EHR and Clinical Decision Support in Nursing Practice
This paper examines the role of health information technologies — specifically electronic health records (EHRs) and clinical decision support (CDS) systems — in modern nursing practice. It outlines why nurses must be included in the health IT selection process and evaluates the practical benefits and limitations of EHR and CDS tools currently in use. Benefits discussed include streamlined documentation, real-time data access, and sepsis alert protocols, while drawbacks include documentation burden, alert fatigue, and physician-centric design. The paper concludes that substantial optimization, nurse-focused design, and ongoing training are necessary to maximize these technologies' value at the point of care.
- Introduction: Purpose and scope of the paper
- Nurse Involvement in Health IT Selection: Why nurses must participate in IT decisions
- Electronic Health Records: Benefits and Limitations: EHR pros, cons, and workflow impact
- Clinical Decision Support Tools: Capabilities and Challenges: CDS benefits, sepsis alerts, and alert fatigue
- Conclusion: Synthesis of findings and future optimization needs
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What makes this paper effective
- Balances theoretical definitions (e.g., the ONC definition of EHR) with practical, real-world nursing experience, grounding abstract concepts in clinical context.
- Uses peer-reviewed sources strategically — including a quantitative sepsis alert study — to substantiate both the benefits and drawbacks of CDS tools rather than relying on opinion alone.
- Maintains a consistent nursing advocacy lens throughout, framing every technology discussion around its impact on nursing workflows and patient care quality.
Key academic technique demonstrated
The paper demonstrates effective use of the "pros and cons" analytical framework as a structured evaluative approach. Rather than simply listing advantages, it pairs each benefit with a corresponding limitation — for example, noting that EHR interoperability improvements reduced manual entry while simultaneously highlighting that specialty nurses still spend excessive time in these systems. This balanced critique signals critical thinking and prevents the paper from reading as either promotional or dismissive.
Structure breakdown
The paper follows a clear review-and-discussion format: an introduction states the paper's purpose, a first body section argues for nurse involvement in IT selection, a second evaluates EHRs, and a third addresses CDS tools. The conclusion synthesizes findings and gestures toward ideal future system design. Each section builds logically on the last, moving from process (selection) to product (evaluation) to synthesis (conclusion).
Introduction
Today, health information technologies serve a critical role in promoting optimal clinical outcomes and advancing healthcare in a rapidly changing world (van Velzen et al., 2023). These technologies are instrumental in facilitating seamless transdisciplinary communication among healthcare providers, streamlining patient data management, and fostering data-driven decision-making. This paper provides a brief description of the process used for selecting an information system solution and explains why it is important for nurses to be part of that process. It also evaluates the types of health information technology currently used in one clinical organization, discusses the respective pros and cons of those systems, and summarizes the key findings in the conclusion.
Nurse Involvement in Health IT Selection
Although the process used by many organizations to select health information technologies is coordinated by information resources management services, it is essential for nurses to be actively involved in selecting these systems for multiple reasons. Nurses play a central role in coordinating patient care across specialties and communicating both with patients and within the care team. As frontline providers, nurses have valuable insights into current workflow needs and challenges that new systems might exacerbate or help alleviate. They understand intimately how clinical and administrative processes interact. Therefore, nurses should have a seat at the table early on when evaluating potential health IT investments and new technologies.
As the healthcare professionals who will actually be interacting daily with programs such as electronic patient records, e-prescription systems, and point-of-care platforms, nurses can assess the true intuitiveness and user-friendliness of these technologies (van Velzen et al., 2023). Their experience identifying existing inefficiencies and potential technology gaps makes them essential contributors to discussions about system design and implementation issues — including legacy system migrations, security compliance, and mobile capabilities — issues that have assumed new importance as patient autonomy and privacy have become central concerns.
In addition, incorporating nursing knowledge, concerns, and priorities during the selection process promotes staff buy-in and trust in the systems ultimately selected for use. Soliciting feedback from nurse end-users also ensures that solutions under review match their real-world priorities and positively impact healthcare delivery and patient relationships. In essence, ensuring that nurses have a voice in healthcare IT decision-making leverages their valuable insights to select technologies best positioned to complement and improve nursing practice and patient care.
