The definition of efficient and accurate health processes in hospitals is crucial for ensuring an adequate quality of service. Knowing and improving the behavior of the surgical processes in a hospital can improve the number of patients that can be operated on using the same resources. However, the measure of this process is usually made in an obtrusive way, forcing nurses to get information and time data, affecting the proper process and generating inaccurate data due to human errors during the stressful journey of health staff in the operating theater. The use of indoor location systems can take time information about the process in an unobtrusive way, freeing nurses, allowing them to engage in purely welfare work. However, it is necessary to present these data in a understandable way for health professionals, who cannot deal with large amounts of historical localization log data. The use of process mining techniques can deal with this problem, offering an easily understandable view of the process. In this paper, we present a tool and a process mining-based methodology that, using indoor location systems, enables health staff not only to represent the process, but to know precise information about the deployment of the process in an unobtrusive and transparent way. We have successfully tested this tool in a real surgical area with 3613 patients during February, March and April of 2015.

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A system based on mobile phones with built-in cameras has been developed for the postoperative management of patients sent home after day surgery. The system allows patients to send pictures and pulse oximetry measurements to a hospital server in a few seconds. Health professionals can then see what patients are describing and make a more objective estimate of the patients' status. Over a five-month period, a total of 49 patients used the system. A total of 222 images were sent, the average image delivery time being 29 s (SD 11). In nine cases (18%), the availability of images modified the treatment, and a visit to an emergency unit was avoided in eight of them who had blood-stained dressings and normal haematomas. The patients who had their treatment modified sent more images (an average of 5.4/patient) than those for whom images confirmed the correct treatment (3.1/patient). Each telephone call lasted for a mean duration of 18 min (range 8-34). The patient satisfaction data showed that all the aspects studied were evaluated in a very positive way, with 96% of the patients completely satisfied with the attention received by the mobile health application.

Paper presents a home telecare platform for parients with cardiac diseases usable by medical sraff or parients through several agents: a Personal Digital Assistant, a Set-Top-Box (STB), a laptop, and a Personal Computer (PC), being valid for different cardiac disease scenarios: home intensive telecare. autonomous monitoring, and home hospitalisation.Platform is accesible via web through differenr rechnologies (xDSL HFC, POTS, GPRS, and UMTS in a nexr future) and main features are videoconference, elecrronic history record, e-prescription, on-line and offline mnitorisarion, scheduler, alarms managers and user customised cardiac information.Home telecare platform is being validated by the Cardiac Unir of 9 d'Ocrubre Hospiral and Home Hospiralisation Unit of La Fe Hospital in Valencia, Spain with satisfactory results.

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This paper presents the architecture of a complete communications platform for biosensor-based applications in the domain of sleep disorders. It covers from the direct communication with the sensors themselves to the most remote application modules. It has been divided into three levels: BAN (Body Area Network), LAN (Local Area Network) and WAN (Wide Area Network), and it uses wireless communications at all levels of the architecture.

The aim of this paper is to describe the solution that has been developed in Valencia Region (Spain) to provide health professionals (physicians and nurses) access to all the functionalities of a Hospital Information System (HIS) already available at fixed clients workstations. These functionalities are adapted to the care process carried out at patient bedside. In this way, professionals will have access to treatment and administration, recording of vital signs, nursing assessment, scales, care plan, extractions, medical records, progress notes so that they have all necessary information at the bedside, and record swiftly changes that occur in-situ. In addition, clinical safety is reinforced, including RFID patient identification mechanisms and barcode readers for blood samples or unidosis medication.

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