You are the lead faculty in the Community Health Nursing Course for a prelicensure baccalaureate nursing (BSN) program. Your students represent varied experiences, age groups, and cultures reflective of their diverse community population In this task, you will choose one of the modules you created and develop a summative objective assessment intended to measure student learning after they have completed the module. This summative assessment must be an objective assessment consisting of 10 objective items (e.g., multiple choice, true or false, matching, select all that apply). Please see attached file for further instructions.

Assessment 2: Leadership Development Plan and Video Presentation This is an individual assessment. Task Description: · Self-assess your leadership strengths and areas for improvement using leadership theories and self-assessment tools. · Based on this analysis, you are required to develop a structured leadership development plan with clear goals and strategies. · Present your Leadership Development Plan as professional report and a video presentation. · In this assignment, you are required to demonstrate your self-assessment skills and engage in critical reflection on your capabilities, the application of theory to practice, and your professional development planning. (2a) Leadership Development Plan Present your Leadership Development Plan as professional report. Word Limit: 2,000 ± 10% words Submission instructions: Submit your Leadership Development Plan through the link provided on the Unit Moodle site. Marking criteria and further details: Refer to Unit Moodle Site (2b) Present your Leadership Development Plan Using a video presentation, present your Leadership Development Plan. The recording must have your images and voice. Presentation Time: Online presentation of 5-8 minutes Submission instructions: Submit your Leadership Development Plan through the link provided on the Unit Moodle site. Marking criteria and further details: Refer to Unit Moodle Site Due Date : Week 9 Friday on or before 11.59 AM Weighting: 25% + 15% (2a) Leadership Development Plan – Report (2,000 words) Introduction (200–250 words)  Purpose of the report and importance of leadership development.  Brief mention of the leadership theories or tools used. Self-Assessment (400–500 words)  Analyse your leadership strengths and areas for improvement.  Support with leadership theories and self-assessment tools. Leadership Development Goals (400–450 words)  Identify key leadership goals for improvement.  Explain why these goals are important for your development. Development Strategies and Action Plan (650–700 words)  Outline strategies and actions to achieve your goals.  Link the strategies to leadership theory and professional development. Conclusion (150–200 words)  Summarise the main insights and future leadership development plans. References (2b) Video Presentation (5–8 minutes) Introduction – Purpose of your leadership development plan Self-Assessment – Key strengths and weaknesses Leadership Goals – Main areas for improvement Development Strategies – Key actions to achieve goals Conclusion – Reflection on your leadership development journey

IM521 Digital Forensics Assessment Task 2 – Digital Forensic Standards and Investigation Framework Report Weight: 30% Due: Week 9 Word Limit: 2000 words (+/- 10%) Unit Learning Outcomes Assessed LO2 Apply advanced tools and techniques to conduct digital forensic investigationsLO3 Critically analyse ethical and legal challenges in digital forensicsLO4 Critique forensic methods and tools to preserve digital evidenceLO5 Identify and interpret digital artefacts in complex investigations Purpose of the Assessment Digital forensic investigations must follow structured standards, guidelines, and legal procedures to ensure that digital evidence is correctly collected, preserved without alteration, analysed using validated tools, and presented in court as admissible evidence. This assessment requires students to critically evaluate major digital forensic standards and apply them to a simulated investigation scenario. Assessment Task Students must produce a 2000-word analytical report that:1. Explains the digital forensic investigation process2. Critically evaluates major forensic standards3. Applies these frameworks to a realistic cybercrime scenario4. Analyses legal and ethical issues5. Provides professional recommendations Recommended Report Structure 1. Introduction (Approx. 200 words) Introduce digital forensics, explain the importance of digital evidence in modern investigations, describe the role of standards and frameworks, and outline the structure of the report. 2. Digital Forensic Investigation Process (Approx. 400 words) Explain the digital forensic lifecycle including identification, preservation, collection, examination, analysis, and presentation. Reference frameworks such as NIST Digital Forensics Framework, ISO/IEC 27037, and ACPO Digital Evidence Principles. 3. Analysis of Digital Forensic Standards (Approx. 500 words) Analyse at least two digital forensic standards such as ISO/IEC 27037, NIST SP 800-86, ACPO Digital Evidence Principles, or the Electronic Discovery Reference Model (EDRM). Discuss scope, key principles, advantages, and limitations. 