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Remote Health Monitoring with CHN

Some months ago, I described the plan to develop a prototype based on the CHN services integrating wireless sensor technology for remote health monitoring (see here: Wireless Sensor Networks for SAP Healthcare).

The doctor uses his application during a monthly checkup to lookup the Personal Medical Record (PMR) of a patient and to analyze the sensor data collected by a Body Sensor Network (BSN) the patient is wearing.

Today, I present the results of our work. In the prototype, we connected a simulated BSN that monitors heart rate, blood glucose, blood pressure and body temperature of the patient with services from the Collaborative Health Network (CHN). The sensor measurements are sent to the Enterprise Integration Component (EIC), a generic mediation layer for connecting wireless sensor networks (WSN) to any kind of business application. The EIC converts the incoming sensor measurements into a generic data format, stores and processes the data and provides a generic web-service based interface for business applications.



The EIC services to access the sensor data and the enterprise services from the CHN are integrated in a Yahoo Widget application created with the AJAX-based widget composition platform called Rooftop (read more in the blog by Alexander Dreiling here:  Enterprise Mashup Widgets). The RoofTop platform enables business users to connect enterprise services (e.g. from the CHN) and web services (e.g. from the EIC providing access to sensor information) in order to built powerful applications in a graphical way.



The doctor enters the patient’s name in the input box on top. In the list below, he selects the patient and gets immediatly all patient encouters. In the lower part of the application the data from the Body Sensor Network of the patient is displayed. On the left side, the doctor can select one of the available sensors. On the right side, the latest sensor reading and the history of sensor data is displayed.


As further improvement, a graphical view of the sensor data can be envisioned. This would empower the doctor to overview easier irregulations in the sensor readings. Of course a ‘real’ medical application would link the sensor data to the pathology and the medical history of the patient. Our prototype shows mainly the feasibility of integrating WSN technology within the SAP Healthcare products. Including medical knowledge in such applications is in the responsibility of healthcare experts.

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