Health information management

View this topic in
Health information management (HIM) is the practice of maintenance and care of health records by traditional (paper-based) and electronic means in hospitals, physician's office clinics, health departments, health insurance companies, and other facilities that provide health care or maintenance of health records. (Wikipedia.org)






Conferences related to Health information management

Back to Top

2018 10th International Conference on Communication Systems & Networks (COMSNETS)

COMSNETS is a premier international conference dedicated to advances in networking and communications systems, and associated applications and services.

  • 2017 9th International Conference on Communication Systems and Networks (COMSNETS)

    Next generation communications networks and associated applications and services

  • 2016 8th International Conference on Communication Systems and Networks (COMSNETS)

    Next generation communications networks and associated applications and services

  • 2015 7th International Conference on Communication Systems and Networks (COMSNETS)

    Internet Architecture, Protocols and Applications; Video Distribution; Network Operations andManagement; Broadband and Cellular Networks; Mesh, Sensor and PAN Networks;Communication Software; Wireless Operating Systems and Mobile Platforms; Peer-to-peerNetworking; Cognitive Radios and White Space Networking; Network Economics; NetworkOptimization; Optical Networks; Network Security & Cyber Security Technologies; Cloud andUtility computing; Storage Area Networks; Next Generation Web Architectures; VehicularNetworking; Energy-Efficient Networking; Network Science and Emergent Behavior in Socio-Technical Networks; Social Networking Analysis, Middleware and Applications; NetworkingTechnologies for Smart Energy Grids; Disruption/Delay Tolerant Networking; and StochasticModels of Communication Networks.

  • 2014 Sixth International Conference on Communication Systems and Networks (COMSNETS)

    Internet Architecture, Protocols and Applications; Video Distribution; Network Operations and Management; Broadband and Cellular Networks; Mesh, Sensor and PAN Networks; Communication Software; Wireless Operating Systems and Mobile Platforms; Peer-to-peer Networking; Cognitive Radios and White Space Networking; Network Economics; Network Optimization; Optical Networks; Network Security & Cyber Security Technologies; Cloud and Utility computing; Storage Area Networks; Next Generation Web Architectures; Vehicular Networking; Energy-Efficient Networking; Network Science and Emergent Behavior in Socio-Technical Networks; Social Networking Analysis, Middleware and Applications; Networking Technologies for Smart Energy Grids; Disruption/Delay Tolerant Networking; and Stochastic Models of Communication Networks.

  • 2013 Fifth International Conference on Communication Systems and Networks (COMSNETS)

    COMSNETS is a premier international conference dedicated to addressing advances in Networking and Communications Systems, and Telecommunications services. The goal of the conference is to create a world-class gathering of researchers from academia and industry, practitioners, business leaders, intellectual property experts, and venture capitalists, providing a forum for discussing cutting edge research, and directions for new innovative business and technology.

  • 2012 Fourth International Conference on Communication Systems and Networks (COMSNETS)

    Internet Architecture, Protocols and Applications, Network Algorithms, Video Distribution (IPTV, Mobile Video, Video on Demand), Network Operations and Management, Broadband and Cellular Networks (3G/4G, WiMAX/LTE), Mesh, Sensor and PAN Networks, Communication Software (Cognitive Radios, DSA, SDR), Wireless Operating Systems and Mobile Platforms, Peer-to-peer Networking, Cognitive Radios and White Space Networking, Performance Analysis, Optical Networks, Cloud Computing, Security, Performance Modeling and Analysis.

  • 2011 Third International Conference on Communication Systems and Networks (COMSNETS)

    * Internet architecture and protocols * Network-based applications * Video Distribution (IPTV, Mobile video, Video on Demand) * Network Operations and Management * Local and Metro Area Networks, including Wireless * Broadband and Cellular Networks (3G/4G, WiMAX/LTE, UWB) * Mesh, Sensor and PAN Networks * Software in wireless communications (cognitive radios, dynamic spectrum access, SDR) * Wireless operating systems and mobile platforms

  • 2010 Second International Conference on COMmunication Systems and NETworkS (COMSNETS 2010)

    Internet architecture and protocols, Network-based applications, Video Distribution (IPTV, Mobile video, Video on Demand), Local and Metro Area Networks, Wireless Broadband and Cellular Networks, Mesh and Sensor Networks, Software in wireless communications, Wireless operating systems and mobile platforms, Optical Networks, Network Security, Cloud and Utility computing, Storage area networks, Next generation Web architectures, Vehicular Networking

  • 2009 First International Conference on COMmunication Systems and NETworkS (COMSNETS 2009)

    A premier international conference dedicated to addressing emerging topics and challenges in Networking and Communications Systems.