4. Application to Investigation Scenario (Approx. 600 words) A large agribusiness company suspects that an employee has stolen proprietary crop analytics data and shared it with a competing company. Suspicious email activity, large data transfers, and unusual USB usage have been detected. Explain how you would conduct the investigation including evidence collection, forensic tools, preservation, and artefact analysis. 5. Ethical and Legal Considerations (Approx. 200 words) Discuss privacy issues, evidence admissibility, jurisdiction challenges, and ethical responsibilities of digital forensic investigators. 6. Conclusion (Approx. 100 words) Summarise key findings and emphasise the importance of digital forensic frameworks in ensuring credible and legally admissible investigations. Referencing Requirements Students must include a minimum of 8 academic references including peer‑reviewed journal articles, cybersecurity reports, and forensic standards documentation. Referencing style: APA 7. Detailed Marking Rubric Criteria HD (80–100) D (70–80) C (60–70) P (50–60) F (<50) Understanding of Digital Forensics Concepts Comprehensive understanding with strong theoretical integration Strong understanding with minor gaps Reasonable understanding but limited depth Basic understanding with some inaccuracies Poor or incorrect understanding Analysis of Forensic Standards Excellent critical evaluation of standards Strong analysis with good comparison Adequate explanation but limited evaluation Mostly descriptive discussion Minimal or incorrect discussion Application to Case Scenario Highly logical and realistic investigation plan Good application with minor gaps Reasonable attempt but lacks depth Basic application with limited reasoning No meaningful application Identification of Digital Evidence Sophisticated identification and interpretation Strong identification of artefacts Adequate identification Limited identification Evidence types misunderstood Legal and Ethical Analysis Insightful discussion of legal and ethical implications Good analysis with clear understanding Moderate discussion Basic mention of issues Missing or incorrect

ASSESSMENT GUIDE ICT501 Business Information Systems Semester 1, 2026 Assessment Overview Assessment ID Assessment Item When due Weighting ULO# CLO# for MITS CLO# for GDITS CLO# for GCITS 1 Presentation (Individual) Session 5 20% 1, 2 1, 3 1, 3 1, 3 2 Case Study (Individual) (1000 Words) Session 9 30% 1, 2, 3 1, 2, 3 1, 2, 3 1, 2, 3 3* Project Report and Presentation (Group) (2000 Words) Session 12 50% 1, 4, 5 1, 3, 4, 5 1, 3, 4, 5 1, 3, 4, 5 Note: * denotes ‘Hurdle Assessment Item’ that students must achieve at least 40% in this item to pass the unit. Referencing Guides You must reference all the sources of information you have used in your assessments. Please use the IEEE referencing style when referencing in your assessments in this unit. Refer to the library’s referencing guides for more information. https://elearning.vit.edu.au/pluginfile.php/473840/block_html/content/VIT%20Library%20Referencing%20-%20IEEE%20-%2007042020.pdf Academic Misconduct VIT enforces that the integrity of its students’ academic studies follows an acceptable level of excellence. VIT will adhere to its VIT Policies, Procedures and Forms where it explains the importance of staff and student honesty in relation to academic work. It outlines the kinds of behaviours that are “academic misconduct”, including plagiarism. Late Submissions In cases where there are no accepted mitigating circumstances as determined through VIT Policies, Procedures and Forms, late submission of assessments will lead automatically to the imposition of a penalty. Penalties will be applied as soon as the deadline is reached. Short Extensions and Special Consideration Special Consideration is a request for: Extensions of the due date for an assessment, other than an examination (e.g. assignment extension). Special Consideration (Special Consideration in relation to a Completed assessment, including an end-of-unit Examination). Students wishing to request Special Consideration in relation to an assessment the due date of which has not yet passed must engage in written emails to the teaching team to Request for Special Consideration as early as possible and prior to start time of the assessment due date, along with any accompanying documents, such as medical certificates. For more information, visit VIT Policies, Procedures and Forms. Inclusive and Equitable Assessment Reasonable adjustment in assessment methods will be made to accommodate students with a documented disability or impairment. Contact the unit teaching team for more information. Contract Cheating Contract cheating usually involves the purchase of an assignment or piece of research from another party. This may be facilitated by a fellow student, friend or purchased on a website. Other forms of contract cheating include paying another person to sit an exam in the student’s place. Contract cheating warning: By paying someone else to complete your academic work, you don’t learn as much as you could have if you did the work yourself. You are not prepared for the demands