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Home>Homework Answsers>Nursing homework helpDiscussionDATA SCIENCE APPLICATIONS AND PROCESSESa year ago21.03.202420Report issuefiles (7)WK.5.TRANSFORMINGNURSING.docxWK.5.DATASCIENCEAPPLICATIONSANDPROCESSES.docxparikh-et-al-2019-using-big-data-and-predictive-analytics-to-determine-patient-risk-in-oncology.pdfNursing_Needs_Big_Data_and_Big.pdfspachos-et-al-2020-combining-big-data-search-analytics-and-the-fda-adverse-event-reporting-system-database-to-detect-a.pdfTheapplicationofbigdataandthedevelopmentofnursingscience.pdfALightweightOntologyforInternet.pdfWK.5.TRANSFORMINGNURSING.docxTRANSFORMING NURSINGMODULE 3: AT A GLANCEDATA SCIENCE AND DIGITAL HEALTH: ADVANCES IN TECHNOLOGY AND NURSING INFORMATICSINTRODUCTIONTechnology shapes all aspects of our lives, from mobile devices holding as much power and usage ability as a desktop computer, to cars that have the ability to alert a driver if they swerve out of a lane or are too close to another driver. Technological advancements drive society forward and provide opportunities for safety and growth. The healthcare field is no exception, from the use of wearable medical devices to offering telehealth appointments during a pandemic and beyond, technology has shaped how healthcare is delivered, studied, and monitored.In this module, you will explore data science and digital health. Think about what areas of your practice might be affected by these advancements in technology, and how these technologies might shape the study of nursing informatics. What experience have you had with these advancements, and how might these advancements affect the patients or care in your area of practice?WHAT’S HAPPENING THIS MODULE?Module 3: Data Science and Digital health: Advances in Technology and Nursing Informatics is a 2-week module—Weeks 5 and 6 of the course—in which you will explore emerging technologies through advancements in data collection and digital health. You will also submit the first part of your nursing informatics project, in which you will demonstrate your understanding of nursing informatics through project creation.DATA SCIENCE: APPLICATIONS FOR PRACTICEINTRODUCTIONData drives innovations in healthcare. Whether through exploring patient care practices, introducing new care techniques, or providing new lifesaving medicine, data drives the ability to offer these solutions in practice. Data is not compiled, applied, or analyzed using only one approach—therefore, it is important to explore the various strategies used and  consider implications, barriers, and impact of data science on nursing practice.This week, you will analyze the use of data science applications and processes for healthcare organizations and nursing practice. You will also consider and examine approaches for implementation of data science.This week also serves as the week in which you will submit your proposed nursing informatics project. Remember, while using project management skills and techniques, the goal of this project is to demonstrate your understanding of nursing informatics through the implementation, or potential implementation, of your proposed nursing informatics project.LEARNING OBJECTIVESStudents will:· Analyze data science applications and processes for healthcare organizations and nursing practice· Evaluate approaches for implementation of data science applications and processes for nursing practice· Analyze use of predictive analytics for clinical practiceWK.5.DATASCIENCEAPPLICATIONSANDPROCESSES.docxThis file is too large to display.View in new windowparikh-et-al-2019-using-big-data-and-predictive-analytics-to-determine-patient-risk-in-oncology.pdfThis file is too large to display.View in new windowNursing_Needs_Big_Data_and_Big.pdfThis file is too large to display.View in new windowspachos-et-al-2020-combining-big-data-search-analytics-and-the-fda-adverse-event-reporting-system-database-to-detect-a.pdfThis file is too large to display.View in new windowTheapplicationofbigdataandthedevelopmentofnursingscience.pdfThis file is too large to display.View in new windowALightweightOntologyforInternet.pdfThis file is too large to display.View in new windowALightweightOntologyforInternet.pdfThis file is too large to display.View in new windowWK.5.TRANSFORMINGNURSING.docxTRANSFORMING NURSINGMODULE 3: AT A GLANCEDATA SCIENCE AND DIGITAL HEALTH: ADVANCES IN TECHNOLOGY AND NURSING INFORMATICSINTRODUCTIONTechnology shapes all aspects of our lives, from mobile devices holding as much power and usage ability as a desktop computer, to cars that have the ability to alert a driver if they swerve out of a lane or are too close to another driver. Technological advancements drive society forward and provide opportunities for safety and growth. The healthcare field is no exception, from the use of wearable medical devices to offering telehealth appointments during a pandemic and beyond, technology has shaped how healthcare is delivered, studied, and monitored.In this module, you will explore data science and digital health. Think about what areas of your practice might be affected by these advancements in technology, and how these technologies might shape the study of nursing informatics. What experience have you had with these advancements, and how might these advancements affect the patients or care in your area of practice?WHAT’S HAPPENING THIS MODULE?Module 3: Data Science and Digital health: Advances in Technology and Nursing Informatics is a 2-week module—Weeks 5 and 6 of the course—in which you will explore emerging technologies through advancements in data collection and digital health. You will also submit the first part of your nursing informatics project, in which you will demonstrate your understanding of nursing informatics through project creation.DATA SCIENCE: APPLICATIONS FOR PRACTICEINTRODUCTIONData drives innovations in healthcare. Whether through exploring patient care practices, introducing new care techniques, or providing new lifesaving medicine, data drives the ability to offer these solutions