Methods Inf Med 2019; 58(02/03): 061-062
DOI: 10.1055/s-0039-1695764
Editorial
Georg Thieme Verlag KG Stuttgart · New York

Current Trends in Biomedical and Health Informatics

Sabine Koch
1   Health Informatics Centre, Department of Learning, Informatics, Management and Ethics, Karolinska Institutet, Stockholm, Sweden
› Author Affiliations
Further Information

Publication History

Publication Date:
12 September 2019 (online)

Introduction

Biomedical and health informatics (BMHI) as an interdisciplinary field of research and practice is growing, and research topics and trends are evolving rapidly. The future of the field has been subject to scientific discussions and bibliometric analyses have been published regularly in different BMHI journals. A recent cluster analysis of scientific publications in BMHI during 2006 to 2017 revealed five different clusters whereof two, namely “Mobile Health” and “Clinical Informatics,” describe upcoming topics.[1] The remaining three clusters, namely “Organizational Aspects of Health Information Systems,” “Biomedical Data Analysis,” and “Electronic Health Records and Knowledge Representation” correspond to clusters that were found in a previous analysis of research publications by other authors for the time period 1993 to 2007.[2]

The “Mobile Health” topic elicited in[1] relates very much to the field of consumer health informatics. Accordingly, another study found that most publications in the area of consumer health informatics during 2014 to 2016 dealt with “Mobile Health” and “Patient-Generated Health Data (PGHD).”[3] From another perspective, the results of the American Medical Informatics Association (AMIA) 2015 year-in-review in clinical and consumer informatics were organized under three themes: the electronic health record (EHR), the learning health system, and consumer engagement.[4]

 
  • References

  • 1 Gülkesen KH, Haux R. Research subjects and research trends in medical informatics. Methods Inf Med 2019; 58 (S 01): e1-e13
  • 2 Schuemie MJ, Talmon JL, Moorman PW, Kors JA. Mapping the domain of medical informatics. Methods Inf Med 2009; 48 (01) 76-83
  • 3 Lai AM, Hsueh PS, Choi YK, Austin RR. Present and future trends in consumer health informatics and patient-generated health data. Yearb Med Inform 2017; 26 (01) 152-159
  • 4 Roberts K, Boland MR, Pruinelli L. , et al. Biomedical informatics advancing the national health agenda: the AMIA 2015 year-in-review in clinical and consumer informatics. J Am Med Inform Assoc 2017; 24 (e1): e185-e190
  • 5 Haux R, Kulikowski CA, Bakken S. , et al. Research strategies for biomedical and health informatics, Some thought-provoking and critical proposals to encourage scientific debate on the nature of good research in medical informatics. Methods Inf Med 2017; 56 (Open): e1-e10
  • 6 Juárez D, Schmidt E, Stahl-Toyota S, Ückert F, Lablans M. A generic method and implementation to evaluate and improve data quality in distributed research networks. Methods Inf Med 2019; 58 (02) 86-93
  • 7 Xie Z, Yang Y, Wang M. , et al. Introducing information extraction to radiology information systems to improve the efficiency on reading reports. Methods Inf Med 2019; 58 (02) 94-106
  • 8 Chandler A, Mutharasan KR, Amelia L, Carson M, Scholtens D, Soulakis N. Risk adjusting health care provider collaboration networks. Methods Inf Med 2019; 58 (02) 71-78
  • 9 Nair B, Nair A, Velagapudi M. , et al. Hyper-G, an artificial intelligence tool for optimal decision making and management of blood glucose levels in surgery patients. Methods Inf Med 2019; 58 (02) 79-85
  • 10 Alfayez W, Al-Rayes S, Alumran A. The Adoption of the electronic health record by physicians. Methods Inf Med 2019; 58 (02) 63-70
  • 11 Wilkinson MD, Dumontier M, Aalbersberg IJ. , et al. The FAIR guiding principles for scientific data management and stewardship. Sci Data 2016; 3: 160018