ACTUAL QUESTIONS WITH VERIFIED
ANSWERS.
The three biggest mHealth challenges associated with
implementation include: - correct answer-patients misinterpret
their own data, make poor health decisions, and data privacy
and legal risks.
Implications for mHealth research encourage the use of guides
that have been endorsed by major donor organizations and
outline best practices for technology-enabled programs. Identify
the strategies that best support mHealth research. - correct
answer-b. Reuse and improve existing tools and platforms
rather than build new ones
c. Mitigate overlap and waste of implementing mHealth projects
e. Sustainability in mHealth projects
A downtime risk assessment will be developed based on -
correct answer-root cause and degree of impact
,An organization's emergency preparedness and disaster
planning groups will have a component of IT downtime as part
of a disaster drill. A best practice assessment tool for evaluating
a downtime event is - correct answer-a configuration
management database
Communication strategies for planned and unplanned
downtime in your organization should provide clinicians and
support staff enough information, but not too much. A good
strategy is a template message explaining: - correct answer-
what is down, when it began, how long, why, what changed,
who is impacted, what to expect, and what procedures to follow
Information technology and clinical staff members have roles in
system downtime planning. What two roles are specific to the
IT staff in addressing system downtime planning? - correct
answer-.Establish methods to communicate to senior
leadership, staff, and the community.
e. Test the new functionality and discover any dependencies.
A business continuity plan for your organization would include -
correct answer-b. which systems can be excluded from initial
recovery.
d. exercises to test the plan.
, e. expected time to recovery based on the requirement for
service and available resources.
The categories of prescriptive and predictive analytics are used
to analyze data. Which method involves machine and statistical
learning? - correct answer-. Knowledge discovery and data
mining methods
The characteristics of big data include: - correct answer-
volume, variety, value, veracity, and velocity
When very large amounts of data are available, large sets can
be sampled for model development and validation. Which
statement best describes key elements of model development
and validation: - correct answer-training data, incremental
testing of data examples during training, and data held out from
the training process for the purpose of unbiased performance
estimation.
Identify two reasons why knowledge discovery and data mining
(KDDM) is a preferred method - correct answer-b. analyzes
complex nonlinear relationships
e. analyzes very large repositories of clinical data from large
data warehouse with standard and local sets of variables