in practice. Data is not compiled, applied, or analyzed using only one approach—therefore, it is important to explore the various strategies used and  consider implications, barriers, and impact of data science on nursing practice.This week, you will analyze the use of data science applications and processes for healthcare organizations and nursing practice. You will also consider and examine approaches for implementation of data science.This week also serves as the week in which you will submit your proposed nursing informatics project. Remember, while using project management skills and techniques, the goal of this project is to demonstrate your understanding of nursing informatics through the implementation, or potential implementation, of your proposed nursing informatics project.LEARNING OBJECTIVESStudents will:· Analyze data science applications and processes for healthcare organizations and nursing practice· Evaluate approaches for implementation of data science applications and processes for nursing practice· Analyze use of predictive analytics for clinical practiceWK.5.DATASCIENCEAPPLICATIONSANDPROCESSES.docxThis file is too large to display.View in new windowparikh-et-al-2019-using-big-data-and-predictive-analytics-to-determine-patient-risk-in-oncology.pdfThis file is too large to display.View in new windowNursing_Needs_Big_Data_and_Big.pdfThis file is too large to display.View in new windowspachos-et-al-2020-combining-big-data-search-analytics-and-the-fda-adverse-event-reporting-system-database-to-detect-a.pdfThis file is too large to display.View in new windowTheapplicationofbigdataandthedevelopmentofnursingscience.pdfThis file is too large to display.View in new windowALightweightOntologyforInternet.pdfThis file is too large to display.View in new windowWK.5.TRANSFORMINGNURSING.docxTRANSFORMING NURSINGMODULE 3: AT A GLANCEDATA SCIENCE AND DIGITAL HEALTH: ADVANCES IN TECHNOLOGY AND NURSING INFORMATICSINTRODUCTIONTechnology shapes all aspects of our lives, from mobile devices holding as much power and usage ability as a desktop computer, to cars that have the ability to alert a driver if they swerve out of a lane or are too close to another driver. Technological advancements drive society forward and provide opportunities for safety and growth. The healthcare field is no exception, from the use of wearable medical devices to offering telehealth appointments during a pandemic and beyond, technology has shaped how healthcare is delivered, studied, and monitored.In this module, you will explore data science and digital health. Think about what areas of your practice might be affected by these advancements in technology, and how these technologies might shape the study of nursing informatics. What experience have you had with these advancements, and how might these advancements affect the patients or care in your area of practice?WHAT’S HAPPENING THIS MODULE?Module 3: Data Science and Digital health: Advances in Technology and Nursing Informatics is a 2-week module—Weeks 5 and 6 of the course—in which you will explore emerging technologies through advancements in data collection and digital health. You will also submit the first part of your nursing informatics project, in which you will demonstrate your understanding of nursing informatics through project creation.DATA SCIENCE: APPLICATIONS FOR PRACTICEINTRODUCTIONData drives innovations in healthcare. Whether through exploring patient care practices, introducing new care techniques, or providing new lifesaving medicine, data drives the ability to offer these solutions in practice. Data is not compiled, applied, or analyzed using only one approach—therefore, it is important to explore the various strategies used and  consider implications, barriers, and impact of data science on nursing practice.This week, you will analyze the use of data science applications and processes for healthcare organizations and nursing practice. You will also consider and examine approaches for implementation of data science.This week also serves as the week in which you will submit your proposed nursing informatics project. Remember, while using project management skills and techniques, the goal of this project is to demonstrate your understanding of nursing informatics through the implementation, or potential implementation, of your proposed nursing informatics project.LEARNING OBJECTIVESStudents will:· Analyze data science applications and processes for healthcare organizations and nursing practice· Evaluate approaches for implementation of data science applications and processes for nursing practice· Analyze use of predictive analytics for clinical practiceWK.5.DATASCIENCEAPPLICATIONSANDPROCESSES.docxThis file is too large to display.View in new windowparikh-et-al-2019-using-big-data-and-predictive-analytics-to-determine-patient-risk-in-oncology.pdfThis file is too large to display.View in new windowNursing_Needs_Big_Data_and_Big.pdfThis file is too large to display.View in new windowspachos-et-al-2020-combining-big-data-search-analytics-and-the-fda-adverse-event-reporting-system-database-to-detect-a.pdfThis file is too large to display.View in new windowTheapplicationofbigdataandthedevelopmentofnursingscience.pdfThis file is too large to display.View in new windowALightweightOntologyforInternet.pdfThis file is too large to display.View in new window1234567Bids(68)Miss DeannaDr. Ellen RMEmily ClareDr. Sarah BlakeMISS HILLARY A+abdul_rehman_Prof Double RDoctor.NamiraYoung NyanyaSTELLAR GEEK A+ProWritingGuruJahky BProf. TOPGRADESheryl HoganDr. Adeline ZoeDr M. MichelleAshley EllieTutor Cyrus KenDr. Sophie MilesWIZARD_KIMShow All Bidsother Questions(10)2 discussion questionsApplication of Time Value of Money ConceptsPHIL 101 ExamDiscussion #4Excellent GradesEssayAdvanced Statisticssci labhow human technology and social development fostered the rapid movement of people throughout the globe during the latter phases of…NR 361 Week 4 Discussions & Assignment Information Systems in Healthcare

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