SXM2 ERD Reflection Template (2) (1)
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Dec 6, 2023
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Entity Relationship Diagram (ERD) Reflection
Amy M. Opfermann College of Health Professions, Western Governors University
C792 Task 2: Entity Relationship Diagram (ERD)
Beverly Ballard November 27, 2023
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Entity Relationship Diagram (ERD) Reflection
Evolution of Thought
I now have a better understanding of database management systems (DBS) and the process of data modeling thanks to this project. Having visual representations of the precise connections between the data makes it easier for me to mentally connect the dots and see how everything fits together. Because you can see where improvements need to be made, it also enhances workflow and job management. I discovered that data modeling enables effective information storage, retrieval, and reporting, giving users quick access to the information they require without overwhelming them
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with unnecessary information. You can accomplish this by obtaining reports tailored to your requirements, such as ER wait times or hospital stays for individuals with particular diagnoses. Data modeling makes it possible to extract just this information, even though these patients are associated with a lot more data, allowing the user to concentrate on the precise information they need to evaluate. The capacity of DBSs to display relationships between the data, which enables users to see where weak points or bottlenecks are and lays the groundwork for strategies to enhance them, is another thing I've learned about how helpful they are. For instance, the results of an employee survey asking for suggestions on how to streamline processes to reduce time and raise satisfaction levels could be used to generate a DBS. These responses can highlight the connections across departments, demonstrating how streamlining a lab workflow can also streamline an inpatient unit's workflow for nurses, hence boosting satisfaction across two units. The business and the employees gain from being able to use data modeling to visualize how these responses work and where changes may be made. Survey Interoperability
The capacity to exchange data, most frequently patient information, with other healthcare
systems, is known as interoperability, and it facilitates open communication between healthcare professionals and safe, efficient treatment (Healthcare Information and Management Systems Society, n.d.). Interoperability makes it possible for patient data recorded into an electronic health record (EHR) at a hospital to be read at the outpatient provider's office. This supports continuity of treatment since it allows data to be submitted consistently and continues to be available. The patient is no longer required to depend on relaying information between healthcare providers or remembering to bring discharge documents to their scheduled visits. Because interoperability allows healthcare practitioners to examine one another's orders, lab and
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diagnostic results, and other medical records, it increases safety and reduces costs associated with unnecessary or repetitive testing because it allows physicians to see outcomes from previously completed tests.
Regulatory Mechanism
Preserving patient safety and privacy is among the issues surrounding interoperability and EHRs.
A federal law known as the Health Insurance Portability and Accountability Act of 1996 (HIPAA) has safeguards in place to protect patient health information (PHI) and forbids the sharing of any identifiable health information with parties other than healthcare professionals who require it to provide patient care. To guarantee that their privacy is maintained, patients must
give their approval before their information is shared across providers (The Office of the National Coordinator for Health Information Technology, n.d.).
Clinical Decision Support
Tools for clinical decision support, or CDS, are used to promote patient safety by alerting
doctors to possible errors or adverse interactions. These tools could include duplicate orders, out-
of-range lab results, prescriptions that have been ordered with potentially harmful interactions, and order sets that haven't been applied but should be. This particular ERD project is about several school-age youngsters who are suffering from poorly treated asthmatic symptoms. Since there has been a noticeable increase in these kids, it would be advantageous to use a CDS tool for
this patient population.
When a patient does not have an asthma order set, one type of CDS alert that can be used is an alert. A series of standardized orders tailored to a particular illness or diagnosis that have been shown to be efficient, lessen mistakes, and speed up the physician order process is known
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as an order set (Elsevier, 2015). Medication, diagnostic testing, respiratory therapy consultations,
and nurse education may be part of this order set. When asthma is entered as a diagnosis, the patient providers will get this notice to remind them that the asthma order set needs to be followed. "Asthma has been entered as a diagnosis; the 'Asthma order set' needs to be implemented," the alert will say. The notice will appear as a notification box during diagnosis, which can be acknowledged by clicking the okay button. Since the clinician is still inputting orders, the alert will not be a hard stop at this time. However, it will become a hard stop when it resurfaces on the order entry page. Order sets have been demonstrated to be efficient, secure, and
to lower mistake rates, which is why the hard stop is required (Elsevier, 2015). Since no two patients are the same, order sets enable doctors to personalize the standardized order set by allowing them to deselect any options that don't apply to that particular patient.
Roles and Responsibilities of an Informatics Nurse Specialist
Although the field of nursing informatics encompasses a wide range of duties and jobs, they are all related to the use of technology to enhance patient safety and care. I learned more about the usage of data in this course, including how database systems can be designed to view data in multiple ways. This allows nurse informaticists to visualize data and create ERDs to enhance workflows, bottlenecks, user satisfaction, and potential clinical errors. A standardized order set can be developed by gathering survey data in order to better manage school-aged children's asthma symptoms and guarantee that their care is appropriate, safe, and economical.
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References
Elsevier. (2015, October). The Four Essential Steps To Effective Order Set Management And Their Implementation At University Of Kentucky Healthcare. https://www.elsevier.com/__data/assets/pdf_file/0003/150429/The_Four_Essential_Steps _to_Effective_Order_Management.pdf Healthcare Information and Management Systems Society (HIMSS). (n.d.). Interoperability in healthcare. h
ttps://www.himss.org/resources/interoperability-
h
ealthcare
The Office of the National Coordinator for Health Information Technology. (n.d.). Privacy, Security, and HIPAA. h
ttps://www.healthit.gov/topic/privacy-security-and-h
ipaa
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