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Journal articles on the topic 'Time management methods'

Author: Grafiati

Published: 13 June 2021

Last updated: 15 February 2022

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1

Bogenberger, K., and S. Weikl. "Quality Management Methods for Real-Time Traffic Information." Procedia - Social and Behavioral Sciences 54 (October 2012): 936–45. http://dx.doi.org/10.1016/j.sbspro.2012.09.809.

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2

Ulusoy, Özgür. "Incorporating real-time scheduling methods into database management systems." Journal of Information Science 21, no. 4 (August 1995): 324–28. http://dx.doi.org/10.1177/016555159502100409.

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3

Noprianty, Richa. "TIME LEARNING MANAGEMENT NURSING STUDENTS USING TIME MANAGEMENT QUESTIONNAIRE (TMQ) IN IMPLEMENTING PROBLEM BASED LEARNING (PBL) METHODS." Jurnal Pendidikan Kedokteran Indonesia: The Indonesian Journal of Medical Education 8, no. 1 (March 30, 2019): 39. http://dx.doi.org/10.22146/jpki.44861.

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Background: The paradigm shift of learning method centered on the students has been applied to several universities, one of them by using Problem Based Learning (PBL) method. The importance of good time management will produce readiness to face the PBL process because in the PBL process using self directed learning where a student is required to be able to manage the time independently. The purpose of this study is to know the time management of nursing students by using Time Management Questionnaire (TMQ) in implementing Problem Based Learning (PBL) method in STIKes Dharma Husada Bandung.Method : The type of research is quantitative with the model of analytic design and cross sectional approach. The sample of research is student of class of 2014 and 2015 of Nursing Study Program of 169 students. The research instrument with Time Management Questionnare (TMQ) developed by Briton & Tesser (1991) has been tested its validity and reliability with Alpha Cronbach 0,800 by Allay & Kocak (2002). The questionnaire consists of short-term planning, attitude toward time and long-term planning.Result : Most respondents have good time management that is 53.3%. For short-term planning most have good time management of 58.6% with the highest mean of 4.25 on "Put the priority first" points, the attitude towards time mostly has good time management of 61.5% with the highest mean of 4.10 at the point of "responsible for time for yourself", and long-term planning mostly has a good time management of 50.9% with the highest mean of 3.64 on points "if having a job, preferring installments in the task".Conclusion: There needs to be a re-review of the implementation of PBL method, especially on the weighting of self or group tasks so that students can make long-term planning that can review the learning process.

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4

Desrosiers, Jacques, Francois Soumis, Martin Desrochers, and Michel SauvéGerad. "Methods for routing with time windows." European Journal of Operational Research 23, no. 2 (February 1986): 236–45. http://dx.doi.org/10.1016/0377-2217(86)90243-2.

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5

Caporin, Massimiliano, and Giuseppe Storti. "Financial Time Series: Methods and Models." Journal of Risk and Financial Management 13, no. 5 (April 28, 2020): 86. http://dx.doi.org/10.3390/jrfm13050086.

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The statistical analysis of financial time series is a rich and diversified research field whose inherent complexity requires an interdisciplinary approach, gathering together several disciplines, such as statistics, economics, and computational sciences. This special issue of the Journal of Risk and Financial Management on “Financial Time Series: Methods & Models” contributes to the evolution of research on the analysis of financial time series by presenting a diversified collection of scientific contributions exploring different lines of research within this field.

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6

Haffner, Eric W., and Robert J. Graves. "Managing new product time to market using time-cost trade-off methods." Omega 16, no. 2 (January 1988): 117–24. http://dx.doi.org/10.1016/0305-0483(88)90042-4.

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7

Poncela, Pilar. "Time series analysis by state space methods." International Journal of Forecasting 20, no. 1 (January 2004): 139–41. http://dx.doi.org/10.1016/j.ijforecast.2003.11.005.

