Fluent Essays

Focus of the Final Paper Construct a system analysis paper based on your weekly presentations. Please note this is an individual paper. The paper should represent the research and recommendations you have performed for the proposed business information system over the previous four weeks in a cohesive format. Your paper should demonstrate critical thought. The paper should be 2400 to 3000 words, excluding the title, diagrams, and reference pages. The structure of the paper should be as follows:  Cover Page Title of paper Student’s name Course name and number Instructor’s name Date submitted Introduction  The introduction should familiarize the reader with the proposed business information system and outline the major points that you will cover in the paper. It should include your thesis statement. If you need assistance with writing a thesis statement, visit the Writing Center’s website for help. Body Make the suggested changes to the PowerPoint assignments for Weeks 1 through 4 based on the constructive feedback provided by your instructor. Do not simply copy and paste your previous assignments into your final paper. Read your writing and improve upon what you have already written to connect everything learned in this class. Be sure that your paper addresses the following points. System Overview Provide a brief overview of the proposed business information system and describe What it would accomplish for the business organization Who are the stakeholders in the proposed business information system What are the business information system requirements How the requirements are elicited, analyzed, documented, reviewed and confirmed How would the business analyst ensure the business information system or solution satisfied all stakeholder requirements. Explain which of the potential approaches to system development (computer-aided software engineering (CASE) tools, joint application design (JAD), rapid application development (RAD), participatory design (PD), or the use of Agile Methodologies should be considered for the proposed business information system design. Support your explanation with examples from your own experiences and/or from any scholarly journal citations. Briefly discuss what each stage of the Systems Development Life Cycle (SDLC) approach would accomplish in your proposed business information system. Requirements Determination Discuss the types of documents that would be useful to analyze for requirements gathering purposes and why they would be important. Additionally, discuss which documents would be possible to obtain as well as which ones would be difficult to obtain (think about the records and knowledge keeping within the organization, some information resides in specific documents while some is scattered throughout the organization). Create a questionnaire that includes at least ten well-written questions that you can use for information gathering. Explain your rationale for the style in which you wrote the questions. Identify which modern requirements determination methods (Joint Application Design and/or Prototyping) would be appropriate for this business information system and explain why you think they would be suitable. Using your proposed business information system scenario, discuss at least one example of each of the nine system characteristics: What are the Components and Interrelated Components in the proposed business information system, What would be the Boundary of the proposed business information system, What is the Purpose of the proposed business information system, What is the Environment of the proposed business information system, What are the Interfaces of the proposed business information system, What are the Constraints of the proposed business information system, and What are the Inputs and Outputs to the proposed business information system Scope and Feasibility Explain the proposed business information system’s scope. Please refer to Table 4-3 in the text Develop a business information system plan. Please refer to Table 4-4 in the text. Assess the business information system’s feasibility from the system analyst’s perspective by using the six categories of feasibility factors (economic, operational, technical, schedule, legal and contractual, and political feasibility) outlined in the text (Section 4.3 Assessing Project Feasibility). Develop a Project Scope Statement for the proposed business information system, refer to Figure 4-12 in the text. Include the following categories in the statement: General Project Information, Problem/Opportunity Statement, Project Objectives, Project Description, Business Benefits, Project Deliverables, and Estimated Project Duration. Diagrams Develop a context-level data-flow diagram for the proposed system (use Fig. 6-5 in the text as a guide). You can use Microsoft PowerPoint to develop the data flow diagrams. Develop a level-0 diagram for the proposed system (use Fig. 6-6 in the text as a guide). Using the level-0 diagram that you previously constructed, select one of the level-0 processes and prepare a level-1 diagram (use Fig. 6-8 in the text as a guide). Data Modeling For the proposed business information system and the data flow diagrams developed previously, consider potential customer transactions. Provide a list of all the entities (like supplier, customer, etc.) for which system will need to store information. Identify a set of attributes for each entity listed above (like customer name, supplier phone). See 7.3 Introduction to Entity-Relationship Modeling: Attributes in the text. Specify an identifier (like employee ID, supplier phone, etc.) for each entity and explain the rules you applied when you selected the identifier. See 7.3 Introduction to