PLEASE CONTINUE THE PART 2 OF THIS ASSIGNMENT , I UPLOADED FOR YOU THE PART 1 AS A GUIDE
PART 2 NEEDS:
• Financial Proposal analysis (4 points)
• Alternative plan of actions (4 points)
• Proposed project plan to include: (8 points)
o Project activities
o Timeline
o Budget
o Evaluation Plan
• Executive Summary at end of project (4 points)
APA 7TH EDITION
NP PLAGIO MORE THAN 10 % OR NOT ACCEPTED, NEED PLAGIARISM REPORT AS WELL’
CHECK GRAMMAR NEED TO BE GOOD
DUE DATE FEBRUARY 9, 2023
ADD REFERENCES
PART 2 MUST BE SEPARATE DOCUMENT FROM PART 1
3 PAGES
1
2
Developing a Platform for Data Sharing and Collaboration in Healthcare
Name: Yusleiby Castillo
Institution: Florida National University
Course: Health Care Informatics
Professor: Jacqueline Alonso
Date: January 17,2023
Executive Summary
Healthcare informatics is a rapidly growing field that is increasingly being used to improve the delivery of healthcare services. EHRs, for example, allow doctors and other healthcare professionals to access and share patient information electronically, improving care coordination and reducing errors. Telemedicine is also becoming more widely used, allowing patients to consult with healthcare professionals remotely, which can improve access to care, especially in rural or underserved areas. Clinical decision support systems can also help healthcare professionals make more informed treatment decisions by giving them real-time access to the latest medical research and guidelines. In this paper, I will focus on developing a platform for data sharing and collaboration is one potential project in healthcare informatics.
Description of Project
I have chosen to develop a platform for data sharing and collaboration as one potential project in healthcare informatics. This would involve creating a secure, web-based, or mobile platform that allows healthcare providers to share patient data, collaborate on care plans, and access shared resources such as lab results and medical images. This type of platform could be designed to integrate with existing electronic health records (EHRs) and other systems used by healthcare providers, so that patient data can be easily shared and accessed by all members of a patient’s care team. The platform must also be designed with security and privacy in mind to ensure that patient data is protected from unauthorized access or breaches (Dagliati et al., 2021).
Rationale Topic chosen
The rationale for developing a platform for data sharing and collaboration as a project in healthcare informatics is due to the significant benefits it would have for the healthcare system. Firstly, in healthcare, coordination of care is crucial. By allowing healthcare providers to share patient data and collaborate on care plans, this platform would improve care coordination and reduce the risk of errors and omissions. Secondly, access to accurate and complete patient information is crucial for making informed treatment decisions. By providing healthcare providers with easy access to essential patient data, such as lab results and medical images, this platform would help to improve the accuracy and timeliness of diagnoses and treatment decisions. Thirdly, identifying and addressing potential issues with a patient’s care plan is crucial for ensuring the best possible outcomes. By providing healthcare providers with real-time visibility into a patient’s care plan, this platform would make it easier to identify and address potential issues, such as medication interactions or gaps in care (Hulsen, 2020).
Lastly, the healthcare system generates a massive amount of data, which can be used to improve the quality of care for patients. By providing a platform for data sharing and collaboration, healthcare providers could access and analyze large amounts of data and use this data to identify patterns, trends, and areas for improvement.
Research supported by evidence-based recent literature;
A significant body of recent literature supports the idea that developing a platform for data sharing and collaboration is a valuable project in healthcare informatics. Many studies have shown that such platforms can improve care coordination, improve patient care quality, and reduce costs.
Samal et al. (2021) found that a web-based platform for data sharing and collaboration improved care coordination for patients with chronic conditions, resulting in better health outcomes and fewer hospitalizations. In addition, the authors found that a platform for data sharing and collaboration improved the accuracy of diagnoses, reduced the time to treatment, and improved patient outcomes.
Hulsen (2020) found that a platform for data sharing and collaboration improved communication and collaboration among healthcare providers, resulting in better patient outcomes and increased efficiency in the healthcare system. Research also shows that data sharing and collaboration platforms can support the process of patient engagement, which is a critical aspect of patient-centered care, by providing patients with access to their health information, and facilitating communication with healthcare providers (Hulsen, 2020).
Project Clinical Goals & Objectives
The clinical goals and objectives for a project to develop a platform for data sharing and collaboration in health care informatics might include:
· Improved care coordination: The platform would allow healthcare providers to share patient data and collaborate on care plans, resulting in better care coordination and fewer errors and omissions.
· Improved quality of patient care: By providing healthcare providers with easy access to essential patient data, such as lab results and medical images, the platform would help to improve the accuracy and timeliness of diagnoses and treatment decisions and ultimately improve the quality of patient care (Hulsen, 2020).
· Reduced costs: By making it easier for healthcare providers to identify and address potential issues with a patient’s care plan, the platform would help reduce hospital readmissions and other unnecessary costs.
