405 HIT Integration Interoperability Instructor: Guilherme Del Fiol ,MD,Ph.D.
and Standards
Course Description:
This course provides the details of health care technology standards and interoperability. Topics covered by the course include the importance of standards; information architecture; principles and examples of standard terminologies (e.g., ICD, LOINC, SNOMED-CT, CPT); Health Level Seven (HL7) standards (e.g., HL7 version 2 messaging standards, CCD Standard, standards for clinical decision support); and health information exchange, the value proposition of standards; health information models; the IHE Initiative; The course also covers the role of non-medical standards in medical informatics (HTTP, XML, etc.) as well as multi-institutional issues and telemedicine, e-commerce, and Health Insurance Portability and Accountability Act standards compliance. *
Syllabus:
405_syllabus.pdf | |
File Size: | 328 kb |
File Type: |
Reflections:
The course covered various aspects of HIT integration, interoperability and standards. We explored both technical and non-technical barriers to interoperability within health information systems. One of the major challenges is health care data comes in many different formats including images, sound waves, structured coded data, as well as, unstructured narrative text such as clinical notes and reports. Standardizing terminology is critical since it allows data retrial for analysis, evaluation of quality measures, financial planning, public health initiatives, and research. The course introduced standard languages such as LOINC, RxNorm, CVX, SNOMED, ICD. I think that Natural Language Processing (NLP) will be the key to translating narrative text into data which will allow providers to extract and manage data.
The group project was an excellent tool to explore current topics. My group chose to provide an analysis, and make recommendations for, The Mayo Clinics Next Generation HIE. As part of the stimulus program Mayo is leading the SHARPn project in a collaborative effort with 16 institutions in order to develop tools and resources that influence secondary use of data. We chose to focus on three areas of the project: semantic and syntactic data normalization, NLP, and phenotyping.
I worked on this project with colleagues who had IT backgrounds, and sometimes they were over my head with their knowledge. That being said, the project helped me to see how the technical aspects came together for the purpose of providing the medical professional better access to useful data. Overall, I would say the course was excellent and the objectives of the course were achieved via the readings assignments and project.
The group project was an excellent tool to explore current topics. My group chose to provide an analysis, and make recommendations for, The Mayo Clinics Next Generation HIE. As part of the stimulus program Mayo is leading the SHARPn project in a collaborative effort with 16 institutions in order to develop tools and resources that influence secondary use of data. We chose to focus on three areas of the project: semantic and syntactic data normalization, NLP, and phenotyping.
I worked on this project with colleagues who had IT backgrounds, and sometimes they were over my head with their knowledge. That being said, the project helped me to see how the technical aspects came together for the purpose of providing the medical professional better access to useful data. Overall, I would say the course was excellent and the objectives of the course were achieved via the readings assignments and project.
Artifacts:
hie_exchange.pdf | |
File Size: | 512 kb |
File Type: |