of your future employment. You could be found guilty of academic misconduct. Many of the cheating companies recycle assignments despite guarantees of “Original, plagiarism-free work” so similarity is easily detected by TurnItIn. Penalties for academic misconduct include suspension and exclusion. Students in some disciplines are required to disclose any findings of guilt for academic misconduct before being accepted into certain professions (e.g., law). You might disclose your personal and financial information in an unsafe way, leaving yourself open to many risks including possible identity theft. You also leave yourself open to blackmail – if you pay someone else to do an assignment for you, they know you have engaged in fraudulent behaviour and can always blackmail you. Grades We determine your grades to the following Grading Scheme: Grade Percentage A 80% – 100% B 70% – 79% C 60% – 69% D 50% – 59% F 0% – 49%     Assessment Details for Assessment Item 1: Overview Assessment ID Assessment Item When due Weighting ULO# CLO# for MITS CLO# for GDITS CLO# for GCITS 1 Presentation (Individual) Session 5 20% 1, 2 1, 3 1, 3 1, 3   ASSESSMENT ITEM 1: Individual Research Brief – BIS in the Age of Cloud and IoT Word Count: 1500 (+/-10%) Task You are required to write a structured research brief analysing how modern businesses use cloud-based Business Information Systems (BIS) and Internet of Things (IoT) to enhance operations. You are expected to: Demonstrate an understanding of how BIS and IoT technologies operate and are deployed in different industries. Explore the strategic and operational roles of these systems in enhancing business performance. Integrate academic research and real-world data to show how theory is applied in practical settings. Examine how BIS and IoT technologies are transforming decision-making, service delivery, automation, and data analytics in business environments. Include examples from published case studies and scholarly literature. Your brief should not just describe these technologies, but critically evaluate their benefits, limitations, and application contexts, supported by high-quality references and business cases. Structure Guidelines 1. Introduction (approx. 200-250 words) Define BIS, cloud computing, and IoT State the purpose of the brief and key points you will address 2. Strategic and Operational Benefits (approx. 400-500 words) Explain how BIS and IoT contribute to real-time decision-making, automation, efficiency, and customer engagement Link these technologies to business strategy and competitive advantage 3. Risks and Limitations (approx. 300-400 words) Discuss risks such as data security, cost, dependency on vendors, and system integration challenges Include considerations for SMEs versus large enterprises 4. Case Studies (approx. 300-400 words) Include two real-world examples of companies using cloud BIS and/or IoT. Suggested case studies include: Walmart: use of cloud-based BIS and IoT technologies for supply chain visibility, stock control, logistics coordination, and customer service improvement Tesla: use of connected devices, cloud systems, and real-time data for vehicle monitoring, predictive maintenance, software updates, and service optimisation For each case study, learners should: describe the business context identify the BIS and/or IoT tools used explain how these technologies were implemented evaluate the outcomes achieved, including both benefits and limitations 5. Conclusion and Recommendations (approx. 150-200 words) Summarise the main findings Recommend how businesses should approach BIS and IoT adoption strategically

ICT902 Artificial Intelligence and Machine Learning Semester 1 2026 Assessment 2 – Ethical Considerations in AI Solutions – 30% Guide (Open Assessment) Submission Deadline: Sunday 19 April 2026 11:59 PM Total Assessment weighting – 30% Purpose of this assessment This assessment aims to develop student’s ability to critically examine ethical issues arising from the development and deployment of Artificial Intelligence (AI) technologies in real-world contexts. By engaging with a contemporary AI application or scenario, students will apply conceptual knowledge, ethical reasoning frameworks, and analytical thinking to identify potential risks, biases, governance challenges, and societal implications. The task requires students to evaluate the responsible use of AI systems, assess their broader organizational and social impact, and formulate well-reasoned, evidence-based recommendations. Through this process, students will strengthen their capacity for critical reflection, professional judgment, and the production of a structured academic report that demonstrates ethical awareness and responsible AI practice in complex decision-making environments. Demonstrate achievement of this learning outcome: ULO 4: Explore and critically assess the ethical considerations surrounding the development and deployment of AI technologies in society. Task description: This is an individual assessment designed to evaluate student’s ability to critically analyse ethical considerations arising from the development and deployment of Artificial Intelligence (AI) systems in real-world contexts. Students