Yearb Med Inform 2017; 26(01): 72-77
DOI: 10.15265/IY-2017-021
Section 1: Health Information Management
Georg Thieme Verlag KG Stuttgart

Health Information Management: Changing with Time

S. H. Fenton
1  University of Texas School of Biomedical Informatics, Houston, TX, USA
S. Low
2  Australian Institute of Health Service Management, University of Tasmania, Australia
K. J. Abrams
3  Canadian College of Health Information Management, Canada
K. Butler-Henderson
2  Australian Institute of Health Service Management, University of Tasmania, Australia
› Author Affiliations
Further Information

Publication History

18 August 2017

Publication Date:
11 September 2017 (online)



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.