Agent based risk patient management

This paper explores the role of information and communication technologies in managing risk and early discharge patients, and suggests innovative actions in the area of E-Health services. Treatments of chronic illnesses, or treatments of special needs such as cardiovascular diseases, are conducted in long-stay hospitals, and in some cases, in the homes of patients with a follow-up from primary care centre. The evolution of this model is following a clear trend: trying to reduce the time and the number of visits by patients to health centres and derive tasks, so far as possible, toward outpatient care. Also the number of Early Discharge Patients (EDP) is growing, thus permiting a saving in the resources of the care center. The adequacy of agent and mobile technologies is assessed in light of the particular requirements of health care applications. A software system architecture is outlined and discussed. The major contributions are: first, the conceptualization of multiple mobile and desktop devices as part of a single distributed computing system where software agents are being executed and interact from their remote locations. Second, the use of distributed decision making in multiagent systems, as a means to integrate remote evidence and knowledge obtained from data that is being collected and/or processed by distributed devices. The system will be applied to patients with cardiovascular or Chronic Obstructive Pulmonary Diseases (COPD) as well as to ambulatory surgery patients. The proposed system will allow to transmit the patient's location and some information about his/her illness to the hospital or care centre

Identification technologies to support Alzheimer contexts

Alzheimer's disease makes great demands on care by assistants, due to the fact that they cannot distract their attention from patients while they are at the same time managing records. For that reason, technologies to complement this process need to be adapted. In this work we present a proposal to adapt identification technologies: Radiofrequency Identification (RFID) and Near Field Communications (NFC), focusing especially on the last one. We fuse both technologies and apply them to an Alzheimer's day center. Patients are tagged with two kinds of labels: 13.56Mhz.Mifare for NFC and UHF for RFID. With the first one we tag the context, which means patients, devices (displays, exercise books, etc) and places. With a simple interaction, which involves touching tags with mobile phones, it is possible to manage the information easily. Moreover, with RFID, we localize each patient by the simple act of their passing by an antenna placed in the doors.