Summarize what was learned from developing an annotated bibliography. Your Result:NON_PERFORMANCE Does not describe what was learned from developing the annotated bibliography. Faculty
LG revision assessment 2 4000
Criterion
Summarize what was learned from developing an annotated bibliography.
Your Result:NON_PERFORMANCE
Does not describe what was learned from developing the annotated bibliography.
Faculty Comments:Criteria Missing: Required to provide a detailed discussion on what was learned from developing an annotated bibliography. Also, a detailed discussion of what was learned from the peer reviewed articles, developing annotated bibliography, all while sharing examples from the literature. Something to consider: How did the annotated bibliography help guide your understanding of your healthcare topic? How will an annotated bibliography help you with future research needs?
7
Applying Library Research Skills
Student’s Name
Institution affiliation
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Instructor’s Name
Date
Interoperability and Data Exchange among Different Health Information Systems
Overview:
The selected health care problem is interoperability and data exchange challenges among different health information systems.. Healthcare personnel should worry about the problem since it affects patient care, workflow, and system efficacy. Interoperability difficulties must be addressed to improve patient outcomes, care coordination, and mistake reduction. As a doctor, I know data interchange across health information systems is crucial. For instance, some patients are sent to other departments of the hospital, and capturing and using their data is crucial. Therefore, certain data from one department may be missing, making it difficult to treat some patients without their medical data from other systems, which reduces efficiency.
Identifying Academic Peer-Reviewed Journal Articles
I searched for peer-reviewed literature using keywords such as "healthcare interoperability," "EHR data exchange," and "health information systems." The search focused on respectable journal publications for a careful evaluation. PubMed was useful for healthcare research. To ensure credibility, I picked peer-reviewed journal papers from the last five years. I picked resources authored by well-known healthcare experts. To ensure relevance, I checked that the chosen information sources featured accepted facts and opinions on patient safety and high-quality healthcare. I also ensured that every source had a clear function and supplied patient safety and high-quality treatment data.
Annotated Bibliography
de Mello, B. H., Rigo, S. J., da Costa, C. A., da Rosa Righi, R., Donida, B., Bez, M. R., & Schunke, L. C. (2022). Semantic interoperability in health records standards: a systematic literature review. Health and technology, 12(2), 255-272. https://link.springer.com/article/10.1007/s12553-022-00639-w
The purpose of this paper is to provide a thorough analysis of the literature on semantic interoperability in electronic health records (EHRs). In order to create an integrated healthcare ecosystem, it highlights the significance of semantic interoperability and examines the problems and potential solutions associated with information integration and exchange among health institutions.
The authors draw attention to the present issues that health organizations are facing with relation to proprietary EHR storage techniques and internal ecosystems. In order to achieve semantic interoperability, the research identifies selected scenarios, technologies, and tools by reviewing literature from 2010 to September 2020. This article's thorough analysis of semantic interoperability in EHRs makes it relevant. It emphasizes the need for interoperability to improve information flow across various healthcare sectors, which is in line with the larger issue of problems facing the healthcare industry. The primary strategies for resolving the issue of legacy and heterogeneous data interchange among healthcare organizations are presented in the study's conclusion. This highlights the importance of semantic interoperability in averting data silos, encouraging cross-organizational information sharing, and enhancing the general effectiveness and caliber of healthcare procedures.
Lehne, M., Sass, J., Essenwanger, A., Schepers, J., & Thun, S. (2019). Why digital medicine depends on interoperability. NPJ digital medicine, 2(1), 79. https://www.nature.com/articles/s41746-019-0158-1
The purpose of the paper is to highlight how important interoperability is to the advancement of digital medicine. In discussing the difficulties caused by the existing state of medical data's lack of interoperability, it emphasizes how crucial a linked data infrastructure is to maximizing the promise of emerging digital health technologies like big data, artificial intelligence, and mobile apps.
The authors emphasize that although digital medicine has great potential, advancement is impeded by the lack of interoperability in medical data. They examine four major domains where interoperability is essential: research, medical communication, artificial intelligence and big data, and international collaboration. This article is featured because it provides a thorough analysis of the importance of interoperability in digital medicine. It contributes to the larger discussion of the difficulties facing healthcare due to data sharing and technology development, highlighting the need of interoperable health IT systems. The article's conclusion is that solving interoperability issues is necessary to realize digital medicine's full potential. It highlights the need of interoperability for developments in artificial intelligence, big data, medical communication, research, and international cooperation, all of which are prerequisites for breakthroughs in digital health.
