The patterns of reports regarding identified client behavior can notably influence the coordination and management of Marta Rodriguez’s care. Marta’s medication compliance and physical therapy attendance record, together with her symptom worsening rate, will be of immense help to a qualified healthcare team to address all her needs comprehensively. Applying this method enables Marta’s health to be modified frequently to suit her recovery process, thus improving her health. In addition, data reporting can discover trends or a possible problem that may not be recognizable, like customers or patients who fail to attend appointments more often or when they have bad effects from taking medicine, thus allowing the team to prevent such issues (Derecho et al., 2024).

Enhancing Clinical Efficiency

Patient care is significantly improved when data concerning the behavioral patterns of the clients are applied in the clinical setting (Ehsani et al., 2021). For example, analyzing data on appointment no-shows or delays will be useful for scheduling and usage of resources. More so, the details of the recovery period of the patients, as well as the treatment results, can help formulate the best approach to treatment and other clinical procedures (Holmgren et al., 2023). Drawing from the observations, healthcare organizations can cut time spent waiting, increase patient flow, and consequently boost the efficiency of clinical processes (Kwon & Lee, 2024).

Fostering Interprofessional Innovation

Reporting data brings in the sense of interprofessional relationship by encouraging the development of the solution and idea (Park & Park, 2023). This is especially the case when different healthcare specialists get close and result-oriented information about the self-organization of patients. For example, telehealth utilization information provides a basis for improving the organization of remote care procedures. This is one of the ways healthcare is delivered smartly for the benefit of patients and to make bottom-up changes in practices. Assessing data quality is critical in ensuring it will give out efficient information (Tsai et al., 2020). Decisions on data assessment depend on the source’s reliability, the data collection’s homogeneity, and the connection between collected data and the clinical questions of interest (Lahijanian & Alvarado, 2021). The data collected should be reliable, relevant, and rich to support the right decisions in healthcare facilities.

Using Client Records to Improve Health Outcomes

Data obtained from clients ‘paper charts is hugely valuable in improving health status as it contains details of a patient’s treatment history and medication reactions. Such information proves valuable for decision-making by caregivers and to give distinctive treatment (Chen et al., 2023). With successful client amalgamation, various healthcare professionals can analyze data, spot the likelihood of future health complications, and develop unique solutions suited to individual needs (Jung et al., 2021). For example, in Marta’s case, all records related to the surgeries, antibiotics, and Marta’s progress in recovery are important to define a safe discharge plan. Ultimately, the combination of data gathered from within the client records provides a well-rounded understanding of Marta’s health condition, enhancing the process of developing her ongoing treatments. Documentation and management of client records are a vital step in improving the population’s health and maintaining their safety, which, in turn, contributes to the Patient-Centered Care approach (Kwon & Lee, 2024).

Positive Influence on Health Outcomes

Clients’ records consist of history, clinical diagnosis, treatments given, medications used, and results of the particular patient (Derecho et al., 2024). This information can reveal the trends of situations and probable causes, which will help implement tactics for early treatment and prevention. In Marta’s case, her surgeries, her treatments, and especially her recovery records are very important in coming up with a safe plan of discharge. Using multiple data improves patient care by creating a comprehensive view of their health, increasing treatment accuracy and patient safety since they are at the center of the treatment process (Lewis et al., 2023).

Coordination of Findings through HIT

When implemented by different teams, Health Information Technology or electronic HIT expedites the sharing of findings by other interdisciplinary team members (Chen et al., 2023). Everyone can view and update an EHR, which will contain all the information concerning the patient in real time. This means different team members are well aware of what other members are doing in relation to a particular patient, and everybody has an overview of a particular patient’s condition. The HIT is applied in Marta’s case when the care team members discuss Marta’s progress in the rehabilitation process to make interpersonal and well-coordinated decisions. For instance, a pharmacist may check through prescriptions and a nurse’s note about a patient’s allergy to avoid administering fatal doses of medication to the patient (Lahijanian & Alvarado, 2021). It also elevates care quality, facilitates the efficient delivery of health, and enhances the resulting impact on the members of multiple teams.

NURS FPX 6612 Assessment 3 Quality Improvement Proposal Conclusion 

It is crucial to refer to and utilize Health Information Technology (HIT) and records on the client to create an appropriate Discharge Care Plan (Park & Park, 2023). Automating physical and emotional health status and using data reporting that involves the client’s behavior helps improve the services’ coordination, clinical practice, and interdisciplinary relationships (Marafino et al., 2021). These technological tools help provide detailed knowledge of the patient’s condition and planning of the discharge process to enhance the patient’s recovery and avoid adverse outcomes. Integrating various elements of HIT bridges the gaps in the continuum of care, leading to improved care (Tsai et al., 2020).

 Quality Improvement Proposal References

Borycki, E. M., & Kushniruk, A. W. (2023). Health technology, quality and safety in a learning health system. Healthcare Management Forum, 36(2), 79–85. https://doi.org/10.1177/08404704221139383 Chen, Z., Liang, N., Zhang, H., Li, H., Yang, Y., Zong, X., Chen, Y., Wang, Y., & Shi, N. (2023). Harnessing the power of clinical decision support systems: Challenges and opportunities. Open Heart, 10(2), e002432. https://doi.org/10.1136/openhrt-2023-002432