Abstract: Systems and methods for more accurate prediction of the treatment outcome for immune therapy using checkpoint inhibitors are presented in which omics data of a patient tumor sample are used. In one aspect, a pathway signature is identified as being associated with immune suppression and as being responsive to treatment with immune checkpoint inhibitors.

Abstract: The invention relates to a method for identifying one or more polymorphisms in nucleic acid samples, comprising: (a) performing a reproducible complexity reduction on a plurality of nucleic acid samples to provide a plurality of libraries of the nucleic acid samples comprising amplified fragments, wherein the reproducible complexity reduction comprises amplifying fragments of the nucleic acid samples using one or more primers to obtain the amplified fragments, and wherein the amplified fragments in each library comprise a unique identifier sequence to indicate origin of each library obtained by the reproducible complexity reduction; (b) combining the plurality of libraries to obtain a combined library and sequencing at least a portion of the combined library to obtain sequences; (c) aligning the sequences to obtain an alignment; and (d) identifying one or more polymorphisms in the plurality of nucleic acid samples.

Abstract: The disclosure provides methods to assemble genomes of eukaryotic or prokaryotic organisms. The disclosure further provides methods for haplotype phasing and meta-genomics assemblies.

Abstract: Systems and methods to characterize one or more microorganisms or DNA fragments thereof are disclosed. Exemplary methods and systems use comparison of DNA sequencing information to information in one or more databases to characterize the one or more microorganism or DNA fragments thereof. Exemplary systems and methods can be used in a clinical setting to provide rapid analysis of microorganisms that may be a cause of infection.

Abstract: Embodiments of a method and/or system can include generating a co-amplified mixture based on co-amplifying a set of nucleic acid molecules (e.g., cell-free nucleic acids, etc.) from the biological sample, wherein the set of nucleic acid molecules includes a genomic region of interest associated with the medical condition; and a homologous native genomic region with partial sequence similarity to the genomic region of interest; sequencing the co-amplified mixture; determining an abundance metric for the genomic region of interest and an abundance metric for the homologous native genomic region; and/or facilitating the characterization of the medical condition based on the abundance metric for the genomic region of interest and the abundance metric for the homologous native genomic region.

Abstract: A system, method and apparatus for executing a sequence analysis pipeline on genetic sequence data includes an integrated circuit formed of a set of hardwired digital logic circuits that are interconnected by physical electrical interconnects. The hardwired digital logic circuits are arranged as a set of processing engines, each processing engine being formed of a subset of the hardwired digital logic circuits to perform one or more steps in the sequence analysis pipeline on the reads of genomic data. In various instances, each subset of the hardwired digital logic circuits may be formed in a wired configuration to perform one or more steps a variant call operation.

Abstract: The technology concerns methods and compositions for diagnosing obstructive sleep apnea, a common condition observed in children. In certain embodiments, there are methods and compositions relating to the use of novel biomarkers to diagnose obstructive sleep apnea.

Abstract: The present systems and methods introduce deep learning to de novo peptide sequencing from tandem mass spectrometry data, and in particular mass spectrometry data obtained by data-independent acquisition. The systems and methods achieve improvements in sequencing accuracy over existing systems and methods and enables complete assembly of novel protein sequences without assisting databases. To sequence peptides from mass spectrometry data obtained by data-independent acquisition, precursor profiles representing intensities of one or more precursor ion signals associated with a precursor retention time and fragment ion spectra representing signals from fragment ions and fragment retention times are fed into a neural network.

Abstract: Systems and methods are described for modifying a cosmetic product based on a microbe profile including an ingredient-microbe interaction dataset including information associated with interactions between reference cosmetic ingredients and types of reference microbes; and a computing device including circuitry configured to receive information associated with the microbe profile of an individual, receive information associated with an ingredient list of the cosmetic product, compare the microbe profile of the individual and the ingredient list of the cosmetic product to the ingredient-microbe interaction dataset, identify an interaction between at least one cosmetic ingredient in the ingredient list of the cosmetic product and at least one of the one or more types of microbes in the microbe profile of the individual, recommend a modification to the ingredient list in response to an identified interaction, and report to a user the recommended modification.

Abstract: Aspects of the present disclosure relate to computing systems and computational methods for docking a library of compounds against a massive amount of conformations of a protein of interest.

