Description
GRADING RUBRIC AND FORMAT MUST BE FOLLOWED
Write an article (3-5 pages) for submission to the Journal of AHIMA on EHR standards. Incorporate information on data standard integration strategies and the importance of data modeling and data dictionaries.
EHR Go
Complete these specific EHR Go activities before beginning Assessment 3. You will be incorporating information from these activities into your assessment:
- Many different types of EHR standards exist, including those related to technology, documentation, and content, as well as privacy and security. This activity focuses on documentation standards in an EHR.
- EHR Go: EHR Documentation Standards.
- This activity is an introduction to privacy, security, and confidentiality in the EHR.
- EHR Go: Introduction to Privacy and Security.
Case Studies
For Assessment 3, select a different case study than you selected for Assessments 1 and 2. This time, choose a case study that allows you to focus on standards for EHR data and technology along with the organizations that set these standards. Analyze your selected case study and then incorporate appropriate elements into your assessment. Remember: Choosing a case study that allows you to meet the assessment's scoring guide criteria is your responsibility.
- HealthIT.gov. (n.d.). Case studies. Retrieved from https://www.healthit.gov/case-studies
- At this link, you will find EHR implementation stories from providers around the country. In addition, case studies from specific categories, such as meaningful use and health information exchange, are provided. On the left hand side of the screen, be sure to click the + sign to open the list of case studies.
- Michigan State Medical Society. (n.d.). EMR in physician practices: A summary of 14 case studies to guide Michigan physicians [PDF]. Retrieved from https://www.msms.org/Portals/0/Documents/MSMS/Reso...
- These studies fill a gap in research by providing physicians with examples of adoption by practices of various sizes and settings.
Introduction (1 to 2 paragraphs)
- How will you capture your reader's attention so that they read your entire article to the end?
- Consider a compelling scenario or problem, such as the one that appears in the introduction to this assessment. Other possibilities include startling statistics, a thought-provoking question, et cetera. Use your imagination.
- Be sure to tailor the title of your introduction for your specific article.
EHR Standards and Standards Development Organizations (1/2 page)
- What are the some of the standards governing EHR systems?
- Which standards development organizations (SDOs) set these standards?
- What is one specific vocabulary standard addressed in the case study you selected?
- What issues, if any, arose related to implementing the vocabulary standard you selected?
- What improvements would you recommend to resolve any issues that arose?
- What is one specific classification standard addressed in the case study you selected?
- What issues, if any, arose related to implementing the classification standard you selected?
- What improvements would you recommend to resolve any issues that arose?
Types of Data vs. Data Formats vs. Data Reporting Requirements (1/2 page)
- How would you define types of data, data formats, and data requirements?
- How are these similar to each other?
- How are they different?
- Note: Be sure to use examples from your case study, your experience in the workplace or in this course, or from your research to illustrate these similarities and differences.
Purpose of Data Modeling and Data Dictionaries (1 to 1 1/2 pages)
- What is the purpose of data modeling and data dictionaries?
- How did the case study you selected address: data architecture, databases, data warehouses, data modeling, data dictionaries, and metadata?
- Why are data usability and quality important?
- What are the consequences of data that can't be used and poor quality data?
- Include examples from your case study, your experience in the workplace or in this course, and from your independent research.
- Why are consistency and design important?
- What are the ramifications of poor consistency and poor design?
- As before use examples to illustrate your points.
Data Standard Integration Strategies Among Applications (1/2 to 1 pages)
- What data standard integration strategies were employed in your case study, in your experience in this course or in the workplace, or in your independent research?
- Which strategies were most effective? Why were they effective?
- Which strategies were not as effective? Why weren't they effective?
- What are the two or three most effective data standard integration strategies you would recommend based on your experience and research?
Conclusion (1 paragraph)
- What are the two or three most important takeaways that you want readers to have as a result of reading your article?
- What do health care organizations need to be thinking about in the future in terms of EHR data standards?
