Use of Clinical Systems to Improve Outcomes and Efficiencies - Essay Sample

Introduction

In a healthcare setup, success is measured using several ways. One of the primary ways is by determining the patient outcomes of that specific medical Centre. This can only be defined fully and more precisely as the ability to fulfill the care goals of the pages, not only from the medical health providers present but also through evaluation of the patient perspective. The whole process is vital as it helps healthcare to evaluate its strengths and weaknesses appropriately and even predict its future Strengths are motivations in any workplace (Stamps , 2017). Thus less focus may be given on such issues. On the other hand, one of the primary aims of this is to identify the weaknesses; it helps the nurses and other professional specific areas having errors to apply appropriate adjustments to the issue to come out with a desired and positive outcome that matches with the aims and objectives of the healthcare unit.

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Perhaps, using the clinical information system (CIS) may be of great importance. CIS are sets of information which are only meant for use in the clinical care environs, such as in intensive care units (ICU). It has the potential to communicate with several computer systems in digital hospitals to solve various patient problems.

The clinical information systems are usually controlled by the clinical informaticists such as the system analysts. They typically serve hospitals with two significant roles,

To analyze the patient information of the patients and develop relevant electronic patient records that incorporate together all the health information for all healthcare institutions, e.g., the GPs and clinics using the electronic health record systems (EHR).

Control and run technical systems that stores or shares X-rays, ultrasound, and magnetic resonance imaging scans (MRI).

EHR models function with the principle of error eliminations and diagnosis of diseases. The two are the two major roles that it plays in any healthcare organization. At first sight, one may ask how can all these achievements, how does It eliminate errors? This system under the control of clinical informatics, are automated in a manner that whenever an error occurs in the process of medication such as giving of the wrong prescription, the system will quickly send an alert to the clinician notifying him/her of the possible potential effects of the problem (Nguyen, 2016). This means that the ongoing error will stop and proper adjustment is made to correct the fault.

In ancient times, before the introduction of the EHR systems in the hospitals, clinician's committed lots of unintentional errors which lowered the quality of the patient outcome. In the modern setting, the probability of providing high-quality medication to a patient is so high that many patients become very precise and have developed strong trust in hospitals.

Additionally, modern technological advancements have led to the flooding of smartphones, laptops, and computers almost in all corners of the world. Most importantly, medicine can typically be considered as an information-rich enterprise. This means that it encompasses all the individual's information with an auto check one's medication work plow process to ensure that the health provider does all the steps correctly.

Personal Health Records/Portals

In the United States of America, diabetes mellitus (chronic disorder) has become one of the most pressing and devastating concerns. Studies indicate that out of 10 newly admitted patients in US hospitals; one must be suffering from diabetes. Diabetes is a common disease known to be caused by the presence of too much sugar above the required levels in the body. The burden of unnecessary expenditures made by the government in financing the patient's medical treatment of persons with diabetes is just enormous (Peacock, 2017).

In regards to this, experts have revealed that to help in fighting these effects, a persistent collaboration between the health providers like the nurses and the individual patients is critical. Chronic care model was also developed in the year 1998 for the better patient outcome, to those suffering from chronic diseases. However, the introduction of this was because, by then, there were bodies or procedures stated in any of the American healthcare Centre that defined an accurate method of diagnosing chronic related diseases like diabetes mellitus. As a result, the introduction of electronic health models in the year 2011, made the whole process perfect as it fully contained the diagnosis criteria of diabetes just as it had for another set of disorders (Sharif, 2019).

As previously stated, all these were meant to provide good interaction schemes between the informed patients and the providers. In this case, the informed patients were only needed to the relevant technical know-how and skills to make them make concrete decisions, while providers were required to know to provide the patients with appropriate and correct health information or resources to achieve the goal of dealing with the increasing rates of diabetes infection. Previous research states that, by using the modern health information technology, and the technical staff that can activate the tech to come out with a desirable outcome, like patient portals, can help to achieve all this more easily.

With the introduction of the EHR, clinical informaticists same in and thus the whole set of operations ran smoothly and effectively. Patient portals, also known as the personal health records, give web-based platforms, which help the patient to access their health information from the EHR of a health organization (Stamps, 2017). It allows the patient to multi-task several activities within the portal without necessarily attending to the hospitals. For instance, most portals allow for the viewing of the laboratory results, receiving a summary for the visits, and direct electrical communication with the health providers. Extensionally, more advanced portals even give room for individuals to record their symptoms electronically and test the results and more importantly obtain the blood sugar levels.

Many health care organizations have recently adopted the use of patient portals using the EHR models, as one of their core strategies, aiming at providing more-of patient-centered quality care. With this improvement, it is, therefore, possible to fight diabetes mellitus and reduce its future occurrences and prevalence.

I have over ten years of research and professional experience in health informatics (HI). My research focused on the design, development, implementation, evaluation of mobile health informatics, mobile health technologies for chronic disease management, Information and communication technologies, mobile health devices, wearable technologies are all becoming very, very important for supporting remote patient monitoring and home care (Goldzweig et al., 2009)

Conclusion

In conclusion, clinical informatics is an essential option that, healthcare's any new healthcare unit or one that has not should take immediately. This will not only improve the quality of the patient outcome but will also lead to smooth interaction with the health providers, and clear, an automated workflow of the patients. This makes it easy for clinicians to avoid errors and equip themselves with a broader knowledge of pathophysiology for several disorders. The whole process is driven to ensure that healthcare improves efficiency and meet targeted goals.

References

Goldzweig, C. L., Towfigh, A., Maglione, M., & Shekelle, P. G. (2009). Costs and benefits of health information technology: new trends from the literature. Health Affairs, 28(2), w282-w293.Retrieved from https://healthinformatics.uic.edu/blog/the-power-of-health-informatics-in-improving-patient-outcomes/

Stamps, D. C., McCormack, J., Lovetro, C., Berent, G., Opett, K., Glessner, T., ... & Pellegrino, J. (2017). The chief nursing officer council: A model to achieve integrated professional practice in health care systems. Nurse Leader, 15(5), 335-340.

Peacock, S., Reddy, A., Leveille, S. G., Walker, J., Payne, T. H., Oster, N. V., & Elmore, J. G. (2016). Patient portals and personal health information online: perception, access, and use by US adults. Journal of the American Medical Informatics Association, 24(e1), e173-e177.

Nguyen, O. K., Makam, A. N., Clark, C., Zhang, S., Xie, B., Velasco, F. ... & Halm, E. A. (2016). Predicting allcause readmissions using electronic health record data from the entire hospitalization: model development and comparison. Journal of hospital medicine, 11(7), 473-480.

Sharif, O., Domingo, M., Han, J., Chang, M., Khazaie, O., & Kemisetti, A. (2019). Forecasting Model for Disease Propensity Using EHR Data.