Abstract: Systems and methods of sharing medical images through a secure, HIPAA-compliant social network construct (CarePod) between two or more members of the CarePod are disclosed. A first user may communicate remotely with a CarePod that is created and associate with a patient having medical treatment in order to initiate the sharing of medical image(s) of a patient If the first user is not a member of the CarePod, the system may add the first user as a member of the CarePod through a verification/authentication process. Once authenticated, privileges of the first user may be set with respect to certain actions that the first user may perform with medical images. Medical image(s) may be shared asynchronously or streamed substantially in real-time—e.g., possibly to aid medical procedures that are occurring.

Abstract: Databases comprising autonomous or semi-autonomous platforms for the diagnosis and treatment of patient conditions are disclosed. A CarePod is configured to be a system for affecting an authenticatable, HIPAA-compliant communications and monitoring platform to facilitate patient's on-going diagnosis and treatment of a given condition. In the area of psychotherapy, CarePod/IA may affect methods for allowing new members into the treatment group by directing a set of diagnostic tools and tests, ingesting response data, re-evaluating such response data to fine tune diagnosis as to patient's condition. Facilitated communications by and between members may be monitored by and between members by a CarePod/IA and, depending upon threshold conditions, may either update a patient's care dashboard/record or take a plurality of actions (e.g., emergency responses) as the situation dictates.

Abstract: Systems and methods of uploading image files of sensitive documents are disclosed to at least one trusted community of users. The trusted community may be an automated care pod used by medical providers to treat a patient. The image files may comprise the individual's patient records. A request for uploading may be made to the care pod and the care pod may generate a unique identifying symbol which is sent back to the sender. The care pod or managing system may receive the image file with the unique identifying symbol embedded or associated with the image file. In another embodiment, an automated extractor/verifier may process the uploaded image data and extract user information. Said extracted user information may then be compared against patient information associated with the care pod. If extracted information and patient information do not match, an error flag may be sent.

Abstract: Systems and methods of uploading patient medical and/or physiological data to the patient's associated CarePod are disclosed. Devices that are capable of sensing patient medical and/or physiological data are disclosed that are in authenticated and secure communication with the patient's CarePod. Doctors and other caregivers may be able to analyze the patient medical and/or physiological data in near real-time basis. Other devices, systems and methods are disclosed to provide authenticated and secure therapeutic treatment in possibly a closed loop system. Other devices, systems and methods are disclosed to guard against the inadvertent misdirection of patient medical and/or physiological data between medical devices and the patient's CarePod.

Abstract: Systems and methods of creating, managing and accessing treatment plans for patients having a condition are disclosed herein. Patients have CarePods created for the treatment of their condition and their doctors and other caregiver relevant to their treatment. In one embodiment, treatment plans may be constructed by a plurality of modules that may input data and metadata regarding the condition, the treatment, potential medications, potential medical monitoring equipment. Such treatment plans may be employed as a template for other CarePods and other patients. In other embodiments, data from the treatment may be collected to inform caregivers the response of the patient to treatment. In addition, data from the treatment of a condition may be aggregated from a plurality of patients being treated for a condition. This aggregated data may be used to deduce the efficacy of a particular treatment to a condition.