will be assigned a contemporary AI application or scenario situated within a realistic organisational or societal setting. The scenario will outline the purpose of the AI system, its operational environment, relevant stakeholders, data usage practices, and key ethical concerns. The task requires students to produce a comprehensive written report of approximately 2000 words that demonstrates critical analysis, ethical reasoning, conceptual understanding, and professional academic communication. The report must evaluate the ethical implications of the AI application, assess risks and governance challenges, and propose well-reasoned recommendations to support responsible AI development and deployment. This assessment aims to simulate a professional ethical review of an AI solution. Students will be required to: Analyse the assigned AI scenario and identify key ethical issues and stakeholders Examine potential risks including bias, fairness, transparency, accountability, privacy, and societal impact Evaluate the organisational, regulatory, and governance implications of deploying the AI system Propose evidence-based recommendations to mitigate ethical risks and enhance responsible AI practice Critically reflect on the broader implications of AI adoption in organisational and societal contexts To complete this assessment, students are required to: Critically analyse the assigned AI application or scenario, identifying ethical risks and contextual factors. Evaluate potential impacts on individuals, organisations, and society, including issues of fairness, bias, privacy, and accountability. Apply relevant ethical principles, governance considerations, and responsible AI concepts introduced in the unit. Develop structured, evidence-based recommendations to improve ethical design, implementation, and oversight of the AI system. Demonstrate academic rigour through clear argumentation, appropriate referencing, and integration of scholarly or industry sources. The final submission must include: A structured written report (PDF, approximately 2000 words) analysing the AI scenario, evaluating ethical implications, and presenting recommendations. Appropriate academic references supporting ethical analysis and argumentation. This assessment aims to help students: Critically evaluate ethical challenges in AI development and deployment. Apply responsible AI principles to realistic organisational scenarios. Formulate structured and evidence-based ethical recommendations. Communicate complex ethical and technical considerations in a professional academic format. Demonstrate readiness to engage responsibly with AI technologies in professional practice. Structure: This assessment must be submitted in an academic report format, including the provided assessment cover sheet from the ICT 902 Moodle page. The report should include an introduction, main body, conclusion, recommendations, and a reference list. Formatting: This assessment should be submitted with a word count of 2,000 words using either Calibri or Times New Roman font, size 12. The document should be double-spaced, with a minimum of ten references in APA 7 format. The assessment carries a total weight of 30%. Headings and Subheadings: Use a clear and consistent hierarchy for headings and subheadings. For instance, main headings should be in bold and a larger font size, while subheadings should be bold with a smaller font size. Font Style and Size: Ensure consistency in font style (e.g., Calibri or Times New Roman) and size (12-point for body text). The entire document should be double-spaced with uniform paragraph spacing. Alignment: Keep the text left-aligned for better readability. The body text should be justified for a neat, organised appearance. Proofreading and Editing: Review your work for grammatical errors and clarity. Consider using tools like Grammarly or peer feedback to improve writing quality. Due Date: Week 7 Resources Available: Lecture slides and notes from weeks one to ten. Videos available in the “Readings and Viewings” section of OASIS. Guide: The guide below provides a concise overview of how to approach the assessment. SCI Cover Page: (No word count) Table of Contents: (No word count, structured outline) Introduction (300–350 words) Introduce the assigned AI application or scenario and its relevance in today’s data-driven environment. Highlight the growing importance of ethical oversight in AI development and deployment. Outline how the report will examine the AI system, analyse ethical risks, evaluate governance implications, and propose responsible AI recommendations. Body of the Report: Paragraph 1: AI System and Impact Analysis (400–450 words) Describe the nature and purpose of the AI system (e.g., predictive model, automated decision system, intelligent assistant). Identify affected stakeholders, including individuals, organisations, and society. Assess potential impacts such as fairness concerns, bias, privacy risks, transparency limitations, or accountability gaps. Discuss possible regulatory or compliance implications where relevant. Paragraph 2: Ethical Risk and Governance Evaluation (450–500 words) Identify key ethical risks associated with the AI system, including data quality concerns, bias in training data, model opacity, or decision-making autonomy. Evaluate organisational responsibility, governance structures, and oversight mechanisms. Assess risk severity, potential harm, and long-term societal implications. Integrate relevant ethical principles and responsible AI concepts introduced in the unit. Paragraph 3: Responsible AI Strategy and Mitigation Framework (450–500 words) Propose a structured strategy to mitigate identified ethical risks. Recommend governance mechanisms, transparency practices, monitoring processes, or policy interventions. Discuss accountability structures, fairness auditing, and continuous evaluation mechanisms. Justify