2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)

IEEE CCNC 2018 will present the latest developments and technical solutions in the areas of home networking, consumer networking, enabling technologies (such as middleware) and novel applications and services. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions


2018 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)

Cluster Computing, Grid Computing, Edge Computing, Cloud Computing, Parallel Computing, Distributed Computing


2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2018 IEEE 20th International Conference on e-Health Networking, Applications and Services (Healthcom)

IEEE Healthcom 2018 aims at bringing together interested parties from around the world working in the healthcare field to exchange ideas, discuss innovative and emerging solutions, and develop collaborations.


More Conferences

Periodicals related to Health information management

Back to Top

Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


More Periodicals

Most published Xplore authors for Health information management

Back to Top

Xplore Articles related to Health information management

Back to Top

The challenges of genome information management: a practical experience

[{u'author_order': 1, u'affiliation': u'Georgia Institute of Technology', u'full_name': u'S.B. Navathe'}] Proceedings. IDEAS'99. International Database Engineering and Applications Symposium (Cat. No.PR00265), 1999

None


Basic considerations for the management of Medical Records in Peru

[{u'author_order': 1, u'affiliation': u'Secci\xf3n Inform\xe1tica, Departamento de Ingenier\xeda, Pontificia Universidad Cat\xf3lica del Per\xfa, Lima, Per\xfa', u'full_name': u'L. Hirsh'}] 2010 Pan American Health Care Exchanges, 2010

The main objective of this article is to have a clear idea of how Medical Records are currently managed and pose some basic considerations for their management that could be taken into account in developing future management systems.


The 3LGM2-Tool to Support Information Management in Health Care

[{u'author_order': 1, u'affiliation': u'Institute for Medical Informatics, Statistics und Epidemiology, Leipzig University, Leipzig, Germany', u'full_name': u'Alfred Winter'}] 2006 ITI 4th International Conference on Information & Communications Technology, 2006

In industrialized as well as in developing countries the driving force for healthcare has recently been the trend towards a better coordination of care. The focus has been changed from isolated procedures in a single healthcare institution (e.g. a hospital or a general practice) to the patient-oriented care process spreading over institutional boundaries. This should lead to a shift towards ...


Medical informatics and the medical school curriculum

[{u'author_order': 1, u'affiliation': u'Northwestern Univ. Med. Sch., Chicago, IL, USA', u'full_name': u'M. Altman'}] [Proceedings] 1992 IEEE International Conference on Systems, Man, and Cybernetics, 1992

At Northwestern University Medical School, the program in medical informatics has developed in a setting of curricular reform that began with establishing institutional primacy in determining the conduct and content of the curriculum without diminishing individual departmental responsibility for conducting the educational process. Informatics and medical decision making, the medical curricular objectives, and the medical informatics curricular goals are discussed. ...


JSF prognostics and health management

[{u'author_order': 1, u'full_name': u'B.L. Ferrell'}] 1999 IEEE Aerospace Conference. Proceedings (Cat. No.99TH8403), 1999

JSF Prognostics and Health Management (PHM) is a comprehensive system for detecting and isolating failures as well as predicting remaining useful life for critical components. The PHM system is a hierarchical distribution of data collection and information management elements, both on-board and off-board that make maximum use of conventional failure symptom-detecting techniques combined with advanced software modeling to achieve excellent ...