Abstract: Therapies compared in clinical studies can he assessed through the determination of a hazard ratio for long term response between a first a first therapy and a second therapy. Previously, the hazard ratio was determined after a long-term clinical study is conducted to determine the proportion of patients exhibiting a long-term response, such as event free survival or overall survival. Such long-term studies are often cumbersome and expensive. It is has been found that the hazard ratio for long-term response between a first therapy and a second therapy can be determined based on the proportion of patients in a first population of patients receiving the first therapy that exhibit a pathological complete response, the proportion of patients in a second population of patients receiving the second therapy that exhibit the pathological complete response, a patient level effect, and a residual trial level effect.

Abstract: An apparatus and system for laboratory blood sample ordering, collection, and processing is described. The apparatus and system include a central computer processor, a provider user interface connected to the central computer processor, a test profile database connected to the central computer processor, and a schedule database connected to the central computer processor. An order for a blood laboratory test generates collection parameters based upon test type and the time a result is required. The system generates collection parameters, including a sample reserve fraction sufficient to provide sample for predicted future tests. Test results are communicated to the requesting provider and entered into the patient's electronic medical record. Additional sample collection is ordered if the sample reserve fraction is insufficient for subsequent requested tests.

Abstract: An electronic processor (14) is programmed to perform integration (16) of N anonymized healthcare databases (10). For in a pair of databases (i,j) of the N anonymized healthcare databases, a set of features is identified (44) each contained in both databases i and j of the pair of databases (i,j). A conversion table is generated (46, 48) that matches patients of the pair of databases based on patient similarity measured by the set of features. The identifying and generating operations are repeated (50) for each unique pair of databases of the N anonymized healthcare databases to generate N(N 1)/2 conversion tables (20). The electronic processor is further programmed to perform a patient data retrieval process (18) which receives a patient ID of a patient in one of the N anonymized healthcare databases and retrieves patient data for the patient contained in the N anonymized healthcare databases using the N(N?1)/2 conversion tables.

Abstract: The disclosure describes a patient registry data system that can be used to aggregate clinical, molecular, and immune parameters involved in disease initiation, progression, and response to treatment. The disclosure can allow participants, researchers, and physicians to visualize data based on parameters, such as participant demographics and immune system data.

Abstract: The present disclosure provides methods of providing a continuity of care for a patient during transfer between care settings. The method includes the steps of deciding to transfer a patient from a first care setting to a second care setting, performing a first assessment of the patient in the first care setting, preparing a transfer record of the assessment, and transferring the transfer record with the patient to the second care setting.

Abstract: An automatic data collection system tracks medical articles by providing a robust electromagnetic (EM) field within an enclosure in which the articles are stored. Respective data carriers, such as RFID tags, attached to each medical article respond to the EM field by transmitting unique data identified with each medical article. The use of probes for injecting the EM field into the enclosure results in a greater likelihood of activation of the tags and greater accuracy in detecting and tracking medical articles.

Abstract: A system for preparing in electronic form a discharge summary (EDS) having at least information regarding patient identity, new prescriptions, medications to be discontinued, and clinical follow-up. The EDS is to be delivered to the identified patient upon discharge from a treatment facility. The system and process uses first and second data processors operating according to programmed instructions that are linked to corresponding databases and a network of pharmacies to ensure all information in the EDS is delivered to the patient and the medications to be discontinued, including prescription and non-prescription medications, are properly documented in the pharmaceutical records of the patient.

Abstract: Instructions (108) cause a processor (104) to: classify a clinical report for a subject under evaluation by one of anatomical organ or disease; identify and retrieve clinical reports for the same subject from the healthcare data source(s); group the retrieved clinical report by one of anatomical organ or disease; select a group of the clinical report, wherein the group includes reports for a same or related one of the anatomical organ or the disease; build a model that predicts semantic relationships between nodes in the reports in the selected group of reports based on one or more of extracted parameters or keywords; compare one of the parameter values or the keywords across the reports using the model; construct a graphical timeline of the reports; highlight differences in the parameter values or the keywords based on a result of the compare; and visually present the graphical timeline with the highlighted differences.

Abstract: A method for managing a pharmaceutical supply chain creates channels of communication between a plurality of user accounts including, a plurality of consumer accounts, a plurality of pharmacy accounts, and a plurality of wholesaler accounts managed by at least one central server for the transference of pharmaceutical medications. Through an online portal, a pharmaceutical medication inquiry is received by the at least one central server through a personal computing device associated with a specific consumer account. The pharmaceutical medication inquiry is assessed by users of the plurality of pharmacy accounts to offer a pharmaceutical medication bid to the user of the specific consumer account. If the user of the specific consumer account affirms the pharmaceutical medication bid, a contact exchange function is executed to exchange contact data of the specific consumer account and the pharmacy account corresponding to the lowest pharmaceutical medication bid for the users to arrange the transaction.

