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VINSIA: Visual Navigator for Surgical Information Access GQ Zhang 1 , PhD, Lingyun Luo 1 , PhD, James Rowbottom 2 , MD, John Craker 2 , MSN, Rong Xu 1 , PhD 1 Case Western Reserve University, 2 University Hospitals Case Medical Center, OH 44106 Abstract We present a graphical, anatomy- driven navigation interface called VINSIA for information delivery at the point of care. VINSIA has been developed by expanding Semantic MediaWiki (SMW [1]) to organize and classify information using four axes: Anatomy, Location, Topic and User. These axes provide the building blocks for faceted information access: any content item in VINSIA can be accessed through any facet with limited need for entering a search term. Preliminary testing of a pilot site demonstrates the feasibility and advantages of VINSIA for high-precision, quick navigation to targeted content items. Methods Extension Conclusion Information in VINSIA is categorized into four axes: Anatomy, Location, Topic and User. The Anatomy axis captures the anatomical hierarchy based e.g. on FMA. The Location axis captures physical locations in a hospital setting where the information is used or needed. The Topic axis captures the specific types of information. Finally the User axis captures a hierarchy of user permissions for access control. We use Semantic MediaWiki [1] as the background framework for implementing the axes. 1. Click heart area 2. Cleck the Cardiac Valves picture 3. Click Aortic valve 4. Select topic "Clinical Management" VINSIA provides a high-precision, visual, anatomy based navigation interface for clinicians in perioperative and critical care environments. The efficiency of VINSIA is measured by the total number of primitive computer interactions (key strokes and mouse drags or clicks). VINSIA is also semanticdriven because of its Semantic MediaWiki implementation environment. Importing high quality content into VINSIA is a critical prerequisite for fulfilling its function. To support this, VINSIA provides an interactive interface for qualified users to upload contents and tag them with categories in every facet. For example, to access contents specifically on aortic valve, one clicks the “heart” on the “human body”, followed by the click sequence “cardiac valves” → “aortic valve”→ “clinical management” (Figure 2). This access mode only involves mouse clicking without any typing. Figure 2: Anatomy Navigation System Figure 6: Lungs page Figure 3: Categories Figure 4: Upload file to different categories Locatio n Anatomy Topic User Log In System User Managemen t Informat ion Upload Informat ion Access Figure 1: Structure Another way to get information in specific categories are by Category Search, as illustrated in Figure 5 below: Figure 5: Category search Except for Heart, the same procedure can be extended to other anatomies, Below is the Lungs page: References [1] http://www.semantic- mediawiki.org [2] Clinical Reference Sources at the Point of Care, Has the Dream been realized? AMIA 2010 Annual Symposium Roundtable.

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VINSIA: Visual Navigator for Surgical Information Access GQ Zhang1, PhD, Lingyun Luo1, PhD, James Rowbottom2, MD, John Craker2, MSN, Rong Xu1, PhD

1Case Western Reserve University, 2University Hospitals Case Medical Center, OH 44106

Abstract

We present a graphical, anatomy-driven navigationinterface called VINSIA for information delivery at thepoint of care. VINSIA has been developed by expandingSemantic MediaWiki (SMW [1]) to organize and classifyinformation using four axes: Anatomy, Location, Topicand User. These axes provide the building blocks forfaceted information access: any content item in VINSIAcan be accessed through any facet with limited need forentering a search term. Preliminary testing of a pilot sitedemonstrates the feasibility and advantages of VINSIAfor high-precision, quick navigation to targeted contentitems.

Methods

Extension

Conclusion

Information in VINSIA is categorized into four axes:Anatomy, Location, Topic and User. The Anatomy axiscaptures the anatomical hierarchy based e.g. on FMA. TheLocation axis captures physical locations in a hospital settingwhere the information is used or needed. The Topicaxis captures the specific types of information. Finally theUser axis captures a hierarchy of user permissions foraccess control.We use Semantic MediaWiki [1] as the backgroundframework for implementing the axes.

1. Click heart area

2. Cleck the Cardiac Valves picture

3. Click Aortic valve

4. Select topic

"Clinical Management"

VINSIA provides a high-precision, visual, anatomy basednavigation interface for clinicians in perioperative and critical care environments. The efficiency of VINSIA is measured by the total number of primitive computer interactions (key strokes andmouse drags or clicks). VINSIA is also semanticdriven because of its Semantic MediaWiki implementation environment. Importing high quality content into VINSIA is a critical prerequisite for fulfilling its function. To support this, VINSIA provides an interactive interface for qualified users to upload contents and tag them with categories in every facet.

For example, to access contents specifically on aortic valve, one clicks the “heart” on the “human body”, followed by the click sequence “cardiac valves” → “aortic valve”→ “clinical management” (Figure 2). This access mode only involves mouse clicking without any typing.

Figure 2: Anatomy Navigation System

Figure 6: Lungs page

Figure 3: Categories Figure 4: Upload file to different categories

Location

Anatomy

Topic

User Log In System

User Management

Information Upload

Information Access

Figure 1: Structure

Another way to get information in specific categories are by Category Search, as illustrated in Figure 5 below:

Figure 5: Category search

Except for Heart, the same procedure can be extended to other anatomies, Below is the Lungs page:

References

[1] http://www.semantic-mediawiki.org[2] Clinical Reference Sources at the Point of Care, Has theDream been realized? AMIA 2010 Annual SymposiumRoundtable.