BHA FPX 4106 assessment 3 Healthcare Information Review Proposal Student Name  Capella University  BHA-FPX4106

  Introduction

This proposal aims to assess the quality of care provided to female breast cancer patients aged 30-60 years. Enhancing patient care quality is vital, especially for cancer patients who grapple not only with the disease’s physical toll but also with mental trauma, stress, fear, and uncertainty (Mahapatra, Nayak, & Pati, 2016). This proposal will primarily focus on evaluating the radiation therapy and diagnostic imaging or biopsies received by patients. By comparing our office data with national averages and external departmental data, we seek to identify areas for improvement and enhance patient care quality.  Data Collection Plan Data collection will commence after establishing benchmarks, with national averages serving as our reference point. We will gather data from external departments, including hospital admissions and oncology partners. The collected information, focusing on age, gender, and cancer diagnosis specifics, is crucial for our proposal’s relevance (Alexandrou & Mentzas, 2019). Due to data availability challenges, gathering comprehensive information may take 2-3 weeks. Subsequently, a comparison of our office data with external sources will facilitate care quality assessment and inform necessary actions.  Data Security Plan Ensuring patient information security is paramount, necessitating compliance with HIPAA regulations. Obtaining valid authorization for the use of Protected Health Information (PHI) and securing the Electronic Health Record (EHR) system are initial steps (Oachs & Watters, 2020B). All patient data will be exclusively managed through the EHR system, with staff instructed against discussing patient information via insecure channels. Post-study, redundant patient data will be thoroughly deleted by the IT department to maintain HIPAA compliance and patient confidentiality.  Benchmarking Plan Utilizing data from the Centers for Disease Control and Prevention (CDC) ensures our benchmark data aligns with national standards (AHRQ, n.d.). Although our office serves fewer patients than national averages, comparing our data with these standards remains informative. Specifically, we’ll focus on breast cancer diagnostics and radiation therapy within the 30-60 age bracket to ensure effective benchmarking.  Data Analysis and Improvement Strategies Data analysis will drive improvements in patient care by identifying areas of discrepancy between our clinic and national benchmarks. Prompt treatment implementation and diagnosis efficiency will be assessed to enhance patient outcomes. Management and senior leadership will utilize evaluated data to initiate necessary changes in diagnosis techniques, treatment plans, and patient education, ensuring compliance with established standards (Alexandrou & Mentzas, 2019).  Implementation Following data evaluation and approval, implementing changes entails educating staff on revised processes and policies. The training duration will depend on the extent of required adjustments, ranging from 1-2 weeks for minor changes to a month for comprehensive restructuring. Supervisors will oversee staff training and subsequent implementation, ensuring smooth transitions and minimizing errors that could compromise patient safety and satisfaction.  Conclusion Successful implementation of this proposal should lead to improved patient satisfaction and care quality for breast cancer patients, potentially benefiting patients with other diagnoses. Systematic review and implementation of changes are vital to ensure organizational efficiency and patient well-being. By executing changes in stages and addressing identified weaknesses, our goal of enhancing patient care quality can be realized.  References Agency for Healthcare Research and Quality. (n.d.). Comparing Quality Scores to a State or National Average. AHRQ. Retrieved from https://www.ahrq.gov/talkingquality/translate/compare/choose/average.html  Alexandrou, D., & Mentzas, G. (2019). Research Challenges for Achieving Healthcare Business Process Interoperability. International Conference on eHealth, Telemedicine, and Social Medicine, 58-65. DOI: 10.119/Etelemed.2009.29.