Analysis of the international classification of occupations for the health informatics and information management workforce.

Background: With the increasing adoption of digital health, health informatics and information management (HIIM) professionals are more essential than ever before. This paper explores the difficulties encountered when trying to classify and track the HIIM workforce internationally.

Methods: A historic document analysis method to explore how the International Standard of Classifications (ISCO) and the available national standards from countries using an alternative classification represent the HIIM workforce.

Challenges and Needs in Digital Health Practice and Nursing Education Curricula: Gap Analysis Study.

Background: Australian nursing programs aim to introduce students to digital health requirements for practice. However, innovation in digital health is more dynamic than education providers' ability to respond. It is uncertain whether what is taught and demonstrated in nursing programs meets the needs and expectations of clinicians with regard to the capability of the nurse graduates.

Roles and Responsibilities of the Global Specialist Digital Health Workforce: Analysis of Global Census Data.

Background: The Global Specialist Digital Health Workforce Census is the largest workforce survey of the specialist roles that support the development, use, management, and governance of health data, health information, health knowledge, and health technology.

Objective: This paper aims to present an analysis of the roles and functions reported by respondents in the 2023 census.

Methods: The 2023 census was deployed using Qualtrics and was open from July 1 to August 13, 2023.

Generalizability of a Musculoskeletal Therapist Electronic Health Record for Modelling Outcomes to Work-Related Musculoskeletal Disorders.

Purpose: Electronic Health Records (EHRs) can contain vast amounts of clinical information that could be reused in modelling outcomes of work-related musculoskeletal disorders (WMSDs). Determining the generalizability of an EHR dataset is an important step in determining the appropriateness of its reuse. The study aims to describe the EHR dataset used by occupational musculoskeletal therapists and determine whether the EHR dataset is generalizable to the Australian workers' population and injury characteristics seen in workers' compensation claims.

National survey on understanding nursing academics' perspectives on digital health education.

Aim: This study explored the knowledge and confidence levels of nursing academics in teaching both the theories and practical skills of digital health in undergraduate nursing programs.

Design: A cross-sectional study.

Methods: A structured online survey was distributed among nursing academics across Australian universities.