10 strategies for nurses and big data
Drawn from the "Guiding Principles for Big Data in Nursing" report, put together earlier this spring by the HIMSS CNO-CNIO Vendor Roundtable, these 10 principles are meant to point the way toward smarter use of data by nurses and nurse informaticists.
As those on the front line look to harness data to improve quality, safety, communication, coordination and cost-effectiveness, the roundtable finds that standards and interoperability, broader use of electronic clinical quality measures and more targeted use of CNIO expertise will be essential to making the most of this new data proliferation.
Learn more about HIMSS' nursing informatics initiatives here.
Nurses should promote the use of standardized and accepted terminologies that address the documentation needs of the entire care team regardless of care setting, according to HIMSS. All care delivery settings should create a plan for implementing an ANA-recognized nursing terminology that is mapped to national standards i.e. SNOMED CT or LOINC.
Consistency is key
Nurses should recommend consistent use of research-based assessment scales and instruments that are standardized through an international consensus body, the report suggests. Lack of standardization makes comparison of data challenging and adds to the burden of cost for copyright permissions and/or licensing of such instruments.
Share and share alike
The ANA-recognized nursing terminologies should be consistently updated and made available to international standards organizations for translation and complete, comprehensive mapping, according to the CNO-CNIO roundtable.
Structure is a must-have
The use of free text documentation should be minimal, according to HIMSS. When "within defined limits" is used, discrete data elements should be stored within the EHR to enable decision support, research, analytics and knowledge generation.
Work within existing workflows
Efforts to develop and design quality eMeasures must ensure the data to be collected and measured are aligned with the clinician’s workflow, not as additional documentation, according to the report.
Be smart about data collection
To advance nursing-sensitive quality eMeasures, paper measure sets must be evaluated for appropriateness, and expectations set for which data should be collected, how the data are collected and the required terminologies to be used, HIMSS suggests
Plan in advance
Initiatives and programs that define and promote new quality eMeasures and their requirements should allow time for testing and piloting with defined timeframes that consider all stakeholders.
Follow the evidence
Clinical quality eMeasures must support evidence-based, cost effective care that follows clinical practice guidelines and minimizes the negative impact on clinicians’ workflow, according to HIMSS.
Make the most of smart RNs
Healthcare organizations should utilize nurse informaticists who will provide valuable insight into concept representation, design, implementation and optimization of health IT to support evidence- based practice, research and education.