Entity-Relationship Modeling: Candidate Keys and Identifiers in the text. Develop an entity-relationship diagram for entity relationships. Be sure to specify the cardinalities for each relationship (use Fig. 7-10 in the text as a guide). Remember, cardinality of a relationship is the number of instances of an entity that can be associated with each instance of another entity. User Training and Maintenance For a business analyst, it is also important to plan for training of all users of the system and develop a maintenance plan for the life of the system (use Table 10-5, and 10-6 in the text as a guide). Provide a brief suggested plan for user training. For the proposed business information system, provide a brief plan for maintenance of the system (use Table 10-7 in the text as a guide). To ensure readability, supply headings for each section of the body.  Conclusion In your conclusion, restate your thesis statement. Review your conclusions. Include any ideas you have about the business information system that you did not already discuss. References Provide an APA-formatted reference list. In addition to the text, cite at least four additional scholarly references from the University of Arizona Global Campus Library to support your discussion.  The Final Paper Must be 2400 to 3000 words (eight to 10 double-spaced pages) in length (not including title, diagrams, and references pages).  Format the paper according to APA style as outlined in the Writing Center (Links to an external site.). Must include a separate title page with the following: Title of paper Student’s name Course name and number Instructor’s name Date submitted Must use at least three scholarly sources in addition to the course text. The Scholarly, Peer Reviewed, and Other Credible Sources (Links to an external site.) table offers additional guidance on appropriate source types. If you have questions about whether a specific source is appropriate for this assignment, please contact your instructor. Your instructor has the final say about the appropriateness of a specific source for a particular assignment. Must document all sources in APA style as outlined in the Writing Center. Must include a separate references page that is formatted according to APA style as outlined in the Writing Center. The Proposal of Business Information System Alexander Stokes Ashford University Farooq Afzal September 29, 2021   Description The Business Organization The American Society of Hematology (ASH) promotes and supports scientific and clinical hematology research (Neunert et al., 2019). ASH organization encourages everyone within the hematology community to precisely embrace its agenda. This worlds leading professional society serves scientists and clinicians working to conquer blood disorders. The American Society of Hematology (ASH) is typically an organization leading the world in promoting and supporting scientific and clinical hematology research primarily through its numerous innovative award programs, publications, advocacy efforts, and meetings (Neunert et al., 2019). As a significant organization, ASH encourages everyone within the hematology community to precisely embrace its agenda. Ideally, this worlds leading professional society serves scientists and clinicians working to conquer blood disorders. 2 Background Information of The Existing System The best information system for this organization would be clinical decision support (CDS). Many healthcare organizations have used this healthcare information system (Hashi et al., 2017). A clinical decision support information system is a health information technology. It provides healthcare professionals, clinicians, patients, and other critical care providers with healthcare information to boost quality patient-centered care. An ideal information system for this organization would be clinical decision support (CDS). Various healthcare organizations have used this healthcare information system in their clinical operations (Hashi et al., 2017). A clinical decision support information system is typically a health information technology that provides healthcare professionals, clinicians, patients, and other critical care providers with person-specific information and knowledge on healthcare to boost quality patient-centered care. 3 Cont’ There are many clinical decision support systems such as diagnostic support, including MYCIN and QMR, reminders and alerts. The clinical decision support system is a cost-effective tool. It provides timely information primarily at the critical point of care to assist (Beeler et al., 2014). A clinical decision support system boosts patient outcomes and contribute to high-quality healthcare. There are numerous clinical decision support systems such as diagnostic support, including MYCIN and QMR, reminders and alerts founded on the Arden Syntax, and patient management systems using computer representations of patient care policies and guidelines. The clinical decision support system is a cost-effective tool since it provides timely information primarily at the critical point of care to assist in informing precise decisions regarding patients care (Beeler et al., 2014). If used concisely, a clinical decision support system would boost patient outcomes and contribute to high-quality healthcare. 4 Business Requirements Of The Proposed System. Most healthcare organizations use clinical decision support systems. They focus on order sets generated for specific health conditions such as anemia or particular patients. The clinical decision support system gives reminders for diagnosis, preventive care, and alerts concerning potentially hazardous situations. Most healthcare organizations using clinical decision support systems focus on order sets generated for specific health conditions such as anemia or particular patients, databases, and recommendations that might provide information or data pertinent and appropriate for such patients. For instance, when dealing with critical care patients, the clinical decision support system gives reminders for diagnosis, preventive care, and alerts concerning potentially hazardous situations. 