Fluent Essays

Project Documentation Refer to the business information system proposed in Week 1 power point presentation. In this presentation, you would include sample data-entry screens for the proposed system using the data-entry guidelines provided in the text, process for creating user documentation and guidelines how to ensure that the proposed business information meets the requirements. The format of your PowerPoint presentation should be:  Slide 1: Title of PowerPoint, Course, Instructor, Date Submitted, Student Name Slides 2-4: Refer to the business information system proposed in Week 1 power point presentation. Design any two sample data-entry screens for the proposed system using the data-entry guidelines provided in the text. Support your design with arguments for each of the design choices you made. See Figures 8-2, 8-3 and 8-4 for examples to use in the design. Slides 5-7: For the proposed business information system, you have the task of organizing the user documentation, and you would probably not be able to create all of the content by yourself. Describe resources you can partner with to organize and document the user documentation. Slides 8-9: Briefly describe the measures you would take to ensure that the business solution meets the stakeholders’ requirements, who would perform and who would be involved in review of your proposed system.  Please include some specific examples.  Slide 10: Reference List Project Documentation PowerPoint Must have a minimum of eight slides inclusive of speaker notes on each slide (not including title and references page slide) and formatted according to APA style as outlined in the Writing 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.