· Increased patient engagement: By providing patients with access to their health information and facilitating communication with healthcare providers, the platform would support patient engagement and empower patients to take a more active role in their care.
· Improved patient outcomes: By improving the coordination of care, the quality of patient care, reducing costs, and increasing patient engagement, the platform would ultimately lead to improved patient outcomes.
· Improved data analysis: By providing a platform for data sharing and collaboration, healthcare providers could access and analyze large amounts of data and use this data to identify patterns, trends, and areas for improvement, resulting in a more efficient and effective healthcare system.
· Compliance with regulations: The platform must be designed to comply with all relevant regulations, such as HIPAA, to protect patient’s personal health information.
Market/Financial Project Analysis
A market/financial analysis for a project to develop a platform for data sharing and collaboration in healthcare informatics would involve evaluating the potential costs and benefits of the project as well as the market size and demand for such a platform. The costs associated with the project would include the development and implementation of the platform, as well as ongoing maintenance and support costs. These costs would need to be carefully considered and budgeted to ensure that the project is financially feasible.
In terms of benefits, the platform would be expected to generate significant savings for the healthcare system by improving care coordination, reducing errors and omissions, and reducing the number of hospital readmissions (Cuggia, & Combes, 2019).
Plan for Evaluation
The evaluation plan should include both quantitative and qualitative measures. Quantitative measures can include data on the number of users, the number of patient records, the number of care plans shared, the number of interactions among the providers, and the number of readmissions. The qualitative measures can include user satisfaction surveys, interviews with healthcare providers, and focus groups with patients. These measures can provide valuable feedback on the usability, effectiveness, and overall satisfaction with the platform. The evaluation plan should also include a process for monitoring the platform’s performance over time to identify trends and usage patterns and ensure that the platform continues to meet the needs of healthcare providers and patients (Soni & Singh, 2021).
Plan for Alternative Assumptions & Strategies.
One potential assumption is that healthcare providers will be willing and able to adopt the platform and use it as intended. Another potential assumption is that the platform will be able to integrate with existing electronic health records (EHRs) and other systems used by healthcare providers. A third assumption is that the platform will be able to meet all relevant regulations, such as HIPAA, ensuring the protection of patients’ personal health information. Finally, a fourth assumption is that the platform can handle the volume and complexity of data expected to be generated (Cuggia & Combes, 2019).
A plan for alternative assumptions and strategies would involve identifying potential obstacles and contingencies that may arise during the project and developing strategies to mitigate or overcome them. This will help ensure the project can proceed smoothly and achieve its intended goals and objectives.
How is this project applicable to the present Healthcare system
Data sharing and collaboration is one potential project in healthcare informatics that is highly applicable to the present healthcare system regarding healthcare access, quality, and cost. The following are two MSN Essentials of how this project addresses these issues:
1. Healthcare Access: One of the main issues facing the healthcare system today is a lack of access to healthcare for specific populations, particularly those living in rural or underserved areas. A platform for data sharing and collaboration would enable healthcare providers to share patient data and collaborate on care plans, regardless of location. This would make it easier for healthcare providers to access critical patient data, such as lab results and medical images, which could help to improve the accuracy and timeliness of diagnoses and treatment decisions. Additionally, a telehealth platform integrated with the data-sharing platform could enable remote patient monitoring and care, improving access to care for patients living in remote areas (Soni, & Singh, 2021).
2. Quality and cost: Another major issue facing the healthcare system today is the high cost of care and the lack of consistent quality of care. A platform for data sharing and collaboration would help improve care coordination, reduce errors and omissions, and reduce the number of hospital readmissions. In addition, by providing a platform for data sharing and collaboration, healthcare providers could access and analyze large amounts of data and use this data to identify patterns, trends, and areas.
References
Cuggia, M., & Combes, S. (2019). The French Health Data Hub and the German Medical Informatics Initiatives: two national projects to promote data sharing in healthcare.
Yearbook of medical informatics,
28(01), 195-202.
Dagliati, A., Malovini, A., Tibollo, V., & Bellazzi, R. (2021). An overview of health informatics and EHR to support clinical research in the COVID-19 pandemic.
Briefings in Bioinformatics,
22(2), 812-822.
Hulsen, T. (2020). Sharing is caring—data sharing initiatives in healthcare.
International journal of environmental research and public health,
17(9), 3046.
Samal, L., Fu, H. N., Camara, D. S., Wang, J., Bierman, A. S., & Dorr, D. A. (2021). Health information technology to improve care for people with multiple chronic conditions.
Health services research,
pp. 56, 1006–1036.
Soni, M., & Singh, D. K. (2021). Blockchain-based security & privacy for biomedical and healthcare information exchange systems.
Materials Today: Proceedings.
Order an Essay Now & Get These Features For Free:
Turnitin Report
Formatting
Title Page
Citation
Outline
