Provided are a program and the like in which a cleaning efficiency can be improved.

A program allows a computer to execute processing of: acquiring an image including a still image or a moving image that is obtained by imaging an inside of a medical facility with an imaging device provided in the medical facility, or operation content information relevant to operation content in the medical facility; specifying a part to be cleaned in the medical facility and a cleaning method, on the basis of the acquired image or the acquired operation content information; and outputting a cleaning command according to the specified part to be cleaned in the medical facility and the specified cleaning method.

A decision support tool is provided for predicting uterine contractions. The predicted contractions are determined from measurements of uterine activity (UA). The contraction forecast may be made using a plurality of trained predictive models. The forecasts are formed with linear regressive models based, at least in part, on UA data from a reference population. The predicted contractions may be predictions of contraction duration, contraction peak, and time between contractions. In this way, these predicted contractions may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the care plan.

A decision support tool is provided for predicting uterine contractions. The predicted contractions are determined from measurements of uterine activity (UA). The contraction forecast may be made using a plurality of trained predictive models. The forecasts are formed with linear regressive models based, at least in part, on UA data from a reference population. The predicted contractions may be predictions of contraction duration, contraction peak, and time between contractions. In this way, these predicted contractions may be used for decision support for care plans during labor, such as increased monitoring and/or modifying the care plan.

Identifying relationships between healthcare practitioners and healthcare facilities based on billed claims. A method includes assessing facility claims billed by a facility over a time period to identify a practitioner that performed a procedure at the facility within the time period and assessing carrier claims billed by the practitioner over the time period to identify all facilities in which the practitioner performed a procedure within the time period. The method includes calculating a total quantity of the facility claims billed over the time period that indicate a procedure was performed at the facility and a total quantity of the carrier claims billed by the practitioner over the time period that indicate the practitioner performed a procedure.

Identifying relationships between healthcare practitioners and healthcare facilities based on billed claims. A method includes assessing facility claims billed by a facility over a time period to identify a practitioner that performed a procedure at the facility within the time period and assessing carrier claims billed by the practitioner over the time period to identify all facilities in which the practitioner performed a procedure within the time period. The method includes calculating a total quantity of the facility claims billed over the time period that indicate a procedure was performed at the facility and a total quantity of the carrier claims billed by the practitioner over the time period that indicate the practitioner performed a procedure.

Identifying and quantifying a professional relationship between a practitioner and a clinic. A method includes identifying a clinic associated with a practitioner by assessing claims processed by the practitioner, identifying the clinic that are processed by the practitioner, and calculating a total quantity of claims processed by the practitioner. The method includes quantifying a relationship between the practitioner and the clinic based on the quantity of clinic claims and the total quantity of claims.

Identifying and quantifying a professional relationship between a practitioner and a clinic. A method includes identifying a clinic associated with a practitioner by assessing claims processed by the practitioner, identifying the clinic that are processed by the practitioner, and calculating a total quantity of claims processed by the practitioner. The method includes quantifying a relationship between the practitioner and the clinic based on the quantity of clinic claims and the total quantity of claims.

A communication system for operation of respiratory pressure therapy devices for treating respiratory disorders of a plurality of patients includes one or more servers configured to communicate with the plurality of respiratory pressure therapy devices. The server(s) are configured to receive communications relating to respiratory therapy delivered to a patient via at least one respiratory pressure therapy device of the plurality of respiratory pressure therapy devices. The server(s) are configured to transmit one or more responsive communications for control of the at least one respiratory pressure device according to a selected action to improve the respiratory therapy. The selected action includes transmitting, from the server(s), a control command to the at least one respiratory pressure therapy device. The responsive communication(s) are generated in response to a compliance prediction that is a score indicating a probability that the patient will be compliant with a predetermined compliance rule.

A communication system for operation of respiratory pressure therapy devices for treating respiratory disorders of a plurality of patients includes one or more servers configured to communicate with the plurality of respiratory pressure therapy devices. The server(s) are configured to receive communications relating to respiratory therapy delivered to a patient via at least one respiratory pressure therapy device of the plurality of respiratory pressure therapy devices. The server(s) are configured to transmit one or more responsive communications for control of the at least one respiratory pressure device according to a selected action to improve the respiratory therapy. The selected action includes transmitting, from the server(s), a control command to the at least one respiratory pressure therapy device. The responsive communication(s) are generated in response to a compliance prediction that is a score indicating a probability that the patient will be compliant with a predetermined compliance rule.

The present invention provides methods for dispensing or distributing a drug, particularly a potentially teratogenic drug, to a patient while minimizing the occurrence of an adverse side effect. In particular, the present invention provides methods for dispensing or distributing a drug containing topiramate to a patient in need of weight loss to minimize the occurrence of potential birth defects associated with the drug. Methods for providing training to prescribers on the potential risks associated with particular drugs are also disclosed.