medical informatics computing


Summary: Precise procedural mathematical and logical operations utilized in the study of medical information pertaining to health care.

Top Publications

  1. Qamar R, Rector A. Semantic issues in integrating data from different models to achieve data interoperability. Stud Health Technol Inform. 2007;129:674-8 pubmed
    ..However, the paper also stresses that the context and semantics of the data in either model should be taken into consideration at all times to increase the chances of true positives and reduce the occurrence of false negatives. ..
  2. Weaver D. Applying data mining techniques to library design, lead generation and lead optimization. Curr Opin Chem Biol. 2004;8:264-70 pubmed
    ..Also, this review discusses recent comparative studies between data mining techniques and draws some conclusions about the patterns emerging in the drug discovery data mining field. ..
  3. Meslin E, Alpert S, Carroll A, Odell J, Tierney W, Schwartz P. Giving patients granular control of personal health information: using an ethics 'Points to Consider' to inform informatics system designers. Int J Med Inform. 2013;82:1136-43 pubmed publisher
    ..This report contributes to that discussion. ..
  4. Bernauer J, Schoop D. Formal classification of medical concept descriptions: graph-oriented operators. Methods Inf Med. 1998;37:510-7 pubmed
    ..These operators are based on the formal structure of concept descriptions and on explicitly introduced generic and partitive relationships between their constituents. ..
  5. Svanaes D, Das A, Alsos O. The contextual nature of usability and its relevance to medical informatics. Stud Health Technol Inform. 2008;136:541-6 pubmed
    ..The contextual view on usability is particularly important for health information systems because of their great diversity concerning user groups, tasks, and work environments. ..
  6. Rialle V, Danel V. Watching symptoms and illnesses through the eyes of Multiple Correspondence Analysis: a case study in toxicology. Stud Health Technol Inform. 2003;95:595-600 pubmed
    ..A test-base of 97 patients was used to partially assess the system. The method and resulting tool revealed to be appreciable to early inform the physician about the possible combination of ingested psychotropes. ..
  7. Morton R, Nicholls J, Williams R. The changing role of the medical illustrator. J Audiov Media Med. 2000;23:65-8 pubmed
    ..This paper is a synthesis of the ideas presented by these three speakers and elaborates on common themes in their presentations. ..
  8. Aymard S, Falco L, Dufour J, Joubert M, Fieschi M. Modeling and implementing a health information provider on the Internet. Stud Health Technol Inform. 2003;95:89-94 pubmed
    ..Current implementation and wrapping perspectives are discussed in terms of integration and interoperability of health information resources. ..
  9. Doherty S, Davis L, Leschke P, Valpiani A, Whitely E, Yarnold D, et al. Automated versus manual audit in the emergency department. Int J Health Care Qual Assur. 2008;21:671-8 pubmed
    ..Departments that use automated data collection tools need to establish relationships between such data and data collected via more traditional auditing methods. ..

More Information


  1. Pavlovich R, Vazquez Vela G, Pardinas J, Bustos Villarreal J, Rico E, de la Mora Behar G. Basic science in digital imaging: digital dynamic radiography, multimedia, and their potential uses for orthopaedics and arthroscopic surgery. Arthroscopy. 2002;18:639-47 pubmed
  2. Gomes R, Lapão L. The adoption of IT security standards in a healthcare environment. Stud Health Technol Inform. 2008;136:765-70 pubmed
    ..This paper introduces one best practice for implementing four security controls in a hospital datacenter infrastructure (ISO27002), and describes the security assessment for implementing such controls. ..
  3. Burgun A. Desiderata for domain reference ontologies in biomedicine. J Biomed Inform. 2006;39:307-13 pubmed
    ..We suggest five desirable characteristics for reference ontologies: good lexical coverage, good coverage in terms of relations, compatibility with standards, modularity, and ability to represent variation in reality. ..
  4. Bender W, Albus M, Moller H, Tretter F. Towards systemic theories in biological psychiatry. Pharmacopsychiatry. 2006;39 Suppl 1:S4-9 pubmed
    ..The methodology of systems science permits the modeling of complex dynamic nonlinear systems. Such procedures might help us to understand brain functions and the disorders and actions of psychiatric drugs better. ..
  5. Ilioudis C, Pangalos G. A framework for an institutional high level security policy for the processing of medical data and their transmission through the Internet. J Med Internet Res. 2001;3:E14 pubmed
    ..Even when a High Level Security Policy already exists in an institution, it is advisable that the management of the Health Care Establishment periodically revisits it to see whether it should be modified or augmented. ..
