Interoperability means the ability of health information systems to work together within and across organizational boundaries in order to advance the effective delivery of healthcare for individuals and communities - this includes the need to exchange, interpret and use data cohesively. The exchange of information in healthcare, as with all other facets of modern life, is critical to our advancement. Interoperability addresses that need while simultaneously increasing the quality of care received, improving healthcare efficiency and even financial incentives.
For your third mini-project, you will have the opportunity to explore and work through a solution of your own, in an area of healthcare of your choice. Once you have chosen an area (ex. EHRs) you will explore and explain how interoperability could solve a critical issue in that area (ex. de-identifying data, exchange to FHIR). From there, you will architect a solution, potentially utilizing what has been done in or outside of the field, or something "new." You will pull this all together in the form of a tool, suite of tools or webapp. Details are listed below.
● Tool: Must include one of the technologies covered in this unit (ie. FHIR, SMART, OMNOPon FHIR). Reach out to a TA if you would like to utilize a tool not covered in this unit or course for this project.
● Data: We provide you with data resources in the course, but you are free to find your own or create your own. If you create your own you will need to provide the steps in how you created it (so that it can be recreated) and explain why you created your data the way that you did (should be inspired by clinical data).
● Architect: Showcase how your proposed solution will promote interoperability. This includes providing a details on your approaches and decisions, diagram(s) and technical requirements and constraints.
● Solution: Implement and test what you have proposed. Provide an analysis in terms of functionality, complexity, scaling, limitations, etc.
● Format: Tool, Suite of Tools, WebApp
● Documentation: Instructions on how to deploy/use your solution and a demo/tutorial.
Please note that the goal of this project is the deployed tool or solution. The documentation should be seen as less of an academic paper here but more of a descriptor on how to use and access your solution, with details on what it does and how it does it.
● Background and Significance
● Problem
● Proposed Solution or Idea (you must share the tools used, etc)
● Complexity or Effort (including details how your approach considers healthcare policy, privacy and security)
● Tutorial or Demonstration
● References
Build application based on above assignment. (It need to be separated file) Make more advanced applications to solve health care data issues in the current real world. (Covid-19 etc….)
● Background and Significance
● Problem
● Proposed Solution or Idea (you must share the tools used, etc)
● Complexity or Effort (including details how your approach considers healthcare policy, privacy and security)
● Tutorial or Demonstration
● References
Complete your assignment using JDF
then save your submission as a PDF. You should submit a single PDF for this assignment. If your assignment involves things (like videos, working prototypes, etc.) that cannot be provided in PDF, you should provide them separately (through OneDrive, Google Drive, Dropbox, etc.) and submit a PDF that links to or otherwise describes how to access that material. You must also github links (utilize GT account). You must utilize the APA format.
This is an individual assignment. All work you submit should be your own. Make sure to cite any sources you reference, and use quotes and in-line citations to mark any direct quotes. You are limited to 8 pages maximum (excluding references). This is a formal assignment, therefore your submission should reflect this
Data Source
Synpuf
Synpuf is a synthetic data set from the Center for Medicare and Medicaid Services (CMS), which features reasonably complete synhetic health records spanning 2008-2010. This is a very large and complex dataset, which they have split up into multiple parts in the link above. You are free to use whatever portion of the data is necessary for your project.
Synthea
Synthea is synthetic data generator that allows you to have control in building out records somewhat similar to Synpuf. The link provided here is for the course resource page, which will take you to the Synthea GitHub repo. Keep in mind that for Mini-project 2, Synthea generates records in FHIR by default. You can change this in the settings to output CSVs, though if you really want to incorporate FHIR into mini-project 2 you may. IF YOU USE SYNTHEA YOU MUST USE A SEED FOR THE SAKE OF REPRODUCTION.
WHO Covid 19 Data
This is a WHO Covid data set which powers their Dashboard. Please remember that if you use this set, you should not be simply recreating their dashboard. NY Times Covid 19 Data
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