You have been asked to lead a Clinical Documentation Improvement (CDI) initiative. This small rural hospital is a 30-bed, fully paper-health dependent facility. Although the purchase and implementation of an EHR is not feasible at this time due to the accompanying price tag and other impacting factors, the hospital administrator recognizes although the EHR is currently out of reach, the importance of developing a CDI program is ultimately, a step in the right direction. Revisit your Week 3 “Health Record Documentation Policy” (paper-based record policy only) and Week 4 “Data Quality Beyond Borders: Modernizing Health Information Infrastructure Using AHIMA’s Data Quality Model” assignments that has been critiqued by your Professor. Using both materials from weeks three and four, devise a five (5) to seven (7) page briefing to the Chief of Staff also known as the Chief Medical Officer which outlines the following listed below.
- Overview/description of the Clinical Documentation Improvement (CDI)
- The benefits of implementing a CDI program
- Consequences of not implementing such a program
- List and briefly discuss at least six elements of a sound health record; from the perspective of a CDI program emphasis on quality documentation practices
- The significant role of physicians as it relates to timely, accurate, complete and legible health record documentation practices and the timely response to physician queries within 48-72 hours upon receipt. Outline the process of the department’s physician query process
- How the HIM department will lead the initiative. How the HIM staff can/will assist the Chief of Staff and the entire pool of practicing physicians
- Include an attachment of your policy and checklist (from weeks three (3) and four (4)) with a brief explanation as an interpretation of both (not counted towards the five (5) to seven (7) page requirement; list as an appendix)
- Finally, devise a 1-page six (6) month timeline which outlines the planning, designing and implementation of your proposed CDI program (not counted towards the five (5) to seven (7) page requirement; list as an appendix)
Clinical Doc. Improvement
Running head: MODERNIZING HEALTH INFORMATION INFRASTRUCTURE 0 Modernizing Health Information Infrastructure Karese Holmes HIMS 655 Health Data Management Modernising Health Information Infrastructure According to Davoudi et al., (2015) healthcare leaders experience challenges such as payment reform, exchange of health information, among others. Ideally, the nexus in the challenges is to ensure that data remains a trusted source that can be exchanged, shared, and accessed with ease. The American Health Information Management Association offers the basis of information and data governance through some fundamental principles. This principle includes accountability, transparency, integrity, protection, compliance, availability, retention, and disposition. The principles are critical for the data quality management model. Data quality management refers to the business process that guarantees the integrity of organisation information during the analysis, warehousing, application, and collection processes. The healthcare industry has some task to ensure a robust objective of the healthcare standards. Significant limitation of the models Data should apply security controls to offer data protection to guarantee data quality management in the American Health Information Management Association. Ideally, data needs to be protected in backup environments and storage. Additionally, data needs tracking using confidential audit trail. Besides, the entire data should ensure that the entire data scope is gathered while documenting the resulting limitations (Davoudi et al., 2015). The Canadian Institute for Health Information has the primary goal of ensuring that the framework for data quality management maintains and achieves a high degree of quality and meets the requirements for data users. Notwithstanding the publication of the national pollutant release inventory is mandatory as enshrined under the Environmental Protection Act in Canada (“Environment and Climate Change Canada”, 2016). Recommendation for submitting AHIMA’s global health workforce (AHIMA Public Policy Statement (2012) reveals that the American Health Information Management Association recommends that the entire healthcare entities should satisfy the compliance for implementing healthcare standards. Therefore, AHIMA should ensure that the health department and human services reconfirm its obligation to employ the data quality management standards. Additionally, the AHIMA should include its entire data in the electronic health records. This concept will ensure that the entire Americans benefit from the abundant improvements in the classification of the healthcare records. AHIMA needs accurate healthcare information to support national healthcare initiatives including value-based purchases, patient safety, and quality measurements. It is essential that AHIMA should consider the healthcare transition as fundamental; to the healthcare providers in the United States. Concerns about use and development of data quality checklists Data quality checklists are offered as a recommended tool to complete the data quality assessment. In essence, data quality checklists should use a different tool for documenting and conducting data quality assessments. Data quality checklists are essential in assessing the entire aspects of data quality. Besides, it offers a convenient platform for documenting the data quality assessment findings. However, the data quality checklists should ensure that they recognise the purpose of assessing the performance indicator (Bruce, 2014). Additionally, the data quality checklists have to ensure that it records the titles and names of the individuals during the assessment process. In conclusion, healthcare leaders continue to experience challenges in the healthcare sector. AHIMA offers the basis for information governance through the use of fundamental principles. The fundamental principles for data quality management include accountability, transparency, integrity, protection, compliance, availability, retention, and disposition. AHIMA should track its data using the confidential audit trail. Conversely, the Canadian Health Institute is limited to ensuring that its data quality management results in a high degree of quality to meet the requirements for its entire data usage. AHIMA is recommended to ensure that its entire healthcare entities satisfy the compliance in implementing the healthcare standards. Data Quality Management Model Data Quality Characteristics Data Quality Measue(s): YES NO Comments Patient name is list correctly on all documents Patient DOB/SNN (LAST 4) listed correctly on all documents Financial Information listed Consent/Authorizations forms are signed Current Treatment History Patient Progress Notes Physician orders and prescriptions Lab reports Medication List HIPAA Notice/Patient Privacy Rights References American Health Information Management Association Public Policy Statement. (2012). Retrieved from http://www.mnhima.org/ICD10Page/ICD10PolicyFinal.pdf Bruce, K. (2014). Field Guide for Data Quality Management. Washington, DC. Retrieved from http://www.pactworld.org/sites/default/files/DQM%20Manual_FINAL_November%2020 14.pdf Davoudi, S., Dooling, J., Glondys, B., Jones, T., Kadlec, L., & Overgaard, S. et al. (2015). Data Quality Management Model (2015 Update). Journal of AHIMA, 86(10), expanded web version-. Retrieved from http://bok.ahima.org/doc?oid=107773#.V_GvvfArKUk
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