  6. Woernle F, Welter C, Seufert R, Knapstein P. [Personal Digital Assistants assisting in clinical and administrative tasks]. Zentralbl Gynakol. 2001;123:435-7 pubmed
    ..Exact coding of medical performance is essential for this future invoice system. How PDAs can be used convenient in this respect will be shown with examples from our department. ..
  7. Azimuddin K, Rosen L, Reed J. Computerized assessment of complications after colorectal surgery: is it valid?. Dis Colon Rectum. 2001;44:500-5 pubmed
    ..Because uniform discharge coding of commingled comorbidity and complications is increasingly used to rapidly compute surgical outcomes, colon and rectal surgeons need to ensure compatibility of the actual and coded medical records. ..
  8. Kupka M, Seufert R, Tutschek B, Goerke K. [Current responsibility of information processing in gynecology]. Zentralbl Gynakol. 2000;122:597-601 pubmed
    ..The German Work Group for Information Technologies in Gynecology and Obstetrics (AIG) informs physicians about health care issues related to computer science. ..
  9. Bărbat B, Zamfirescu C, Costache G. Agent-oriented captology for medical informatics. Stud Health Technol Inform. 2000;77:465-9 pubmed
    ..The approach is instantiated through an agent-based test-bench application, having the purpose to persuade to quit smoking. ..
  10. Ryan A, Eklund P. A framework for semantic interoperability in healthcare: a service oriented architecture based on health informatics standards. Stud Health Technol Inform. 2008;136:759-64 pubmed
  11. Plischke M, Marschollek M, Wolf K, Haux R, Tegtbur U. CyberMarathon - increasing physical activity using health-enabling technologies. Stud Health Technol Inform. 2008;136:449-54 pubmed
    ..Measuring of daily physical activities, the feedback of the analyzed data and the deal with the own body and activity seems to be an effective prevention for adolescents. ..
  12. Cornet R. Do SNOMED CT relationships qualify?. Stud Health Technol Inform. 2008;136:785-90 pubmed
    ..Refinability is used in 10 out of 61 relationships, and the interplay between refinable and defining relationships is low. The results indicate that the usage of refinable relationships can be further enhanced in SNOMED CT. ..
  13. Saltz J, Hastings S, Langella S, Oster S, Kurc T, Payne P, et al. A roadmap for caGrid, an enterprise Grid architecture for biomedical research. Stud Health Technol Inform. 2008;138:224-37 pubmed
    ..This summary is based on discussions at a roadmap workshop held in February with participants from biomedical research, Grid computing, and high performance computing communities. ..
  14. Patel V, Kushniruk A. Understanding, navigating and communicating knowledge: issues and challenges. Methods Inf Med. 1998;37:460-70 pubmed
    ..e. the normative approach, we might instead begin by examining the natural context of how health care workers acquire, understand and negotiate knowledge in practice. ..
  15. Berman J. Automatic extraction of candidate nomenclature terms using the doublet method. BMC Med Inform Decis Mak. 2005;5:35 pubmed
    ..The method can be immediately adapted for virtually any text and any nomenclature. An implementation of the algorithm, in the Perl programming language, is provided with this article. ..
  16. Müller T. Reconciling data structures in health information systems for research in a European clinical registry. Stud Health Technol Inform. 2008;136:741-6 pubmed
    ..To resolve this problem efficiently, a set of generic transformations is proposed. ..
  17. Pena Reyes C, Sipper M. Evolutionary computation in medicine: an overview. Artif Intell Med. 2000;19:1-23 pubmed
    ..Finally, we provide an extensive bibliography, classified both according to the medical task addressed and according to the evolutionary technique used. ..
  18. Craft R. Trends in technology and the future intensive care unit. Crit Care Med. 2001;29:N151-8 pubmed
    ..To that end, a final section of the article speculates on specific ways that these trends are likely to play themselves out in the context of tomorrow's critical care environments. ..
  19. Amundson S, Fornace A. Gene expression profiles for monitoring radiation exposure. Radiat Prot Dosimetry. 2001;97:11-6 pubmed
    ..Although the preliminary data are encouraging, significant work remains before meaningful correlations with risk or practical assessment of exposure can be made by gene expression profiling. ..
  20. Guo J, Takada A, Tanaka K, Sato J, Suzuki M, Suzuki T, et al. The development of MML (Medical Markup Language) version 3.0 as a medical document exchange format for HL7 messages. J Med Syst. 2004;28:523-33 pubmed
    ..As a result of this development, it has become possible to exchange MML Version 3.0 medical documents via HL7 messages. ..
  21. Mans R, Schonenberg H, Leonardi G, Panzarasa S, Cavallini A, Quaglini S, et al. Process mining techniques: an application to stroke care. Stud Health Technol Inform. 2008;136:573-8 pubmed
    ..In this paper, we apply process mining on two datasets for stroke patients and present the most interesting results. Above all, the paper demonstrates the applicability of process mining in the health-care domain. ..
