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KIN
SSESSMENT
FOR
RESSURE ULCER
REVENTION
NTEGRATED
ECORDING
NVIRONMENT
HYEONEUI KIM, HEEJOON CHUNG,
JEEYAE CHOI, SHUANG WANG,
XIAOQIAN JIANG
UNIVERSITY OF CALIFORNIA, SAN DIEGO
UNIVERSITY OF WISCONSIN, MILWAUKEE
SAPPIRE
http://dbmi-engine.ucsd.edu/ONC/
FUNCTIONAL HIGHLIGHTS
• Supporting data exchange using CCR (Continuity of Care Records)
• Easy and flexible mechanism of incorporating additional assessment
items
• Easy and robust mechanism of standardizing local assessment items
• Skin and wound image capture
• Customizable smart information display for pressure ulcer risk
assessment: discrete patient data items relevant to a specific
pressure ulcer risk factor are displayed as reference information
during the risk assessment
SAPPIRE
TECHNICAL HIGHLIGHTS
• Standard Terminology Mapping: LOINC and SNOMED-CT
• Customizable standard dictionary: users can expand and reimport into SAPPIRE
• Demo version: expanded FHIM spreadsheet based on the HL7 Pressure Ulcer Prevention DAM
and NPUAP guideline (available for download at http://dbmi-engine.ucsd.edu/ONC/#download )
• Mapping between standards and local assessment items supports
post-coordination of qualifier concepts (e.g., severity, laterality, etc)
• Rule-based display of discrete patient data associated with specific
risk factors for pressure ulcer risk assessment
• XML parser/converter written in JavaScript to import/export CCR
document (adopted the Result template for the assessment data)
• Native application built on the Android 4.1 platform*
SAPPIRE
* Developed with Samsung Galaxy phone
OVERVIEW
NEW OPPORTUNITIES
• Expand to IOS and Web platforms, different languages
• Test with broader spectrum of assessment data relevant to pressure
ulcer risk (e.g., activity, sensory, nutrition, etc)
• Further streamline the system workflow and improve look and feel with
formal usability testing
• Develop a CCR template for nursing observation/assessment
• Incorporate the algorithms for automated pressure ulcer risk assessment
into the application (based on the prior works by the team1,2)
• Training in clinical informatics: continue providing training to the 3 team
members who are biomedical informatics trainees
SAPPIRE
1Kim H, et al. Automating pressure ulcer risk assessment using documented patient data. Int J Med Inform. 2010 Dec;79(12):840-8. PMID: 20869303.
2Kim H, et al. Building an ontology for pressure ulcer risk assessment to allow data sharing and comparisons across hospitals. AMIA Annu Symp Proc.
2010 Nov 13;2010:382-6. PMID: 21347005

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Sappire slides

  • 1. KIN SSESSMENT FOR RESSURE ULCER REVENTION NTEGRATED ECORDING NVIRONMENT HYEONEUI KIM, HEEJOON CHUNG, JEEYAE CHOI, SHUANG WANG, XIAOQIAN JIANG UNIVERSITY OF CALIFORNIA, SAN DIEGO UNIVERSITY OF WISCONSIN, MILWAUKEE SAPPIRE http://dbmi-engine.ucsd.edu/ONC/
  • 2. FUNCTIONAL HIGHLIGHTS • Supporting data exchange using CCR (Continuity of Care Records) • Easy and flexible mechanism of incorporating additional assessment items • Easy and robust mechanism of standardizing local assessment items • Skin and wound image capture • Customizable smart information display for pressure ulcer risk assessment: discrete patient data items relevant to a specific pressure ulcer risk factor are displayed as reference information during the risk assessment SAPPIRE
  • 3. TECHNICAL HIGHLIGHTS • Standard Terminology Mapping: LOINC and SNOMED-CT • Customizable standard dictionary: users can expand and reimport into SAPPIRE • Demo version: expanded FHIM spreadsheet based on the HL7 Pressure Ulcer Prevention DAM and NPUAP guideline (available for download at http://dbmi-engine.ucsd.edu/ONC/#download ) • Mapping between standards and local assessment items supports post-coordination of qualifier concepts (e.g., severity, laterality, etc) • Rule-based display of discrete patient data associated with specific risk factors for pressure ulcer risk assessment • XML parser/converter written in JavaScript to import/export CCR document (adopted the Result template for the assessment data) • Native application built on the Android 4.1 platform* SAPPIRE * Developed with Samsung Galaxy phone
  • 5. NEW OPPORTUNITIES • Expand to IOS and Web platforms, different languages • Test with broader spectrum of assessment data relevant to pressure ulcer risk (e.g., activity, sensory, nutrition, etc) • Further streamline the system workflow and improve look and feel with formal usability testing • Develop a CCR template for nursing observation/assessment • Incorporate the algorithms for automated pressure ulcer risk assessment into the application (based on the prior works by the team1,2) • Training in clinical informatics: continue providing training to the 3 team members who are biomedical informatics trainees SAPPIRE 1Kim H, et al. Automating pressure ulcer risk assessment using documented patient data. Int J Med Inform. 2010 Dec;79(12):840-8. PMID: 20869303. 2Kim H, et al. Building an ontology for pressure ulcer risk assessment to allow data sharing and comparisons across hospitals. AMIA Annu Symp Proc. 2010 Nov 13;2010:382-6. PMID: 21347005