The 'IBB Blood Transfusion Packs' Eliminate Medical Mistakes
Alexander Lam — June 6, 2013 — Lifestyle
References: red-dot.sg & yankodesign
Designers Lee Hye Jung, Kim Byung Soo, Chae Ju Eun and Kim Bo Mi designed the 'IBB Blood Transfusion Packs' in order to reduce medical mistakes. The stylish bags were built to replace traditional blood packs that are not labeled very clearly. IBB Packs were created with built-in labeling that eliminates the possibility of grabbing the wrong type of blood.
Large transparent letters were printed on the front of blood bags in order to indicate the type of blood within. Since the rest of the bag is translucent, the transparent lettering really stands out. The label's transparency also has the side benefit of giving the lettering a dark red hue when the bag contains blood. As a result, the label acts a status bar as blood is slowly used.
Large transparent letters were printed on the front of blood bags in order to indicate the type of blood within. Since the rest of the bag is translucent, the transparent lettering really stands out. The label's transparency also has the side benefit of giving the lettering a dark red hue when the bag contains blood. As a result, the label acts a status bar as blood is slowly used.
Trend Themes
1. Smart Healthcare Packaging - Opportunity to create healthcare packaging that communicates critical information and reduces medical errors.
2. Innovative Transfusion Technology - Opportunity to revolutionize blood transfusion procedures with modernized technology
3. Data-driven Medical Solutions - Opportunity to use data to enhance medical processes, improve patient safety, and reduce errors
Industry Implications
1. Healthcare Packaging - Opportunity for companies to invest in the development of packaging solutions that improve patient safety and minimize errors
2. Medical Technology - Opportunity to develop new and innovative technology that improves medical processes and reduces the risk of errors
3. Healthcare Data Analytics - Opportunity to tailor medical solutions based on data-driven insights, improving patient outcomes and reducing errors
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