Electronic Health Records: Benefits and Limitations
At present, many organizations use integrated electronic health records (EHR) software along with supplemental clinical decision support (CDS) technologies, among others. According to the Office of the National Coordinator for Health Information Technology, "An electronic health record (EHR) is a digital version of a patient's paper chart. EHRs are real-time, patient-centered records that make information available instantly and securely to authorized users" (Electronic health records, 2023, para. 2). Of all current healthcare technologies in use across the country, EHRs are among the most ubiquitous.
These technologies have generated meaningful improvements in patient care and clinical outcomes, but they are also characterized by a number of constraints on nursing workflows. Key EHR benefits include streamlined medication administration charting and vital sign documentation, which reduce paperwork and offer real-time data accessibility. On the other hand, rigid documentation templates and fragmented data views between specialty applications undermine some of these efficiency gains (Susanto et al., 2023). As Khan et al. (2022) note, "The amount of time spent on the EHR is often cited as a contributing factor to burnout and work-related stress in nurses. Increased electronic health record use also reduces the time nurses have for direct contact with patients and families" (p. 44).
The labor-intensity of early EHR systems compelled vendors to upgrade their platforms in order to reduce the time required for efficient use. Khan et al. (2022) emphasize that "significant improvements in EHR interoperability have decreased much of the manual data entry required by health care providers since the establishment of electronic documentation systems in 1992" (p. 45). Nevertheless, many nurses — especially those working in specialty units — still spend an inordinate percentage of their time navigating EHR systems (Khan et al., 2022).
Conclusion
The research demonstrates that by leveraging health information technologies, the healthcare industry can adapt more effectively to the dynamic demands of the modern world, ultimately promoting optimal clinical outcomes and ensuring a higher standard of patient well-being. While current EHR and CDS tools represent promising advances, they still struggle to integrate smooth, holistic nursing processes. Ideal systems would emphasize interoperability, nurse-focused design, and role-based customization. The healthcare system's governance partnerships and IT feedback mechanisms provide a valuable framework for realizing these improvements in the foreseeable future.
In sum, while electronic health records, clinical decision support systems, and other emerging innovations in healthcare information technology promise improved patient outcomes through enhanced data accessibility and evidence-based care protocols, substantial optimization remains necessary to maximize the usability of these technologies for nurses at the point of care.
References
Electronic health records. (2023). Office of the National Coordinator for Health Information Technology. Retrieved from https://www.healthit.gov/faq/what-electronic-health-record-ehr
Harmon, C. S., Adams, S. A., Davis, J. E., Gephart, S. M., & Donevant, S. B. (2023). Unintended consequences of the electronic health record and cognitive load in emergency department nurses. Applied Nursing Research, 73, 151724.
Jimenez-Zambrano, A., Ritger, C., Rebull, M., Wiens, M. O., Kabajaasi, O., Jaramillo-Bustamante, J. C., Argent, A. C., Kissoon, N., Schlapbach, L. J., Sorce, L. R., Watson, R. S., Dorsey Holliman, B., Sanchez-Pinto, L. N., & Bennett, T. D. (2023). Clinical decision support tools for pediatric sepsis in resource-poor settings: An international qualitative study. BMJ Open, 13(10), e074458.
Khan, A. R., Rosenthal, C. D., Ternes, K., Sing, R. F., & Sachdev, G. (2022). Time spent by intensive care unit nurses on the electronic health record. Critical Care Nurse, 42(5), 44–50.
Stephen, R. J., Lucey, K., Carroll, M. S., Hoge, J., Maciorowski, K., Jones, R. C., O'Connell, M., Schwab, C., Rojas, J., & Sanchez Pinto, L. N. (2023). Sepsis prediction in hospitalized children: Clinical decision support design and deployment. Hospital Pediatrics, 13(9), 751–759.
Susanto, A. P., Lyell, D., Widyantoro, B., Berkovsky, S., & Magrabi, F. (2023). Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: A scoping review. Journal of the American Medical Informatics Association, 30(12), 2050–2063.
van Velzen, M., de Graaf-Waar, H. I., Ubert, T., van der Willigen, R. F., Muilwijk, L., Schmitt, M. A., Scheper, M. C., & van Meeteren, N. L. U. (2023). 21st century (clinical) decision support in nursing and allied healthcare: Developing a learning health system — a reasoned design of a theoretical framework. BMC Medical Informatics & Decision Making, 23(1), 1–11.
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