Abstract: A method may include collecting sensor data related to a physical or mental health of a patient. The method may include determining a series of physical evidence nodes. The method may include determining a series of physical states of the patient. Each physical state is associated with a single physical evidence node. The method may include determining an expected value for each physical evidence node based on a physical baseline of the patient. The method may include determining, after each day, a value for each corresponding physical evidence node, wherein the value for each physical evidence node includes a value from each associated physical state. The method may include determining, after each day, a deviation of the patient from the expected value. The method may include generating a physical predictive model of the physical health of the patient based on the deviation of the patient from the expected value.

Abstract: A method may include collecting sensor data related to a physical or mental health of a patient. The method may include determining a series of mental evidence nodes. The method may include determining a series of mental states of the patient. Each mental state is associated with a single mental evidence node. The method may include determining an expected value for each mental evidence node based on a mental baseline of the patient. The method may include determining, after each day, a value for each corresponding mental evidence node, wherein the value for each mental evidence node includes a value from each associated mental state. The method may include determining, after each day, a deviation of the patient from the expected value. The method may include generating a mental predictive model of the mental health of the patient based on the deviation of the patient from the expected value.

Abstract: A method may include collecting sensor data related to a set of lifestyle activities related to one or more chronic diseases of a patient. The method may include collecting patient data that indicates at least one of a biological, psychological, or social profile of the patient, and one or more lifestyle choice prescriptions of the patient. The method may include receiving patient input that indicates compliance of the patient with the lifestyle choice prescriptions. The method may include determining a lifestyle choice compliance (LCC) score of the patient based on at least one of the sensor data related to the set of lifestyle activities and the patient input that indicates compliance of the patient with the lifestyle choice prescriptions. The method may include generating an LCC result, wherein the LCC result includes the LCC score of the patient. The method may include providing the LCC result to a care-provider.

Abstract: A method may include collecting sensor data related to a quality of health of a patient. The method may include receiving patient input in response to a minimum number of questions for high statistical measurement of three health dimensions of the patient. The method may include generating a health score for each of three health dimensions of the patient. The method may include categorizing the health score for each of the three health dimensions. The method may include determining a minimum category of questions for high statistical measurement of each category of the three health dimensions. The method may include quantifying each of the three health dimensions of the patient per a VAS health score. The method may include generating a health risk score that is based on the health score for each of the three health dimensions. The method may include providing a health risk result to a care-provider.

Abstract: A method may include collecting sensor data and patient data. The method may include receiving input from a patient that provides a quantification of a present health risk assessment of the patient using minimum clicks in minimum categories using a VAS. The method may include receiving patient input including both manual input and sensor output in response to one or more questions directed to a quality of health of the patient. The method may include generating a CCB score with a pre-defined risk stratification. The CCB score may be based on at least two of the patient data, the sensor data, and the patient input. The method may include generating a CCB result. The CCB result may include the CCB score and a risk stratification of the patient based on the pre-defined risk stratification and the CCB score. The method may include providing a CCB result to a care-provider.

Abstract: A method may include collecting sensor data related to health of a patient and receiving input that provides quantification of health of the patient. The method may include generating a first marker based on the sensor data and/or the quantification of the health of the patient including a first dimension indicative of additional examination to be performed. The method may include generating a second marker based on one or more risk algorithms including a second dimension indicative of an acute assessment of issues related to the health of the patient. The method may include comparing the first and/or second markers to a first or second marker baseline. The method may include generating a health result based on the comparison of the first and/or second marker to the first or second marker baseline and providing an alert to a care-provider that includes the health result.

Abstract: A method may include collecting data indicating a number of patients diagnosed with one or more chronic diseases in a geographic location based on epidemiological attributes of the patients. The method may include collecting data that indicates a number of patients that are diagnosed with the chronic diseases in a practice of a physician. The method may include comparing the number of the patients diagnosed with the chronic diseases in the practice of the physician to the number of patients diagnosed with the chronic diseases in the geographic location. The method may include generating a comparison result that may indicate whether the number of patients diagnosed with the chronic diseases in the practice of the physician is greater than or less than the number of patients diagnosed with the chronic diseases in the geographic location. The method may include providing an alert to a care-provider that includes the comparison result.

