Improving Hospital Protocols, Procedures, and Activities

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Table of Contents

Policies That Cover Data Security
Electronic Signatures, Data Correction, and Audit Logs
Human Factors and User Interface Design of Health Information Technologies
Health Information System’s Architecture
Corporate Strategic Plan and Disaster and Recovery Planning Issues
The System Development Life Cycle (SDLC)
Challenges of Electronic Health Records, HIE, and REC
References

Audit procedures can be viewed as maintaining records that can be utilized to offer proof of operations that occurred at a specific activity at a particular moment. They denote who participated in the effort and the kind of exercise. Carcary (2020) noted that data surveillance compares information within an enterprise to a system of regulations to guarantee that it complies with the established norms. This essay is a study of many strategies that can be required to enhance hospital protocols, procedures, and activities by enhancing audit sample approaches and the adequate information comprehensive analysis.

Policies That Cover Data Security

First, the guideline on authentication mechanisms regarding medical IT confidentiality, institutions must execute extensive rules and procedures to preserve the safety of their connections, guarantee secure data transmission, and protect patients’ private details. Accessibility control allows or restricts access to clients, visitors, and employees within a healthcare facility and its IT capabilities (Vayena et al., 2018). These locations include but are not limited to hospital wards, other facilities, and emergency departments.

Second, vulnerability assessment is the strategy that can aid the medical network in the event of a crisis, and emergency preparedness operations are utilized to restore and protect the IT architecture of a business. It is characterized as a wide foundation of consistent catastrophe response measures involving each element, such as e-security, the backup and recovery procedure, and corporate strategy (Vayena et al., 2018). The recommendations for improving the features are highlighted in this section. By integrating instantaneous technical methods and processes, the authorities and the healthcare sector would construct the required facilities for the anonymity and protection of electronic health records. In addition, as one of the essential suggestions, security protocols for future improvement can assist the healthcare business in understanding the safety protocols and enhancing the newest technologies that can make the process simpler and more efficient.

Electronic Signatures, Data Correction, and Audit Logs

A digital signature, often defined as an e-signature, is a valid way to get approval or authorization on digital files or documents. It could replace a handwritten identification in practically every way. PKI, also referred to as public key infrastructure, is a system that helps online signatures (Alrawais et al., 2018). In businesses that rely on signatures for official documentation, there must be a secure method for securing the digital authentications of the end-user and the organization. The utilization of e-signatures in the healthcare industry has improved the productivity of numerous procedures (Fang et al., 2020). Verification of the client, statutory obligations, management, and copyright are the variables that can be considered when employing a digital form. The file containing this information is called an inspection log (Fang et al., 2020). Supervision of the program and infrastructure can assist provide a comprehensive log analysis.

Human Factors and User Interface Design of Health Information Technologies

Human factors and ergonomics (HFE) are terms used to describe the implementation of scientific strengths and vulnerabilities to the design and architecture of the framework. Various client security flaws have been linked to an inability to recognize ergonomics and human factors across the creation and delivery of systems, procedures, organizational activities, occupations, and sophisticated dynamic mechanisms (Sittig et al., 2020). Moreover, HFE’s inaccurate data entry and interpretation are caused by a poorly designed user interface.

The following recommendations depend on the process, ergonomics, human elements, and device choice. Medical equipment and health informatics functionality support people in determining the appropriateness of hospital IT and its relationship to patient care. The development of capability and other technical and social components of health IT will demand commitment and effort from designers and developers of medical IT. Additionally, comprehensive instruction and knowledge of the most up-to-date innovation are essential as the number of new advancements in the marketplace grows. A basic grasp of the techniques is vital for resolving the development issue, and better training and guidance can aid in this endeavor.

Health Information System’s Architecture

Typical components of data warehouse approaches include corporate setup assessment, resource architecture, structural engineering, integration, and connectivity. It is difficult and time-consuming to examine multiple healthcare data in a health information repository, yet they are the most efficient data warehouses for providing reliable client help. The hospital framework must have an acceptable design methodology. The first stage is creating a database with the healthcare program’s records, including patient data, practitioners’ content inspection, and other features. Inadequate system evaluation may lead to security vulnerabilities during the software’s installation.

By providing better and more convenient access to information from current systems and interfacing to diverse functional datasets, hospitals could offer various advantages to the company, such as enhanced quality and management assistance. Furthermore, connectivity administration is the technique of recognizing, managing and dealing with the documentation needed for unrelated items, such as procedures, support, hardware, programs, and material, to perform together. Most modern tools and networks provide interfaces with old products and applications. Due to a lack of interaction, collaboration, and credibility among construction stakeholders, contingency planning might fail.

Corporate Strategic Plan and Disaster and Recovery Planning Issues

The project data administration architecture is a report outlining the responsibilities and processes involved in program data management. Creating a blueprint is fundamental to estimating the work and energy required to collect and allocate a work plan. A company’s network supervision strategy is one of the critical factors that can aid in its effective entity. A weak approach entails a corporate strategic issue and can be a significant problem in strategy implementation (Gustin, 2020). A winning tactic can assist in achieving the objective and increasing productivity. Since all personnel is unfamiliar with the new innovation, adequate instruction and guidance can aid in comprehending the management strategy.

An emergency preparedness architecture is a detailed, systematic plan that shows how a hospital might restart functions swiftly following an unforeseen event. An essential element of a firm continuity tactic is a recovery plan. It alludes to an institutional aspect dependent on a functional IT network. As the organization has an adequate recovery structure, it can cope with unforeseen circumstances. Sometimes, gross incompetence that is an issue in disaster and recovery planning can significantly influence an enterprise (Gustin, 2020). As such, inadequate information can have the greatest effect on the sector; thus, technical expertise is also essential.