Abstract: Computer implemented methods are disclosed. The methods may include receiving historical data comprising at least one of provider data and patient data, and processing, using a processor, the historical data to identify one or more patterns. The method also may include generating one or more decision models from the historical data and the decision patterns, and providing one or more recommendations based on the one or more decision models.

Abstract: A method for generating a treatment plan in response to medical test results is provided. The method comprises receiving at a server one or more test results as a result of operation of a medical testing device, wherein the one or more test results includes a determination of the efficacy and dosage level of a medication, generating at the server an updated digital patient record reflecting the one or more test results, and transmitting by the server to a medical entity a treatment plan based on the efficacy and dosage level determined for the medication, wherein the treatment plan is a dosage regimen for the medication.

Abstract: A method for generating a treatment plan in response to medical test results is provided. The method comprises requesting point-of-care (POC) services from a mobile POC unit, receiving at a server confirmation of delivery of POC services to a patient, receiving at the server one or more test results as a result of operation of a medical testing device used in the POC services, wherein the one or more test results includes a determination of the efficacy and dosage level of a medication, generating at the server an updated digital patient record reflecting the one or more test results, and transmitting by the server to a medical entity a treatment plan based on the efficacy and dosage level determined for the medication, wherein the treatment plan is a dosage regimen for the medication.

Abstract: An infusion pump automation system and method includes an infusion pump, an infusion pump and a remote processor. The remote processor is remote to the infusion pump and includes a controller interface and a controller, such that the controller bidirectionally communicates with the infusion pump, determines a current infusion state of the infusion pump and a current infusion pump user interface state and accepts a command to change the infusion state of the infusion pump from an external server. The controller determines if the command is consistent with the current infusion state of the infusion pump and the current infusion pump user interface state, executes the command if the command is able to be successfully executed, and confirms that the command is successfully executed.

Abstract: Systems and methods are provided for adjusting long acting insulin medicament dosages for a subject. A plurality of timestamped glucose measurements of the subject and insulin injection data is obtained. A first glycaemic risk measures is determined, where the first risk glycaemic risk measure is i) glucose level variability across the glucose measurements, (ii) a variability in fasting glucose levels calculated from the glucose measurements, (iii) a minimum observed glucose measurement in the plurality of glucose measurements (iv) rate of change in ISF, or (v) adherence values. A fasting blood glucose target function is computed based upon at least the first glycaemic risk measure thereby obtaining an updated target fasting blood glucose level that is between a minimum and maximum target fasting blood glucose level. The long acting insulin medicament dosage is adjusted based upon the updated target fasting blood glucose level.

Abstract: A computer-assisted system and method for optimizing recommendations in a system for assessing mobility or stability of a subject comprising the steps of: a) using a video camera to create movement data, b) score movement data, c) based on the score of step b) and using a statistical model, create a recommendation and confidence data for the recommendation, d) provide the recommendation and the confidence data to a user, and e) modify the statistical model based on further user input.

Abstract: Embodiments of the invention include a cloud-assisted rehabilitation system for assisting in the rehabilitation of musculoskeletal conditions, and a method for rehabilitating patients having musculoskeletal conditions. A rehabilitation portal can aggregate and de-identified musculoskeletal rehabilitation information that is gathered from various intelligent musculoskeletal rehabilitation apparatuses attached to a group of patients. The rehabilitation portal can facilitate crowd communication among the group of patients. A particular rehabilitation experience can be compared with other rehabilitation experiences and data from other patients. The rehabilitation portal can also facilitate crowd communication among a group of healthcare professionals so that the plurality of healthcare professionals can communicate with each other and compare information regarding different rehabilitation experiences based at least on the aggregated de-identified musculoskeletal rehabilitation information.

Abstract: A system for modifying behavior of a subject is provided. The system comprises: an input assembly configured to receive input data; a data analyzer configured to receive the input data from the input assembly, analyze the input data and produce a behavioral modification regimen based on the input data; and an output assembly configured to receive the behavioral modification regimen from the data analyzer and produce output data based on the behavioral modification regimen. The output data is configured to modify behavior of the subject. Methods of modifying behavior of a subject are also provided.

