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MGSM986 Leadership And Innovation In Healthcare
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MGSM986 Leadership And Innovation In Healthcare
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Course Code: MGSM986
University: Macquarie University
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Country: Australia
Questions:
Health Care Information Systems are important in dispensing of information throughout the organization. You will develop a research paper on a health care technology that has become essential to the sharing of information via electronic communication mediums.
Explain each part of the key components.
Explain each part of contributing factors.
Answers:
Health information systems are increasingly becoming critical in the health care sector. Health care technology has evolved since the time of Medicare and Medicaid era in the 1960s where IT drivers were mainframes and storage. In the 2000s health care technology has immensely increased. There is sufficient technology for commercial and real time health decision support (Grandia, 2018). Over the years the most implemented systems in the health setting are the systems used for automatic data transactions. This has increased the availability of digitalized data. Reporting systems, which exist as components of transactions in the hospitals, have faced a dramatic implementation over the years. The increase in hospital technology system has been cultivated by the need to research, process, analyze and use the knowledge and information gained to effect policies, public health and decision making process and outcomes. An effective decision making in the health care setting requires an effective system to provide reliable data which is not biased on the basis of socioeconomic, age, race and gender characteristics (Phin, 2018). This report focuses on the components and the factors that have contributed to increase in health care technology.
Information systems, especially at the lower levels, should be sustainable and simple. This would prevent running costs and also easy for nurses and other stakeholders to operate. Health professional need timely feedback for the data they collect. They also need good and high quality health care data to promote and improve health and so is the feedback, should be of high quality too (Snyder and Paulson, 2002). The Electronic medical record system is an electronic health system used to keep individuals’ health information. This system has been of high importance in the health sector. It helps to maintain work flow and improve patient safety and the quality of health care delivery. The need for a more customized way to access patients’ information is among the factors that led to the EMR. Health professionals can now access health information about a client easily, have a computerized decision support when it comes to prescriptions, safe communication between the nurse and the patient and also patients can easily access their health records.
According to PHIN (2018), the health information exchange is used to electronically share vital patients’ health information across hospital systems. This has improved speed, safety, costa and quality of health care, though most hospitals have not appreciated the HIE. It is true to say that the HIE might not replace the nurse-patient communication but it improves the completeness and conciseness of the records (Shapiro, Mostashari, Hripcsak, Soulakis & Kuperman,. 2011). Electronic sharing of patients’ health information help health providers improve diagnosis, avoid medication errors and readmissions and also avoids duplication of tests (Vest and Gamm, 2010). According to the Health IT (2018), there are different forms of health exchange information which include query based, customer mediated and direct exchange.
According to Deshpande, Rajan, Sudeepthi and Nazir (2011), most medical technologies give physiological, biochemical and physical information about the patient which in most cases is not enough for treatment of a given disease. The patient-reported outcome systems are used to give feelings, opinions and thoughts of the patient. The PROs systems are much in application in cancer chemotherapy (Jensen, Snyder, Abernethy, Potosky and Roberts 2014). For the PRO instrument to be used, it should have a conceptual equivalence, be specific to what is being measured be based on conceptual framework and end point model. The PRO systems can be classified into generic, disease specific utility measures, region specific. Summary items and dimension specific, that is, according to measurement of the interested concept. The large amount of data collected by EMR is stored in data warehouses. The EDW (enterprise data warehouse) enables easy integration and analyzing of inpatient and outpatient data (Evans, Lloyd and Pierce, 2012). The EDW is important for health care analytics. The EDW has the following importance in the health care sector increased system performance, timely data access, enhanced health care intelligence and improved quality of health care delivery.
References
Deshpande, P. R., Rajan, S., Sudeepthi, B. L., & Abdul Nazir, C. P. (2011). Patient-reported outcomes: A new era in clinical research. Perspectives in Clinical Research, 2(4), 137–144. https://doi.org/10.4103/2229-3485.86879
Evans, R. S., Lloyd, J. F., & Pierce, L. A. (2012). Clinical Use of an Enterprise Data Warehouse. AMIA Annual Symposium Proceedings, 2012, 189–198.
Grandia, L. (2018). Healthcare Information Systems: A Look at the Past, Present, and Future. Retrieved from: https://www.healthcatalyst.com/insights/healthcare-information-systems-past-present-future
HealthIT. (2018). What is HIE? Retrieved from: https://www.healthit.gov/topic/health-it-and-health-information-exchange-basics/what-hie
Jensen, R. E, Snyder, C. F, Abernethy, A. P., Potosky, A. L. and Roberts A. C. (2014). Review of Electronic Patient-Reported Outcomes Systems Used in Cancer Clinical Care. Journal of Oncology Practice, Vol. 10, No. 4, pp. 215-22. Doi: 10.1200/JOP.2013.001067 Pacific Health Information Network (PHIN). (2018). Health information systems (HIS). Retrieved from: https://phinnetwork.org/resources/health-information-systems-his/
Snyder, K. D. and Paulson, P. (2002). Healthcare information systems: analysis of healthcare software. The NCBI, Vol. 80, No. 4, pp. 5-12. Doi: 10.1080/00185860209598004
Shapiro, J. S., Mostashari, F., Hripcsak, G., Soulakis, N., & Kuperman, G. (2011). Using Health Information Exchange to Improve Public Health. American Journal of Public Health, 101(4), 616–623. https://doi.org/10.2105/AJPH.2008.158980
Vest, J. R., & Gamm, L. D. (2010). Health information exchange: persistent challenges and new strategies. Journal of the American Medical Informatics Association?: JAMIA, 17(3), 288–294. https://doi.org/10.1136/jamia.2010.003673+
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