Modeling in Biomedical Informatics – An Exploratory Analysis (Part 1)

A. Hasman; R. Haux

doi:10.1055/s-0038-1634128

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2006; 45(06): 638-642
DOI: 10.1055/s-0038-1634128

Original Article

Schattauer GmbH

Modeling in Biomedical Informatics – An Exploratory Analysis (Part 1)

A. Hasman

¹University of Amsterdam, Department of Medical Informatics, Amsterdam, The Netherlands

,

R. Haux

²Technical University of Braunschweig, Institute for Medical Informatics, Braunschweig, Germany

› Author Affiliations

Abstract

Summary

Objectives: Modeling is a significant part of research, education and practice in biomedical and health informatics. Our objective was to explore, which types of models of processes are used in current biomedical/ health informatics research, as reflected in publications of scientific journals in this field. Also the implications for medical informatics curricula were investigated.

Methods: Retrospective, prolective observational study on recent publications of the two official journals of the International Medical Informatics Association (IMIA), the International Journal of Medical Informatics (IJMI) and Methods of Information in Medicine (MIM).

Results: 384 publications have been analyzed, 190 of IJMI and 194 of MIM. In regular papers (69 in IJMI, 62 in MIM), analyzed here in part 1, all of these model types could be found. In many publications we observed a mixture of models, being used to solve the ‘core’ research questions and also to systematically evaluate the research done. Knowledge of (and models for) software engineering and project management are also often needed. IJMI seems to have a closer focus on research concerning health information systems and electronic patient records, with a strong emphasis on evaluation. MIM seems to have a broader range of research approaches, including also statistical modeling and computational intensive approaches. The aim to provide solutions for problems related to data, information and knowledge processing and to study the general principles of processing data, information and knowledge in medicine and health care in order to contribute to improve the quality of health care, and of research and education in medicine and the health sciences was given in all publications.

Conclusions: Modeling continues to be a major task in research, education and practice in biomedical and health informatics. Knowledge and skills concerning a broad range of model types is needed.

