Capella University
BHA-FPX 4106: Introduction to Managing Health Care Information
Professor
February 5, 2023
Table of Contents
The System Applications Used to Collect the Health Information. 4
The Flow of Health Record Information through the Information Life Cycle. 4
The Use of information from a HIE. 5
Personnel Required To Complete the Health Information Review.. 6
Quality and Change Management Strategies. 8
Introduction
Effective data collection makes the care team responsive to the needs of patients living with HIV. The data to collect includes demographic details such as the patient’s age, progress notes, lab results, treatments, medical histories, discharge summaries, hospital admissions, and medication reviews. The information provides a comprehensive view of a patient’s condition and treatment pathways necessary to improve the quality and safety of care. The information could be used to improve the quality of care by enabling an interdisciplinary team to respond effectively to a patient’s health information, HIV test results, physician visits, and recommended treatment. This way, the care team has a broader understanding of a client’s needs and evidence-based and patient-centered interventions necessary to optimize care outcomes. It is easier to make informed decisions about quality metrics that shape clinical experiences.
Data Collection Plan
The plan is to review information related to a patient’s HIV status and progress and best practices for optimizing care outcomes. The information to be collected include progress notes, lab results, treatments, medical histories, discharge summaries, hospital admissions, and medication reviews. The information are in the hospital’s electronic health records system, which makes it easier for the interprofessional care team to access and share across the facility. On the procedure for data collection, the care team will use the EHR to exchange details about the patient’s diagnosis, progress, and improvements required to produce the best results. The time period for reviewing the process is two months, which is adequate to make informed conclusions about the appropriate treatment pathways.
The System Applications Used to Collect the Health Information
The computerized physician order entry (CPOE) is the system used to collect health information. The system is ideal based on the opportunity for physicians and nurses to enter patient’s information and share details about HIV medications, lab results, and radiology orders, and others through electronic means. Abouelmehdi et al. (2018) associated the system with enhanced efficiency, which facilitates flexible sending of information and a collaborative framework involving the nursing, pharmacy, laboratory, and radiology departments. This way, it is easier for the care team to monitor information flow while preventing unauthorized disclosure of sensitive details about patients’ HIV diagnosis, treatment, and progress.
The Flow of Health Record Information through the Information Life Cycle
The information life cycle provides the framework for accessing and sharing health information. The initial phase is identifying the systems and procedures for collection. The identified system is the Electronic Health Record (EHR), which supports a shift from paper patient records. The move enhances efficiency in collecting, processing, and storing crucial patient health information (Galetsi et al., 2019). The system facilitates easy access to demographic information, HIV test results, physician visits, and treatment. EHRs also make the care team aware of progress based on electronic notes from physician and specialist visits. Systems and procedures is among the sections from which to retrieve information about the patient’s status and patient-centered interventions implemented to optimize care outcomes. The second phase of the information flow cycle is documentation that meets standards for interoperability. The primary consideration is ensuring that systems exchange information efficiently and securely and that only authorized users access sensitive health records (Sorbie, 2020). Automated documentation enhances the ease of accessing and processing patient admission, discharge details, and other relevant details.
This proposal also accommodates the integration of health information into HIE. The process will streamline sharing of patient-level health information between doctors, nurses, pharmacists, other health care providers due to improved speed and safety of information flow. The integration will also prevent costly and redundant tests. For the fifth component of the cycle, which is storage, the electronic health record will automatically save the relevant information about patients’ HIV status and treatment pathways. Further, controlling access will involve efforts to ensure that information that goes through a doctor’s office undergoes an extensive review. Control of access will also influence retrieval of information based on the care team’s access to details about hospital stays, HIV test results, treatment, and progress reports. All information kept under the patient pseudonym with documentation containing the patient’s real name must be kept under lock and key (Abouelmehdi et al., 2018). Patient information will be protected under numerous passwords changed often and available only to those specific office members who have been trained and sworn to privacy. The last phase of the cycle is destruction, which will entail shredding, burning, pulping, or pulverizing paper records to ensure the refuse is indecipherable.
