2 Parts-Worksheet and 1 page narrative with references

Grading Rubric Must be Followed

Instructions

For this assessment, you are a senior data analyst with Vila Health. A friend who teaches health information management courses at a local university has asked to you present information on standards development organizations (SDOs) to a health information management student group.

As part of your presentation, you will give students two handouts.

Handout Number One

The first handout will include a table with information on at least three standards development organizations (SDOs). Please use the attached document to complete all of the following in your table:

• Describe each SDO’s purpose.
• List the type of standards developed by the SDO.
• Describe the data to which the standard applies.
• Explain why these data standards are important in interpreting health care data.
• Describe how the standards can be used to standardize data for quality-improvement initiatives.
• Provide for each SDO an example of using data standardization in a quality improvement initiative.
• List the type of data points and classification that may apply to the SDO, based on the description of the data to which the standard applies. For example: The National Council for Prescription and Drug Programs would likely set standards for the data point of medications. You may choose from these data points:
  • Identification number.
  • Name.
  • Address.
  • Telephone number.
  • Date of birth.
  • Gender.
  • Height.
  • Weight.
  • Admission date.
  • Diagnoses.
  • Medications.
  • Medication dosage.
  • Medication frequency.

Handout Number Two

You second handout will consist of a one-page narrative that summarizes your findings about standards development organizations.

RESOURCES:

Visit the following websites to prepare for this assessment on data standards organizations. Once you have browsed the listed sites, choose at least three organizations to describe in detail in your assessment.

• American Society for Testing Materials (ASTM). (n.d.). Retrieved from https://www.astm.org/
• Digital Imaging and Communications in Medicine (DICOM). (n.d.). Retrieved from https://www.dicomstandard.org/
• Health Level Seven International. (n.d.). Retrieved from http://www.hl7.org/
• International Electrical and Electronics Engineers (IEEE). (n.d.). Retrieved from https://www.ieee.org/
• International Organization for Standardization (ISO). (n.d.). Retrieved from https://www.iso.org/home.html
• National Council for Prescription and Drug Programs (NCPDP). (n.d.). Retrieved from https://www.ncpdp.org/
• National Electrical Manufacturers Association (NEMA).(n.d.). Retrieved from https://www.nema.org/pages/default.aspx
  • Visit the Standards page.
  • Visit the Communications page; select Publications.
• X12. (n.d.). Retrieved from http://www.x12.org/

• Al-Hablani, B. (2017). The use of automated SNOMED CT clinical coding in clinical decision support systems for preventive care. Perspectives in Health Information Management, 1–8.
• Alakrawi, Z. M. (2016). Clinical terminology and clinical classification systems: A critique using AHIMA’s data quality management model. Perspectives in Health Information Management, 1–19.
• 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.
• Hurst, D., & Mickan, S. (2017). Describing knowledge encounters in healthcare: A mixed studies systematic review and development of a classification. Implementation Science, 12, 1–15.
• Lucyk, K., Lu, M., Sajobi, T., & Quan, H. (2016). Disease groupings: What are they, how are they used, and how do they compare internationally? Perspectives in Health Information Management, 1–12.

RESOURCES

• Alkraiji, A. I., Jackson, T., & Murray, I. (2016). Factors impacting the adoption decision of health data standards in tertiary healthcare organisations in Saudi Arabia. Journal of Enterprise Information Management, 29(5), 650–676.
• Fatehi, M., Safdari, R., Ghazisaeidi, M., Jebraeily, M., & Habibi-koolaee, M. (2015). Data standards in tele-radiology. Acta Informatica Medica, 23(3), 165–168.
• Johnson, K. M., Kirby, A., Kadlec, L., Noreen, N. I., Taylor, L. B., Updegrove, J. L, & Warner, D. (2013). Data standards, data quality, and interoperability (updated). Journal of AHIMA, 84(11), 64–69.
• McCormick, K., Sensmeier, J., Dykes, P., Grace, E., Matney, S., Schwartz, K., & Weston, M. (2015). Exemplars for advancing standardized terminology in nursing to achieve sharable, comparable quality data based upon evidence. On-Line Journal of Nursing Informatics, 19(2).
• Shaw, C. D. (2015). How can healthcare standards be standardised? BMJ Quality & Safety, 24(10), 615.