  22. Musen M. Domain ontologies in software engineering: use of Protégé with the EON architecture. Methods Inf Med. 1998;37:540-50 pubmed
    ..Nevertheless, the capability of ontologies to encode clinical distinctions not usually captured by controlled medical terminologies provides significant advantages for developers and maintainers of clinical software applications. ..
  23. Papakonstantinou D, Malamateniou F, Vassilacopoulos G. Using ESB and BPEL for evolving healthcare systems towards SOA. Stud Health Technol Inform. 2008;136:747-52 pubmed
  24. Delgado M, Sanchez D, Martín Bautista M, Vila M. Mining association rules with improved semantics in medical databases. Artif Intell Med. 2001;21:241-5 pubmed
    ..Our new measures have been shown to be more understandable and appropriate than ordinary ones. Several experiments on large medical databases show that our new approach can provide useful knowledge with better semantics in this field. ..
  25. Chen Y, Cheng C. Identifying the medical practice after total hip arthroplasty using an integrated hybrid approach. Comput Biol Med. 2012;42:826-40 pubmed publisher
    ..The analytical results provide useful THA information for both academics and practitioners and these results could be applicable to other diseases or to other countries with similar social and cultural practices. ..
  26. Wong G, Greenhalgh T, Russell J, Boynton P, Toon P. Putting your course on the Web: lessons from a case study and systematic literature review. Med Educ. 2003;37:1020-3 pubmed
  27. Bates D. The National Alliance for Primary Care Informatics: an update. Inform Prim Care. 2005;13:227-8 pubmed
  28. Lucas P, van der Gaag L, Abu Hanna A. Bayesian networks in biomedicine and health-care. Artif Intell Med. 2004;30:201-14 pubmed
  29. Shahar Y. Hybrid specification, storage, retrieval and runtime application of clinical guidelines. Neurol Sci. 2006;27 Suppl 3:S250-3 pubmed
    ..The Spock module also exploits our temporal-abstraction mediator to the patient record, IDAN, and our interactive intelligent-visualisation tool, KNAVE-II. ..
  30. Haux R, Knaup P, Bauer A, Herzog W, Reinhardt E, Uberla K, et al. Information processing in healthcare at the start of the third Millennium: potential and limitations. Methods Inf Med. 2001;40:156-62 pubmed
  31. Liu K, Mitchell K, Chapman W, Savova G, Sioutos N, Rubin D, et al. Formative evaluation of ontology learning methods for entity discovery by using existing ontologies as reference standards. Methods Inf Med. 2013;52:308-16 pubmed publisher
    ..This method is sufficiently general and flexible enough to permit comparison of any OL method for a specific corpus and ontology of interest. ..
  32. Park S, Kim W, Ihm I. Mobile collaborative medical display system. Comput Methods Programs Biomed. 2008;89:248-60 pubmed publisher
  33. Mullins I, Siadaty M, Lyman J, Scully K, Garrett C, Miller W, et al. Data mining and clinical data repositories: Insights from a 667,000 patient data set. Comput Biol Med. 2006;36:1351-77 pubmed
    ..The initial results from this study suggest that these approaches have the potential to expand research capabilities through identification of potentially novel clinical disease associations. ..
  34. Davies B, Rafique J, Vincent T, Fairclough J, Packer M, Vincent R, et al. Mobile Medical Education (MoMEd) - how mobile information resources contribute to learning for undergraduate clinical students - a mixed methods study. BMC Med Educ. 2012;12:1 pubmed publisher
    ..The lessons from this study are transferable internationally, to other health care professions and to the development of similar initiatives with newer technology such as smartphones or tablet computers. ..
  35. Salleron J, Duhamel A, Sulman C, Deken V, Beuscart R. Study on urban healthcare consumption in northern France. Stud Health Technol Inform. 2008;136:647-52 pubmed
    ..The results of this study can be used to improve decision-making, elaborate better health policies and promote social actions. ..
  36. Pandey B, Mishra R. Knowledge and intelligent computing system in medicine. Comput Biol Med. 2009;39:215-30 pubmed publisher
    ..The study and its presentation in this context would be helpful for novice researchers in the area of medical expert system. ..
  37. Cimino J. In defense of the Desiderata. J Biomed Inform. 2006;39:299-306 pubmed
    ..To that end, additional Desiderata are defined that deal with the purpose, rather than the structure, of controlled medical terminologies. ..
  38. Mitkas P, Koutkias V, Symeonidis A, Falelakis M, Diou C, Lekka I, et al. Association studies on cervical cancer facilitated by inference and semantic technologies: the assist approach. Stud Health Technol Inform. 2008;136:241-6 pubmed
    ..The ultimate goal for ASSIST is to foster the biomedical research community by providing an open, integrated and collaborative framework to facilitate genetic association studies. ..