Resources: Standards
- Amatayakul, M. K. (2017). Health IT and EHRs: Principles and practice (6th ed.). Chicago, IL: AHIMA Press. Available from the bookstore.
- Chapter 10, "Data Infrastructure," pages 281–324.
- Chapter 11, "Information Technology," pages 325–360.
- Capella University Health Care Administration Undergraduate Library Research Guide.
- Please consult this guide as needed to conduct independent research on course topics. This resource will direct you to scholarly, peer-reviewed, and authoritative resources.
- Elliott, L., Weil, J., Dykstra, E., Calinski, R., Schurman, J., & Conn, L. (2018). Standardizing documentation: A place for everything. Medsurg Nursing, 27(1), 32–37.
- Sujansky, W., & Kunz, D. (2015). A standard-based model for the sharing of patient-generated health information with electronic health records. Personal and Ubiquitous Computing, 19(1), 9–25.
- The Office of the National Coordinator for Health Information Technology. (2017, May 15). Standard nursing terminologies: A landscape analysis [PDF]. Retrieved from https://www.healthit.gov/sites/default/files/snt_f...
Resources: Privacy and Security
- Amatayakul, M. K. (2017). Health IT and EHRs: Principles and practice (6th ed.). Chicago, IL: AHIMA Press. Available from the bookstore.
- Chapter 12, "Health IT Privacy and Security," pages 361–394.
- Lyles, C. R., Fruchterman, J., Youdelman, M., & Schillinger, D. (2017). Legal, practical, and ethical considerations for making online patient portals accessible for all. American Journal of Public Health, 107(10), 1608–1611.
- Amatayakul, M. K. (2017). Health IT and EHRs: Principles and practice (6th ed.). Chicago, IL: AHIMA Press. Available from the bookstore.
- Amatayakul, M. K. (2017). Health IT and EHRs: Principles and practice (6th ed.). Chicago, IL: AHIMA Press. Available from the bookstore.
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Explanation & Answer
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Running head: EHR Standards
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EHR Standards
Name:
Course:
Instructor:
Date:
EHR STANDARDS
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EHR Standards
It has been shown that eighty-five percent of physicians who have adopted the use of EHR
systems, have reported being averagely (47%) or very (38%) satisfied with the system. About
three-quarters of those who have adopted the system have reported that it has led to the
improvement in the type of care that is delivered to patients. Three-quarters of the physicians
who use the EHR system report of complying and meeting the requirements of the federal
criteria of ‘meaningful use’ ("Privacy and Security Standards," 2017).
In the article, MedAllies and the Direct project support secure exchange of clinical information
in the EHR system, their aim is to provide adequate infrastructure to enable implementation of
EHR while conforming to the required standards. They developed consensus standards which
would support a secure means of clinical information and public health data exchange
(“MedAllies and the Direct Project Support Secure Exchange of Clinical Information in EHR
Systems”, 2017).
The standards which guide documentation of patient care are usually based on regulation set by
the federal, state and accreditation bodies. This includes The Joint Commission. In July 2010, the
US Department of Health and Human Services issued the first set of standards meant to ensure
the EHR systems are reliable and secure. For an EHR to be certified, it should be possible for a
user to record, modify, and obtain the medication histories and lists of the patient. There are
content standards that specify the structure of clinical documents for the purpose of exchange.
Transport standards show the format of messages that are exchanged between computer systems,
the user interface, architecture of the documents and patient data linkage (Elliot et al., 2018).
EHR STANDARDS
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Terminology standards are able to provide a structured vocabulary, codes and classification
systems, to prevent ambiguity and enable representation of health concepts when information is
being transferred from sender to receiver. Privacy and security standards protect and determine
who is authorized to access and retrieve the patient information. They protect the integrity,
confidentiality, and availability of the information ("Privacy and Security Standards," 2017). In
the case study, XDR or S/MIME encrypted IHE-XDM package was used in secure
communication to MedAllies HISP. This system conformed to the privacy and security
standards.
