Hunter New England Nursing and Midwifery Research Strategic Plan 2022-2024
Strategic priority 4
Increase and promote the utilisation and application of data-driven research
| Priorities | Actions | Outcomes | Indicators |
|---|
| Increase awareness and use of available clinical data to inform research | - Promote the use of routinely collected administrative, clinical or other health data (service or clinical registries and databases) within NMRC supported projects.
- Utilise existing clinical data obtained at the point of care to identify, support and substantiate clinical problems or evidence practice gaps leading to low value care and suboptimal consumer experience and outcomes.
- Promote and foster collaborations and partnerships with data custodians across the Local Health District, for example, HNELHD Research Data Lead, Performance Unit and other partners, for example, ACI, ACSQHC to support practice-based research.
- Promote and support good governance of health data use in research, especially in relation to data sovereignty for Aboriginal and Torres Strait Islander people.
- Promote and support organisational decision making based on data arising from research that enables the Local Health District to achieve its mission
| - Increased access to and use of clinical health data by nurses and midwives.
- Increased utilisation of existing clinical data to support research.
- Increased use of local and national health data to inform practice-based research.
- Ethical use of health-related data.
| - N’ NMRC projects utilising existing clinical data in outcome measures
|
| Develop education initiatives to support integration of clinical information in research | - Embed training opportunities related to data security and management in NMRC research capacity building initiatives.
- Engage local statisticians to help build capacity amongst clinician researchers regarding how to effectively utilise clinical data in research.
- Support clinician researchers to be confident and competent in undertaking data-driven research to inform health service decision-making.
- Where appropriate, support the use of patient reported outcome measures (PROMs) and patient reported experience measures (PREMs) in NMRC supported projects.
| - Increased awareness of appropriate use of data amongst clinician N&M researchers.
- Improved capacity in data analysis approaches and techniques.
- Enhanced culture of data-driven research within the disciplines of Nursing and Midwifery.
- Enable feedback processes related to clinical service evaluation and areas for improvement
| - Resources and education materials embedded in all research capacity building initiatives and available via NMRC web portal.
|
| Collaborate with partners to share resources | - Collaborate with industry and academic partners from UoN Business School to grow NMRC capacity around the use of machine learning, automation and artificial intelligence in a bid to drive innovation in healthcare service delivery.
- Identify and support opportunities to collaborate with industry partners to improve patient and health outcomes through the application of innovative technologies and products.
- Establish a working group with HNELHD Nursing and Midwifery Service and Clinical Governance to increase information sharing and collaboration related to quality improvement initiatives, and opportunities for research.
| - Improved visibility and access to available supports and resources to drive innovation.
- Support innovative solutions to clinical problems.
- Adopt data-driven approach to research enquiry and intervention development.
- Research informed quality improvement activity.
| - N’ NMRC projects with data-driven outcome measures
- Partnership working group established.
|
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