A laboratory system for analyzing biological samples is presented. The laboratory system comprises a plurality of laboratory instruments configured to receive and identify biological samples and to query a laboratory control unit for a processing order indicative of processing steps to be carried out on the biological sample. The laboratory control unit is configured to validate sequence of queries from the plurality of laboratory instruments against a valid query sequence pattern.

A medical information navigation engine (“MINE”) is capable of inferring referral activity not reported into a referral workflow system by utilizing intent-based clustering of medical information. The intent based clustering reconciles received medical data, from a variety of sources, and then clusters the data by applying one or more clustering rules. After the referrals not otherwise reported are inferred, they may be utilized to generate metrics that can be utilized to enhance patient care, and reduce costs. Metrics may be generated for both in-network and out-of-network referrals in order to distinguish differences in reporting activity.

A medical information navigation engine (“MINE”) is capable of inferring referral activity not reported into a referral workflow system by utilizing intent-based clustering of medical information. The intent based clustering reconciles received medical data, from a variety of sources, and then clusters the data by applying one or more clustering rules. After the referrals not otherwise reported are inferred, they may be utilized to generate metrics that can be utilized to enhance patient care, and reduce costs. Metrics may be generated for both in-network and out-of-network referrals in order to distinguish differences in reporting activity.

Embodiments of architecture, systems, and methods to develop a learning/evolving system to robotically perform and model one or more activities of a medical procedure where the medical procedure may include diagnosing a patient's medical condition(s), treating medical condition(s), and robotically diagnosing a patient's medical condition(s) and performing one or more medical procedure activities based on the diagnosis without User intervention where the activities may be performed in computer-based environment formed by the learning/evolving system, live, or a combination thereof.

Embodiments of a risk assessment and intervention platform architecture are disclosed, where the risk assessment and intervention platform can predict and reduce negative medical outcomes. Embodiments of the risk assessment and intervention platform may include components with controls or interface elements to receive instructions from clinicians to set parameters for interventions and then to enroll, track, and monitor patient activity through the medical treatment plans. Embodiments of a scoring engine are configured based on a specific medical treatment plan and intervention protocols to initiate intervention as needed.

Embodiments of a risk assessment and intervention platform architecture are disclosed, where the risk assessment and intervention platform can predict and reduce negative medical outcomes. Embodiments of the risk assessment and intervention platform may include components with controls or interface elements to receive instructions from clinicians to set parameters for interventions and then to enroll, track, and monitor patient activity through the medical treatment plans. Embodiments of a scoring engine are configured based on a specific medical treatment plan and intervention protocols to initiate intervention as needed.

An eye test administered to a remote subject over a computer network, where sensors provide feedback through the computer network so that light source position, light source brightness and/or a display configuration and/or parameter setting related to a visual display that is used to implement the remote eye test.

An eye test administered to a remote subject over a computer network, where sensors provide feedback through the computer network so that light source position, light source brightness and/or a display configuration and/or parameter setting related to a visual display that is used to implement the remote eye test.

A network device (100) detects a network problem in a medical system (105). A reception module (110) receives current medical system process data. A monitoring module (120) detects predefined events (124) based on the process data and triggers a detection signal (132) output in the presence of a predefined event. A sending module (130) sends the detection signal to a predefined device address (134) via a network (140). The predefined events include: a predefined plurality of unsuccessful password entry attempts within a predefined first time period; an unsuccessful encryption within an encryption protocol framework; a predefined plurality of outputs via the network triggered via the network within a predefined second time period; an output of a signal, which is to be carried out, has been unsuccessful; and a predefined number of messages have been received within the framework of a service discovery within a predefined third time period.

A Digital Family Care Tracking and Coordination (DFCTC) computing system associates a member with one or more care managers. The system stores member data on a cloud-based storage device. The one or more care managers are given access to the personal care data associated with the member via a mobile application. Member data includes medical information and relevant notes pertaining to a member's healthcare journey.