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8

Baker, Lee C., and Jeremy Howard. "Winning methods for forecasting tourism time series." International Journal of Forecasting 27, no. 3 (July 2011): 850–52. http://dx.doi.org/10.1016/j.ijforecast.2011.03.003.

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9

Decker, Stephanie. "Organizations in Time: History, Theory, Methods." Business History Review 90, no. 2 (2016): 333–37. http://dx.doi.org/10.1017/s0007680516000386.

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The title of this edited volume is slightly misleading, as its various contributions explore the potential for more historical analysis in organization studies rather than addressing issues associated with time and organizing. Hopefully this will not distract from the important achievement of this volume—important especially for business historians—in further expanding and integrating business history into management and organization studies. The various contributions, elegantly tied together by R. Daniel Wadhwani and Marcelo Bucheli in their substantial introduction (which, by the way, presents a significant contribution in its own right), opens up new sets of questions, especially in terms of future methodological and theoretical developments in the field. This book also reflects the changing institutional location of business historians, who increasingly make their careers in business schools rather than history departments, especially in Europe, reopening old questions of history as a social science. There have been several calls to teach more history in business education, such as the Carnegie Foundation report (2011) that found undergraduate business education too narrow in focus and highlighted the need to integrate more liberal arts teaching into the curriculum. However, in the contemporary research-driven environment of business and management schools, historical understanding is unlikely to permeate the curriculum if historical analysis cannot first deliver significant theoretical contributions. This is the central theme around which this edited volume revolves, and it marks a milestone in this ongoing debate. (In the spirit of full disclosure, I should add that even though I did not contribute to this volume, I have coauthored with several of its contributors and view this book as central to my current research practice.)

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10

Kouali, Georgia, and Petros Pashiardis. "Time management profiles of Cypriot school principals: a mixed-methods approach." International Journal of Educational Management 29, no. 4 (May 11, 2015): 492–518. http://dx.doi.org/10.1108/ijem-02-2014-0019.

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Purpose – The purpose of this paper is to present the results of a piece of research concerning the time management of Cypriot primary school principals. Time management refers to the interrelation of five independent variables: the various tasks principals perform, their frequency, the degree of accomplishment of those tasks, the use of time management techniques and time management style (from monochronic to polychronic). Design/methodology/approach – Quantitative methods were used (questionnaire) together with qualitative methods (observation, interviews, collection of artifacts), in order to obtain richer, deeper data and view multiple angles of the same phenomenon. Findings – The results of cluster analysis indicated three different time management profiles/types of principals: The Centralized Monochrons, the Procrastinative Managers and the Decentralized Polychrons. One basic conclusion is that the principals who adopt the practices of the Decentralized Polychrons manage better their time. Practical implications – The three time management profiles of principals are described, analysed, and discussed in order to reach conclusions about the selection, training, and placement of school principals. Through the description of the everyday practice of Cypriot principals useful information concerning school leadership and management are also provided. Finally, the conclusions of this research may prove useful for principals, because they are provided with the opportunity to rethink and evaluate their own time management and effectiveness of their daily practices. Originality/value – The creation and description of the three time management profiles is the main contribution of this piece of research, since there are not any time management types-profiles registered in the bibliography, which were produced with the use of scientific instruments and procedures.

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11

Groeneweg, Jacco, Sofia Caires, and Kathryn Roscoe. "TEMPORAL AND SPATIAL EVOLUTION OF EXTREME EVENTS." Coastal Engineering Proceedings 1, no. 33 (October 15, 2012): 9. http://dx.doi.org/10.9753/icce.v33.management.9.

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In this study two statistical methods for computing time- and space-evolving extreme events are implemented and assessed. The implementation and application of the methods are carried out with a view towards the safety assessment of water defences. With this type of application in mind, the methods are used to produce time- and space-varying extreme wind fields, which are needed to force wave and hydrodynamic models. Furthermore, the results of the two methods are compared and effects of the choice of distribution, threshold and reference location on the resulting wind fields are assessed. Although the wind fields produced by the methods show more erratic spatial variations, due to the associated uncertainties, than those of the observed wind fields, they seem realistic and can in principle be used to drive wave and hydrodynamic models. However, an assessment of the results of these statistical methods in terms of the underlying physics still needs to be carried out and is part of future work.