Keywords

Modeling - biomedical informatics - medical informatics - health informatics

Full Text

References

References
1 van Bemmel JH. The young person’s guide to biomedical informatics. In Hasman A, Haux R, van der Lei J, De Clercq E, Roger France FH. editors Ubiquity: technologies for better health in aging societies.Proceedings of MIE2006. Amsterdam: IOS; 2006. pp 3-18.
2 Modeling in biomedical informatics: pastime or necessity? A dialogue on lessons from the past and directions for the future [letter]. Artif Intell Med. 2006
3 Hasman A, Haux R, Albert A. A systematic view on medical informatics. Comput Methods Programs Biomed 1996; 51: 131-9.
4 www.imia.org Last accessed September 13 2006
5 Hasman A, Haux R. Modeling in biomedical informatics - an exploratory analysis. Part Int J Med Inform (to appear).
6 Leiner F. et al Medical data management. New York: Springer; 2002
7 www.elsevier-international.com/journals/ijmi Last accessed September 13 2006
8 www.methods-online.com Last accessed September 13 2006
9 www.ncbi.nlm.nih.gov/entrez/query.fcgi?DB=pubmed Last accessed September 13 2006
10 Dixon WJ, Massey F.J. Introduction to statistical analysis. 3rd ed. New York: McGraw-Hill; 1969
11 Deutsche Forschungsgemeinschaft. Safeguarding Good Scientific Practice. Weinheim: Wiley-VCH; 1998. www.dfg.de/aktuelles_presse/reden_stellungnahmen/download/self_regulation_98.pdf Last accessed September 13 2006
12 Allaert FA, Le Teuff G, Quantin C, Barber B. The legal acknowledgement of the electronic signature: a key for a secure direct access of patients to their computerised medical record. Int J Med Inform 2004; 73: 239-42.
13 Ravera L, Colombo I, Tedeschi M, Ravera A. Security and privacy at the private multispecialty hospital Istituto Clinico Humanitas: strategy and reality. Int J Med Inform 2004; 73: 321-4.
14 Bakker A. Digest of the discussion group sessions. Realising Security of the Electronic Record. Int J Med Inform 2004; 73: 325-31.
15 Abdel-Aal RE. Abductive network committees for improved classification of medical data. Methods Inf Med 2004; 43: 192-201.
16 Alberdi E, Taylor P, Lee R. Elicitation and representation of expert knowledge for computer aided diagnosis in mammography. Methods Inf Med 2004; 43: 239-46.
17 Ammenwerth E, de Keizer N. An inventory of evaluation studies of information technology in health care trends in evaluation research 1982-2002. Methods Inf Med. 2005; 44: 44-56. Erratum in: Methods Inf Med 2005 44 III
18 Bagarinao E, Matsuo K, Tanaka Y, Sarmenta LF, Nakai T. Enabling on-demand real-time functional MRI analysis using grid technology. Methods Inf Med 2005; 44: 665-73.
19 Barrett JR, Strayer SM, Schubart JR. Assessing medical residents’ usage and perceived needs for personal digital assistants. Int J Med Inform 2004; 73: 25-34.
20 Brandt CA, Cohen DB, Shifman MA, Miller PL, Nadkarni PM, Frawley SJ. Approaches and informatics tools to assist in the integration of similar clinical research questionnaires. Methods Inf Med 2004; 43: 156-62.
21 Brandt CA, Sun K, Charpentier P, Nadkarni PM. Integration of Web-based and PC-based clinical research databases. Methods Inf Med 2004; 43: 287-95.
22 Brown PJ, Borowitz SM, Novicoff W. Information exchange in the NICU: what sources of patient data do physicians prefer to use?. Int J Med Inform 2004; 73: 349-55.
23 Carey IM, Cook DG, De Wilde S, Bremner SA, Richards N, Caine S, Strachan DP, Hilton SR. Developing a large electronic primary care database (Doctors’ Independent Network) for research. Int J Med Inform 2004; 73: 443-53.
24 Despont-Gros C. et al The digital pen and paper. Evaluation and acceptance of a new data acquisition device in clinical settings. Methods Inf Med 2005; 44: 359-68.
25 Diero L. et al Can data from an electronic medical record identify which patients with pneumonia have Pneumocystis carinii Infection?. Int J Med Inform 2004; 73: 743-50.
26 Dollinger M, Tayama N, Berry DA. Empirical Eigenfunctions and medial surface dynamics of a human vocal fold. Methods Inf Med 2005; 44: 384-91.
27 Faddy MJ, McClean SI. Markov chain modelling for geriatric patient care. Methods Inf Med 2005; 44: 369-73.
28 Fischer G, Pfeifer B, Seger M, Hintermuller C, Hanser F, Modre R, Tilg B, Trieb T, Kremser C, Roithinger FX, Hintringer F. Computationally efficient noninvasive cardiac activation time imaging. Methods Inf Med 2005; 44: 674-86.