Abstract: The present invention relates to method for assisting a user in generating an itemised medical report from at least one medical image. The at least one medical image is displayed in a display area of single computer display unit. In the same display area, a sub-region containing a checklist specific to the one or more images is displayed. Items from the checklist can be de-selected. This checklist comprises a list of selectable items, each item representing an organ, structure, or abnormality that has to be checked by the user. Linked to each item in the checklist is a default statement that is a pre-prepared statement indicative of the normality of the item. The default statement is not displayed by default as part of the checklist. The user can select an item from the checklist for providing comments by dictation thereon responsive to an observation in the radiological image.

Abstract: Disclosed is a non-invasive method for assessing the presence and/or severity of varices selected from gastric and esophageal varices in a liver disease patient, wherein the method includes: (a) carrying out one or more non-invasive test(s) for assessing the severity of a hepatic lesion or disorder, wherein the non-invasive test(s) each result in a value; and (b) comparing the value(s) obtained at step (a) with cut-offs of the non-invasive test(s) for assessing the presence and/or severity of varices selected from gastric and esophageal varices.

Abstract: The present disclosure relates to a dental image processing protocol for the design of dental aligners. Specifically, the dental image processing protocol aids in the determination of tooth movements during realignment, based on an initial position and a final position, and on characteristics of the periodontal environment. Therefore, planned tooth movements reflect both crown movement and root movement within biological structures of the alveolar process.

Abstract: Techniques are described for analyzing patient image data relative to stored medical image data. A Registry & Image Data Analytics (RIDA) system is described that is configured to analyze medical image data, generate corresponding metadata, and selectively store the medical image data, and metadata, within a registry & image data repository. The RIDA system may be configured to extract pertinent medical data from medical image data that is related to patient care, medical examinations and/or medical research. In doing so, the RIDA system may infer a medical diagnosis based on an analysis of patient image data. Additionally, the RIDA system may infer the validity of a medical hypothesis based at least in part on an analysis of patient image data. The RIDA system may also generate and store a synthesized expression of a text-based or audio-based user input into patient image data and/or corresponding registry data record.

Abstract: A system associated with determining physician attribution related to in-patient care based at least on prediction of attribution values associated with patient-physician attribution is disclosed. The system extracts clinical data associated with a patient from a first database, with the extracted clinical data comprising clinical information related to the patient and the clinical information including vector values indicative of clinical progress of the patient at various stages of treatment. The system stores the extracted clinical data in a second database and determines attribution values using the attribution manager with the attribution values being based on a predictive analysis using predetermined weights associated with the vector values. A training data set is generated based on learned weight values associated with the clinical progress of the patient. The system iteratively updates the vector values of the patient at least using a predictive analysis associated with the training data set.

Abstract: Systems, methods, and apparatus to dynamically manage interdependent, variable scheduled procedures are provided. An example method includes calculating a cumulative distribution function (CDF) for task(s) in a healthcare protocol based on a probability density function associated with task duration(s) for the task(s). The method includes determining a plurality of schedule risk states for each task in a healthcare protocol, each schedule risk state associated with an upper specification limit (USL) and a lower specification limit (LSL) along the CDF. The method includes identifying, within USL and LSL for each schedule risk state, setpoint(s) associated with probability(-ies) along the CDF. The method includes monitoring execution of task(s) in the healthcare protocol to identify a transition in schedule risk state according to USL and LSL. The method includes triggering an action to react to an actual or upcoming change in schedule risk state based on setpoint(s) associated with the schedule risk state.

Abstract: An external control device for use with a neurostimulator coupled to a plurality of electrodes capable of conveying electrical stimulation energy into tissue in which the electrodes are implanted. The external control device comprises a user interface including at least one control element, a processor configured for independently assigning stimulation amplitude values to a first set of the electrodes, for linking the first set of electrodes together in response to the actuation of the at least one control element, and for preventing the stimulation amplitude values of the first linked set of electrodes from being varied relative to each other, and output circuitry configured for transmitting the stimulation amplitude values to the neurostimulator.

Abstract: In a method for controlling a sensing device, the method includes: transmitting, by a processor, a signal to a wearable device to initiate vital signal sensing during a first time period; receiving, by the processor from the wearable device, vital signal data from the wearable device; adjusting, by the processor, a schedule for initiating the vital signal sensing based on the vital signal data; and transmitting, by the processor, a signal to the wearable device to initiate the vital signal sensing during a second time period according to the schedule for initiating the vital signal sensing.