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12

Chamberlin, Graeme. "Methods Explained: Real time data." Economic & Labour Market Review 4, no. 6 (June 2010): 68–73. http://dx.doi.org/10.1057/elmr.2010.84.

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13

Paul, Anand. "Real-Time Power Management for Embedded M2M Using Intelligent Learning Methods." ACM Transactions on Embedded Computing Systems 13, no. 5s (December 15, 2014): 1–22. http://dx.doi.org/10.1145/2632158.

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14

Ghorbel, Ahmed, and Abdelwahed Trabelsi. "Energy portfolio risk management using time-varying extreme value copula methods." Economic Modelling 38 (February 2014): 470–85. http://dx.doi.org/10.1016/j.econmod.2013.12.023.

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15

Takami Narita, Taynara, Caio Henrique Alberconi, Fernando De Souza, and Lucas Ikeziri. "Comparison of PERT/CPM and CCPM Methods in Project Time Management." Revista Gestão da Produção Operações e Sistemas 16, no. 03 (September 23, 2021): 01–20. http://dx.doi.org/10.15675/gepros.v16i3.2815.

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Purpose: Evaluate and compare PERT/CPM and Critical Chain Project Management (CCPM) techniques, from the Theory of Constraints (TOC), in relation to indicators of delivery time estimation and reliability in meeting established deadlines. Theoretical framework: The research is based on the time management theory established by the PERT/CPM and CCPM methods. Design/methodology/approach: This work has an experimental character, using a method of computer simulation by applying the Promodel software. A fictitious project environment managed by PERT/CPM and CCPM techniques was modeled in order to evaluate and compare their performances in terms of estimation of, and compliance with, project completion deadlines. Findings: The results obtained showed that the CCPM method proved to be more effective in reducing project completion time and meeting established deadlines. Conversely, the PERT/CPM method increased planned project completion time by 189%. Research, Practical & Social implications: Many managers assume that the best approach to project planning, especially when aiming for short and reliable deadlines, is to allocate margins of safety to each scheduled activity. This research reinforced the already widely held perception of TOC that, due to certain ordinary human behaviors, local optimizations do not guarantee, and usually adversely effect, good global results. Originality/value: There is a lack of research comparing PERT/CPM and CCPM techniques through modeling and computer simulations of project environments subjected to certain degrees of uncertainty, particularly in terms of performance variables such as those studied here. The results of this research, therefore, address this opportunity, bringing to light comparative scenarios and explanations for the different behaviors observed. Keywords: Computational Simulation; Project Management; Goldratt; Critical Chain; CCPM; PERT/CPM.

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16

Hejducki, Zdzisław, and Łukasz Łodożyński. "Modeling of construction process scheduling with Time Coupling Methods." MATEC Web of Conferences 251 (2018): 05011. http://dx.doi.org/10.1051/matecconf/201825105011.

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The topic of the paper is referred to optimization model for multiobjective solutions for construction management. It is known in literature as Time Coupling Methods (TCM). It presents another approach to scheduling methods from known methods like LSM, CPM/PERT, LOC, RSM. TCM is based on couplings that bounds activities in technology and management. The new modifications to TCM will be presented that add flexibility when dealing with complex civil engineering problems.

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17

Azarenkova, Galyna, Olena Golovko, and Kateryna Abrosimova. "Management of enterprise’s financial sustainability and improvement of its methods." Accounting and Financial Control 2, no. 1 (May 8, 2018): 1–14. http://dx.doi.org/10.21511/afc.02(1).2018.01.

