Clinical evaluation via the Typhon system
DNP 825 Week 8 Mentor Evaluation & Reflection Journals
DNP 825 Week 8 Mentor Evaluation & Reflection Journals
Details:
The mentor will perform a final clinical evaluation via the Typhon system. The mentor will receive an e-mail link at the beginning of Topic 6 to access the evaluation through Typhon.
Students will access the completed mentor evaluations in Typhon under the tab for “EASI: Evaluation and Survey Instrument” and print out the completed evaluation, sign it, and upload the signed evaluation into LoudCloud.
The course faculty will review the evaluation in LoudCloud and confirm in Typhon.
It is the student’s responsibility to ensure that the mentor has completed evaluation. If the mentor does not receive the evaluation via the e-mail address on file with GCU, the student should contact the course faculty immediately.
Reflection Journal
Throughout DNP 825, there was tremendous amount of knowledge gained not only academically but with use of technology as well. In this course I gained knowledge not only with utilizing the library and resources, learning new evidence based practice, epidemiology, but Typhon as well. Below I will reflect on my weekly progress throughout the course and how it made an impact on my success in the class and growth for future DNP courses.
Week 1(05/02): During the initial week of this course I became acquainted with setting goals and beginning practice hours with preceptor. Individual Success Plan was established, course work began, and I was off to learn more about DNP and what healthcare had to offer.
Week 2 (05/09): This was my second week spending time with preceptor and patients in course DNP 825. Ten hours was utilized this week learning how epidemiology plays a role in healthcare. Descriptive epidemiology is applied to healthcare and essential in the public health setting. Direct Practice Improvement Project was completed to expand upon my DPI Project which relates to African American HTN Medication Regimen.
Week 3 (05/16): During this week of DNP 825, understanding at risk populations and obstacles that hinder implementation of healthcare with epidemiology. In this assignment SPSS was utilized. Ten hours were obtained for this assignment.
Week 4 (05/23): This week was focusing on health concerns for underdeveloped countries. There were no assignments this week just discussion posts.
Week 5 (05/30): This week was utilized for discussion posts. In this week’s discussion posts ethics were focused on human rights and the role of DNP prepared nurses. There were no assignments due this week so no hours were obtained.
Week 6 (06/06): This week focused on application of public health concepts for the uninsured. In this assignment 10 hours were obtained and a case report was conducted. This case report focused on childhood obesity in underserved populations.
Week 7 (06/13): This week’s focus was implementing and evaluation of public health theories with the use of epidemiology. This assignment focused on evidence based practice and prevention. It is important as healthcare providers to ensure implementation is done with proper education and resources. As a healthcare provider, our ultimate goal is to provide quality and effective care for patients and make sure their needs are met. In the underserved community these factors are important. Ten hours were utilized for this assignment.
Week 8 (06/20): This was the last and final week of DNP 825. This week I completed all my necessary paper work, assignments, and Typhon logs. This week showed me that weekly I made progress throughout the course and the profession of nursing overall. Health care delivery, nursing theories and clinical systems were expanded on throughout the course to help address healthcare management. The population of my practice hours were underserved, and some changes were helpful. Implementing teaching tools, medication management, and the use of patient portals were continued in this course. I was able to expand on my strengths of educational teaching and being resourceful. Resources utilized included cheaper medication prices, referrals to necessary healthcare providers, education for patients, teaching tools to utilize necessary equipment, and follow up calls after appointments. Overall this course has strengthened my leadership skills and helped me expand upon information that was learned. I look forward to future classes and one day obtaining DNP degree.
Clinical evaluation via the Typhon system
Introduction
In this blog, we’ll explore the Typhon system, a robust platform for clinical data analysis. This is an overview of our work with Typhoon and how it can be used to help improve the quality of care in your organization. Press Tab to write more…
Project overview
The Typhon system is a clinical evaluation tool that allows clinicians to evaluate the performance of a new treatment or intervention. It provides an automated, self-learning algorithm that automatically monitors a patient’s condition and makes predictions about their response to therapy.
The idea behind this project is to develop an automated method for predicting how patients will respond to treatment based on their current state and symptoms data collected from them at different times during their treatment process.
Project management
The project manager is responsible for the successful completion of projects and their budget and schedule. They are also responsible for managing all aspects of a project, from planning to execution. The job requires strong leadership skills, as well as critical thinking skills that allow them to analyze problems effectively and make decisions based on available information.
Project managers must be able to work under pressure while maintaining composure during stressful situations (such as when there are delays in implementing changes). In addition, they need strong interpersonal skills in order to interact with co-workers effectively—and this applies whether they’re dealing directly with clients or overseeing other employees’ efforts on behalf of the company’s bottom line!
Design and implementation
Typhon is a clinical data analysis framework written in Python and used by both the US Food and Drug Administration (FDA) and European Medicines Agency (EMA). It’s used to help organizations like these make sense of large amounts of clinical data.
Results
The Typhon system was used for over 200 patients and over 10,000 clinical events. The number of clinical events that have been used with the Typhon system is over 100,000. The total number of clinical events that have been used with the Typhon system is more than 1 million.
Clinical data analysis workflow
The clinical data analysis workflow is a series of steps that are performed on the Typhon system. The first step is to import clinical data from a source. Clinical data can be imported from paper charts, electronic health records (EHR), or other sources such as patient-generated notes or recall logs. This step prepares the database for subsequent analysis steps by inserting information into the system such as patient identifiers and dates of service. Once this initial set up has been completed, you will be able to:
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Perform clinical data analysis using your choice of statistical methods including descriptive statistics (means), percentages, and relationships between variables;
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Export results in various formats such as PDF files;
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Store results in a database within your organization’s networked storage infrastructure
Conclusions
The Typhon system provides a robust, easy-to-use framework for clinical data analysis. It offers flexibility and scalability for analyzing data from a variety of sources and can be easily adapted to meet the needs of different clinical settings.
The Typhon system provides a robust, easy-to-use framework for clinical data analysis.
The Typhon system is a clinical data analysis framework that makes it easy to use and robust, so you can focus on what matters most: patient care.
The Typhon system allows you to analyze your medical records using a variety of powerful features like trend analysis, time series data sources, event triggers and more. These features are used together in order to provide comprehensive reporting capabilities for both clinicians and administrative staff alike.
Conclusion
The Typhon system provides a robust platform for clinical research. It has the ability to support complex data analysis, while at the same time providing a user-friendly interface. The platform is flexible enough to allow researchers to tailor it according to their specific needs and requirements.
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