Using one of the data files provided below, develop and test a research hypothesis. Your paper must be written in APA style and include the following sections: Introduction Sample Measures Methods/Design Results Conclusions and Recommendations You must also include appropriate tables and figures, formatted in APA style. As you work on your Final Project, keep the following guidelines in mind: Clearly present your research question. Explain why you selected your dataset and which statistical test you applied. Discuss whether your analysis has sufficient statistical power. Use one of the statistical tests covered in this course. Visually display your results using APA-formatted tables and/or figures. Describe how your findings may contribute to social change. Your final paper should be 7–10 pages, formatted according to APA guidelines. Please be sure to review the two Final Project documents found in the Learning Resources—originally introduced in Week 3. Throughout the course, you responded to a series of assignments and prompts designed to help you apply key concepts. If you’re unsure how to proceed, revisiting your previous assignments can help guide your analysis. You May Not collaborate with your peers on the final project Final Project Guidelines: USW1_RSCH_8260_finalProject_guidelines (1).pdfDownload USW1_RSCH_8260_finalProject_guidelines (1).pdf Acceptable Statistical Models. You must employ one of the Statistical Models listed below: 1: Multiple Regression Analysis (MRA), you must have at least 2 IVs. 2: MRA with Dummy Variables, you must have at least 2 IVs, 1 must be a Dummy Variable and 1 must be a scaled variable. 3: Testing for Moderation using MRA 4: Testing for Mediation Using MRA 5: Logistical Regression Analysis, you must have at least 2 IVs. 6: Factorial ANOVA, 2 IVs 7: Mixed Model Factorial ANOVA (aka Split-Plot) design. 8: ANCOVA at least 1 IV 1CV 9: MANOVA at least 3 DVs 10: Reliability Analysis Please note a Oneway Repeated Measures ANOVA is not an acceptable design. PS: One fundamental problem that students sometimes encounter when selecting appropriate data for the final project involves scales of measurement, namely nominal, ordinal, interval or ratio measures. Please note that interval and ratio level data is sometimes referred to as quantitative, magnitude, continuous data – scores. Fortunately, you learned the fours scales of measurement in your previous RSCH classes, and you reviewed them during week of this semester when you read Chapter 1 of the Warner textbook. As per my instructions, you would have asked questions on any scale that you did not fully understand. In week 1 of this semester you also learned about parametric and non-parametric statistical tests, and the assumptions of these tests. That knowledge is also key to developing a statistical model for the final project. Also, as per my instructions, you would have asked questions on aspect of parametric and non-parametric tests that you did not fully understand. Starting in Week 1, and each week through Week 10 you learned a new statistical tests as you read the assigned chapters in the Warner text; and watched the instructional videos in those weeks. Each assigned chapter in the Warner text presented the assumptions of the statistical test being presented. And, as per my instructions each week, you posted questions on any element of the statistical test that you did not fully understand. If you want to do a quick check to make sure that you are employing the appropriate scales of measure for the statistical analysis you plan to use, there are a number of websites that you can consult. Will Trochim, of Cornell has a useful website that can help: See, https://www.socialresearchmethods.net/selstat/ssstart.htmLinks to an external site. Penn State University has a site: See, https://onlinecourses.science.psu.edu/stat414/book/export/html/248Links to an external site. John McDonald’s website: http://www.biostathandbook.com/testchoice.htmlLinks to an external site. Claremount Graduate School http://wise.cgu.edu/wise-tutorials/tutorial-choosing-the-correct-statistical-test/Links to an external site. The purpose of this assignment is to determine if students have the knowledge and ability to design a quantitative study, employing one of the statistical tests covered in the class. I cannot help you select a statistical test, or to tell you if the data you plan to use meets the assumptions of that test. That’s part of the assignment – to assess whether, or not, you possess that knowledge.

