Start with your Phase 3 report. Turn on Track Changes in Microsoft Word. Revise your Word document to meet meet the requirements detailed below. (I have attached the phase II report for you to continue based from that).Phase 2: DataContinue working on your Word document in the Collaboration area. Phase III requirements are detailed below.Your Phase III report should be structured in a manner similar to this (be sure to follow the complete instructions in the Phase II requirements doc linked below):Mobile device softwareHow it communicates with the product solution, what data it receives and/or sends.What mobile OS platforms will be supported?What form factors (phones, tablets, smart watches,etc.) will be supported?Team 1: David Salmeron, Josue Camejo, Manuel Hernandez, Melanie Maestre,
Michael Soto, Theodore Atis
Professor Dr. Charlyne Walker
CNT4182: Mobile & IoT Cybersecurity
June 4, 2023
Project Hosp.ID.ality
Access and Purpose of Use of Patient Data
Access to data during and after use (real-time and historical) will depend on
the policies and rules set by the party operating the tracking system. Here are some
parties who may have access to the data and the purposes for which they are used:
1. Hospital Staff: Hospital staff, including doctors, nurses, and administrators,
can have access to real-time tracking of patient data. The goal is to monitor
patient movement, optimize resource allocation, and improve operational
efficiency in hospitals.
2. Security Personnel: Hospital security personnel may have access to track
patient data and other security activities. Its purpose is to ensure the safety of
patients, staff and hospital facilities by monitoring patient movements and
detecting suspicious activity or breaches of security.
3. Administrators and Managers: Hospital administrators and managers can
have access to track patient data historically. The goal is to analyze patient
flow patterns, identify bottlenecks, and make decisions based on historical
data to improve operational efficiency and resource allocation.
4. Designated Family Members: The displayed patient’s family can be granted
access to track real-time patient data. The goal is to provide information to the
family about the patient’s location, especially while a procedure, test, or
therapy session is taking place.
5. Law Enforcement (where appropriate): Law enforcement may have limited
access to patient data in certain situations, such as in a crime investigation or
emergency response. Their access will be subject to applicable legal and
privacy considerations.
It should be noted that data use must comply with applicable privacy laws and
regulations, and take into account the patient’s security and privacy needs. Settings
for access, storage and use of data must be carried out with due observance of
appropriate security requirements and privacy policies.
Considerations in Determining Analytics Location: Edge, Cloud, or Hybrid?
Analytics can be performed either at the edge, in the cloud, or both,
depending on your specific needs and circumstances. Here is an explanation and
justification for each choice:
1. Analytics on the Edge:
a. Low Latency: By performing analytics at the edge, data can be
processed and analyzed right where it came from without sending it to
the cloud first. This reduces time latency, which is important for
applications that require fast response times, such as in critical
situations or real-time decision making.
b. Security and Privacy: In some cases, sensitive data may be better
processed and analyzed at the edge to maintain security and privacy.
By reducing the transfer of data to the cloud, the risk of exploitation or
security breaches can be reduced.
c. Dependence on Internet Connection: Analytics at the edge allows data
processing to occur locally, not requiring a stable internet connection.
This is useful in environments with limited networks or in remote
2. Analytics in the Cloud:
a. Scalability and Capacity: Cloud computing provides unlimited
computing resources and high scalability. Analytics in the cloud
enables processing of complex and large data at high speed, and can
manage large volumes of data with ease.
b. Collaboration and Access: Analytics in the cloud enables easy access
and collaboration between different users or departments. Data can be
accessed from multiple locations, facilitating team collaboration and
consistent data access.
3. Combination of Analytics on Edge and Cloud:
a. Hybrid Approach: This option combines the advantages of analytics at
the edge and in the cloud. Data can be processed and analyzed at the
edge for real-time decisions, while data that is more complex or
requires deeper analysis can be sent to the cloud for more
sophisticated, end-to-end analytics.
b. Cost Savings: By adopting a hybrid approach, cloud usage can be
optimized by selecting data to be processed in the cloud, reducing data
transfer costs and using cloud resources efficiently.
The choice between analytics at the edge, in the cloud, or both depends on
application requirements, response speed required, desired complexity of analytics,
data security, and resource availability. A hybrid approach can provide flexibility and
balance between response speed, capacity and cost savings.

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