Online Quiz

NurseHack4Health™ Innovation Academy Post Test

Participant Disclosure: This nursing education activity was approved by the Pennsylvania State Nursing Association, an accredited approver by the American Nurses Credentialing Center’s Commission on Accreditation. To obtain 2 contact hours for this activity, learners must complete a post-test with a score of 80% or greater.
Name

First NameLast Name
Email
example@example.com
_______ is the application or creation of something new or different that delivers value. (select the correct word to fit the sentence)*

TechnologyEducationInnovationMethodologyCreativity
Innovation Process = Nursing Process*

TrueFalse
What is the first step to creating a problem statement?*

Defining the problemPrototyping a solutionTest a SolutionIdentify a Solution
Empathy is what nurses do best*

TrueFalse
What are the components of the Empathy Map?*

ThinksSaysUserFeelsAll the above
What process follows the Define stage?*

InspireIdeateCollaborateCreate
_______ allows designers to test the feasibility of their innovation. (select the correct word to fit the sentence)*

HopeCollaborateCreatePrototype
What are the 4-Hs that are covered in this training module?*

How, Help, Hope, HarmonyHeadline, How, Heart, HopeHeadline, Heart, Head, HopeNone of the Above
Storytelling allows you to talk WITH people rather than talk to people.*

TrueFalse
What is a component of HEADLINE?*

Very very longVery very shortSet the contextNone of the Above
What is a component of HEART?*

Set the contextProblem articulationBusiness PlanNone of the Above
A minimal viable product (MVP) is the minimum set of functionalities that allows you to validate your product idea and assumptions with real customers.*

TrueFalse
What is a component of HEAD?*

Set the contextScalabilityBusiness PlanMVP
What is a component of HOPE?*

The BIG closeScalabilityBusiness PlanNone of the above
What is the most important thing to remember?*

HopePracticeJump for joyGive up
Which of the following are roles of nurses in incorporating AI into the healthcare setting?*

Providing date for AI algorithms through patient care documentationAssisting in the development and refinement of AI toolsEducating patients about AI technologies and their potential impactCollaborating with interdisciplinary teams to integrate AI solutionsAll the above
AI is an area of computer science that emphasizes the creation of machines that work and react like humans, including learning, speech, problem-solving, vision, and knowledge generation.*

TrueFalse
What is the difference between AI and Machine Learning?*

AI is a subset of machine learning, focusing on narrow tasks.Machine learning is a subset of AI, focusing on the ability of machines to learn from data.There is no difference; they are just two terms for the same concept.Machine learning refers to the skills of robots, while AI refers to their ability to play chess.
What are some of the key areas for AI in healthcare?*

Predictive analytics in patient careAutomated administrative tasksPersonalized patient experienceDrug discovery and developmentAll the above
Some of the key areas for AI in healthcare include predictive care guidance, behavioral analytics, population health, medical image intelligence, telehealth, rules-based monitoring, anomaly detection, network analysis, text analysis, visual analytics, readmissions management, cost management, staffing management, throughput management, and claims management.*

TrueFalse
What are some of the challenges and risks associated with AI in healthcare?*

Some of the challenges and risks associated with AI in healthcare include exacerbating societal biases, loss of jobs requiring training for new skills, and lack of regulatory oversight.Challenges and risks associated with AI in healthcare primarily involve improved patient outcomes due to increased accuracy in diagnosis.The only significant risk associated with AI in healthcare is an increase in healthcare costs due to expensive technology.Risks related to AI in healthcare are negligible as it has been proven that AI can work without any errors or biases.
Some of the ethical questions that need to be considered when using AI in healthcare include thoroughly stress testing AI for unintended biases, effectively identifying and managing the ethical implications of technology, explaining how the AI makes decisions using data, and adhering to the fundamental principles of managing AI in an ethical way.*

TrueFalse
What are some of the critical success factors for AI integration in healthcare?*

Multidisciplinary team managementChange management approachCulture, partnering with AI expertsWorkflow/ Project identificationAll the above
Please verify that you are human*
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NurseHack4Health™ Innovation Academy Post Test