Research Paper - Information Governance

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Information Governance

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Impact of Health Information Technology on Patient

Introduction

The publication of the original Institute of Medication report has increased development and health information technology with different degrees of evidence concerning the effect of health information technology on the patient’s safety. As a newly employed Chief Information Governance Officer in healthcare, I will develop strategies that will help provide the governance information to healthcare. They will need to employ some new staff that we are going to work together to ensure patient health is safely guided.

Patient safety is a critical factor in every healthcare; the staff involved should continually develop ways to avoid, prevent, and ameliorate the adverse outcomes in medicine reports; institutions are requested to develop and test the new technology, which could help reduce the errors in medical departments. Another report in 2002 was done using the technology to help change and transform the healthcare environment hence achieving better care.

This paper will discuss the about a new department that need to be created, role of a newly appointed chief information Governance office, data that was collected by the healthcare in the past 50 years in its operation, evaluate and come up with conclusion, build better information technology that will help safeguard the health record of the patients, implement better methods to store patient's information, get rid of duplication of information experienced in the administration records and implement the policy that will lead to proper handling of the patient information.

The chief information Governance office will develop marketing strategies to help the healthcare increase clients, using different social media to help create awareness of their services. Develop a training session that will empower the workers on the required policy in the health facilities and legal actions services. To develop a matrix as Chief Information Governance officer, he will ensure good leadership, governance, and strategic plan are put in place, resulting in the patient's safety, strategic and articulate plan against measured progress. The Chief Information Governance officer will also access the current evidence on the effect of different health information technology that can lead to patient safety improvement outcomes and ensure trust compliance with trust policy.

Annotated Bibliography

The authors seek to explore if stress from using health information technology (HIT) might predict physician burnout. In 2017, a study of Rhode Island practicing doctors' usage of health information technology was conducted. Self-reported tiredness was the primary outcome. To determine the existence of HIT-related hassle, researchers looked at poor/peripheral time for certification, ascetically high/unwarranted time consumed at home on the EHR, and bargains that expending an EHR supplements to everyday irritation (Gardner et al., 2019). Burnout was mentioned by 26% of physician responders, according to the data. 70 percent of EHR users (91 percent) experienced HIT-related stress, with primary care specialties reporting the highest frequency. After adjusting for other factors, physicians who reported poor/marginal documentation time had a 2.8 times higher risk of burnout than those who reported adequate documentation time (95 percent). Of people with moderately high/excessive spending time on EHRs at home, burnout was 1.9 times more likely compared to those with minimal/null spent time in the house on EHRs. In those who believed that EHRs contributed to their daily agony, burnout was 2,4 times more frequent than in those who disagreed. Stress associated with HIT may be quantified, common, specialized and independently predicts burnout symptoms. Identifying HIT aspects of burnout might assist healthcare companies detect and tackle their physicians and staff exhaustion.

The authors want to know how IT systems affect physicians' work habits and patient participation in test result organization and continuation. From January 1999 to June 2018, researchers searched the various databases. In controlled studies, health IT has been proven to enhance physician knowledge of test findings that demand action (by 24–28 percentage points) and the fraction of tests that are followed up on. However, when looking at the statistics on the influence of health IT on trial result administration and supplement as a whole, there is a dearth of information. During the expansion of innocuous and operating IT management test outcomes schemes, a number of aspects should be addressed (Georgiou et al., 2019). Diagnostic procedures (including integration of many individuals and clinical settings into the spectrum of health care), and organizational communication are the three areas that make a contribution to p. The patient-centric engagement is a common, timely and relevant piece of information. According to present studies, health information technology provides (and probably does not) no full answer to assessment results organization and /supplement problems.

The objective of this study was to investigate the current literature in order to determine how HIT affects medical results. We expected to enhance medical outcomes by employing HIT. In the health-care sector, (HIT) was used since the 1960s when workers were used for financial activities, despite worries over its effects on medical results. There have been several extensive reviews in this regard. In this review, the literature is updated (Kruse & Beane, 2018). In the past five years, we have been looking at peer-reviewed articles highlighting an intervention on the part of health information technology (HIT) and its efficiency or efficacy effects for treatment. The authors used the PRISMA methodology as their basis for the review and followed the AMSTAR assessment. The majority of study shows that the efficiency of medical results is improved by health information technology, which is good to the usage of phase 3 initiatives. This corresponds to earlier estimates from different times of history.

