Wireless and Web-based medical monitoring in the home

MEDIC: medical embedded device for individualized care

OBJECTIVE

Presented work highlights the development and initial validation of a medical embedded device for individualized care (MEDIC), which is based on a novel software architecture, enabling sensor management and disease prediction capabilities, and commercially available microelectronic components, sensors and conventional personal digital assistant (PDA) (or a cell phone).

METHODS AND MATERIALS

In this paper, we present a general architecture for a wearable sensor system that can be customized to an individual patient's needs. This architecture is based on embedded artificial intelligence that permits autonomous operation, sensor management and inference, and may be applied to a general purpose wearable medical diagnostics.

RESULTS

A prototype of the system has been developed based on a standard PDA and wireless sensor nodes equipped with commercially available Bluetooth radio components, permitting real-time streaming of high-bandwidth data from various physiological and contextual sensors. We also present the results of abnormal gait diagnosis using the complete system from our evaluation, and illustrate how the wearable system and its operation can be remotely configured and managed by either enterprise systems or medical personnel at centralized locations.

CONCLUSION

By using commercially available hardware components and software architecture presented in this paper, the MEDIC system can be rapidly configured, providing medical researchers with broadband sensor data from remote patients and platform access to best adapt operation for diagnostic operation objectives.

Potential impact of advanced clinical information technology on cancer care in 2015

New clinical information technologies now sporadically available will soon be in routine clinical use, bringing many changes to all phases of the cancer care continuum. For example, new technologies such as: (1) The next generation Internet; (2) Real-time clinical decision support systems; (3) Off-line, population-based systems; (4) Large, integrated, individual patient-level phenotypic and genotypic databases with intelligent data mining capabilities; (5) Wireless, invasive and non-invasive physiologic monitoring devices; (6) Natural Language Processing (NLP) systems; and (7) Mathematical models of complex biological systems all have the potential to impact significantly the provision of cancer care throughout its continuum. While new information management and communication techniques and technologies will reduce many of the inefficiencies and inaccuracies of our present systems, there will be an equal, and potentially far more dangerous, set of unintended consequences. Informatics investigators, cancer specialists, and health system administrators must focus on the study of what is working and what is not, as well as, on development and testing of the new clinical information management and communication technologies, if we are to be ready for the future.

Patient safety. Remember who it's really for

Patients appear in the patient safety agenda in three important places: first and foremost as the individual most likely to experience the positive benefits of good care or negative consequences of unsafe care; second, as surveyors of quality of care indicators; and finally, through their presence as patient representatives on institutional safety committees. However, patient safety programs largely address provider-interests, and many times overlook patient preferences and needs. Active engagement of the patient in all aspects of the patient safety agenda is necessary for its success. Patient safety, then, requires: a comprehensive agenda informed by patient preferences and experiences; an informed and motivated populace; mechanisms integrate safe practices and patient preferences, and investment in safety-enhancing devices and care strategies.