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DQ 2: Discuss ways your organization uses technology to gather patient and health care information.

DQ 2: Discuss ways your organization uses technology to gather patient and health care information.

HLT-362V-O503 Topic 5 DQ 2

Discuss ways your organization uses technology to gather patient and health care information, and how this information and data are used to direct patient care and outcomes.

Organization use of Technology

My organization uses technology to gather patient and health care information by using an electronic record system. The United States Department of Defense (DoD) has transformed health care delivery by using information technology to automate patient data documentation, leading to improvements in patient safety (Charles, Harmon, & Jordan, 2005). The Composite Health Care System II (CHCS II) is the military’s electronic Computer-based Patient Record, which is an enterprise-wide medical and dental clinical information system that will generate, maintain, and provide secure 24-hour online access to a comprehensive, longitudinal, and legible health record (Harmon, Wah, & Inae, 2003).

How Technology is used

According to Harmon, Wah, & Inae (2003), CHCS II provides three fundamental capabilities: · A seamlessly integrated clinical graphical user interface (GUI) for documenting patient

care by health care professionals at the point of care and for displaying data that may have been derived from diverse external sources [labs, radiology, pathology, wellness alerts]. From the battlefield back to the large tertiary care hospitals and all locations in between, the interface to the military CPR will be the same.

  • An enterprise-wide, industry standards-based Clinical Data Repository (CDR) of DoD beneficiary’s life-long medical information. This is the core of the DoD CPR. A proper central database will allow the mining of data for wellness alerts, symptom surveillance, clinical research, and population health improvement.
  • Migration Architecture. The integrated clinical GUI will remain the same, but the underlying code base “behind the screens” will be exchanged for newer, more robust, and maintainable products.

Before the Soldier arrives at the units, we are notified by an email manifest of all Service Members (SM) who will come by medivac (aircraft). This information contains the SM demographics and reason for entry. Once the medivac team greets the SM, they are in-processed, and that’s when the SM record is opened. All medical and administrative units have access to this record and are responsible for notating treatment and diagnosis, doctors’ appointments, and the transition plan.


Charles, M. J., Harmon, B. J., & Jordan, P. S. (2005). Improving Patient Safety with the Military Electronic Health Record. In K. Henriksen (Eds.) et. al., Advances in Patient Safety: From Research to Implementation (Volume 3: Implementation Issues). Agency for Healthcare Research and Quality (US). Retrieved from: https://www.ncbi.nlm.nih.gov/books/NBK20562/#A3807

Harmon, B. J., Wah, R., & Inae, T. (2003). The Military Health System Computer-based Patient Record. AMIA … Annual Symposium proceedings. AMIA Symposium, 2003, 1068. Retrieved from https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1480121/

Torres, Elissa. (2018). Application of Analysis https://lc.gcumedia.com/hlt362v/applied- statistics-for-health-care/v1.1/#/chapter/5

HLT-362V-O503 Topic 5 DQ 2

HLT-362V-O503 Topic 5 DQ 2


Click here to ORDER an A++ paper from our Verified MASTERS and DOCTORATE WRITERS: DQ 2: Discuss ways your organization uses technology to gather patient and health care information.

The true magnitude of diagnostic errors is difficult to quantify. However, the National Academy of Medicine estimates that most people will experience at least one diagnostic error over the course of their life. While diagnostic errors may not always necessarily lead to a harm, they can result in a delayed- or inappropriate- treatment. HIT has the potential to help providers improve the diagnostic process and reduce diagnostic error by providing easier access to critical patient data, facilitating information exchange, offering complex analysis, and retrieving workflow and decision making information. Specific HIT approaches may include the use of CDS, diagnostic study interpretation, and trigger tools.

In 2019, PSNet included multiple resources that identified artificial intelligence (AI) systems as a rapidly emerging healthcare technology with the potential to improve diagnostics. Specific examples highlight the use of AI in pediatric diseases. AI-based systems could support physicians in the analysis of large amounts of data for diagnostic evaluations and provide clinical decision support when there is diagnostic uncertainty or complexity. Some deep learning AI diagnostic algorithms achieve similar diagnostic accuracy to physicians, although authors note more testing in clinical settings is needed.

Barcoding to Improve Safety in Transfusions


More than 20 million blood components are transfused annually in the U.S., with approximately 51,000 adverse reactions related to transfusions. Labeling issues are a major source of transfusion errors, causing patients to receive incorrect blood types. Barcoding can alleviate the risk of labeling errors in transfusions by reducing the potential for human error in the validation processes. One 2019 article demonstrated that barcoding, in conjunction with an electronic auditing system, was safer than a manual verification system for transfusions in the operating room.




Alotaibi YK, Federico F. The impact of health information technology on patient safety. Saudi Med J. 2017;38(12):1173-1180. doi: 10.15537/smj.2017.12.20631.


Wittich CM, Burkle CM, Lanier WL. Medication errors: an overview for clinicians. Mayo Clin Proc. 2014:89(8):1116-25. doi: 10.1016/j.mayocp.2014.05.007.

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