The Use of information from a HIE
Using information from a HIE allows the care team to use a secure and centralized repository of patient data aggregated across facilities and EHRs. The process makes it easier for physicians, nurses, pharmacists, and other healthcare professionals to access accurate and complete details about a patient and treatment pathways. Using information from a HIE improves the quality of patient care and enhances clinical knowledge based on opportunities to obtain, process, and share accurate and complete medical information, surveillance, disease projections, and patient satisfaction surveys. In this case, the care team recognizes the need for enhanced vigilance when submitting information to an HIE. The efforts reduce the risk of inaccurate data collection, patient matching gaps, and inefficient organizational workflows (Oachs & Watters, 2020). This way, the care team dedicate time and energy towards delivering the best, efficient, and high quality. It is easier for the care team to have a complete view of a patient’s medical and treatment history and deliver services that match clients’ expectations and organizational strategic priorities.
Personnel Required To Complete the Health Information Review
The personnel to complete the health information review include physicians, nurses, pharmacists, the nurse informaticist, and lab technicians. The group is responsible for documenting details about treatment progress and emerging issues related to the patient’s HIV status. The team requires critical thinking, analysis, and problem solving skills. Notably, the training will focus on guiding the care team to think through problems and analyze them based on efforts to enhance efficiency in processing and sharing patient health information. Data analytics skills are also crucial for the team to process raw data and interpret findings to identify improvements necessary to optimize care outcomes. There will be strategies employed to help the personnel implement the review study. The efforts will focus on providing evidence-based and patient-centered care. Training and education will allow the care team to acquire essential computer literacy skills, information literacy, and informatics management sills appropriate for accurate and complete processing and sharing of information.
Data Security Plan
Data confidentiality, privacy, and security are priorities in this plan. The goal is to remind healthcare professionals about their duty of care and the need to keep patient details confidential. The first consideration is making everyone extra vigilant when handling patient information (Tariq & Hackert, 2020). Similarly, healthcare professionals will identify parties with authorization and permission to access or share protected health information (Sorbie, 2020). Training and education on data protection will make everyone responsive to administrative, technical, and physical safeguards that ensure data integrity and confidentiality. PHI used in the medical environment will be destroyed as soon as it is done being used. Further, information entered into an EHI will be entered into the EHRs under a pseudonym and be subject to all security rules. The Health Information Technology for Economic and Clinical Health Act (HITECH) is ideal to make the team understand consequences of violations and measures relevant for securing patient health information. HIPAA privacy and security laws require healthcare providers to obtain a patient’s written consent before disclosing heath information to other parties. Information related to a patient’s HIV status is sensitive, hence the need for consistent adherence to laws on mitigating unauthorized access and sharing of patient health details.
Benchmarking Plan
The source of national data include the CDC website, which provides accurate and authoritative information on various aspects of HIV care. The data on quality measures include largely entail linkage to HIV care. The quality measures. This way, the care team makes informed decisions about best practices for handling patients throughout the care process. For instance, the benchmarks will highlight the effectiveness of care and interventions necessary to deliver safe, quality, and cost-effective patient care. The national data and quality measures will provide benchmarks for determining the hospital’s resilience in delivering quality and safe care. The data provide insights into success factors and improvements needed to deliver the best services.
For data standardization, it is important to ensure that data from multiple sources is compatible. The move will require the care team to consider the accuracy of data by authenticating sources and ensuring the information meets the intended use. Another consideration is completeness of data to avoid missing values and data records (Galetsi et al., 2019). Ensuring that data is up to date will enable the care team to make informed conclusion about patients’ linkage to HIV care. The efforts will guide the care team to eliminate challenges such as the risk of incomplete and inaccurate data collection (Galetsi et al., 2019). The emphasis is n matching patients’ details to increase the risk of mixing up patients with the same records. The data will also be compared to the benchmarking and quality standards by drawing tables and a line graph to show the variations.