Osterman, T. J., Terry, M., & Miller, R. S. (2020). Improving cancer data interoperability: the promise of the Minimal Common Oncology Data Elements (mCODE) initiative. JCO Clinical Cancer Informatics, 4, 993-1001. https://ascopubs.org/doi/abs/10.1200/CCI.20.00059
The purpose of this article is to review the Minimal Common Oncology Data Elements (mCODE) effort, a consensus data standard created to improve oncology data interoperability. Enhancing the transfer of organized patient data is the main goal, with an emphasis on difficult components like staging, biomarkers, and adverse event reporting. The creation of mCODE, which is divided into six domains and 23 profiles with 90 data items each, is described in depth by the authors. Fast Healthcare Interoperability Resources (FHIR) are being used by the mCODE effort to provide a common framework for exchanging patient data related to cancer. The article describes the steps involved in creating the mCODE version 1.0 FHIR IG, including conception, public feedback, HL7 balloting, and official publishing.
This article's focus on resolving interoperability issues with cancer data makes it relevant. The importance of the mCODE program in building a standardized infrastructure fits in with the larger subject of technology solutions and healthcare data sharing. Through better patient data exchange, the mCODE initiative is poised to greatly advance cancer treatment and research. The mCODE version 1.0 FHIR IG and the successful HL7 balloting have given the effort momentum and shown its potential influence on cancer research and care delivery.
Sheikh, A., Anderson, M., Albala, S., Casadei, B., Franklin, B. D., Richards, M., … & Mossialos, E. (2021). Health information technology and digital innovation for national learning health and care systems. The Lancet Digital Health, 3(6), e383-e396. https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00005-4/fulltext
The article explores the role of health information technology (HIT) in fostering national learning health and care systems, focusing on the UK's response to the COVID-19 pandemic. It highlights the need of tackling top goals for improving HIT and reassessing digital health policies in the wake of Brexit. The writers argue for more interoperability, usability, and data analytic capability while discussing the benefits and drawbacks of HIT. They stress the significance of striking a balance between top-down and bottom-up strategies, funding health data science research, and resolving ethical issues with the use of AI and HIT.
This article's thorough examination of HIT's crucial role in changing healthcare systems makes it relevant. In keeping with the larger subject of healthcare issues and solutions, it offers insights into the UK's reaction to a public health crisis by highlighting the need of reevaluating tactics and fostering interoperability. The article's conclusion is that improving healthcare requires tackling HIT issues. It makes the case that in order to manage the moral dilemmas and unforeseen repercussions connected to the deployment of HIT, public-private partnerships, regulatory frameworks, and the ethical use of AI are necessary in the National Health Service.
References
de Mello, B. H., Rigo, S. J., da Costa, C. A., da Rosa Righi, R., Donida, B., Bez, M. R., & Schunke, L. C. (2022). Semantic interoperability in health records standards: a systematic literature review. Health and technology, 12(2), 255-272. https://link.springer.com/article/10.1007/s12553-022-00639-w
Lehne, M., Sass, J., Essenwanger, A., Schepers, J., & Thun, S. (2019). Why digital medicine depends on interoperability. NPJ digital medicine, 2(1), 79. https://www.nature.com/articles/s41746-019-0158-1
Osterman, T. J., Terry, M., & Miller, R. S. (2020). Improving cancer data interoperability: the promise of the Minimal Common Oncology Data Elements (mCODE) initiative. JCO Clinical Cancer Informatics, 4, 993-1001. https://ascopubs.org/doi/abs/10.1200/CCI.20.00059
Sheikh, A., Anderson, M., Albala, S., Casadei, B., Franklin, B. D., Richards, M., … & Mossialos, E. (2021). Health information technology and digital innovation for national learning health and care systems. The Lancet Digital Health, 3(6), e383-e396. https://www.thelancet.com/journals/landig/article/PIIS2589-7500(21)00005-4/fulltext
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