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The article is dedicated to the solution of the relevant issue, concerning management of enterprise`s financial sustainability. Financial sustainability assessment is one of the most important principles of enterprise`s activity, which provides information about financial capabilities of the company at the time of its evaluation and for the future. It is a requirement for the enterprise activity, which provides a high level of competitiveness, efficiency and intensity. Thus, the restoration and strengthening of financial sustainability is a priority task for the enterprise, a basic precondition for its effective functioning. The purpose of the research is to analyze financial sustainability and to improve the methods and approaches of its evaluation. The following methods were used in this research: financial and economic analysis, economic and mathematical modeling, analysis and synthesis, comparison. The main results of the study are following: the theoretical and essential characteristics of enterprise financial sustainability has been determined; the financial status of PJSC “Turboatom” has been analyzed; the taxonomic index of financial sustainability has been calculated and the forecast of its significance has been made, the approaches to increase enterprise financial sustainability have been proposed.

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18

Tzouramanis, Theodoros, Michael Vassilakopoulos, and Yannis Manolopoulos. "Benchmarking access methods for time-evolving regional data." Data & Knowledge Engineering 49, no. 3 (June 2004): 243–86. http://dx.doi.org/10.1016/j.datak.2003.08.008.

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19

Ord, Keith. "The forecasting accuracy of major time series methods." International Journal of Forecasting 2, no. 1 (January 1986): 119–21. http://dx.doi.org/10.1016/0169-2070(86)90038-5.

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20

De Livera, Alysha M. "Exponentially weighted methods for multiple seasonal time series." International Journal of Forecasting 26, no. 4 (October 2010): 655–57. http://dx.doi.org/10.1016/j.ijforecast.2010.05.010.

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21

Brierley, Phil. "Winning methods for forecasting seasonal tourism time series." International Journal of Forecasting 27, no. 3 (July 2011): 853–54. http://dx.doi.org/10.1016/j.ijforecast.2011.03.004.

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22

Salles, Rebecca, Kele Belloze, Fabio Porto, Pedro H. Gonzalez, and Eduardo Ogasawara. "Nonstationary time series transformation methods: An experimental review." Knowledge-Based Systems 164 (January 2019): 274–91. http://dx.doi.org/10.1016/j.knosys.2018.10.041.

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23

Filho, Moacir Godinho, and Rogerio de Avila Ribeiro Junqueira. "Chinese Postman Problem (CPP): solution methods and computational time." International Journal of Logistics Systems and Management 7, no. 3 (2010): 324. http://dx.doi.org/10.1504/ijlsm.2010.035038.

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24

Shahabuddin, Syed. "Modelling and selecting among multiple time series methods." International Journal of Operational Research 8, no. 3 (2010): 313. http://dx.doi.org/10.1504/ijor.2010.033542.

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25

Kinable, Joris, Andre A. Cire, and Willem-Jan van Hoeve. "Hybrid optimization methods for time-dependent sequencing problems." European Journal of Operational Research 259, no. 3 (June 2017): 887–97. http://dx.doi.org/10.1016/j.ejor.2016.11.035.

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26

Bagtzoglou, Amvrossios C. "On the Nonlocality of Reversible-Time Particle Tracking Methods." Environmental Forensics 4, no. 3 (September 2003): 215–25. http://dx.doi.org/10.1080/713848511.

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27

Arditi, David, and Thanat Pattanakitchamroon. "Analysis Methods in Time-Based Claims." Journal of Construction Engineering and Management 134, no. 4 (April 2008): 242–52. http://dx.doi.org/10.1061/(asce)0733-9364(2008)134:4(242).

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28

Arroyo, Javier, and Carlos Maté. "Forecasting histogram time series with k-nearest neighbours methods." International Journal of Forecasting 25, no. 1 (January 2009): 192–207. http://dx.doi.org/10.1016/j.ijforecast.2008.07.003.