Quality and Change Management Strategies
Data outcomes will be used to perform quality improvement reviews in different ways. The facility will work improve patient experience by aligning everyone’s behavior and practices with strategic priorities. The data will enable the care team to identify gaps within the system and adjustments necessary to facilitate quality improvement processes. Evidence-based best practices for policies and procedures include streamlining communication, engagement, and participation to encourage everyone to embrace changes and make informed decisions on pathways for optimizing care outcomes. Small-scale achievements will enable the team to visualize processes, structures, and procedures for producing the best outcomes in the future. Further, the care team will consider quality improvement as an iterative process that requires frequent adjustments to identify new and better frameworks for optimizing care outcomes. Best practices for departmental workflow involve communicate objectives clearly. The aim is to make the team aware of goals as incremental processes that determine short and long-term progress.
Implementation
The plan for implementing the information review study will entail assessing the situation and suggesting potential solutions for optimizing outcomes. The first step is planning by developing goals and an action plan. The team will establish a goal, which entails clear communication and ability to gauge short-term progress. For instance, the team will set goals for adherence to ART, linking patients to HIV care, and prescribing ART that match patients’ values and preferences. Briefings and meetings will allow the care team to familiarize with improvements necessary to enhance the quality and safety of patient care. A written action plan will guide the team to identify areas for improvement, resources, and effective ways of measuring progress. Two weeks is enough for the team to develop a plan and clarify goals associated with effective HIV care across the continuum.
The next step of the implementation is selecting measures to monitor progress. For instance, it is necessary to measure the time taken for the care team to get response on linkage to HIV care from a specialist’s office. A week is adequate for the team to identify the measures necessary to improve a patient’s linkage to HIV care. The plan also entails testing and refining actions to identify incremental modifications appropriate for improving information flow across the facility. A week is enough to identify adjustments relevant for linking patients to evidence-based and patient-centered services. The final step is ensuring the improvement is sustainable. Increasing the percentage of patients linked to HIV care means better experiences with regards to accessing information on evidence-based and patient-centered approaches for making progress towards improving standards of HIV care.
Conclusion
The proposed study makes the care team responsive to challenges and improvements designed to improve HIV viral load test, access to ART, adherence to ART, and linkage to effective HIV care. The efforts align with calls for patient-centered and evidence-based care designed to optimize clinical experiences. Breach of confidentiality, security, and privacy undermines the quality, cost, and safety of HIV care. In this case, this improvement plan guides the care team on the need for consistent commitment to demonstrating behaviors, attitudes, and actions that prevent them from exposing sensitive details such as diagnosis, disease progression, and patient’s demographic information.
References
Abouelmehdi, K., Beni-Hessane, A., & Khaloufi, H. (2018). Big healthcare data: Preserving security and privacy. Journal of Big Data, 5(1), 1-18. https://journalofbigdata.springeropen.com/articles/10.1186/s40537-017-0110-7
Galetsi, P., Katsaliaki, K., & Kumar, S. (2019). Values, challenges and future directions of big data analytics in healthcare: A systematic review. Social Science & Medicine, 241, 112533. https://pubmed.ncbi.nlm.nih.gov/31585681/
Gjellebæk, C., Svensson, A., Bjørkquist, C., Fladeby, N., & Grundén, K. (2020). Management challenges for future digitalization of healthcare services. Futures, 124, 1-8.
Oachs, P. K., & Watters, A. L. (2020). Health information management: Concepts, principles, and practice (6th ed.). AHIMA Press.
Sorbie, A. (2020). Sharing confidential health data for research purposes in the UK: Where are ‘publics’ in the public interest? Evidence & Policy, 16(2), 249-265. https://bristoluniversitypressdigital.com/doi/10.1332/174426419X15578209726839
Tariq, R. A., & Hackert, P. B. (2020). Patient confidentiality. StatPearls Publishing, 20. http://www.ncbi.nlm.nih.gov/books/NBK519540/