Abstract: Using computer-assisted classification and/or computer-assisted segmentation with or without monitoring the field of view for change, the workflow for ultrasound imaging may be made more efficient. The classification and/or segmentation is used to perform a next act in the sequence of acts making up the ultrasound examination. Rather than requiring a user to determine the act and implement the act, the ultrasound scanner determines and implements the act based on the identification and/or location of an imaged object. For example, the identification of the object as a kidney using a machine-learnt classifier triggers a color flow scan, and the location of the object determines a placement for the color flow region of interest (ROI), avoiding the user having to perform the ROI initiation and/or placement and increasing workflow efficiency.

Abstract: Systems, methods, and media for laboratory benefit services are disclosed. Embodiments of the present invention provide systems, methods, and media that enhance the quality of health care related services to a patient, thereby enhancing patient care. In an embodiment, the present invention provides systems, methods and media that present a health care provider with information to support a decision, for example, a decision relating to a test, or tests, for a patient. In addition, or in additional embodiment, the present invention provides systems, methods and media that present information relating to a patient's health plan to advantageously facilitate a health care provider's knowledge and use of a patient's health plan information.

Abstract: An artificial intelligence response system comprises a centralized system having associated therewith a trained database, a tends engine, and a plurality of patient records, a plurality of interconnected entities connected over a network to the centralized system, and a voice-activated assistant device connected over the network to the centralized system and to the interconnected entities, the voice-activated assistant device including a memory operatively coupled to a processor, wherein the processor is configured to receive medical information pertaining to a patient's health from the centralized system, request a treatment regimen for the patient from the centralized system, receive a voice command from a medical professional to retrieve additional medical information, request additional medical information in response to the voice command, and request one or more actions related to treating a patient.

Abstract: A method of signaling a medical response action comprises receiving a biofluidic input from a client or application, by a logical testing unit, wherein the logical testing unit comprising a testing display and a persistent testing mechanism, further wherein the persistent testing mechanism comprising one or more analogical data processors, generating one or more logical results from the processing of biofluidic data from the biofluidic input, displaying, on the testing display of the logical testing unit, the one or more logical results, capturing the logical indicators on the testing display with a mobile computing unit, generating, by the mobile computing unit, a pixelated result and an action result, displaying, on the mobile display, the pixelated result and action result, responsive to a signaling input from the client or application, the mobile computing unit processes, by one or more processors, the signaling input and generating an action response packet.

Abstract: A medical information processing device includes: a hardware processor that: acquires data regarding a human body; accumulates acquired data acquired by the hardware processor; analyzes accumulated data accumulated by the hardware processor, autonomously finds a correspondence pattern between the accumulated data and at least timing at which prescription is performed and a content out of the accumulated data and generates an identifier used for inference; infers a prescription content including at least the timing at which the prescription should be performed using the identifier generated by the hardware processor and the acquired data; and outputs the prescription content inferred by the hardware processor.

Abstract: Systems and methods are provided for eye health and vision examinations. A customer diagnostic center is configured to generate customer examination data pertaining to an examination of a customer's eye. The customer diagnostic center provides a user interface for communicating with a customer and ophthalmic equipment for administering tests to the customer. A diagnostic center server is configured to receive the customer examination data from the customer diagnostic center over a network and allow the customer examination data to be accessed by an eye-care practitioner. A practitioner device associated with the eye-care practitioner is configured to receive the customer examination data from the diagnostic center server and display at least a portion of the customer examination data to the eye-care practitioner. Customer evaluation data is generated pertaining to the eye-care practitioner's evaluation of the customer examination data. An eye health report is provided to the customer via the network.

Abstract: Systems and methods are provided for eye health and vision examinations. A customer diagnostic center is configured to generate customer examination data pertaining to an examination of a customer's eye. The customer diagnostic center provides a user interface for communicating with a customer and ophthalmic equipment for administering tests to the customer. A diagnostic center server is configured to receive the customer examination data from the customer diagnostic center over a network and allow the customer examination data to be accessed by an eye-care practitioner. A practitioner device associated with the eye-care practitioner is configured to receive the customer examination data from the diagnostic center server and display at least a portion of the customer examination data to the eye-care practitioner. Customer evaluation data is generated pertaining to the eye-care practitioner's evaluation of the customer examination data. An eye health report is provided to the customer via the network.

Abstract: The present teaching relates to medical suggestion searching. In one example, data related to a medication drug are obtained. One or more candidate prescription strings are identified from the obtained data. Each of the candidate prescription strings is associated with a plurality of attributes. Each of the one or more candidate prescription strings is automatically processed based on at least one model to generate one or more prescription strings each with an associated ranking. At least some of the generated one or more prescription strings and the associated rankings are stored for future use.