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29

Alyushin, M. V., A. M. Alyushin, and M. E. Atkina. "Direct and Indirect Methods of the NPP Management Operator Reaction Time Measuring." Global Nuclear Safety 13, no. 1 (March 2017): 93–101. http://dx.doi.org/10.26583/gns-2017-01-11.

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30

Kulik, Ernest J., and Michael C. Havener. "Environmental project management using fast-track methods to save time and money." Remediation Journal 5, no. 3 (June 1995): 45–54. http://dx.doi.org/10.1002/rem.3440050305.

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31

Galadíková, Andrea, and Norbert Adamko. "Simulation-based methods to support the real-time management of railways nodes." Transportation Research Procedia 55 (2021): 1345–52. http://dx.doi.org/10.1016/j.trpro.2021.07.119.

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32

Li, Haifeng, Ning Zhang, Jianming Zhu, Huaihu Cao, and Yue Wang. "Efficient frequent itemset mining methods over time-sensitive streams." Knowledge-Based Systems 56 (January 2014): 281–98. http://dx.doi.org/10.1016/j.knosys.2013.12.001.

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33

Teo, W. F., and B. G. Dale. "Self-assessment: Methods, management and process." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 211, no. 5 (May 1, 1997): 365–75. http://dx.doi.org/10.1243/0954405971516347.

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Self-assessment is a method for reviewing the activities and performance of an organization. This paper reports the findings of a study in four organizations of their management of this process. Each company followed the key self-assessment stages of planning, developing awareness, implementation and review but carried out the process in a different manner. The level of total quality management (TQM) maturity, available resources and organizational culture were the main factors for the differences. The key to successful self-assessment is effective management and the use of a team to manage the process. The most important activities were identified as: selection of a suitable model, appropriate approach(es) for the assessment, provision of appropriate training, monitoring the progress of improvement actions, establishment of a ‘closed-loop’ structure for the improvement cycle and integration of improvement with the strategic business plan. It is also pointed out that self-assessment is not without difficulties, including scarcity of time, overemphasis on scoring and scores, failing to follow-up improvement actions and lack of communication.

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34

Lyalyuk, Elena, Andre Lyalyuk, and Alexandr Polishchuk. "Use of time management methods by students for self study at the university." Health and Safety Pedagogy 5, no. 1 (2020): 18–25. http://dx.doi.org/10.31649/2524-1079-2020-5-1-018-025.

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The concept of time management and its importance for students during independent study at the university is considered in the article. The existing methods of time management are analyzed and their essence is revealed. Each student can develop their own method of time management based on general rules and principles, taking into account their style and rhythm of life, priorities, personal qualities, strengths and weaknesses. The analysis of use of methods of time management by students is made. Practical recommendations for improving the efficiency of time management methods are offered. Time management is aimed at organizing their own and working time. The student at the university must be aware of the correct distribution of time in accordance with personal interests and interests of work.During self-study, you need to use the time with the maximum number of tasks, divided into intermediate tasks with small breaks, which will not lead to fatigue and overload. To do this, you need to have time for rest and healthy sleep. The effective implementation of the methods of "time management" depends on a person's consciousness and his desire to work rationally for himself. To solve the problems of time management among students, you can build a wheel of life, which will help determine the main priorities of life, optimize the use of time and direct it to productive self-study. With the help of the life wheel of balance, you can look at your life from the side and find out what is missing and what is in excess. It will help to understand and solve some problems.Periodic performance of self-audit and analysis of the managerial personality improves the rational use of time and its allocation for self-study

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Choi, Kunhee, Junseo Bae, Yangtian Yin, and Hyun Woo Lee. "ACT 2 : Time–Cost Tradeoffs from Alternative Contracting Methods." Journal of Management in Engineering 37, no. 1 (January 2021): 04020091. http://dx.doi.org/10.1061/(asce)me.1943-5479.0000855.

