Reflection - Learning Launch 

 Challenge 

 I am a member of a team of 4   who are trying to solve a problem related healthcare . To be   specific we are controlling the dripping of saline bottle , monitoring the flow of saline and   pressure control in the saline bottle to avoid backflow . By discussing the problem with   doctors , nurse 's and patients and internet research we have gathered a problems related to   custom saline bottle usages . Those are as follows : 

 1 ) Nurse need to control the dripping rate of saline at particular intervals , but due to 

 workload nurse may forget to act on time . 

 2 ) After completion of saline in the bottle , emptied bottle need to be changed 

 immediately , otherwise backflow of blood occurs . 

 3 ) Saline dripping rate , pressure data is not available in custom saline bottles   4 ) Nurses forget the time to change the emptied bottles . 

 Selection 

 Our team has gone through different tools used in design thinking processes and has selected   the learning launch as our tool . As video lecture on learning launch says this tool helps us to   conduct different experiments on   protypes and select the best one suited considering   advantages and disadvantages . The need here is the superior saline bottle having addressed   above problems , and superiority is found by conducting experiments on different prototypes .   We selected this to solve our problem because we had concept ready but to check whether   our hypothesis works well , we need learning launch tool . 

 Application 

 For our first Learning Launch we had developed a smart saline monitoring system with   alarming system and dripping control . For monitoring we used LCD display , for alarming we   used lighting alarm's . And for controlling the backflow of blood we provided the manually   operated mechanism . The prototype was tested on patient under doctors guidance and   following results arrived 

 1 ) Nurse has to be within the range to control the dripping rate . 

 2 ) Lightning alarming range is limited . 

 3 )   LCD monitoring is good , but they some times need to access the data far from hoapitals ,   hence their is need of remote   data accessible   monitoring system . 

 Keeping the advantages and disadvantages we developed the 2nd learning launch . This time   data of saline system such as pressure , dripping rate is accessible through their mobile with   help of gsm module ,   they can automatically control the dropping rate with their mobiles . For   alarming we used buzzer 's   and also sms alert . It was tested for a week trials and doctors and   nurses were satisfied with this prototype . 

 Insight 

 The insight we gained from applying learning launch tool was that to experimentally verify   the assumption and prove our hypothesis . This insight helps to better our prototypes and   modify it while still being in the design thinking process . The feedback helped us to modify   the prototype in a better way and gave insights to   include better mechanism and tools design   to the product . 

 Approach 

 Our team have gone through different design thinking tools like mind maping , visualization ,   story telling , it was the time for learning launch .    Our teams need to review the feedback got   from earlier learning launches and apply insights for upcoming prototypes , and develop it   into product having advantage 's than already existing similar market products , and achieve   the market success . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: Reflection - Learning Launch 

 Challenge 

 I am a member of a team of 4   who are trying to solve a problem related healthcare . To be   specific we are controlling the dripping of saline bottle , monitoring the flow of saline and   pressure control in the saline bottle to avoid backflow . By discussing the problem with   doctors , nurse 's and patients and internet research we have gathered a problems related to   custom saline bottle usages . Those are as follows : 

 1 ) Nurse need to control the dripping rate of saline at particular intervals , but due to 

 workload nurse may forget to act on time . 

 2 ) After completion of saline in the bottle , emptied bottle need to be changed 

 immediately , otherwise backflow of blood occurs . 

 3 ) Saline dripping rate , pressure data is not available in custom saline bottles   4 ) Nurses forget the time to change the emptied bottles . 

 Selection 

 Our team has gone through different tools used in design thinking processes and has selected   the learning launch as our tool . As video lecture on learning launch says this tool helps us to   conduct different experiments on   protypes and select the best one suited considering   advantages and disadvantages . The need here is the superior saline bottle having addressed   above problems , and superiority is found by conducting experiments on different prototypes .   We selected this to solve our problem because we had concept ready but to check whether   our hypothesis works well , we need learning launch tool . 

 Application 

 For our first Learning Launch we had developed a smart saline monitoring system with   alarming system and dripping control . For monitoring we used LCD display , for alarming we   used lighting alarm's . And for controlling the backflow of blood we provided the manually   operated mechanism . The prototype was tested on patient under doctors guidance and   following results arrived 

 1 ) Nurse has to be within the range to control the dripping rate . 

 2 ) Lightning alarming range is limited . 

 3 )   LCD monitoring is good , but they some times need to access the data far from hoapitals ,   hence their is need of remote   data accessible   monitoring system . 

 Keeping the advantages and disadvantages we developed the 2nd learning launch . This time   data of saline system such as pressure , dripping rate is accessible through their mobile with   help of gsm module ,   they can automatically control the dropping rate with their mobiles . For   alarming we used buzzer 's   and also sms alert . It was tested for a week trials and doctors and   nurses were satisfied with this prototype . 

 Insight 

 The insight we gained from applying learning launch tool was that to experimentally verify   the assumption and prove our hypothesis . This insight helps to better our prototypes and   modify it while still being in the design thinking process . The feedback helped us to modify   the prototype in a better way and gave insights to   include better mechanism and tools design   to the product . 

 Approach 

 Our team have gone through different design thinking tools like mind maping , visualization ,   story telling , it was the time for learning launch .    Our teams need to review the feedback got   from earlier learning launches and apply insights for upcoming prototypes , and develop it   into product having advantage 's than already existing similar market products , and achieve   the market success .
### Output: 