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You can find more information on the event on our wiki page here.

Following on from my earlier blog, here’s a rundown of the progress the teams have made so far:

After lunch the teams dived into their story-telling, ideation, and prototyping. After sharing what they learned, helping each other to be creative and come up with ideas, and working on mock-ups, they were ready to present their prototypes to the assembled DT coaches and domain experts.

Personally, I’m sure this rapid-fire 3 minute presentation/2 minute feedback session will have sharpened their focus on the 6 minute presentation they’ll need to give tomorrow after they’ve created their solutions, but for the moment it was a great opportunity to take some feedback on board so that they don’t try to pack in too many features or hit any snags.

Oh, and before you ask, there’s no team 6 (don’t ask me why either!)

Team 1: B-Fit, presented their eponymous application, which aims to allow Klaus (their 30 year-old SAP employee persona) to manage his health, fitness, and food habits. The app will allow Klaus to create a profile on his Blackberry with his statistics, and then to create and share workout plans with other users, learning what has worked for others, and receiving rewards for the successful plans he shares with them. In addition, the application will measure his statistics, mood, and other characteristics so that it captures as complete a picture as possible about Klaus and his health.

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Team 2: Cloudsitters have created Cloudsitter, an application intended to help reduce the anxiety that new parents experience regarding Sudden Infant Death Syndrome. While it’s a relatively rare occurrence, millions of new parents every year are terrified of the possibility it could affect their baby, especially if they were born prematurely. The app will help Julia, the mother of a new-born who arrived 1 month prematurely to feel less anxious about baby Jimmy, by using sensors to monitor his heart rate, breathing, and other statistics that are sent to the cloud. Should something then change, they will be alerted to this so they can check that Jimmy is okay.

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Team 3: Dr. Schultz, is a cardiologist, 45, and the head of the department at his hospital. He needs better access to information, which he and the other doctors can share efficiently, so he can make faster diagnoses and provide better treatments. He can use a tag-based search function for symptom combinations and access anonymized patient treatment records to identify treatments that have worked in the past.

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Team 4: Medisight, presented their prototype Medisight application for patient handovers when doctors have returned from time off. The application allows them to access all the key patient information, including their room, along with a record of all their statistics and lab records that have changed while they were away from the hospital. This allows them to quickly identify any changes in their patient that they need to be aware of, so they can be better informed when discussing courses of treatment for the patient.

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Team 5: Die Healthy, want to help Mary, their 35 year-old mother-of-2, with the support she needs to be a better role-model for her kids. Mary is an insurance broker who is very busy but also loves junk food. She needs something to help her to be healthier ad stay motivated, but without complications. Their app will use sensors to collect data about Mary, allow her to access a history of her data, and allow comparisons with people in a similar cohort. It will also make predictions on future health based on current lifestyle. If there is a worrying change in her condition, she will be alerted and provided with a list of questions and potential explanations to dismiss any false alarms.

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Team 7: BB7, have prototyped Transport Diagnostics with Confidence (TDC) to assist Barbara Best, 32, a heart surgeon at a university hospital. She wants accurate diagnostics, to build on the knowledge of her more experienced colleagues, and to provide transparency for her patients. By breaking down hierarchies at the hospital, the level of diagnosis can be improved regardless of the doctor’s level of experience. By using an application with push notifications of lab results she can access all the information she needs, along with treatment recommendations based on patient symptoms. If she has any doubts, she can ask her more experienced colleagues for their opinions. If a patient presents a previously-unseen set of symptoms, then the app allows the creation of a new case file so that it can be documented for future reference.

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Team 8: Hospital MyCare have created a prototype to help Florence, a head nurse in charge of shift change at her hospital. Florence loves to plan, loves her work, and her patients. She hates inefficiency, interruptions, and double work. The app is intended to smooth the shift-change process, where time pressure is crucial but a lot of information must be exchanged. A dynamic checklist approach based on user information and other information sources such as sensor data can be enhanced with manual and system-suggested steps to help ensure that no critical information is left out of the handover process.

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