The authors intended to examine the effect of CT usage in an emergency department in patients with suspected nephrolithiasis in an AUC for renal colic that is based on local best practices applied as electronic clinic decision support (CDS). Research was conducted at the urgencies of a trauma center (study site) level I and a similar adjacent hospital (control site). A team of emergency medicines, emergency radiology and urology developed an AUC for patients under 50 years of age with a history of simple nephrolithiasis presenting with renal colic and was considered to be CDSV (Raja et al., 2019). There was no CDS warning for the AUC compatible CT of the ureter needs. Otherwise, the doctor was urged to try symptomatic therapy without CT scan or release a patient. The natural languages treatment technique looked for conceptual unique identifiers of flankal pain, renal or ureteral discomfort in ED reports in September 2010 and February 2012 (before AUC adoption) and April 2013 to September 2014. Instances that were not eligible have been eliminated manually and a multidiscipline committee has examined the remaining cases. The principal result of CT-rate differences was analyzed using Chi-square testing. An AUC based on local best practices as a CDS may successfully minimize imaging over-usage in a sub-component of renal colic patients who are unlikely to have difficulty or other risky diagnosis.

A detailed study was carried out by the authors to find out how IT issues effect healthcare and patient output. As bibliographic database, the Scopus, PubMed and Science Citation Index were used. The database on IT challenges and their impacts was created between January 2004 and December 2015. In a concept dubbed the Chain of Information Value, scientists attempted to discover how IT issues affect participatory involvement of users, receive information, make decisions and procedures alongside the patient result (Kim et al., 2017). In the review, a statement was included to the proposed reports for organized examinations and meta-analysis (PRISMA). The great majority of the data demonstrate that IT health problems are qualitative and may still be evaluated and scientifically quantified on the hazards and advantages of patient welfare. The material value restraint in juxtaposition with existing categories enables measuring IT health hazards and identifying serious dangers to patients' safety.

Literature Review-Impact of Health Information Technology on Patient

Health data management is a critical procedure of any healthcare organization since it ensures the capability of improving positive outcomes for all patients. The Chief Information Governance position offers better opportunities for developing medical improvement measures. Alotaibi & Federico (2017) explained that health information technology is a broad construct that involves technological adaptations for patient improvement scenarios. The technique facilitates decision-making, high-quality outcomes, reduction in errors, and the capability of managing patient data. In addition, it is possible to implement E-prescribing measures as it offers a better possibility for the patient to access suitable medical management scenarios.

Significant improvement of patient outcomes would be possible once a technology gets used to sharing medical information in different institutions (Alotaibi & Federico, 2017). This is possible as it promotes patient safety continuity in all environments since there is knowledge sharing of their conditions. Patient improvement and reduction of hospital visits are critical processes that must get involved during all hospital activities. Innovations like electronic drug cabinets promote better medical management regardless of patient conditions. It is possible to create accuracy during all patient visits.

Ismail et al. (2020) explained that health data management offers accurate research procedures. This process is critical to the improvement of patient outcomes as it promotes the capability of generating improvements that are directly connected to patients' issues. Implementation of IoT, cloud data management, and extensive data analysis are effective methods of enhancing patient improvements. It is thus evident that health data management offers the best patient improvement measure. The possibility of accessing unbiased and accurate data is interconnected when technology gets used in all healthcare environments. Furthermore, health data management systems offer more accuracy since medical records are used to determine positive plans for patient improvements.

Ismail et al. (2020) further emphasized that electronic health records are the basis of health management. All healthcare providers that interact with patients are thus able to correlate with each other and share information for the ultimate internal high standard management of patients. Once all the data gets recorded from the moment a patient begins their treatment, it becomes easy to use the data for research and future policy creation. The technique involved in creating healthcare apps also promotes the recording of all patient information. It thus becomes easy for any person in a health management office to use their knowledge and technical capabilities to generate reliable treatment processes.

