Quantitative estimate accuracy scoring is provided. An estimate scoring engine uses estimate scoring model logic to quantitatively measure the accuracy of an estimate for healthcare services relative to actual values associated with an adjudication of a claim for the services. Scores are determined for various factors that impact estimate accuracy, and a total estimate accuracy score may be determined. A report may be generated and displayed in a user interface including information received and/or determined by the estimate scoring engine. A plurality of estimates may be evaluated, and the report may include a summary and details associated with the accuracy of a range of estimates. An accuracy rate associated with the range of estimates may be measured against the accuracy rate of other healthcare services providers, payers, and/or estimation models in an ‘apples-to-apples’ comparison. Accordingly, issues associated with estimate inaccuracies may be identified and addressed to improve estimate accuracy.

Quantitative estimate accuracy scoring is provided. An estimate scoring engine uses estimate scoring model logic to quantitatively measure the accuracy of an estimate for healthcare services relative to actual values associated with an adjudication of a claim for the services. Scores are determined for various factors that impact estimate accuracy, and a total estimate accuracy score may be determined. A report may be generated and displayed in a user interface including information received and/or determined by the estimate scoring engine. A plurality of estimates may be evaluated, and the report may include a summary and details associated with the accuracy of a range of estimates. An accuracy rate associated with the range of estimates may be measured against the accuracy rate of other healthcare services providers, payers, and/or estimation models in an ‘apples-to-apples’ comparison. Accordingly, issues associated with estimate inaccuracies may be identified and addressed to improve estimate accuracy.

An aspect of some embodiments of the invention relates to a method of scheduling maintenance for a pharmaceutical dispensing device, comprising: receiving a request to perform said maintenance; automatically generating at least one proposed maintenance time window matching production goals of said pharmaceutical dispensing device and mechanical capability of said pharmaceutical dispensing device and said maintenance and said request; and responding to said request with said at least one proposed maintenance time window.

Systems and methods are disclosed herein for switching an application executing on an ambulatory medical device to a new application without interrupting therapy provided by the ambulatory medical device to a subject. The ambulatory medical device may receive an indication that an update to an application executing on the ambulatory insulin pump is available, establish a communication connection to a host computing system, download and install the application update, while a prior version of the application continues to run. The disclosed systems and methods can confirm successful installation of the application update on the ambulatory medical device and switch control of the ambulatory medical device from the prior version to the new version of the application without interrupting therapy provided to the subject.

Systems and methods are disclosed herein for switching control of an ambulatory medical device from an application executing on the ambulatory medical device to a safe version or a new version of the application without interrupting therapy provided by the ambulatory medical device to a subject. The ambulatory medical device can maintain copies of a safe version and a new version of the application. The disclosed systems and methods can execute the new version, while the prior version of the application continues to execute, determine whether a minimum set of operating conditions are satisfied by the new version, and switch control of the ambulatory medical device from the prior version to the new version. The systems and methods can also automatically revert to the safe version of the application case the current version is malfunctioning without interrupting therapy provided to the subject.

Systems and methods presented herein relate to cancelling a modification of medicament delivery initiated by a user. A display of a therapy control element can be generated on an interface, such as a touchscreen. The therapy control element permits a user to modify a control parameter used in a control algorithm for generating a dose control signal for delivering medicament to a subject. Responsive to receiving the modification, the control parameter may be modified at a first time from a first setting to a second setting based on an indication of the modification to the therapy control element. Responsive to receiving a restore gesture on the touchscreen at a second time, the control parameter may be restored back to the first setting. This restore gesture may be a swipe gesture performed by a user.

Systems and methods presented herein relate to a method of sharing therapy data of an ambulatory medical device with a computing system of a networked computing environment. The computing system may be identified using an authorized system list that includes an address of approved computing systems. Using an address of an approved computing system, a direct end-to-end data connection may be established via a wireless wide area network. A public key of the computing system may be received permitting the ambulatory medical device to encrypt data to be transmitted to the computing system. The ambulatory medical device can transmit the encrypted therapy data to the computing system over the direct end-to-end data connection.

Disclosed herein is a method and system for real-time health data management and prediction of health trends for patients. The system receives patient data from patients, doctors treating patients and one or more external sources. Upon receiving the patient data, system generates three tables for storing, general information, health information and preference information of patients. Thereafter, the system generates a distributed ledger in real-time for each patient based on details of each patient from three tables. The distributed ledger comprises consolidated health data from all the three tables. The system provides a selectively authorized access to the distributed ledger based on biometric information of the patient. Further, based on the consolidated health data, the system manages health data of each of the one or more patients and predicts health trends of each of the one or more patients using Artificial Intelligence (AI) Machine Learning (ML) techniques.

Disclosed herein is a method and system for real-time health data management and prediction of health trends for patients. The system receives patient data from patients, doctors treating patients and one or more external sources. Upon receiving the patient data, system generates three tables for storing, general information, health information and preference information of patients. Thereafter, the system generates a distributed ledger in real-time for each patient based on details of each patient from three tables. The distributed ledger comprises consolidated health data from all the three tables. The system provides a selectively authorized access to the distributed ledger based on biometric information of the patient. Further, based on the consolidated health data, the system manages health data of each of the one or more patients and predicts health trends of each of the one or more patients using Artificial Intelligence (AI) Machine Learning (ML) techniques.

A method for facilitating surgery using an augmented reality system, comprises retrieving patient data relating to a surgical procedure on a patient, generating virtual content comprising a virtual three-dimensional (3D) anatomical model based on the patient data, and displaying the virtual content, such that, when viewed by the first user, the virtual 3D anatomical model appears to be fixed at a physical location, whereby the virtual 3D anatomical model may be viewed by the first user from any angle or orientation merely by walking around the physical location.