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Nursing Knowledge: Big Data Research Summit Clinical LOINC Report. Susan Matney, MSN, PhD(c), RN-C, FAAN Informaticist 3M Health Information Systems Chair SNOMED CT Nursing Special Interest Group Chair Clinical LOINC Nursing Subcommittee.

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Nursing knowledge big data research summit clinical loinc report

Nursing Knowledge: Big Data Research Summit Clinical LOINC Report

Susan Matney, MSN, PhD(c), RN-C, FAAN

Informaticist 3M Health Information Systems

Chair SNOMED CT Nursing Special Interest Group

Chair Clinical LOINC Nursing Subcommittee

Nursing Knowledge: Big Data Research for Transforming Healthcare


Conference purpose
Conference Purpose

  • National leaders in nursing, healthcare, and informatics came together to develop an action plan for shaping health policy and informatics initiatives that use a national nursing knowledge model.

  • Goal was to guide consistent nursing documentation and data collection to support big data research

  • Presentations given re:

    • vision of the future

    • enablers, gaps and challenges

  • Participatedin multiple, iterative, facilitated discussions


Ultimate goal
Ultimate Goal

  • As knowledge workers, nurses must leverage clinical data from the EHR to:

    • Optimize workflow and support clinical decision-making

    • Tell the patient’s story

    • Collaborate to foster knowledge translation

    • Leverage analytics to extract actionable knowledge

    • Use sharable, comparable data

    • Build evidence out of nursing practice


Nursing knowledge
Nursing Knowledge

Knowledge Translation: The exchange, synthesis and application of knowledge within a complex system.

Knowledge Transfer: A systematic approach to capture, collect and share tacit knowledge in order for it to become explicit knowledge.

Knowledge Model: The capture of knowledge in an electronic reusable format for the purpose of preserving, improving, sharing, aggregating and reapplying it.



Care plan relationships happy path
Care Plan Relationships (Happy Path

RELATES TO

Observation [mood EVN]

Health Concern [mood EVN]

Goal [mood GOL]

REASON FOR

EVALUATES

REASON FOR

IS COMPONENT OF

SUPPORTS

RELATES TO

Intervention [mood: INT/ RQO/ etc.]

[mood: EVN]

Outcome Observation [mood EVN]

CAUSES


Storyboard example

Setting

Storyboard Example

  • Joe is a 24 year-old male quadriplegic admitted to an inpatient unit from his home. During admission assessment, the nurse notes that he has no sensation from the shoulders down. He is confined to a wheelchair and requires two-person assist. His skin is occasionally moist. Joe reports that he is a “good eater” and is on a normal diet. The nurse completes the Braden Skin Scale score is 13. Further assessment by the nurse reveals skin is intact with no pressure ulcers.

Hx. Subjective

Findings

Assessment Observations


Simple skin assessment happy path
Simple Skin Assessment (Happy Path)

RELATES TO

Observations:

Decreased Sensation

Limited Mobility

Braden scale = 13

Health Concerns:

Impaired mobility

Risk for alteration in skin Integrity

Goal: No skin breakdown

REASON FOR

EVALUATES

REASON FOR

IS COMPONENT OF

SUPPORTS

RELATES TO

Interventions:

Turn q 4 hours

Assess skin q shift

Outcome Observation

CAUSES


Interoperability using

the DIKW Framework



Interoperability using

the DIKW Framework



Key drivers in enabling knowledge model
Key drivers in enabling knowledge model

  • Knowledge exists in paper - Care plans

  • Knowledge exists in vended EHRs (non standardized)

  • Structured Nursing Knowledge beginning to emerge (e.g. Pressure Ulcer Models)

  • Standardized terminology

    • SNOMED CT, LOINC, RxNORM, CPT, ICD-10-CM

  • HIT standards

    • HL7, ONC, PHIN-VADS, VSAC


Action plan
Action Plan

  • Integrate nursing information into health and healthcare knowledge systems

  • Optimize nursing language and healthcare information

  • Influence policy

  • Modify and standardize the informatics educational framework.


Specific actions
Specific Actions

  • Develop a strategy/campaign for educating front line nurses, students, and faculty on informatics competencies and the value of standardized nursing data;

  • Advocate for the adoption of SNOMED CT and LOINC as national standards for clinical data, and link them with nursing terminologies through mappings;

  • Convene a consensus conference with leaders of the major nursing organizations and interprofessional stakeholders to educate them, hear their views, and ultimately, speak with one voice;

  • Refresh and activate the ANA’s NIDSEC (Nursing Information & Data Set Evaluation Center) criteria to advance systems that represent and value nursing data; and

  • Participate in standards and profile development to ensure a nursing voice.


Clinical loinc committee actions
Clinical LOINC Committee Actions

  • Clinical LOINC Nursing Subcommittee

    • Have a specific landing page on LOINC site.

    • Provide access to all LOINC tutorials.

    • Call and hold a meeting to gather nursing LOINC requirements

  • Slides for informatics educators.

  • Assessment Panels

    • Organize in one place in RELMA

    • Provide SNOMED CT enumerated values where available.

  • Maintain LOINC mappings to nursing terminology

    • CCC Outcomes

    • Omaha Outcomes

  • Structured Docs

  • Review ANA’s NIDSEC (Nursing Information & Data Set Evaluation Center) where it pertains to clinical observations.


Vision of the Future

NURSING IS VISIBLE

In Health Information Systems

NURSINGDATA ARE AVAILABLE

To Promote Evidence-Based, Quality Nursing Practice


Questions

Questions?

samatney@mmm.com


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