Question.1473 - Week 5: Discussion - Indexes, Registers, and Health Data Collection 22 unread replies.1818 replies. Week 5: Indexes, Registers, and Health Data Collection Indexes and registers can be automated or manual. Automated indexes and registers are computerized, which allows information to be easily and quickly retrieved for administrative planning, data collection, patient care management, quality of patient care, and the study of diseases and their outcomes. Manual indexes and registers require the posting of information to ledger cards and log books by hand, resulting in a cumbersome process when information retrieval becomes necessary. Currently, in the healthcare industry, organizations are in a transitional process with regard to the automation of indexes and registers. Some facilities are fully automated while others are still using manual systems. Still, others have hybrid systems that contain both automated and manual components as the transition to automated systems is occurring. Discuss the importance of maintaining up-to-date Indexes and Registers. Compare and contrast the differences between Automated vs Manual Indexes and Registers. Discuss the potential for the introduction of errors into both Automated vs Manual Indexes and Registers and how difficult it could be to both detect and correct errors. Discussion Guidelines: Each week you will have a topic to answer and then respond to at least two classmates. This means, that if you follow the minimum posting requirements you will have one main substantive answer in each thread, and one response to at least two classmates. Altogether 3 posts, 2 of which will be on different days of the week. Be sure to check in if you have questions. Grading rubric for discussion posting per thread: Main post - 10 points (high quality) Response posts - 10 points (total of all responses) Post by Wednesday - 5 points
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Importance of maintaining up-to-date Indexes and Registers The significant importance of maintaining up-to-date Indexes and Registers within a healthcare industry infers its possibility to offer high-quality care and services. The wider impact of automation within healthcare in terms of managing healthcare records requires rendering of efficient data collection process. In this context, the aspects of medical record indexing play a significant role within the healthcare industry (Ehrenstein et al. 2019). This further elucidates the classification and organization of medical records leveraging access to patient data can be made in a shorter pace of time, in addition to improved patient care and effective management of healthcare documentation and patient records. Automated vs Manual Indexes and Registers The similarities between automated and manual indexes and registers can be analyzed in terms of their wider usage to conduct the process of search in a time-effective manner. From the perspective of the care industry, the alignment of both automated and manual indexes and registers enables to scanning of a larger volume of automated data in compliance with manpower support as a result of manual typing (Yin et al. 2022). However, the major differences between automated and manual indexes and registers can be determined in terms of cost, where manual pertains to be expensive as a result oflabor intensive and automated is dramatically inexpensive. Besides, manual leverages generic terminology and smaller vocabulary, whereas automated considers words in indexable material (Keyser, 2020). Errors of Automated vs Manual Indexes and Registers Automated indexes and registers are dramatically prone to inaccuracies like incorrectly interpreting context or misleading terminologies, which might give rise to inaccurate index words. Due to this handling of automated errors is a highly tricky and tedious task as this might result in wrong format shifting, making it time-consuming with the retrieval of poor-quality data. On the other hand, manual indexes and registers being time-consuming often result in documents getting demanded, lost or misplaced (Yin et al. 2022). As a result of such errors, detection and correction tend to be complicated tasks because retrieval of information in these aspects means proceeding from scratch. References Ehrenstein, V., Kharrazi, H., Lehmann, H., & Taylor, C. O. (2019). Obtaining Data From Electronic Health Records. In www.ncbi.nlm.nih.gov. Agency for Healthcare Research and Quality (US). https://www.ncbi.nlm.nih.gov/books/NBK551878/ Keyser, P. de . (2020). Automatic indexing versus manual indexing. Elsevier EBooks, 39–63. https://doi.org/10.1016/b978-1-84334-292-2.50002-7 Yin, A. L., Guo, W. L., Sholle, E. T., Rajan, M., Alshak, M. N., Choi, J. J., Goyal, P., Jabri, A., Li, H. A., Pinheiro, L. C., Wehmeyer, G. T., Weiner, M., Safford, M. M., Campion, T. R., & Cole, C. L. (2022). Comparing automated vs. manual data collection for COVID-specific medications from electronic health records. International Journal of Medical Informatics, 157, 104622. https://doi.org/10.1016/j.ijmedinf.2021.104622More Articles From Strategic Management
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