29 Gaus W, Westendorf J, Diebow R, Kieser M. Identification of adverse drug reactions by evaluation of a prescription database, demonstrated for “risk of bleeding”. Methods Inf Med 2005; 44: 697-703.
30 Gibson M, Jenkings KN, Wilson R, Purves I. Multi-tasking in practice: coordinated activities in the computer supported doctor-patient consultation. Int J Med Inform 2005; 74: 425-36.
31 Glykas M, Chytas P. Technology assisted speech and language therapy. Int J Med Inform 2004; 73: 529-41.
32 Graham MJ, Kubose TK, Jordan D, Zhang J, Johnson TR, Patel VL. Heuristic evaluation of infusion pumps: implications for patient safety in Intensive Care Units. Int J Med Inform 2004; 73: 771-9.
33 Hensler K, Waschulzik T, Monig SP, Maruyama K, Holscher AH, Bollschweiler E. Quality-assured Efficient Engineering of Feedforward Neural Networks (QUEEN) - pretherapeutic estimation of lymph node status in patients with gastric carcinoma. Methods Inf Med 2005; 44: 647-54.
34 Johnson KB, Ravich WJ, Cowan Jr JA. Brainstorming about next-generation computer-based documentation: an AMIA clinical working group survey. Int J Med Inform 2004; 73: 665-74.
35 Kim HG, Ha BH, Lee JI, Kim MK. A multilayered application for the gross description using Semantic Web technology. Int J Med Inform 2005; 74: 399-407.
36 Kriete A, Boyce K. Automated tissue analysis - a bioinformatics perspective. Methods Inf Med 2005; 44: 32-7.
37 Liang H, Xue Y. Investigating public health emergency response information system initiatives in China. Int J Med Inform 2004; 73: 675-85.
38 Los RK, Roukema J, van Ginneken AM, de Wilde M, van der Lei J. Are structured data structured identically? Investigating the uniformity of pediatric patient data recorded using OpenSDE. Methods Inf Med 2005; 44: 631-8.
39 Magrabi F, Coiera EW, Westbrook JI, Gosling AS, Vickland V. General practitioners’ use of online evidence during consultations. Int J Med Inform 2005; 74: 1-12.
40 Malin BA. Protecting genomic sequence anonymity with generalization lattices. Methods Inf Med 2005; 44: 687-92.
41 Muller H, Michoux N, Bandon D, Geissbuhler A. A review of content-based image retrieval systems in medical applications - clinical benefits and future directions. Int J Med Inform 2004; 73: 1-23.
42 Nguyen JM, Six P, Antonioli D, Glemain P, Potel G, Lombrail P, Le Beux P. A simple method to optimize hospital beds capacity. Int J Med Inform 2005; 74: 39-49.
43 O’Connell R, Poljak A, Powsner S. Forms that Inform. Methods Inf Med 2004; 43: 247-55.
44 Odhiambo-Otieno GW. Evaluation criteria for district health management information systems: lessons from the Ministry of Health, Kenya. Int J Med Inform 2005; 74: 31-8.
45 Quantin C. et al Decision analysis for the assessment of a record linkage procedure: application to a perinatal network. Methods Inf Med 2005; 44: 72-9.
46 Rahman M, Morita S, Fukui T, Sakamoto J. Physicians’ choice in using Internet and fax for patient recruitment and follow-up in a randomized controlled trial. Methods Inf Med 2004; 43: 268-72.
47 Rosenbloom ST, Talbert D, Aronsky D. Clinicians’ perceptions of clinical decision support integrated into computerized provider order entry. Int J Med Inform 2004; 73: 433-41.
48 Ruland CM. A survey about the usefulness of computerized systems to support illness management in clinical practice. Int J Med Inform 2004; 73: 797-805.
49 Sciamanna CN, Novak SP, Marcus BH. Effects of using a computer in a doctor’s office on patient attitudes toward using computerized prompts in routine care. Int J Med Inform 2005; 74: 357-65.
50 Szot A. et al. Diagnostic accuracy of chest x-rays acquired using a digital camera for low-cost teleradiology. Int J Med Inform 2004; 73 (01) 65-73.
51 Takalo R, Saul JP, Korhonen I. Comparison of closed-loop and open-loop models in the assessment of cardiopulmonary and baroreflex gains. Methods Inf Med 2004; 43: 296-301.
52 Toth-Pal E, Nilsson GH, Furhoff AK. Clinical effect of computer generated physician reminders in health screening in primary health care - a controlled clinical trial of preventive services among the elderly. Int J Med Inform 2004; 73: 695-703.
53 van Ast JF. et al An approach to knowledge base construction based on expert opinions. Methods Inf Med 2004; 43: 427-32.
54 Zafar A. et al A simple error classification system for understanding sources of error in automatic speech recognition and human transcription. Int J Med Inform 2004; 73: 719-30.