Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

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Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

Review the Resources and reflect on the impact of clinical systems on outcomes and efficiencies within the context of nursing practice and healthcare delivery.

Conduct a search for recent (within the last 5 years) research focused on the application of clinical systems. The research should provide evidence to support the use of one type of clinical system to improve outcomes and/or efficiencies, such as “the use of personal health records or portals to support patients newly diagnosed with diabetes.”

Identify and select 4 peer-reviewed research articles from your research.

For information about annotated bibliographies, visit https://academicguides.waldenu.edu/writingcenter/assignments/annotatedbibliographies. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

The Assignment: (4-5 pages not including the title and reference page)

In a 4- to 5-page paper, synthesize the peer-reviewed research you reviewed. Format your Assignment as an Annotated Bibliography. Be sure to address the following:

Identify the 4 peer-reviewed research articles you reviewed, citing each in APA format.

Include an introduction explaining the purpose of the paper.

Summarize each study, explaining the improvement to outcomes, efficiencies, and lessons learned from the application of the clinical system each peer-reviewed article described. Be specific and provide examples.

In your conclusion, synthesize the findings from the 4 peer-reviewed research articles.

Use APA format and include a title page. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

Clinical Systems On Outcome And Efficiency In Healthcare

Introduction

A clinical system is an information system which networks with many computers designed to enhance communication in a hospital or an emergency department. With the advanced technology, many modern facilities haveincorporated digitalized clinical systems such as electronic health records and electronic medication administration record. These clinical systems help to improve communication among healthcare professionals, help in making the right clinical decisions, encourage quality improvement, allows for better clinical research, and makes it easier for patients to have diagnostic tests when necessary. Clinical systems are also used to monitor extremely sick patients.

This article describes clinical systems, their outcome, efficiency, and lessons learned in form of annotated bibliography. The selected clinical system is an electronic medication administration record (eMAR). eMAR is a technology that automatically documents medicine administration in the electronic health record (EHR). It allows professionals and patients to view the exact medication used, safeguards, and backs up patients’ data. Its creation has led to the provision of accurate results, reduced medication errors, and time used in documentation. eMAR is effective in managing patients with chronic illnesses such as diabetes mellitus because it alerts the professional when the medication is due. It can easily track patient’s progress through reports of the previous visits and improves the efficiency of the drug administration. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

Annotated Bibliography

Bertsimas, D., Kallus, N., Weinstein, A. M., & Zhuo, Y. D. (2017). Personalized diabetes management using electronic medical records. Diabetes care, 40(2), 210-217.https://doi.org/10.2337/dc16-0826

This article describes the impact of electronic medication administration records in personalized diabetes management. The author describes that diabetes mellitus type 2 is managed through lifestyle modification; healthy eating, physical exercise, oral medication, or insulin administration. Through clinical evidence-based research, glycemic control is the main achievement during the management of diabetic patients. The choice of pharmacological therapy to maximize the effectiveness is not yet understood. Therefore, electronic medication administration records help in monitoring the effectiveness of the medicine administered through its alerts and reports. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

A research study was done to determine the outcome of patients with diabetes type 2 based on the use of eMAR. The participants were patients with diabetes type 2, had at least three recorded HbA1c laboratory measurements, had a prescription of at least one blood glucose regulation agent, and are present in the system for an observation period of 100 days. The patient’s personal data was recorded in the eMAR during every hospital visit. From the study, the eMAR personalized each patient’s treatment plan based on their medical history records which improve significantly on the standard of care. eMAR is effective in managing diabetes type 2 because it has shown improved outcomes.

Seidling, H. M., Mahler, C., Strauß, B., Weis, A., Stützle, M., Krisam, J., … & INFOPAT P4/P5 Study Team. (2020). An Electronic Medication Module to Improve Health Literacy in Patients With Type 2 Diabetes Mellitus: Pilot Randomized Controlled Trial. JMIR formative research, 4(4), e13746. doi: 10.2196/13746

This article describes the use of eMAR in improving health literacy among diabetic patients. The author reports that diabetes mellitus is a chronic illness that depends on a long-life intake of drugs that needs continuous unremitting efforts to self-manage the medication process. This means that the patient has to actively take medicine, fill, and pick up prescriptions, understand the drug regimen, monitor adverse effects, and sustain it over the long term. Electronic medication modules have helped in improving patient literacy in four dimensions; access to relevant health information, understanding relevant information to health, apply and use relevant information to health, and appraisal and process information. Health literacy aims at supporting patients to achieve their roles in the management of diabetes. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