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36

Lee, Geun-Cheol. "Real-time order flowtime estimation methods for two-stage hybrid flowshops." Omega 42, no. 1 (January 2014): 1–8. http://dx.doi.org/10.1016/j.omega.2013.02.004.

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37

Vasil'ev, Mikhail Aleksandrovich. "Stress management methods in firearms training." Современное образование, no. 2 (February 2021): 25–35. http://dx.doi.org/10.25136/2409-8736.2021.2.35845.

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The subject of this research is the development of stress management methods for students in preparatory stage of firearms training. The object of this research is the formation of psychological resilience and improvement of firearms handling skills among the students of educational institutions of the Ministry of Internal Affairs of the Russian Federation. Special attention is given to individual and group approaches towards working with students of training groups at the preparatory stage as the basis for successful completion of the course of firearms training. Emphasis is placed on implementation of stress management techniques in to the practice of firearms training classes throughout the entire training course. The author develops the most effective methods of psychological and pedagogical correction of learning activity of the students of educational institutions of the Ministry of Internal Affairs of the Russian Federation at the stage of formation of firearms handling skills. Particular attention is turned to approbation of such anti-stress techniques for psychological stimulation of students during firearms training classes. The use of these techniques allowed prompted the development of solid skills of firearms hanging and successful stress management in a short period of time.  Special focus is made within the framework of teaching stress management techniques is made self-analysis. Research methodology leans on the comprehensive approach towards examining the methods of preparing internal affairs officers. Practical importance of this research lies in development of the most effective methods for acquisition of firearms handling skills.

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38

Makridakis, Spyros, Evangelos Spiliotis, and Vassilios Assimakopoulos. "The M4 Competition: 100,000 time series and 61 forecasting methods." International Journal of Forecasting 36, no. 1 (January 2020): 54–74. http://dx.doi.org/10.1016/j.ijforecast.2019.04.014.

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Zhang, Yihong, Panote Siriaraya, Yukiko Kawai, and Adam Jatowt. "Predicting time and location of future crimes with recommendation methods." Knowledge-Based Systems 210 (December 2020): 106503. http://dx.doi.org/10.1016/j.knosys.2020.106503.

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40

Bartusevics, Arturs, Leonids Novickis, and Stefan Leye. "Models and Methods of Software Configuration Management." Applied Computer Systems 17, no. 1 (May 1, 2015): 53–59. http://dx.doi.org/10.1515/acss-2015-0008.

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Abstract The paper provides collection of experience of developing models and methods for implementation of software configuration management process. Nowadays, during the age of agility, startup of new software development projects is like an explosion. Sometimes, in a few days a customer is willing to get the first release, but formalized and reusable process for its creating is not ready yet. Software configuration management controls the evolution of software items and supports building and deployment process for product releases. Models and methods for implementation of software configuration management are presented in the paper. Unlike other approaches, the provided models and methods are related to decrease software configuration management implementation time in new projects. The paper provides a simplified use case to illustrate practical application of the mentioned methods and models.

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Kankhva, Vadim Sergeevich, and Boris Levonovich Efremyan. "Analysis and estimation of risk management methods." Vestnik MGSU, no. 5 (May 2016): 107–18. http://dx.doi.org/10.22227/1997-0935.2016.5.107-118.

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At the present time risk management is an integral part of state policy in all the countries with developed market economy. Companies dealing with consulting services and implementation of the risk management systems carve out a niche. Unfortunately, conscious preventive risk management in Russia is still far from the level of standardized process of a construction company activity, which often leads to scandals and disapproval in case of unprofessional implementation of projects. The authors present the results of the investigation of the modern understanding of the existing methodology classification and offer the authorial concept of classification matrix of risk management methods. Creation of the developed matrix is based on the analysis of the method in the context of incoming and outgoing transformed information, which may include different elements of risk control stages. So the offered approach allows analyzing the possibilities of each method.

