic cylinder, the upper surface of the first hydraulic cylinder is fixedly connected with a sliding column, the lower surface of the mounting seat is rotatably connected with a universal wheel, the outer wall of the sliding column is slidably connected with a guide sleeve, and the guide sleeve is fixedly connected with the mounting seat. A pin hole is formed in the outer wall of the guide sleeve, a second hydraulic cylinder is fixedly connected to the upper end of the sliding column, the front end of the second hydraulic cylinder is slidably connected to the inner wall of the pin hole, a handle is fixedly connected to the inner wall of the guide sleeve, and a first control switch is fixedly connected to the inner wall of the guide sleeve. A second control switch is fixedly connected to the inner wall of the upper portion of the handle. By means of the structure, the second hydraulic cylinder, the sliding column, the guide sleeve and the pin hole are arranged, a telescopic rod of the second hydraulic cylinder can be retracted by controlling a second control switch when the patient encounters stairs, the front-back height of the device can be adjusted under the action of gravity, and therefore the patient can climb the stairs conveniently.

Systems, methods, and computer-readable media are disclosed for processing electronic transactions. In some embodiments, a server computing device may combine parameters of electronic documents expressing multiple patient encounters in a single encounter group; and initiate a call to an application programming interface (API) for creation of one or more electronic documents expressing one or more claims for electronic submission to one or more paying parties based, at least in part, on the combined parameters.

Systems and methods for providing a financial / clinical data interchange are provided. The financial / clinical data interchange provides a distributed implementation to a secure hash key (i.e., a token) and value pair data derived from a medical claim (e.g., patient identification, submitter identification, payer identification, encounter identification, and the like) and enriched with submitter-based domain data. The token may be used as a data attribute in an API that unlocks a pointer to the value (e.g., a fast healthcare interoperability resources (FHIR) uniform resource identifier (URI) to the patient encounter associated with the claim) to leverage a FHIR query for all documented medical records associated with the claim the payer is authorized by the submitter to view.

Computer-implemented tools, techniques, and algorithms are provided for meeting financial targets in connection with medical procedures (e.g., surgical operations) performed by a healthcare entity. A method for restructuring classification of multiple medical procedures for a healthcare entity may be provided in which medical procedure data including charge related data are collected in association with multiple patient encounters for a medical procedure. A data model is created from the collected data and a predetermined number of procedure charge levels are generated each in association with an acuity resource value range. Each medical procedure is then reclassified into one of the procedure charge levels in accordance with at least one level assignment rule. This reclassification can then be processed to determine whether it results in a predetermined desired data distribution and / or meets financial targets for the medical procedure charge data.

A medical record system and method are disclosed which enables a SOAP note for a patient encounter to be generated and stored in an electronic medical record for the patient. The content of the SOAP note is initially auto-populated by the system in response to information received from the patient and the practitioner.

The utility model discloses an integrated medical wrist strap which comprises a wrist strap body, one end of the wrist strap body is provided with a snap fastener, the other end of the wrist strap body is provided with positioning holes distributed in a linear array mode, the surface of the middle of the wrist strap body is provided with an information management area, the left side of the information management area is provided with a patient information column, the upper portion of the right side of the information management area is provided with a bar code recognition area, and the lower portion of the information management area is provided with a temperature sensing coating. The information management area extends towards the outer side of the width direction of the wrist strap body to be provided with a function expansion part, the function expansion part is detachably connected with a function strap, and one side of the surface of the function strap is provided with an infusion tube fixing strap and a sound alarm device. Basic information of a patient, a bar code, the infusion tube fixing band, the temperature sensing coating and the buzzer assembly are integrated, when the temperature of the patient is higher than a preset value, the coating becomes red, and the patient and medical staff can take measures in time conveniently; when a patient encounters an accident and needs to call, a power supply contact of the buzzer assembly can be switched on, buzzing alarm sound is given out, attention of surrounding medical staff is aroused, and therefore the patient can get rid of danger as soon as possible.

A method, computer program product, and computing system for obtaining, by a computing device, encounter information of a patient encounter, wherein the encounter information may include audio encounter information obtained from at least a first encounter participant. The audio encounter information obtained from at least the first encounter participant may be processed. A user interface may be generated displaying a plurality of layers associated with the audio encounter information obtained from at least the first encounter participant. A user input may be received from a peripheral device to navigate through each of the plurality of layers associated with the audio encounter information displayed on the user interface.

The multifunctional intelligent medical wheelchair comprises a wheelchair body, a connecting mechanism and a walking mechanism, the wheelchair body comprises a supporting frame, armrest frames and vertical rods, the two vertical rods are connected through a backrest assembly, and a brake assembly is fixedly installed on the side, away from the vertical rods, of the top of the supporting frame; supporting leg assemblies are installed on the outer sides of the ends, away from the vertical rods, of the supporting frames. The wheelchair body and the walking mechanism are connected through the rolling wheels and the arc-shaped grooves in the arc-shaped blocks, when the walking mechanism moves on the slope, a user can adjust the rolling wheels in the arc-shaped grooves according to the weight of the user, and then it is ensured that the user automatically conducts horizontal adjustment on the wheelchair body; and the patient transmits information to a department background by operating the alarm module, so that the department can know that the patient encounters a difficulty or an emergency at present, and the patient can be quickly found in cooperation with the positioning module.

A healthcare charge capture and prioritization system for assisting healthcare providers with properly and accurately capturing procedures and prioritizing code selection for claim submission, generally. The present invention that is a charge capture system can analyze healthcare claim-related data and usage data for ranking and ordering Current Procedural Technology (CPT) and International Statistical Classification of Diseases and Related Health Problems (ICD) codes to reduce the utilization of additional processing resources and network utilization from repeated system denials. Additionally, the present disclosure can generate and track analytics relevant to patient encounters and provider action for processing and managing patient interactions, processing and managing healthcare-related charge entry, processing and prioritizing healthcare-related procedure technology codes, and processing and prioritizing disease and related health problem codes for prioritized and efficient selection by a provider.

A method may include receiving a selection of an order associated with a patient. A scannable token, such as a barcode, may be generated for interacting with one or more medical devices involved in a patient encounter to fulfill the order. In some cases, the same scannable token may be further associated with one or more additional patient encounters associated with the same patient or different patients and conducted by a same clinician or different clinicians. The scannable token may be sent to a client device. In response to the scannable token being scanned at the one or more medical devices, at least a portion of information associated with the order may be sent to the one or more medical devices. Related methods and articles of manufacture are also disclosed.

A computerized system processes the speech of a physi- cian and a patient during a patient encounter to automatically produce a draft clinical report which documents the patient encounter. The draft clinical report includes information that has been abstracted from the speech of the physician and patient. The draft report is provided to the physician for review. Producing the draft clinical report automatically, rather than requiring the physician to prepare the draft clinical report man- ually, significantly reduces the time required by the physician to produce the final version of the clinical report.

A method of generating a user interface for use in documenting a patient encounter comprises: automatically identifying, with a computing device, at least one documentation protocol based on at least one element of the patient's medical record; and generating a user interface including at least one of the identified documentation protocols, the at least one identified documentation protocol identifying at least one medical finding. A system comprises a data store encoded on a memory device, the data store comprising documentation protocols. The system further comprises an input apparatus. A computing device is in data communication with the data store and the input apparatus. The computing device is programmed to receive findings input through the input apparatus, identify a documentation protocol based on the finding input through the input apparatus, and generate a user interface. The user interface comprising the identified documentation protocol.