To Prepare · Refer to the “Population-Focused Nurse Practitioner Competencies” in the Learning Resources, and consider the quality measures or indicators advanced practice nurses must possess in your specialty. · Refer to your “Clinical Skills Self-Assessment Form” you submitted in Week 1 and consider your strengths and opportunities for improvement. · Refer to your Patient Log in Meditrek; consider the patient activities you have experienced in your practicum experience and reflect on your observations and experiences. In 450–500 words, address the following: Learning From Experiences · Revisit the goals and objectives from your Practicum Experience Plan. Explain the degree to which you achieved each during the practicum experience. · Reflect on the 3 most challenging patients you encountered during the practicum experience. What was most challenging about each? · What did you learn from this experience? · What resources were available? · What evidence-based practice did you use for the patients? · What would you do differently? · How are you managing patient flow and volume? How can you apply your growing skillset to be a social change agent within your community? Communicating and Feedback · Reflect on how you might improve your skills and knowledge and how to communicate those efforts to your Preceptor. · Answer these questions: How am I doing? What is missing? · Reflect on the formal and informal feedback you received from your Preceptor. By Day 7 Submit your Journal. submission information Before submitting your final assignment, you can check your draft for authenticity. To check your draft, access the Turnitin Drafts from the Start Here area. 1. To submit your completed assignment, save your Assignment as WK11Assgn_LastName_Firstinitial 2. Then, click on Start Assignment near the top of the page. 3. Next, click on Upload File and select Submit Assignment for review. Rubric PRAC_6675_Week11_Assignment_Rubric

Assignment 1 NUR 650 CL For this week’s reflection, briefly discuss your understanding of group psychotherapy techniques and the role of the PMHNP as a group facilitator. Please address the following in a summary format 1. What is the purpose of group psychotherapy? 2. What are 2-3 group techniques that can support client engagement and growth? 3. What is the PMHNP’s role in maintaining group safety, structure, and therapeutic communication? 4. How can you apply these techniques in future clinical practice? Your reflection should be concise, organized, and professionally written. Use examples from course content or clinical practice when approprate. Assignment 2 NUR 650 End-of-Course Reflection Assignment Purpose: This assignment is designed to promote self-reflection, critical thinking, and professional growth as a Psychiatric Mental Health Nurse Practitioner (PMHNP) student. Reflection supports the integration of clinical knowledge, evidence-based practice, and therapeutic skills essential for advanced nursing practice. Instructions: At the end of the course, submit a one-page reflective paper (APA format) addressing the following: • Knowledge Integration:
 Briefly describe how your understanding of group psychotherapy, group dynamics, and theoretical models has developed throughout this course. • Clinical Application:
 Explain how you have applied or plan to apply evidence-based practices in group or family mental health settings. • Professional Growth: 
 Reflect on your development in therapeutic communication, collaboration, and clinical decision-making. Identify one strength and one area for improvement. • Future Practice:
 Discuss how this course will influence your role as a future PMHNP and identify one professional goal moving forward. Requirements: • Length: 1 page (excluding title and reference page) • Format: APA 7th edition • References: Include at least 1 scholarly reference • Writing Style: Scholarly, clear, and concise (first person is acceptable) Evaluation Criteria: • Demonstrates reflection and critical thinking • Integrates course concepts and evidence-based practice • Clear, organized, and professional writing • Relevance to future PMHNP practice Assignment 3 Jordan is a 16-year-old high school student who presents to the clinic for evaluation due to declining academic performance and difficulty concentrating in school. Jordan reports that their grades have progressively worsened over the past semester, and teachers have noted increased distraction and withdrawal during class. During the clinical interview, Jordan reports experiencing significant stress at home. Jordan recently disclosed to their parents that they identify as gay. Since this disclosure, Jordan reports frequent arguments between their parents regarding their sexual orientation. Jordan describes feeling like “the cause of the conflict” and reports feeling guilty, anxious, and emotionally overwhelmed when the arguments occur. Jordan states that their parents sometimes drink alcohol in the evenings, and the arguments appear to intensify when alcohol is involved. Jordan believes that their father drinks more heavily but cannot clearly quantify the amount of alcohol consumed by either parent. Jordan also reports experiencing feelings of isolation at school, noting that only a few friends know about their sexual orientation. Jordan denies suicidal ideation but admits feeling sad, stressed, and distracted, which has affected their ability to focus on schoolwork. Jordan has not previously received mental health counseling and reports uncertainty about how to talk to their parents about the impact of their conflict. Jordan expresses interest in finding support but is unsure where to begin. Your initial post should be at least 500 words, formatted and cited in current APA style. Discussion Questions Based on the case scenario above, answer the following questions: 1. Assessment Priorities What information would be most critical for the clinician or group therapy leader to collect during the initial assessment with this adolescent? Consider areas such as mental health history, family dynamics, substance use within the household, and potential risk factors. 2. Group Treatment Goals What would be the primary goal of group treatment for this adolescent and their family situation based on best practices in group therapy and LGBTQ+ affirming care? 3. Harm Reduction Strategies Identify harm reduction strategies that could support Jordan’s mental health and well- being while navigating family conflict and stress. 4. Community Support Resources Identify your city and locate three community support groups or organizations that provide services for LGBTQ+ youth or families. For each agency, include: • Name of the organization • Type of support offered (e.g., peer support groups, counseling, family education) • Rationale for why the agency would promote positive mental health outcomes for this patient 5. Role of the PMHNP Discuss how a Psychiatric Mental Health Nurse Practitioner (PMHNP) can advocate for inclusive, culturally competent care when treating LGBTQ+ adolescents experiencing family conflict and psychosocial stressors.