5 The Functional Requirements Of The System. A clinical decision support system plays a central role in the healthcare industry. It assists healthcare providers, clinicians, and other critical caregivers in analyzing patient information (Sutton et al., 2020). A concise clinical decision support system provides primary care providers and clinicians with information for improving the quality of the care they provide to their patients. The system has three paramount integrated stages, including the diagnosis phase, assessment of severity phase, and management phase. A clinical decision support system plays a central role in the healthcare industry in assisting healthcare providers, clinicians, and other critical caregivers in analyzing patient information and using such data to formulate a diagnosis and treatment plan (Sutton et al., 2020). Thus, a concise clinical decision support system provides primary care providers and clinicians with information for improving the quality and safety of the care they provide to their patients. The system has three paramount integrated stages, including the diagnosis phase, assessment of severity phase, and management phase. 6 The Alternative System Development Methodologies The alternative system development methodology appropriate in the organization would be the joint application design (JAD). The methodology encompasses the clients or end-users in the design and implementation of the application (Hashi et al., 2017). It would be appropriate for the American Society of Hematology. It would improve efficacy in providing precise clinical decisions contributing to cost reduction. The approach would ensure a better understanding and enhanced quality training and education. The alternative system development methodology that would be appropriate for implementing a clinical decision support system in the organization would be the joint application design (JAD). The methodology encompasses the clients or end-users in the design and implementation of the application primarily through a sequence of collaborative agencies (Hashi et al., 2017). It would be appropriate for the American Society of Hematology since it would improve efficacy in providing precise clinical decisions contributing to cost reduction. The approach would ensure a better understanding and enhanced quality training and education which meets the clinicians, scientists, and other stakeholders expectations. 7 Choice On The Proposed System. American Society of Hematology serves and trains scientists, healthcare professionals, and clinicians. Provision of quality training, education, clinical care, and advocacy to clinicians needs information systems (Beeler et al., 2014). A clinical decision support system would be the best health information system. It will help healthcare professionals provide quality and safe patient-centered care. American Society of Hematology serves and trains scientists, healthcare professionals, and clinicians to equip them with adequate skills and knowledge to conquer blood disorders. Provision of quality training, education, clinical care, and advocacy to clinicians on the best ways of conquering blood diseases needs information systems (Beeler et al., 2014). A clinical decision support system would be the best health information system to help healthcare professionals provide quality and safe patient-centered care. 8 Benefits of The Proposed System A clinical decision support system would be preferred. It will be funded to help the ASH organization meet its agenda and strategic goals. The system would train and educate clinicians on how to precisely analyze data within an electronic health record (EHR) system (Sutton et al., 2020). The information system would also offer staff, clinicians, scientists, patients, and other personnel the knowledge intelligently filtered promptly to improve healthcare.   A clinical decision support system would be preferred and thus funded to help the ASH organization meet its agenda and strategic goals. The system would train and educate clinicians on how to precisely analyze data within an electronic health record (EHR) system to give reminders and prompts to aid them in implementing evidence-based clinical policies or guidelines at the critical point of care (Sutton et al., 2020). The information system would also offer staff, clinicians, scientists, patients, and other personnel the knowledge, person-specific information, and skills intelligently filtered promptly to improve healthcare. 9 References Beeler, P. E., Bates, D. W., & Hug, B. L. (2014). Clinical decision support systems. Swiss medical weekly, 144, w14073. Hashi, E. K., Zaman, M. S. U., & Hasan, M. R. (2017, February). An expert clinical decision support system to predict disease using classification techniques. In 2017 International Conference on Electrical, Computer and Communication Engineering (ECCE) (pp. 396-400). IEEE. Neunert, C., Terrell, D. R., Arnold, D. M., Buchanan, G., Cines, D. B., Cooper, N., ... & Vesely, S. K. (2019). American Society of Hematology 2019 guidelines for immune thrombocytopenia. Blood advances, 3(23), 3829-3866. Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak, R. N., & Kroeker, K. I. (2020). An overview of clinical decision support systems: benefits, risks, and strategies for success. NPJ digital medicine, 3(1), 1-10.