The article "Recognizing the characteristics of quality documentation" the author postulates that it is challenging to evaluate care quality without completing and measuring care outcomes. It is, therefore, essential to put together outcome data and derive analysis reports to determine which care provider is providing the best care quality (Combs, 2016). Physicians ought to adhere to quality documentation and reporting by ensuring that the reports are legible, complete, precise, and reliable. Further, the author argues that consistency, timeliness, and clarity are significant characteristics of quality documentation. Since physicians are not trained in high-quality documentation, there are specialists, "Clinical documentation specialists" who are charged with the responsibility of supporting and enhancing quality clinical documentation (Combs, 2016). As such, some measures define quality, such as timeliness and effectiveness of care, surgical complications, and readmission.
In the article "Information Governance Principles for Healthcare", the author indicates that managing information is a valuable strategic asset for healthcare organizations ("American Health Information Management Association", 2014). As such, maintaining quality information works to improve the safety of patients and quality of care in addition to enhancing efficiency as well as effectiveness, reducing risk, and costs. Quality of information is founded on integrity, accountability, compliance, and transparency. Additionally, as the article postulates that the principles of disposition, retention, availability, and protection are integral in promoting quality of information ("American Health Information Management Association", 2014). Further, the accuracy, accessibility, consistency, and comprehensiveness of data enhance the data quality. Also, precision, currency, and relevance, as well as timeliness, are critical aspects of quality data.
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The article "Data Entry Clerk EMR Data Quality Study" indicates that electronic medical record data is integral in promoting quality of care and promotes research necessitating the need for quality of data. According to the author, data clerks can prove valuable in promoting the quality of EMR data while data managers answer to queries regarding EMR data (Greiver, Barnsley, Aliarzadeh, Krueger, Moineddin, Butt,... & Kaplan, 2011). The existing literature, according to the article, points out that data entry can prove to be difficult, especially when such data is being entered in the electronic medical records. Often, the challenges that come with transitioning the data to EMR are not managed effectively creating the need for having data entry clerks re-enter the data and promote the data quality.
References
American Health Information Management Association. (2014). Information Governance Principles for Healthcare (IGPHC).
Combs, T. (2016). Recognizing the Characteristics of Quality Documentation. Journal of AHIMA , 87 (5), 32-33.
Greiver, M., Barnsley, J., Aliarzadeh, B., Krueger, P., Moineddin, R., Butt, D., ... & Kaplan, D. (2011). Using a data entry clerk to improve data quality in primary care electronic medical records: a pilot study. Journal of Innovation in Health Informatics , 19 (4), 241-250.