Abstract: A method may include collecting sensor data related to a quality of health of a patient. The method may include receiving patient input in response to a minimum number of questions for high statistical measurement of three health dimensions of the patient. The method may include generating a health score for each of three health dimensions of the patient. The method may include categorizing the health score for each of the three health dimensions. The method may include determining a minimum category of questions for high statistical measurement of each category of the three health dimensions. The method may include quantifying each of the three health dimensions of the patient per a VAS health score. The method may include generating a health risk score that is based on the health score for each of the three health dimensions. The method may include providing a health risk result to a care-provider.

Abstract: A method may include collecting sensor data and patient data. The method may include receiving input from a patient that provides a quantification of a present health risk assessment of the patient using minimum clicks in minimum categories using a VAS. The method may include receiving patient input including both manual input and sensor output in response to one or more questions directed to a quality of health of the patient. The method may include generating a CCB score with a pre-defined risk stratification. The CCB score may be based on at least two of the patient data, the sensor data, and the patient input. The method may include generating a CCB result. The CCB result may include the CCB score and a risk stratification of the patient based on the pre-defined risk stratification and the CCB score. The method may include providing a CCB result to a care-provider.

Abstract: A method may include collecting sensor data related to health of a patient and receiving input that provides quantification of health of the patient. The method may include generating a first marker based on the sensor data and/or the quantification of the health of the patient including a first dimension indicative of additional examination to be performed. The method may include generating a second marker based on one or more risk algorithms including a second dimension indicative of an acute assessment of issues related to the health of the patient. The method may include comparing the first and/or second markers to a first or second marker baseline. The method may include generating a health result based on the comparison of the first and/or second marker to the first or second marker baseline and providing an alert to a care-provider that includes the health result.

Abstract: A medical personal communication system provides efficient and secure communication between medical personal and other medical personal, and between medical personal and patients. In one method of operation a secure message system accepting a message having message text and associates a recipient identifier with the message to identify the message recipient and message. The system determines if the message recipient is a registered user and if so then the message text is sent to the registered user within the system. If the message recipient is not a registered user, then the system generates a code and a message notification, which is sent to the message recipient using the recipient identifier. Using the code, the message recipient can view access the secure message system, such as on the Internet or network, securely view the message.

Abstract: A medical communication system provides efficient messaging and communications services with physicians. The medical communication system permits physicians to define contact preferences so that they may receive messages in an efficient way based on various criteria, such as urgency, type, and time of a message. The medical communication system provides status for each of its physicians so that requestors that wish to contact the physicians can immediately know if a physician is available and the best way to reach the physician at a particular time and for a particular circumstance. The medical communication system protects the privacy of physician's personal contact information and provides tracking of communications for the purpose of patient records. In addition, the medical communication system may be configured to meet various regulatory requirements, including HIPAA regulations.

Abstract: A medical communication system provides efficient messaging and communications services with physicians. The medical communication system permits physicians to define contact preferences so that they may receive messages in an efficient way based on various criteria, such as urgency, type, and time of a message. The medical communication system provides status for each of its physicians so that requestors that wish to contact the physicians can immediately know if a physician is available and the best way to reach the physician at a particular time and for a particular circumstance. The medical communication system protects to the privacy of physician's personal contact information and provides tracking of communications for the purpose of patient records. In addition, the medical communication system may be configured to meet various regulatory requirements, including HIPAA regulations.

Abstract: A medical personal location tracking system provides efficient physician location reporting based on physician client device location. The medical communication system permits physicians to define location tracking control settings to control when and where the client device sends location data to a server and database. Subject to the location tracking control settings, the location tracking system provides location updates for the physicians so that requestors that wish to contact the physicians or know the location of one or more physicians can access the server to obtain location data. To obtain medical assistance to a medical emergency, an emergency alert may be generated and sent to physicians within a defined geographic area. Upon receipt by a physician, a physician may accept the emergency alert and travel to the medical emergency and be provided updates regarding the medical emergency. The person generating the emergency alert may track the location of accepting physicians.