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Bo, Li, Liu Chengyu, Zhang zhengshuai, and Li Guoyi. "Research on the management of seismic data quality assessment methods." E3S Web of Conferences 253 (2021): 01072. http://dx.doi.org/10.1051/e3sconf/202125301072.

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The quality of real-time waveform data from seismic networks not only directly affects the accuracy of seismic positioning accuracy, but also has an irreversible impact on the credibility of in-depth research findings in seismic disciplines. The article introduces an engineering perspective evaluation method for seismic data quality assessment, and uses real-time waveform data from the seismic station network in Shandong to form a visualization report on the quality of seismic quasi-real-time data, so as to determine the data quality of the seismic station network more intuitively and accurately.

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43

Novoa, Clara M., and Francis Mendez. "Bootstrap methods for analyzing time studies and input data for simulations." International Journal of Productivity and Performance Management 58, no. 5 (June 19, 2009): 460–79. http://dx.doi.org/10.1108/17410400910965724.

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44

Conroy, Robert, and Robert Harris. "Consensus Forecasts of Corporate Earnings: Analysts' Forecasts and Time Series Methods." Management Science 33, no. 6 (June 1987): 725–38. http://dx.doi.org/10.1287/mnsc.33.6.725.

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45

Rantala, Jukka, and Harri Hietikko. "An application of time series methods to financial guarantee insurance." European Journal of Operational Research 37, no. 3 (December 1988): 398–408. http://dx.doi.org/10.1016/0377-2217(88)90203-2.

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46

Gao, H. Oliver, and Lynn Schooley Johnson. "Methods of analysis for vehicle soak time data." Transportation Research Part A: Policy and Practice 43, no. 8 (October 2009): 744–54. http://dx.doi.org/10.1016/j.tra.2009.07.002.

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S., Palani, and M. Kavitha. "A Comprehensive Analysis for Retinal Image Classification Methods using Real-Time Database." International Journal of Business Information Systems 35, no. 1 (2020): 1. http://dx.doi.org/10.1504/ijbis.2020.10016336.

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Kavitha, M., and S. Palani. "A comprehensive analysis for retinal image classification methods using real-time database." International Journal of Business Information Systems 34, no. 2 (2020): 229. http://dx.doi.org/10.1504/ijbis.2020.108346.

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49

Ye, Nong, Xueping Li, Toni Farley, and Xiaoyun Xu. "Job scheduling methods for reducing waiting time variance." Computers & Operations Research 34, no. 10 (October 2007): 3069–83. http://dx.doi.org/10.1016/j.cor.2005.11.015.

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Fenton, S. H., S. Low, K. J. Abrams, and K. Butler-Henderson. "Health Information Management: Changing with Time." Yearbook of Medical Informatics 26, no. 01 (2017): 72–77. http://dx.doi.org/10.15265/iy-2017-021.

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Abstract:

Summary Objective: With the evolution of patient medical records from paper to electronic media and the changes to the way data is sourced, used, and managed, there is an opportunity for health information management (HIM) to learn and facilitate the increasing expanse of available patient data. Methods: This paper discusses the emerging trends and lessons learnt in relation with the following four areas: 1) data and information governance, 2) terminology standards certification, 3) International Classification of Diseases, 11th edition (ICD-11), and 4) data analytics and HIM. Results: The governance of patient data and information increasingly requires the HIM profession to incorporate the roles of data scientists and data stewards into its portfolio to ensure data analytics and digital transformation is appropriately managed. Not only are terminology standards required to facilitate the structure and primary use of this data, developments in Canada in relation with the standards, role descriptions, framework and curricula in the form of certification provide one prime example of ensuring the quality of the secondary use of patient data. The impending introduction of ICD-11 brings with it the need for the HIM profession to manage the transition between ICD versions and country modifications incorporating changes to standards and tools, and the availability and type of patient data available for secondary use. Conclusions: In summary, the health information management profession now requires abilities in leadership, data, and informatics in addition to health information science and coding skills to facilitate the expanding secondary use of patient data.

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