The efficient and timely access to patient data is essential for successful patient treatment in clinical wards. Even though, most of the patient data is stored electronically, e.g. in the electronic health record (EHR), relevant patient information is frequently captured, processed and passed in non-electronic form in day-to-day ward routines, e. g. during wardrounds or at shift handover. Following a disruptive design mode, we present a design and development approach comprising a fundamental visualization concept that is refined in a feedback-loop between computer scientists, sociologists and physicians in  order to support peri-operative collaborative workflows on a neurosurgical hospital ward. The resulting prototype realizes on-patient visualization methods using an anatomical avatar. It allows for the visual access of medical data with spatial reference relevant for spinal disc herniation and it handles various quantitative and qualitative medical data related to the same anatomical structure as well as referring to hidden and /or small anatomical structures with limited detectability. Furthermore, temporal changes of medical data are made accessible .
Electronic health records (EHR) systematically represent patient data in digital form. However, text and visualization based EHR systems are poorly integrated in the hospital workflow due to their complex and rather non-intuitive access structure. This is especially disadvantageous in clinical cooperative situations that require an efficient, task specific information transfer. In this paper we introduce a novel concept of anatomically integrated in-place visualization designed to engage with cooperative tasks on a neurosurgical ward. Based on the findings of our field studies and the derived design goals, we propose an approach that follows a visual tradition in medicine, which is tightly related with anatomy, by using a virtual patient's body as spatial representation of visually encoded abstract medical data. More specifically, we provide a generic set of formal requirements for these kinds of in-place visualizations, we apply these requirements in order to achieve a specific visualization of neurological symptoms related to the differential diagnosis of spinal disc herniation , and we present a prototypical implementation of the visualization concept on a mobile device. Moreover, we discuss various challenges related to visual encoding and visibility of the body model components. Finally, the prototype is evaluated by 10 neurosurgeons, who assess the validity and the further potential of the proposed approach .
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The efficient and timely access to patient data is essential for successful patient treatment in clinical wards. Even though, most of the patient data is stored electronically, e.g. in the electronic health record (EHR), relevant patient information is frequently captured, processed and passed in non-electronic form in day-to-day ward routines, e. g. during wardrounds or at shift handover. Following a disruptive design mode, we present a design and development approach comprising a fundamental visualization concept that is refined in a feedback-loop between computer scientists, sociologists and physicians
Electronic health records (EHR) systematically represent patient data
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digital form. However, text and visualization based EHR systems are poorly integrated in the hospital workflow due to their complex and rather non-intuitive access structure. This is especially disadvantageous in clinical cooperative situations that require an efficient, task specific information transfer. In this paper we introduce a novel concept of anatomically integrated in-place visualization designed to engage with cooperative tasks on a neurosurgical ward. Based on the findings of our field studies and the derived design goals, we propose an approach that follows a visual tradition in medicine, which is tightly related with anatomy, by using a virtual patient's body as spatial representation of visually encoded abstract medical data. More specifically, we provide a generic set of formal requirements for these kinds of in-place visualizations, we apply these requirements in
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support peri-operative collaborative workflows on a neurosurgical hospital ward. The resulting prototype realizes on-patient visualization methods using an anatomical avatar. It allows for the visual access of medical data with spatial reference relevant for
achieve a specific visualization of neurological symptoms related to the differential diagnosis of
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and it handles various quantitative and qualitative medical data related to the same anatomical structure as well as referring to hidden and /or small anatomical structures with limited detectability. Furthermore, temporal changes of medical data are made accessible
, and we present a prototypical implementation of the visualization concept on a mobile device. Moreover, we discuss various challenges related to visual encoding and visibility of the body model components. Finally, the prototype is evaluated by 10 neurosurgeons, who assess the validity and the further potential of the proposed approach