Kim et al. (2017) explained that there could be problems related to information technology management when an error occurs at any point in a patient's interactions. When healthcare providers receive patient information, the consequent action is recording the data in the hospital's system. Once there is a human or machine error, all future actions in the patient management scenario get subjected to errors. Considering this is a mandatory action by the health information manager to ensure a proper method of improving patient outcomes. Transformation of patients' decision-making procedures is the best method of eliminating errors since persons in different departments rely on recorded data to determine the care process.

Health information technology ensures all patients in the hospital become eligible for accurate care management processes. Kim et al. (2017) explained that there could be IT-related issues that may not pose harm to patients when physicians discover the issues and rectify them early. In this regard, the improvement of accuracy is possible once the results of different patient conditions get used to promote better policies. Furthermore, once all patients understand the imperative nature of the health environment, they would produce factual information. The authors further explained that improvement of accuracy of information systems is a critical requirement by decision-makers that allow the chief information governance officer to implement suitable policies.

Mitchell & Kan (2019) stated that digital technology facilitates accuracy and speed in the improvement of patient conditions. It is possible to improve the quality of care once all patients get provided with accurate diagnostic methods suitable to their conditions. Implementation of customized treatment methods is a possibility in all areas of the healthcare environment. The authors explained that all procedures of recording data promote reliable operations since it is possible to access unbiased information related to different patient conditions. Advancements in technology are constant and enable healthcare providers to provide reliable services at all times. The process of generating interventions is possible in the healthcare department that adapts to technological improvements.

The involvement of data as the basis of all health improvement initiatives is the best method to ensure reliable health management. As Mitchell & Kan (2019) explain, it is possible to create plans suitable to diverse patient conditions. Once there is knowledge improvement for all patients in the healthcare environment, it becomes easy to reduce hospital visits. A chief information governance officer is capable of creating strategic planning processes during all hospital activities by accessing data and create suitable policies with it. Any challenges during patient management processes can get solved by involving patients' historical data to determine a suitable prognosis. The authors explained that hospitals should store patient data and use it to eliminate mistakes during any future procedures.

Reference

Alotaibi, Y. K., & Federico, F. (2017). The impact of health information technology on patient safety. Saudi medical journal, 38(12), 1173–1180.

Gardner, R. L., Cooper, E., Haskell, J., Harris, D. A., Poplau, S., Kroth, P. J., & Linzer, M. (2019). Physician stress and burnout: the impact of health information technology. Journal of the American Medical Informatics Association, 26(2), 106-114.

Georgiou, A., Li, J., Thomas, J., Dahm, M. R., & Westbrook, J. I. (2019). The impact of health information technology on the management and follow-up of test results–a systematic review. Journal of the American Medical Informatics Association, 26(7), 678-688.

Ismail, L., Materwala, H., Karduck, A. P., & Adem, A. (2020). Requirements of Health Data Management Systems for Biomedical Care and Research: Scoping Review. Journal of medical Internet research, 22(7), e17508.

Kim, M. O., Coiera, E., & Magrabi, F. (2017). Problems with health information technology and their effects on care delivery and patient outcomes: a systematic review. Journal of the American Medical Informatics Association, 24(2), 246-250.

Kruse, C. S., & Beane, A. (2018). Health information technology continues to show positive effect on medical outcomes: systematic review. Journal of medical Internet research, 20(2), e41.

Mitchell, M. & Kan, L. (2019). Digital Technology and the Future of Health Systems. Health Systems & Reform, 5, (2).

Raja, A. S., Pourjabbar, S., Ip, I. K., Baugh, C. W., Sodickson, A. D., O'Leary, M., & Khorasani, R. (2019). Impact of a health information technology–enabled appropriate use criterion on utilization of emergency department CT for renal colic. American Journal of Roentgenology, 212(1), 142-145.