More Xplore Articles

Educational Resources on Health information management

Back to Top

eLearning

No eLearning Articles are currently tagged "Health information management"

IEEE-USA E-Books

  • eMaintenance

    The eMaintenance solutions consolidate computing and information and communication technologies (ICT) with prognostics and health management (PHM) for maintenance decision‐making. The development to eMaintenance is to move from reactive to predictive maintenance. The role of technology in maintenance management has developed through the years, first beginning with a manual system, followed by a computerized maintenance management system (CMMS), and the eMaintenance management system (EMMS). Since analytics is the process of generating knowledge based on understanding, maintenance analytics (MA) is considered as big data analytics for maintenance. Enhanced reliability and reduced costs by predictive maintenance can help to reduce the economic risks for industrial system providers. Establishment of knowledge discovery in databases (KDD) mechanisms for maintenance decision support can be facilitated through provision of a meta‐level model through which a range of concepts, models, techniques, and methodologies can either be clarified and/or integrated.

  • PHM of Light‐Emitting Diodes

    This chapter provides an overview of the prognostics and health management (PHM) methods applied to light‐emitting diodes (LEDs). These methods include optimizing LED design with simulations, shortening qualification test times, enabling condition‐based maintenance (CBM) for LED systems, and providing information for return on investment (ROI) analysis. The simulation has unique characteristics for LED lighting systems, such as parameter selections and assumptions. The chapter describes the latest information regarding the prognostics of high‐power white LEDs and physical modeling and failure analysis for LEDs. It also provides an overview of the available prognostic methods and models that have been applied to both LED devices and LED systems. These methods include statistical regression, static Bayesian network (BN), Kalman filtering (KF), particle filtering (PF), artificial neural network (ANN), and physics‐based methods. Degradation processes vary one‐directionally and are monotonic, for example, light output degradation processes of LEDs.

  • PHM Software for Electronics

    The data‐driven prognostics and systems health management (PHM) software can be used for diagnostic and prognostics purposes, in addition to data cleaning. The simulation assisted reliability assessment (SARA) software developed by the center for advanced life cycle engineering (CALCE) is an example of a simulation environment for conducting virtual qualification and test of electronic products. One important consideration when designing software is the direction of data flow. Accordingly, the software organizes the algorithms into the following five broad classes of PHM algorithms: data pre‐processing, feature discovery, anomaly detection, diagnostics/classification, and prognostics/modeling. PHM information can be used for maintenance forecasting and decisions that minimize life‐cycle costs or maximize availability. To enable PHM, physics‐of‐failure (PoF) and data‐driven approaches have been studied. The PoF‐based approach deals with the application of first principles models to understand the various failure mechanisms and thereby predicts the remaining useful life (RUL) and reliability of electronic systems/components.

  • Health Care Engineering, Part II: Research and Development in the Health Care Environment

    Part II of Health Care Engineering begins with statistics on the occurrence of medical errors and adverse events, and includes some technological solutions. A chapter on electronic medical records follows. The knowledge management process divided into four steps is described; this includes a discussion on data acquisition, storage, and retrieval. The next two chapters discuss the other three steps of the knowledge management process (knowledge discovery, knowledge translation, knowledge integration and sharing). The last chapter briefly discusses usability studies and clinical trials. This two-part book consolidates material that supports courses on technology development and management issues in health care institutions. It can be useful for anyone involved in design, development, or research, whether in industry, hospitals, or government.

  • Health Care Engineering, Part I: Clinical Engineering and Technology Management

    The first chapter describes the health care delivery systems in Canada and in the U.S. This is followed by examples of various approaches used to measure physiological variables in humans, either for the purpose of diagnosis or monitoring potential disease conditions; a brief description of sensor technologies is included. The function and role of the clinical engineer in managing medical technologies in industrialized and in developing countries are presented. This is followed by a chapter on patient safety (mainly electrical safety and electromagnetic interference); it includes a section on how to minimize liability and how to develop a quality assurance program for technology management. The next chapter discusses applications of telemedicine, including technical, social, and ethical issues. The last chapter presents a discussion on the impact of technology on health care and the technology assessment process. This two-part book consolidates material that supports courses on technology development and management issues in health care institutions. It can be useful for anyone involved in design, development, or research, whether in industry, hospitals, or government.