  39. Bottoms S, Tse G, Chik L. From mainframe to micro: decentralization of perinatal epidemiology. J Perinat Med. 1988;16:345-8 pubmed
    ..Our results suggest that the microcomputer may be a practical alternative to the mainframe for perinatal epidemiological analysis. ..
  40. Bricon Souf N, Dufresne E, Beuscart Zephir M, Beuscart R. Communication of information in the homecare context. Stud Health Technol Inform. 2003;95:113-8 pubmed
  41. Adelhard K. [Quality assurance of medical information in the internet--challenges for a seal of approval in gynecology]. Zentralbl Gynakol. 2001;123:458-9 pubmed
    ..The knowledge of experts is essential to describe and rate internet resources. The cooperation of the scientific medical societies in Germany should be an aim to make a quality seal for information on gynecology and obstetrics possible. ..
  42. Schmalhofer F, Tschaitschian B. Cooperative knowledge evolution: a construction-integration approach to knowledge discovery in medicine. Methods Inf Med. 1998;37:491-500 pubmed
    ..e., more cases and more pharmaceutical substrates). Finally, it is shown how prototypes, model-based approaches and cooperative knowledge evolution systems can be distinguished as different classes of knowledge-based systems. ..
  43. Mizuno M, Yoshida J. [Medical information network for neurosurgical diseases]. No Shinkei Geka. 2007;35:185-91 pubmed
    ..As a result, we expect to create the new society with great potential for providing speedy patient access to the best medicines and the best pharmaceuticals to ensure that patients are in good health. ..
  44. Mykkänen J, Riekkinen A, Sormunen M, Karhunen H, Laitinen P. Designing web services in health information systems: from process to application level. Int J Med Inform. 2007;76:89-95 pubmed
    ..We illustrate these aspects with examples from our current work from the service-enabled HIS. ..
  45. Murty U, Srinivasa Rao M, Misra S. Prioritization of malaria endemic zones using self-organizing maps in the Manipur state of India. Inform Health Soc Care. 2008;33:170-8 pubmed publisher
    ..The SOM results (in two-dimensional images called Kohonen maps) clearly show the visual classification of malaria endemic zones into high, medium and low in the different districts of Manipur, and will be discussed in the paper. ..
  46. Procter P. The impact of communications and information technology on organisations. Stud Health Technol Inform. 2002;65:407-21 pubmed
  47. Hanss S, Schaaf T, Wetzel T, Hahn C, Schrader T, Tolxdorff T. Integration of decentralized clinical data in a data warehouse: a service-oriented design and realization. Methods Inf Med. 2009;48:414-8 pubmed publisher
    ..SC is to analyze the requirements. And to show that this is not only a theoretical work, we present a design - developed with RUP and SOA - which fulfills these requirements. ..
  48. Cline J. The promise of data-driven care. N C Med J. 2014;75:178-82 pubmed
    ..There have been challenges and opportunities at every turn, and progress has been slow, but mounting evidence suggests that better use of data is moving health care in the right direction. ..
  49. Peters A, Sachs J, Porter J, Love D, Costello A. The value of all-payer claims databases to states. N C Med J. 2014;75:211-3 pubmed
    ..The value of such databases is becoming more apparent as these databases mature and are used more frequently to help states better understand their health care utilization and costs. ..
  50. Peute L, Spithoven R, Bakker P, Jaspers M. Usability studies on interactive health information systems; where do we stand?. Stud Health Technol Inform. 2008;136:327-32 pubmed
    ..Formative usability studies lack a uniform way to describe how study results contributed to the system's iterative development cycle. ..
  51. Haux R. Individualization, globalization and health--about sustainable information technologies and the aim of medical informatics. Int J Med Inform. 2006;75:795-808 pubmed
    ..Reference is made and examples are given from the Yearbook of Medical Informatics of the International Medical Informatics Association (IMIA) and from the work of Professor Jochen Moehr. ..
  52. Bauer P, Brannath W, Posch M. Flexible two-stage designs: an overview. Methods Inf Med. 2001;40:117-21 pubmed
    ..We sketch the construction of p-values, confidence intervals, and median unbiased estimates. Finally, recursive combination tests are introduced which extend the flexibility to the choice of the number of interim analyses. ..
  53. Helm Murtagh S. Use of big data by Blue Cross and Blue Shield of North Carolina. N C Med J. 2014;75:195-7 pubmed
    ..Blue Cross and Blue Shield of North Carolina provides several promising examples of how big data can be used to reduce the cost of care, to predict and manage health risks, and to improve clinical outcomes. ..