A research study was conducted through randomized controlled trials among patients with diabetes type 2. Patients were divided into two groups. One group had access to electronic medication information and a medication schedule while the other group was given a medication brochure. There was an increased dropout because of underpowered participants. However, the intervention is effective in managing patients with diabetes type 2 if it were carefully implemented amongst the participants. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

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Lee, C. S., Tan, J. H. M., Sankari, U., Koh, Y. L. E., & Tan, N. C. (2017). Assessing oral medication adherence among patients with type 2 diabetes mellitus treated with polytherapy in a developed Asian community: a cross-sectional study. BMJ Open, 7(9), e016317.http://dx.doi.org/10.1136/bmjopen-2017-016317

This article describes the medication adherence among patients with diabetes mellitus on oral polytherapy. The author reports that the disease burden of diabetes mellitus type 2 is on the rise due to optimal glycemic control leading to vascular complications. The use of electronic medication records has a direct impact on glycemic control and clinical impact. Other factors associated with medication adherence are the interaction between patients, physicians, healthcare team, and the medication factors.

A research study was done at a primary care outpatient clinic in Singapore involving adult patients with diabetes type two. The study design was data analysis from the cross sectional survey and electronic medical records. The study aimed to determine medication adherence to oral therapy. The total participants were 382c patients with a slight female dominance. Younger patients doing self-administration of medicine had poor adherence and glycemic control while those who used electronic medication administration records had a good adherence and outcomes. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

Ruan, Y., Bellot, A., Moysova, Z., Tan, G. D., Lumb, A., Davies, J., … & Rea, R. (2020). Predicting the risk of inpatient hypoglycemia with machine learning using electronic health records. Diabetes care, 43(7), 1504-1511. https://doi.org/10.2337/dc19-1743

This article describes electronic health records in predicting the risks of impatient hypoglycemia. Hypoglycemia is a common complication of diabetes characterized by inappropriately low glucose levels. Hypoglycemia can cause permanent neurologic damage if not treated promptly. With the use of the electronic medical device in the United States, hypoglycemia is very common in inpatients with a severe incidence of 7%. The strategies that reduce the risk of hypoglycemia at the inpatient are analyzing patient’s historical data and developing a prediction tool by the use of the electronic medical device.

A research was conducted from a hospital electronic medical record. It showed blood glucose levels, administered medication, and demographics. The data analyzed that the causes of hypoglycemia were dependent on the medicine used, procedures performed, weight, and the type of diabetes. Hence, the use of the electronic medical device is accurate in managing critical health conditions. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

Conclusion

A clinical system is an information system that networks with many computers designed to enhance communication in a hospital or an emergency department. They help to improve communication among healthcare professionals, help in making the right clinical decisions, encourage quality improvement, allows for better clinical research, and makes it easier for patients to have diagnostic tests when necessary. Clinical systems are also used to monitor extremely sick patients. Diabetes mellitus is a chronic illness that needs regular monitoring of blood sugar levels to prevent its fatal complications. Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

References

Bertsimas, D., Kallus, N., Weinstein, A. M., & Zhuo, Y. D. (2017). Personalized diabetes management using electronic medical records. Diabetes care, 40(2), 210-217.https://doi.org/10.2337/dc16-0826

Lee, C. S., Tan, J. H. M., Sankari, U., Koh, Y. L. E., & Tan, N. C. (2017). Assessing oral medication adherence among patients with type 2 diabetes mellitus treated with polytherapy in a developed Asian community: a cross-sectional study. BMJ Open, 7(9), e016317.http://dx.doi.org/10.1136/bmjopen-2017-016317

Ruan, Y., Bellot, A., Moysova, Z., Tan, G. D., Lumb, A., Davies, J., … & Rea, R. (2020). Predicting the risk of inpatient hypoglycemia with machine learning using electronic health records. Diabetes care, 43(7), 1504-1511. https://doi.org/10.2337/dc19-1743

Seidling, H. M., Mahler, C., Strauß, B., Weis, A., Stützle, M., Krisam, J., … & INFOPAT P4/P5 Study Team. (2020). An Electronic Medication Module to Improve Health Literacy in Patients With Type 2 Diabetes Mellitus: Pilot Randomized Controlled Trial. JMIR formative research, 4(4), e13746. doi: 10.2196/13746 Clinical Systems on Outcomes and Efficiencies In Healthcare Delivery

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