Guiding
Principles for
Big Data in
Nursing
Developed by:
HIMSS CNO-CNIO Vendor
Roundtable
About HIMSS
HIMSS is a global, cause-based, not-for-profit
organization focused on better health through information
technology (IT).
Vision: Better health through information technology
Mission: Globally, lead endeavors optimizing health
engagements and care outcomes through information
technology
About the HIMSS CNO-CNIO Vendor
Roundtable
• Established in January 2014
• Includes HIMSS Diamond and Platinum member
nurse executives
• Co-facilitators
– Gail Latimer, MSN, RN, FACHE, FAAN
– Roy Simpson, DNP, RN, DPNAP, FAAN
• 3 workgroups established
• Staff liaisons
– Maria Thornblad, Christel Anderson & Joyce Sensmeier
HIMSS CNO-CNIO Vendor Roundtable
Purpose & Objectives
• To optimize health engagement and care
outcomes through IT by leveraging the thought
leadership of HIT vendor nurse executives
– Serve as an advocate and leader for the
nursing community
– Provide guidance on informatics
competencies for nursing
– Provide guidance on EHR related topics
including analytics, interoperability, usability,
terminology, workflow, quality and outcomes
Workgroup Structure
• Vendor Nurse Role
– Define the nurse vendor leadership role,
identify competencies and value to the
profession
• Human Factors, Usability, Safety
– Identify resources and opportunities to improve
knowledge re: human factors, usability & safety
• Big Data Principles
– Develop big data principles/recommendations
Big Data Principles Workgroup
Member
Title
Organization
Ellen Harper, DNP, RN-BC,
MBA, FAAN co-chair
Vice President,
CNO - Premier West
Cerner
Joyce Sensmeier, MS, RN-BC,
CPHIMS, FHIMSS, FAAN cochair
Vice President, Informatics
HIMSS
Sue Lundquist, BSN, RN-BC
Director, Patient Care
Solutions, Health Services
Cerner
Marion McCall, BBA, RN,
CNOR, CPHIMS
Chief Clinical Officer
OverSite Solutions
Beth Meyers, RN, MS, CNOR
Chief Nurse Executive,
Analytics Strategy Director
Infor
Sara Parkerson, RN, MSN
Clinical Solution
Development
Manager
Philips
Libby Rollinson, MSN, RN
Director, Content Solutions,
Enterprise Information
Solutions
McKesson
Why Big Data?
• Organizations are keen on gaining insights and instituting
organizational change from the vast amounts of data being
collected from their EHR systems.
• Participants in the healthcare ecosystem are trying to reduce
the cost and improve the quality of care by applying advanced
analytics to both internally and externally generated data.
• Technological advances enable larger volumes of structured
and unstructured data to be managed and analyzed through
faster, more efficient and cheaper computing (processors,
storage, and advanced software) and through pervasive
computing (telecomputing, mobile devices and sensors).
HIMSS Data and Analytics Task Force July 2014
Big Data - Sharable & Comparable
Harper, E. (2015). Clinical Integration and the Continuum of Care [PowerPoint slides]. Retrieved from
http://files.himss.org/2015Conference/handouts/NI5_1428848643264_4.pdf
Top 10 Recommendations
Promote Standards and Interoperability
1) Nurses should promote the use of standardized
and accepted terminologies that address the
documentation needs of the entire care team
regardless of care setting. All care delivery settings
should create a plan for implementing an ANArecognized nursing terminology that is mapped to
national standards i.e. SNOMED CT or LOINC
Top 10 Recommendations
Promote Standards and Interoperability
2) Nurses should recommend consistent use of
research-based assessment scales and instruments
that are standardized through an international
consensus body. The lack of standardization makes
comparison of data challenging and adds to the
burden of cost for copyright permissions and/or
licensing of such instruments
Top 10 Recommendations
Promote Standards and Interoperability
3) The ANA-recognized nursing terminologies should
be consistently updated and made available to
international standards organizations for translation
and complete, comprehensive mapping
Top 10 Recommendations
Promote Standards and Interoperability
4) Minimize use of free text documentation. When
‘within defined limits’ is used, discrete data elements
should be stored within the EHR to enable decision
support, research, analytics and knowledge
generation
Cerner. (2015). Clinical Integration and the Continuum of Care [PowerPoint slides]. Retrieved from
http://files.himss.org/2015Conference/handouts/NI5_1428848643264_4.pdf
Top 10 Recommendations
Advance Quality eMeasures
5) 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
Top 10 Recommendations
Advance Quality eMeasures
6) 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
Top 10 Recommendations
Advance Quality eMeasures
7) 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
Top 10 Recommendations
Advance Quality eMeasures
8) Clinical quality eMeasures
must support evidence-based,
cost effective care that follows
clinical practice guidelines
and minimizes the negative
impact on clinicians’ workflow
Research – Bridge the Gap
EHR Data
Claims
Data
Staffing
Data
Medication
Data
Benchmark
Data
Health
Plan Data
Financial
Data
Device Data
Monitors, Vents,
Smart Pumps
Move to a Learning
Health System
Cerner. (2015). Clinical Integration and the Continuum of Care [PowerPoint slides]. Retrieved from
http://files.himss.org/2015Conference/handouts/NI5_1428848643264_4.pdf
Top 10 Recommendations
Leverage Nursing Informatics Experts
9) Healthcare organizations should
utilize nurse informaticists who will
provide valuable insight into
concept representation, design,
implementation and optimization of
health IT to support evidencebased practice, research and
education
http://www.himss.org/ni-impact-survey
Top 10 Recommendations
Leverage Nursing Informatics Experts
10) To achieve the desired outcomes, nurse
informaticists should have formal informatics training
education and certification
Learn More
Guiding Principles for Big Data in Nursing
www.himss.org/big10
HIMSS CNO-CNIO Vendor Roundtable
www.himss.org/cno-cnio-vendor-roundtable
HIMSS Nursing Informatics Community
www.himss.org/ni
Contact Information
Joyce Sensmeier MS, RN BC, CPHIMS, FHIMSS, FAAN
Vice President Informatics, HIMSS
jsensmeier@himss.org
HIMSS Nursing Informatics Community
www.himss.org/ni