The System Development Life Cycle (SDLC)

The SDLC is a crucial component of numerous phases in software enhancement. In the implementation of a system, all stages play a critical part. The SDLC consists of seven steps: organization, analysis, architecture, implementation, testing, installation, and management.

Organization Phase Challenges

The first component of the SDLC is the planning stage, in which the strategy approximation is crucial due to the involvement of multiple stakeholders. As the client has numerous criteria for implementing the proposed system, the organization process can be complicated by required alterations and miscommunication. When a modification poses a problem in demand, the entire process must be redone, and each step must be repeated. Poor communication and misunderstanding of the necessities can occasionally negatively affect a procedure.

Analysis Phase Challenges

Since the user specification has been determined, the assessment is also a crucial phase. Noteworthy is the thorough examination of the system design procedure. Sometimes, a poor study of system demands can hinder the ability to comprehend the challenges. As needs change, the client is confronted with questions requiring an examination of how the situation might be understood and how to solve it. Moreover, inadequate knowledge and awareness of the need might occasionally affect the process.

Design Phase Challenges

After accumulating all the criteria and conducting an assessment, the following step is the conceptual architecture. The user interface may be the most significant factor since the proper selection and dynamic design can be quite beneficial. Occasionally, the structure and functionality of the client interface constitute a substantial concern as numerous emerging innovations emerge. Utilizing new technology is sometimes advantageous, but lacking technical expertise might negatively impact the design phase.

Development Phase Challenges

Several factors must be considered as the development period entails numerous procedures and methods. System development requires careful analysis of the development phase since it involves programming and database growth opportunities. Given the limited time, designers can find it challenging to create a system when the customer stipulates a time constraint. Additionally, if the system architecture prototype created during the design process is not converted into a functional information system, all defined program necessities will not be met.

Testing Phase Challenges

The testing step is also crucial since it can be used to identify system flaws and vulnerabilities. The lack of effective communication between architectures and programmers can significantly affect the development procedure as multiple sorts of screening are possible. Additionally, the omission of monitoring can have a negative impact on the process; hence appropriate testing is essential.

Deployment Phase Challenges

As software testing and development steps have been completed, software deployment is crucial. Therefore, this can be a significant and essential undertaking involving multiple organizations. Security proves to be a concern as selecting secure offerings may assist in maintaining the network stable. In addition, implementation expenditures can occasionally influence the procedure.

Maintenance Phase Challenges

Servicing is also significant, as glitches and security flaws can eventuate in the process. It is crucial to validate the entire procedure, as inadequate testing can adversely influence the maintenance stages, as the screening process is an integral part of the system. Additional innovations presented can also present a challenge as they emerge in the recovery phase.

Challenges of Electronic Health Records, HIE, and REC

EHR deployment is expensive due to the increased expenditure for EHR selection, implementation, and standards. According to statistics, deploying an EHR can be extremely costly. In addition, information privacy is a serious EHR execution issue due to concerns regarding client and practitioner data security. Financing the expenditure on HIE can be challenging as it covers various expenses, such as the cost of acquiring and implementing the system, the payment of joining a city or county HIE group, and processing fees charged by vendors for transferring information (Dauwed et al., 2019). Additionally, permission by the client is one of the greatest obstacles in HIE, as authorization is required for the transmission of clinical information via many technological and medical systems. Several of the issues of regional extension centers (RECs) are outlined in this article. RECs face practice challenges, wherein a lack of practice can occasionally affect the RECs. It is essential to have a thorough understanding of the REC. In addition, RECs confront vendor difficulties, which might arise during the vendor selection process. Since numerous suppliers offer efficient services, selecting a specific and reliable vendor might be challenging.

References

Alrawais, A., Alhothaily, A., Cheng, X., Hu, C., & Yu, J. (2018). Secure-guard: A certificate validation system in public key infrastructure.Transactions on Vehicular Technology, 67(6), 5399-5408. Web.

Carcary, M. (2020). The research audit trail: Methodological guidance for application in practice. Electronic Journal of Business Research Methods, 18(2), pp166-177. Web.

Dauwed, M., Yahaya, J., Mansor, Z., Hamdan, A. R., & Meri, A. (2019). Health information exchange: Current trends, challenges and recommendations. In 2019 International Conference on Electrical Engineering and Informatics (pp. 518-523). IEEE.

Fang, W., Chen, W., Zhang, W., Pei, J., Gao, W., & Wang, G. (2020). Digital signature scheme for information non-repudiation in blockchain: A state of the art review.Journal on Wireless Communications and Networking, 2020(1), 1-15. Web.

Gustin, J. F. (2020). Disaster & Recovery Planning: A Guide for Facility Managers. River Publishers.

Hossain, A., Quaresma, R., & Rahman, H. (2019). Investigating factors influencing the physicians’ adoption of electronic health record (EHR) in healthcare system of Bangladesh: An empirical study. International Journal of Information Management, 44, 76-87. Web.

Sittig, D. F., Wright, A., Coiera, E., Magrabi, F., Ratwani, R., Bates, D. W., & Singh, H. (2020). Current challenges in health information technology-related patient safety.Health Informatics Journal, 26(1), 181-189. Web.

Vayena, E., Dzenowagis, J., Brownstein, J. S., & Sheikh, A. (2018). Policy implications of big data in the health sector. Bulletin of the World Health Organization, 96(1), 66-68. Web.

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