Assessment 2 Instructions: Data Standardization

• Examine three standards development organizations’ (SDOs) websites and prepare a three-page tabular handout summarizing each organization’s purpose, standards, data type involved, and other details. Write a separate one-page handout highlighting key lessons learned about SDOs.
  

  Introduction

  Data must be collected, measured, analyzed, and reported to make it useful. It must be defined and classified (structured). Often, data points will be established. The need to establish data points is particularly common when collecting data and retrieving it from electronic health systems. Standards development organizations (SDOs) develop guidelines to help standardize the use of these health care data points. In this assessment, you will demonstrate your knowledge of data standards used in health care and your proficiency in using data classification standards to classify data.

  Demonstration of Proficiency

  By successfully completing this assessment, you will demonstrate your proficiency in the course competencies through the following assessment scoring guide criteria:

  • Competency 2: Explain data resources used in health information management.
    • Describe standards development organizations’ purpose, standards, and the data to which their standards apply.
    • Summarize key findings about standards development organizations.
  • Competency 4: Apply statistical strategies to analyze health care data.
    • Explain why data standards are important in interpreting health care data.
    • Describe how data standardization strategies are used for quality improvement initiatives.
    • Apply data standards to data points.
  • Competency 5: Communicate in a professional manner to support health care data analytics.
    • Create clear, well-organized, professional documents that are generally free of errors in grammar, punctuation, and spelling.
    • Follow APA style and formatting guidelines for references and citations.

  Preparation

  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/

  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 SDO Template [DOCX] 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.

  Additional Requirements

  • Format: MS Word document with table and separate summary report.
  • Font: Times New Roman, 12 point.
  • References: Follow APA style and formatting guidelines for references and citations.
  • Writing: Create a clear, well-organized, professional document that is generally free of errors in grammar, punctuation, and spelling.
  • Resources: Data Classification
    
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    • 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: Data Standards
      
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      • 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.