  • PHM of Li‐ion Batteries

    This chapter presents an overview of the prognostics and systems health management (PHM) techniques used for states estimation and remaining useful life (RUL) prediction of lithium‐ion (Li‐ion) batteries. Li‐ion batteries represent complex electrochemical‐mechanical systems in which various degradation mechanisms are present. State of charge (SOC) and state of health (SOH) provide the estimates of remaining charge and remaining usable capacity of a Li‐ion battery respectively. The chapter discusses methods for battery SOC estimation and also presents a few case studies on experimental data to elaborate these methods. It then presents a case study on SOH estimation and RUL prediction using a Bayesian framework. PHM‐based decision‐making framework for Li‐ion batteries can provide recommendations for mission planning and maintenance scheduling based on the prognostic information, and can control the battery usage in real‐time to optimize the battery life‐cycle performance.

  • 4 Information Sharing and Multi-Level Governance in Refugee Services

    Displacement generates a wide range of acute needs—shelter, food, clothing, health care—just to name a few. Fulfilling these needs requires complex processes, carried out by networks of humanitarian organizations, often times in challenging circumstances. As service providers, these organizations work to coordinate efforts, leveraging areas of unique expertise, with information sharing playing a crucial role. Information sharing may be required for coordinating case management, similar to any healthcare network. It may also be necessary for managing shared responsibilities in the stewarding of aid dollars, sometimes specified through subcontracts. In these networks, successful information sharing often depends on organizational processes and policies, as well as the trust and mutual adjustment gained through working closely together in the field.

  • Connected Vehicle Diagnostics and Prognostics

    This chapter describes a general framework, called an automatic field data analyzer (AFDA), as well as the related data analytic algorithms for connected vehicle diagnostics and prognostics (CVDP). The fault analysis results are provided to product development engineers with actionable design enhancement suggestions. A vehicle battery failure analysis on two years of data from 24 vehicles is performed to demonstrate the effectiveness of the proposed framework. An AFDA framework is developed that analyzes large volumes of on‐road vehicle data, automatically identifies root causes of faults, and eventually provides actionable design enhancement suggestions. The framework and algorithms for the proposed AFDA have been applied to the data collected through a General Motors (GM) internal project. The chapter explains a high‐level diagram of an AFDA. It consists of three parts, namely, the data collection subsystem, the information abstraction subsystem, and the root cause analysis subsystem.

  • Strategic Health Technology Incorporation

    Technology is essential to the delivery of health care but it is still only a tool that needs to be deployed wisely to ensure beneficial outcomes at reasonable costs. Among various categories of health technology, medical equipment has the unique distinction of requiring both high initial investments and costly maintenance during its entire useful life. This characteristic does not, however, imply that medical equipment is more costly than other categories, provided that it is managed properly. The foundation of a sound technology management process is the planning and acquisition of equipment, collectively called technology incorporation. This lecture presents a rational, strategic process for technology incorporation based on experience, some successful and many unsuccessful, accumulated in industrialized and developing countries over the last three decades. The planning step is focused on establishing a Technology Incorporation Plan (TIP) using data collected from an audit of existing technology, evaluating needs, impacts, costs, and benefits, and consolidating the information collected for decision making. The acquisition step implements TIP by selecting equipment based on technical, regulatory, financial, and supplier considerations, and procuring it using one of the multiple forms of purchasing or agreements with suppliers. This incorporation process is generic enough to be used, with suitable adaptations, for a wide variety of health organizations with different sizes and acuity levels, ranging from health clinics to community hospitals to major teaching hospitals and even to entire health systems. Such a broadly applicable process is possible because it is based on a conceptual framework composed of in-depth analysis of the basic principles that govern each stage of technology lifecycle. Using this incorporation process, successful TIPs have been created and implemented, thereby contributing to the improvement of healthcare services and limiting the associated expenses. Table of Contents: Introduction / Conceptual Framework / The Incorporation Process / Discussion / Conclusions

  • The Development and Use of Information Technology in Health Care

    This chapter contains sections titled: The Adoption of Information Technology, Practitioner Tools Versus Management Aids, The Stakeholders in the Provision of Health Care Services, A Multi-Perspective Approach to Information Technology Development and Use, Empirical Studies of the Application of Information Technology to Health Care, Some Implications



Standards related to Health information management

Back to Top

No standards are currently tagged "Health information management"


Jobs related to Health information management

Back to Top