Carolyn Wegner
 
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A Smart Ventilation Machine: 

Analyzing Data to humanizing data

 

TYPE: Medical

TEAM: Shib Sahoo Shankar, Martina Eriksson

ROLE:  Research, synthesis, ideation, prototyping, documentation (photographer + videographer)

DURATION: 10 weeks

 

PARTNER:

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AWARDS:

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Student Design Award, Tangible Embedded and Embodied Interaction Conference, Stockholm Sweden

 
 
 
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SIDeR 2018, Student Interaction Design Research Conference Paper Presentation, Aalto, Finland.

 
 

The Concept :

Tangible Data Manipulation 

Aero is a smart anesthesia ventilation machine that assists the nurse to monitor the patient, make assessments, and perform individualized care during surgery.  Aero integrates data physicalization with tangible manipulation, and translates the patient data into a dynamic form by simulating patient breathing frequency and lung condition.

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The Problem:

Data's loss of intrinsic meaning

When something as subjective as breathing is translated into numbers, its qualitative meaning is diluted.  The current ventilation machine's GUI limits the capacity of the nurse to perceive the intrinsic meaning of that data that is associated with the patient. The GUI also fails to utilize the full interaction potential between human and machine.  Furthermore, anesthesia nurses currently use statistical estimations and visual cues to set the patient's ventilation parameters, which can lead to cognitive overload, and avoidable partial lung collapse during pre-surgery intubation.

 

The Solution:

Physicalized Data

We address the current GUI’s limitations by converting patient data to a more comprehensive and physical form. Through this expressive mode of data translation, ventilation can be performed through tangible manipulation which also enables the anesthesia nurse to connect with their patient. Breathing graphs are translated in real time into dynamic forms that respond to direct interaction with the nurse.

 

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Aero's Components:

 
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Process

 

Field Research:

Location: 

Umea General Hospital; ICU, operating room

Umea Emergency Station; Ambulance 

Uppsala University Hospital; operating room

 
 
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Interviews

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Observation

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Participatory Learning

 
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Research Synthesis:

 
 
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Initial preparation of anesthesia/ventilation procedure timeline

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Digestion of research, operating room observations

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Understanding net processes and relations in OR system

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Filling up the Holken with research!

 

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How is sleep depth and pain measured during surgery?

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Mapping areas of interest with in emergency anesthesia + ventilation

Categorization:

After synthesis, we divided our research into three areas of interest

 
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Identifying areas of
problem or potential:

After co creation and validation workshops and interviews, we took a deep dive into the topic of ventilation,  identifying the following 5 areas. This helped us to determine the trajectory of our first ideation.

 
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Ideation:

 

How might we reduce cognitive overload, optimize human machine interaction, and connect the nurse to the patient?

 
 
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Prototyping

 

Dual Interface Development:

Quantitative versus Qualitative Data 

 
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Mapping Manipulated, collected, and communicated data in the ventilation process.

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Identifying qualitative and quantitative data.

Exploration: 

material, Data expression, and Manipulation 

 

Projection

Visual projection of anesthesia gas and oxygen flow within the lung.

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Can this give the anesthesia nurse qualitative information that accurately shows air distribution in the lungs?

Abstracted Fabric Lung

Responsive lung  mimics respiration rate, and experiments with expression of movement.

?

Can this physicalized lung accurately represent patient lung condition? How can is respond to touch?

JellyFish

Tangible resistance to simulate lung pressure and stiffness and give haptic feedback.

?

Can this method of tactile feedback give correlation between the data and patient to the nurse? Is there appropriate control through this direct manipulation?

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Sketching form and movement

 

Electronic + mechanical Components

 
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Incorporating Servo into prototype

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Having fun!

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Pressure sensitive lighting

 

Refinement of Concept Direction + Hybrid Fusion of Prototypes 

 

Mapping GUI and TUI relations, interactions.

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Sketching of GUI architecture.

 

Aero

 

Hybrid Systems Thinking:

How does Aero integrate into the ventilation process?

 
 
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GUI versus TUI:

How Aero Distributes and Expresses Data

 
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Interactions

 
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TUI Lung Pressure Expression

 

Aero's tangible user interface alerts nurse to patient lung condition through both physical form and color response.

 
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Normal Lung Pressure

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Low Lung Pressure

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High Lung Pressure

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Aero: A Smart Ventilation Machine

 
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Making of Aero:

 
 
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Filming Our Concept:

 
 
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