HIPAA, Healthcare Data Security, and Online Scheduling System Analysis

This report analyzes the Health Insurance Portability and Accountability Act (HIPAA) and its impact on healthcare data security. It examines the need for robust security standards in the healthcare industry, focusing on clinical programs, electronic health records, and patient data privacy. The report also explores qualitative survey research methodologies, including in-person and phone interviews, and mailed questionnaires, to gather in-depth information. Furthermore, the report addresses the context of an online scheduling system for Faruk Medical City (FMC) in Northern Iraq, highlighting the challenges of managing surgery room bookings and equipment availability. The project aims to define evaluation parameters, design evaluation methods, set standards, collect evidence, and report findings, potentially utilizing paired samples t-tests for pre- and post-system condition assessment. The objective is to improve patient care quality and reliability through technology adoption and data protection.

Running head: COMPUTER ENGINEERING
Computer Engineering
Name of the student
Name of the university
Author’s name

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Major Modifications
The 1996 Health Insurance Portability and Accountability Act (HIPAA) mandated the
U.S. Department of Health and Human Services (HHS) Secretary to create legislation that would
preserve the rights and confidentiality of some health data. According to HIPAA, the healthcare
industry does not have a commonly accepted collection of safety standards or basic criteria for
securing health data. Clinical programs along with computerized physician order entry (CPOE)
systems, electronic health records (EHRs), and radiology, pharmacy, and laboratory technologies
are used by providers. Health care plans supply direct exposure to assertions management and
care, and also to self-service programs for members.
A major objective of the Privacy Policy is to protect the health information privacy
received by patients to encourage covered entities for the adoption of new technologies and
improve the patient care quality and reliability.
Conduct of the project
Qualitative survey research is a less formal study technique used to gather in-depth information
about the basic thinking and motives of individuals. The primary goal is to develop a thorough
understanding of a subject, problem, or issue from an objective viewpoint. Survey means ' in a
systematic way to look at. ' There are various approaches for conducting polls, such as in-person
and phone interviews, mailed and electronic questionnaires.

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In-Person Interviews
The most personal approach and most effective way of gaining confidence and support from the
respondent may be to obtain information in person. Reacting to confused facial expressions,
answering questions, clarifying inquiries or redirecting answers is better.
Telephone interviews
Mobile interviews are less costly than personal interviews, which, based on the numbers
involved, can be more or less expensive than mailings. Many people are easier to reach by
mobile. Not everybody has one though.
Mailed Questionnaires
Many individuals can be contacted by paper surveys than any other form, but up-to-date mailing
lists can be hard to get through and publishing can be costly.
The design
The path for undertaking a quantitative research varies from one another. Interviews, focus group
Interactions, approaches through analytical methods and records analysis are among the most
popular. The study's legitimacy is improved by the use of two or more forms of data gathering,
for example interviews and focus groups (' information triangulation').
Statement of Deliverables
Evaluation Methodology (Baehr2004)
 Define the parameters based on which the evaluation is considered.
 Design the methods used during the process of evaluation.

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 Standards setting and evidence collection
 Reporting followed up with making of decisions
Paired Samples t Check can be used after using the app to assess the pre and post condition. This
check contrasts two definitions that come from the same units, entity, or connected.

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References
Baehr, M., 2004.Evaluation methodology. Elmhurst College, p.4.