Why Conceptualize Interoperability in Health Information Management Education?

In contemporary health systems, data is the primary raw material for clinical care, management, research, and policy. For Health Information Management (HIM) professionals, the ability to move, interpret, and use data safely across organisational and technological boundaries, interoperability is now central to practice. Interoperability in HIM education should be treated as a core professional competency, not just a technical buzzword. In most health systems, data now underpins clinical decision making, financing, research, and governance. For (HIM) professionals, the real question is no longer whether data exist, but whether they can be shared, understood, and used safely across multiple platforms and organisations. That is the essence of interoperability, and it must be taught and researched with conceptual precision.

We propose that HIM educators and researchers explicitly conceptualize interoperability as an independent variable in both curriculum design and empirical studies. When defined this way, interoperability becomes a system attribute that is hypothesised to influence a range of dependent variables such as data quality, workflow efficiency, clinician workload, care coordination, patient safety, patient engagement, and cost. This shift in framing forces us to move beyond slogans (“we need interoperable systems”) to testable propositions (“higher interoperability will reduce duplicate data entry and improve medication reconciliation”).

Conceptualizing interoperability in this way also highlights that it is multidimensional, not a simple “yes/no” condition. In teaching, we should help students differentiate at least five key dimensions:

• Technical: connectivity, messaging standards, APIs, and interfaces.
• Semantic: use of standard terminologies and mappings that preserve meaning.
• Process: alignment of workflows across departments and organisations.
• Organisational: governance, trust, and data sharing agreements among stakeholders.
• Infrastructure: platforms, HIE participation, and integration engine capabilities.

Each dimension can be operationalised using simple tools that are accessible in diverse contexts: maturity scales, checklists, adoption indices, or typologies. For example, a “level 0–4” typology might range from no electronic exchange, through basic document exchange, to advanced FHIR based APIs with third party apps. Students can then design studies that ask which level or dimension matters most for each outcome.

This conceptual discipline directly strengthens research design in HIM. It prompts careful choices about unit of analysis (hospital, network, department, specific referral pathway) and about time (static levels versus improvement over time). It also encourages students to specify mediating mechanisms, such as information completeness, workflow efficiency, or clinician burnout, rather than assuming a direct effect of interoperability on outcomes.

For the IFHIMA community, adopting this approach in education and research can yield two benefits. First, it produces graduates who can think critically about interoperability beyond vendors’ marketing language. Second, it generates more rigorous, comparable evidence on how different facets of interoperability contribute to better health information management and, ultimately, better patient care in both high and low resource settings.

Authors:

Garba Nafada Babale
NHIA, Aminu Kano Teaching Hospital, Kano State, Nigeria

Jacob Kehinde Opele
Federal University, Oye Ekiti, Ekiti State, Nigeria

Zainab Abdulazeez
NHIA, Aminu Kano Teaching Hospital, Kano State, Nigeria