Abstract: The system includes a processor configured for receiving biomedical documents including an identifier of the target and/or of the disease; specifying an offset time the offset time indicating a time interval ahead of the performing of the prediction; specifying a time window ending at the begin of the offset time; extracting a plurality of features selectively from the ones of the received documents published during the time window; providing a classifier having been trained on training features extracted from biomedical training documents published within a training time window ending at the begin of the offset time ahead of a moment the outcome of one or more training studies on training target-disease-pairs was disclosed; executing the classifier, thereby providing the extracted features as input; and outputting a classification result indicating whether the drug directed at the target can be used to treat the disease.

Abstract: Embodiments include methods by which mathematical models are applied to data from at least two interrelated physiological parameters employed in parallel with data gathered from various sources to provide an end user (e.g., individual or group of individuals) or consented third party (e.g., insurer of the user) with an estimate of how the physiological parameters will change in the future and a number of years indicative of the terminal age and/or health and life expectancy of the user. Furthermore, utilizing the translation from a lifestyle intervention (e.g., cessation of smoking or commencement of an exercise program) to the physiological parameters from historical data (e.g., wearable data) may permit display of a lifestyle intervention pattern and a current and planned physiological trajectory. The output may be quantified translation from lifestyle intervention to real time health and life expectancy and may be calculated from past and present data and hypothetical planned interventions.

Abstract: Methods, systems, and computer readable media for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder are disclosed. One method for utilizing brain structural characteristics for predicting a diagnosis of a neurobehavioral disorder includes receiving brain imaging data for a human subject of at least one first age. The method also includes determining, from the brain imaging data, measurements of brain structural characteristics of the human subject and inputting the brain structural characteristics into a model that predicts, using the measurements of the brain structural characteristics, a diagnosis of a neurobehavioral disorder at a second age greater than the at least one first age.

Abstract: A patient-specific cutting assembly comprises a model file including geometrical data of a bone of the patient, of an intramedullary canal of the bone, and a planned orientation of a cutting block. A fixing rod is adapted to be longitudinally inserted in and extending partially from the intramedullary canal. A patient-specific cutting block is connectable to the fixing rod. The patient-specific cutting block includes a structure having a patient specific geometry corresponding to the model file of the patient, the structure configured to be connected to a portion of the fixing rod projecting from the bone in a unique coupling orientation. A cutting guide is connected to the structure, the cutting guide being in the planned orientation when the structure is connected to the portion of the fixing rod projecting from the bone.

Abstract: The present disclosure provides systems and methods that leverage machine-learned models in conjunction with online data to monitor and detect the spread of a disease, such as, for example, a communicable illness. In one example, a computing system can include or otherwise leverage a machine-learned disease detection model. The computing system can input search engine data and, optionally, location data respectively associated with a first plurality of users into the machine-learned disease detection model. The computing system can receive identification of a second plurality of users predicted to have the disease as an output of the machine-learned disease detection model. The second plurality of users can be a subset of the first plurality of users. The computing system can identify one or more locations associated with elevated levels of the disease based at least in part on the location data respectively associated with at least the second plurality of users.

Abstract: A computer-implemented therapy management system is operated to collect patient data associated with medical device users. Treatment of the users is managed by healthcare professionals (HCPs), which include a customer HCP and a plurality of non-customer HCPs. The system receives a first set of attributes for a first individual patient or a first group of patients under care of the customer HCP, and a second set of attributes for a second individual patient or a second group of patients. The system identifies a first set of patient records associated with the customer HCP that satisfy the received first attributes, and a second set of patient records that satisfy the received second attributes, and compares patient outcomes from the first set of records against patient outcomes from the second set of records. A comparative therapy report is generated and communicated to a client device associated with the customer HCP.

Abstract: The system disclosed here includes a computer-implemented patient therapy management and coaching system, a database system to collect and maintain patient data associated with a plurality of medical device users that includes a trainee patient assigned to a coach, and a user device communicatively coupled to the patient therapy management and coaching system and associated with the coach. The management and coaching system is operative to: receive a patient request for coaching; process the request to automatically identify goals to be achieved by the trainee patient; communicate the goals to the coach's user device; receive an accepted goal selected from the identified goals; create a patient coaching program for the accepted goal; generate insight messages based on patient data collected for the trainee patient, the generated insight messages related to the patient coaching program; and deliver the generated insight messages to the user device associated with the coach.