Major Policies Covering Data Security
Health Insurance Portability and Accountability Act (HIPAA)
HIPAA is the most significant regulation for data security in the healthcare industry. The HIPAA regulation uses a number of security measures to safeguard a person’s medical and other data against attacks (Calhoun et al., 2018). The regulation is only in place to safeguard defenseless individuals and guarantee that everyone has complete access to a record of their private medical information. Anyone who creates, maintains, transmits, or utilizes personally identifiable medical information must provide privacy protection.
Federal Information Security Modernization Act (FISMA)
It involves government agencies developing information management plans to protect sensitive data. FISMA is one of the most important standards for federal data protection obligations and advice. When controlling government information security spending, it was introduced to limit the possible threat of federal information and data (Ahmed & Rajput, 2020). FISMA was intended to empower each government department to create, record, and carry out a whole information security strategy in order to safeguard and preserve the agency’s operations.
Recommendations to Improve the Elements Involved in The Design of Audit Trails and Data Quality Monitoring Programs Within the Hospital
Computers and devices used in data quality monitoring programs should be configured and authenticated on a regular basis. This is critically necessary for data quality, supervision, and monitoring since it necessitates more attentiveness. As a result, the data obtained during monitoring must be backed up. This backup will be useful and necessary in any emergency situation. Furthermore, before conducting a quality audit, all of the metrics involved in the audit should be confirmed in advance. Inspection of previously specified standards aids in the dependability of data security and associated processes.
System Capabilities to Meet Requirements by Identifying Technologies Critique
The fact that the audit log is frequently unavailable suggests that consistency and protection could nevertheless be maintained. Although the audit report may be obtained upon request, the lack of a clearly identifiable record may make patients anxious and think that the confidentiality of their medical information has also been compromised. The fraudulent use of healthcare data and patient detection are thus possible for hackers that employ certain systems or altered workstations. There are a plethora of issues and breaches when audit logs become an option and electronic signatures of a consumer’s identification are not always immediately verified or accepted by the system.
Essential Recommendations for Device Selection Based on Workflow, Human Factors, and Ergonomics
Human factors are those elements that affect a person’s achievement. An understanding of human aspects is essential for safer wellbeing. It becomes a fundamental component of a health professional’s education. Human components include things like cognitive abilities (which are further subdivided into several forms) such as attention, interpretation, judgment, and reasoning (Keebler et al., 2022). Criticizing the Health Information System (HIS) implies that human dynamics and ergonomics are not considered in terms of human capabilities. Human capacities with physical, mental, emotional, and tactile reactions are all crucial in the human interface, guaranteeing that functionality in the arrangement of human vs machine incompatibilities may be adjusted.
User abilities in relation to safe and useful design systems may be limited by the physician’s workflow, user interfaces, and lack of knowledge or layout with regard to enhancing mobility. Enhancing therapeutic effectiveness by taking into account the effects of cooperation, activities, tools, settings, neighborhoods, and organizations on human abilities and nature. Human factors assess the relationship between people and the structures in which they communicate in an effort to reduce mistakes by enhancing productivity, performance, and creative thinking. The EHR has a number of issues, including security dangers from malicious computer hackers, data bottlenecks because of a shoddy interface, and issues with use for those who have difficulty with typing (Keebler et al., 2022). When choosing a device for this use, you should consider ergonomics, workflow, and human factors.
Assessment of Electronic Health Record Architecture in Terms of Database Design
An electronic health record (EHR) is a digital representation of a patient’s medical history that the doctor keeps over time. It can include all the general clinical administration information pertaining to the care of patients under a specific provider, such as statistics and medications. The patients save a lot of private information in the EHR. As a result, security in its database is given a lot of consideration. An EHR system stores its data in a dispersed format rather than all in one location. The authorities utilize a variety of encryption algorithms and authentication techniques to store the data securely. The EHR database is incredibly streamlined and user-friendly in terms of architecture. All users are given their login and password to view the data in this. This involves interacting with a database in a quantum fashion. Any kind of assault is protected by safety algorithms.
Despite the many benefits of electronic health records, their implementation presents challenges and limits, most notably budgetary, technological, standards, human behavioral, and organizational restrictions. Problems arise when issues are routed through delivery teams, with cross-functional concerns frequently failing to receive the attention they require. In the realm of device testing, terms such as issue, fault, and error are used interchangeably. However, the problem might be regarded as one of task division in order to improve the system. It might be a bug, a shift need, a task, missing information, or something else. Misaligned assumptions, the integrity of records, and a lack of technical assistance may all be major concerns with system installation.
Issues Related to Operational Improvement Plan, Corporate Strategic Planning, and Information Management Plan
The basis of a plan is a novel vision and goal. This is an opportunity to develop a roadmap with a clear focus and substantial support. There must be clear deadlines, comprehensive timetables, and explicit roles for the workforce. To ensure that goals are attainable and realistic when starting a large, company-wide initiative, it is preferable to start small. From then, resources and goals can be increased until the desired result is achieved within the given timeframes.
A new strategic plan would never be implemented if the necessary staff were not properly prepared. There are various reasons why firms cut back on acceptable organizational and learning demands for their employees. Furthermore, there are various current choices that integrate into employees’ hectic schedules for uncomplicated yet highly efficient preparation. Choosing the right training solution saves money and provides follow-up to ensure that workers perform particular exercises in their daily business operations by minimizing excessive downtime, enhancing skills, or teaching new abilities.
Challenges of System Development Life Cycle
Interaction of Initial Stage
One of the key difficulty areas develops during the specification collection stage, and it pertains to contact problems between the involved parties. A technique such as the Waterfall model contributes to a quandary in which the next stage of the process is either required to be put on hold or the entities appear to be confused if the end objective distortion is not resolved at the initial stages, contributing to the issue being compounded in the later stages.
Checking for Crunch Time
Testing is necessary to ensure that the program functions in accordance with the original concept and that all safety measures/bugs are evaluated today. The issues that arise throughout the testing process are often the result of bad management (whether it is a lack of time allotted to testing owing to poor management or financial restrictions), specifically underestimating the time required to completely test the product.
The Distinction in Problems Related to EHR, HIE, and REC
EHR mainly consists of Implementation Cost, poor usability, Interoperability, and data privacy. HIE, on the other hand, has problems like data sharing, patient consent, and competition. REC deals with issues problems like practice, vendor, and attestation process issues. Each of the three has unique issues that are connected to the work being done under them. Data security and cost issues, for instance, plague the EHR, whereas Patient Consent and Standard issues plague the HIE.
Ahmed, S. M., & Rajput, A. (2020). Threats to patients’ privacy in smart healthcare environment. In Innovation in Health Informatics (pp. 375-393). Academic Press.
Calhoun, B. C., Kiel, J. M., & Morgan, A. A. (2018). Health insurance portability and accountability act violations by physician assistant students: applying laws to clinical vignettes. The Journal of Physician Assistant Education, 29(3), 154-157.
Keebler, J. R., Rosen, M. A., Sittig, D. F., Thomas, E., & Salas, E. (2022). Human factors and ergonomics in healthcare: Industry demands and a path forward. Human Factors, 64(1), 250-258.