Create an annotated bibliography related to your clinical practice ( Diabetes Mellitus) and should include: A brief overview of each article, including the research type, major findings, and conclusions following the current APA style for annotated bibliographies. A description of the relevance of each article for clinical practice. Submission Instructions: The bibliography should be original and logically organized. The bibliography should follow the current APA format for citing and documenting references. The bibliography should be clear and concise and students will lose points for improper grammar, punctuation, and misspelling. Incorporate a minimum of 6 current (published within the last five years) references from peer-reviewed journals. PLEASE USE THE ATTACHED DOCUMENT ( place in APA format) References for Annotated bibliography Barrea, L., Verde, L., Colao, A., & Savastano, S. (2025). Medical nutrition therapy for the management of type 2 diabetes mellitus. Nature Reviews Endocrinology, 21, 769–782. https://doi.org/10.1038/s41574-025-01161-5 Bloomgarden, Z. T. (2023). A diabetes update. Journal of Diabetes, 15(7), 542–544. https://doi.org/10.1111/1753-0407.13434 Klisic, A., & Tzeng, I.-S. (2023). New trends in type 2 diabetes diagnosis and management in primary care. Frontiers in Medicine, 10, 1243319. https://doi.org/10.3389/fmed.2023.1243319 Nishida, Y., & Watada, H. (2024). The up-to-date treatment for diabetes and prevention of its complications. Juntendo Medical Journal, 70(6), 400–407. https://doi.org/10.14789/ejmj.JMJ24-0030-R Rodríguez-Saldaña, J., et al. (2024). A critical review on diabetes mellitus type 1 and type 2 management approaches: From lifestyle modification to current and novel therapeutic targets. Frontiers in Endocrinology, 15, 1440456. https://doi.org/10.3389/fendo.2024.1440456 Umpierrez, G. E., et al. (2023). Effectiveness of continuous glucose monitoring on glycemic control in type 2 diabetes: A systematic review and meta-analysis. The Journal of Clinical Endocrinology & Metabolism. https://doi.org/10.1210/clinem/dgad652

You are a healthcare informatics consultant assigned to a medium-sized urban hospital with a diverse patient population. The hospital has recently experienced challenges related to medication administration, leading to delays and errors. Your task is to analyze the existing workflows and propose informatics solutions to optimize the medication administration process. In this assignment, you will delve into the intricacies of healthcare workflows related to medication administration. By critically analyzing a provided case scenario, you will identify challenges and areas for improvement within the existing workflows. The primary focus will be on proposing informatics solutions to enhance efficiency, safety, and overall optimization of medication administration processes. Instructions You will analyze the a case scenario using pharmacology and informatics materials to analyze, identify, and propose solutions to optimize the medication administration process. The case you will review can be found within the Analyzing Medication Administration Workflows and Optimization Case Scenario document as found as a resource within the assignment in Canvas. Identify three challenges and/or areas for improvement. Based on these findings, propose at least three informatics solutions to enhance efficiency, safety, and overall optimization of medication administration processes. Each solution you provide should be supported by relevant literature. You will write a 2,000-word paper in current APA format on your analysis. The title page and the references do not count towards the 2,000-word count requirement. The paper must include at least 7 references (scholarly articles published within the last five years) in addition to the course textbook and the Bible. Each reference must have at least one citation in APA format. Note: Your assignment will be checked for originality via the Turnitin plagiarism tool.