Data requirements are the directives that define the content or structure which makes up highquality data instances and values. They may be based on laws, standards or directives. Data types
usually fall into electronic health records, administrative data, patient registries, health surveys,
claims, and clinical trials data. Data formats are varied and include X12, HL7, CCR, CCD, C32,
CCDA and custom delimited (Amatayakul, 2017). In the case study use of EHR has enabled
efficiency in data collection, where it is entered in the EHR as discrete data. Structural data can
easily be extracted for clinical quality measurements and quality reports.
Data modeling involves the representation of the structures of data in a table for an
organization’s database. It expresses their business requirements. It is used as a guide by
technical and functional analysts to design and implement a database. A data dictionary involves
the collection of descriptions of data objects in a model that is beneficial to programmers and
people that want to refer to them. It contains the database’ metadata such as data ownership and
its relationship to other objects (Amatayakul, 2017).
EHR STANDARDS
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The case study handled the data structure and data dictionary via the EHR that handled the data
via an electronic data interface. The data was automatically entered into the EHR as discrete
data. Structured data could be easily obtained and analyzed from the EHR.
Improvement in the usability of data is essential and has become a key component in improving
data quality and user acceptance. Data quality is essential so as to provide information that is
timely so as to effectively manage services and accountability. It enables giving priority and
ensuring the best use of available resources. Poor quality or inaccurate data in healthcare may
compromise the type of care that is given to the patent. It could have an effect on the safety of
the patients and affect the efficiency of healthcare delivery. In the case study, it was shown that
change in medications without proper communications and good quality information being
recorded resulted in confusion and anxiousness of the patients (Amatayakul, 2017).
Consistency in design is important as it will enable users to quickly learn how to use your design.
This enables easy communication within the interface. Consistency also helps to save on time
and money as it removes confusion within the users. Poor design and inconsistencies will lose
users time who are trying to learn and adapt to the new designs. It will end up creating confusion
and limit the process of communication (Amatayakul, 2017). In the case study, MedAllies sought
to provide direct functionality within the EHR systems whereby it was already familiar to the
physicians. This enabled easy adoption to the system.
In the case of MedAllies, to foster integration with other healthcare facilities, it was important to
align communication systems. The full direct infrastructure of communication for the pilot was
implemented. This incorporated direct functionality into the systems. There was also the
utilization of direct messaging. The challenges faced included the additional functionality which
included filtering and integration which were lacking in some of the EHRs.
EHR STANDARDS
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In order to adequately integrate data, certain standards have to be fulfilled. It is important to
determine how the content and format of the data will be stored in the database. The means of
access or manipulation of the data should also be determined. A protocol for requesting
information from the database has to be established. Reporting and transfer of data should also
be determined, such that the format in which the data will be exported from a database to an
application is determined ("How to Integrate Data”, 2017).
In conclusion, EHR incorporation into healthcare helps to improve safety and quality of care of
the patients. In order to accomplish these, the standards that are set should be complied with to
achieve maximum benefits. This will enable easy access to the information, reduce the level of
confusion and enable secure transfer of patient information within the different linked healthcare
facilities.
EHR STANDARDS
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References
Amatayakul, M. K. (2017). Health IT and EHRs: Principles and practice (6th ed.). Chicago, IL:
AHIMA Press.
Elliott, L., Weil, J., Dykstra, E., Calinski, R., Schurman, J., & Conn, L. (2018). Standardizing
documentation: A place for everything. Medsurg Nursing, 27(1), 32–37.
How to Integrate Data - Data Integration Primer - Pavements - Federal Highway
Administration. (2017, June 27). Retrieved from
https://www.fhwa.dot.gov/asset/dataintegration/if10019/dip05.cfm
MedAllies and the Direct Project Support Secure Exchange of Clinical Information in EHR
Systems | HealthIT.gov. (2017). Retrieved from https://www.healthit.gov/casestudy/medallies-and-direct-project-support-secure-exchange-clinical-information-ehrsystems
Privacy and Security Standards. (2017, August 22). Retrieved from
https://www.himss.org/library/interoperability-standards/security-standards
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