The following case study is related to A Pervasive Health System Integrating Patient  Monitoring, Status Logging and Social Sharing conducted by Andreas K. Triantafyllidis. Read  them very carefully.   A Pervasive Health System Integrating Patient Monitoring, Status Logging  and Social Sharing   The communication flow concerns four diverse nodes: the mobile device referred to as Mobile  Base Unit (MBU), the Sensors, the Back-end Platform, and the External Social Network  Platform. The MBU is the system's core part consisting of 5 layers: a) the Personal Health  Information Repository, b) the Personal Health Information Controller, c) the Social  Networking Controller, d) the Communication Controller, and e) the User Interface. The MBU  is connected wirelessly with the sensors, and it is Personal Health Information Controller  handles the information reflecting the patient's status. The Personal Health Information  Repository is constructed based on the MBU's built-in record management system, which is  utilized to record the various conditions or problems met, along with the patient's activities and  alerts. All captured information is replicated to the back-end platform of the Medical Center  offering the services and acts as the MBU surrogate host. Moreover, since the specific mobile  device can be still considered as a limited platform to deploy advanced data/information  processing, health information persisted in the back-end infrastructure can enable the  employment of sophisticated data analysis methods for pattern and trend discovery.  Communication between the MBU and the back-end platform is achieved via a set of  communication interfaces defined and implemented according to the SOA paradigm. This  provides significant advantages compared to other architectures, such as interoperability and extensibility. In particular, Simple Object Access Protocol (SOAP) messages over HTTP are transmitted from the MBU, after calling the pre-defined Web service operations related to health information management, e.g., getConditions(), getSituations(), etc., via communication stubs corresponding to the Web Service Description Language (WSDL) interface. The Communication Controller module is responsible for utilizing and controlling the entire client communication with the back-end infrastructure, also persisting unsent information due to potential network unavailability for later transmission. The MBU communicates with the External Social Network Platform via a SOAP/WSDL Application Programming Interface (API) or a Representational State Transfer (REST) API, as many existing social sharing platforms commonly provide. These APIs provide a way for accessing and using externally the most typical functionalities provided by the platform while also providing the necessary mechanisms for authentication and privacy via the adoption of protocols, e.g., OAuth. Thus, the MBU may safely connect to the External Social Network Platform via the design and implementation of appropriate client methods incorporated in the Social Networking Controller module. Information conveyed by the user to micro-blogging services is realized by combining predefined tags (information labels) and optional status descriptors following the general format: #*Alert/Symptom , where * denotes a mandatory term from a standard medical terminology system, and <> optional status descriptors from an application-specific vocabulary, e.g., #*Light-headedness while Shopping this Morning. The tags provide a convenient way to discover messages of interest in one's social network; for example, the asterisk (*) character is used after the hash to distinguish the medical terms related to symptoms/alerts provided within our system. Moreover, social analytics and processing may be supported and employed, due to the availability of this semi-structured information, without the need for applying complex natural language processing mechanisms. The user may browse/search messages within their group(s) of subscribers, making it easy to track messages of interest.   (a) Based on the explanation above, build a Sequence Diagram illustrating monitoring (via available sensors), status logging, and sharing of health information by the patient.

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The following case study is related to A Pervasive Health System Integrating Patient 
Monitoring, Status Logging and Social Sharing conducted by Andreas K. Triantafyllidis. Read 
them very carefully.

 

A Pervasive Health System Integrating Patient Monitoring, Status Logging 
and Social Sharing

 

The communication flow concerns four diverse nodes: the mobile device referred to as Mobile 
Base Unit (MBU), the Sensors, the Back-end Platform, and the External Social Network 
Platform. The MBU is the system's core part consisting of 5 layers: a) the Personal Health 
Information Repository, b) the Personal Health Information Controller, c) the Social 
Networking Controller, d) the Communication Controller, and e) the User Interface. The MBU 
is connected wirelessly with the sensors, and it is Personal Health Information Controller 
handles the information reflecting the patient's status. The Personal Health Information 
Repository is constructed based on the MBU's built-in record management system, which is 
utilized to record the various conditions or problems met, along with the patient's activities and 
alerts. All captured information is replicated to the back-end platform of the Medical Center 
offering the services and acts as the MBU surrogate host. Moreover, since the specific mobile 
device can be still considered as a limited platform to deploy advanced data/information 
processing, health information persisted in the back-end infrastructure can enable the 
employment of sophisticated data analysis methods for pattern and trend discovery. 
Communication between the MBU and the back-end platform is achieved via a set of 
communication interfaces defined and implemented according to the SOA paradigm. This 
provides significant advantages compared to other architectures, such as interoperability and extensibility. In particular, Simple Object Access Protocol (SOAP) messages over HTTP are transmitted from the MBU, after calling the pre-defined Web service operations related to health information management, e.g., getConditions(), getSituations(), etc., via communication stubs corresponding to the Web Service Description Language (WSDL) interface. The Communication Controller module is responsible for utilizing and controlling the entire client communication with the back-end infrastructure, also persisting unsent information due to potential network unavailability for later transmission. The MBU communicates with the External Social Network Platform via a SOAP/WSDL Application Programming Interface (API) or a Representational State Transfer (REST) API, as many existing social sharing platforms commonly provide. These APIs provide a way for accessing and using externally the most typical functionalities provided by the platform while also providing the necessary mechanisms for authentication and privacy via the adoption of protocols, e.g., OAuth. Thus, the MBU may safely connect to the External Social Network Platform via the design and implementation of appropriate client methods incorporated in the Social Networking Controller module. Information conveyed by the user to micro-blogging services is realized by combining predefined tags (information labels) and optional status descriptors following the general format: #*Alert/Symptom , where * denotes a mandatory term from a standard medical terminology system, and <> optional status descriptors from an application-specific vocabulary, e.g., #*Light-headedness while Shopping this Morning. The tags provide a convenient way to discover messages of interest in one's social network; for example, the asterisk (*) character is used after the hash to distinguish the medical terms related to symptoms/alerts provided within our system. Moreover, social analytics and processing may be supported and employed, due to the availability of this semi-structured information, without the need for applying complex natural language processing mechanisms. The user may browse/search messages within their group(s) of subscribers, making it easy to track messages of interest.

 

(a) Based on the explanation above, build a Sequence Diagram illustrating monitoring (via available sensors), status logging, and sharing of health information by the patient. 

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