Hello! My name is Felix Lee. I currently attend Boston Latin Academy. Some of my favorite hobbies include playing sports (basketball, baseball, and football) and watching sports. I also enjoy watching TV shows like The Wire, Game of Thrones, and Breaking Bad.
My lab has to deal with obesity.
My project is to review doctor notes and to analyze the trends of obesity documentation.


7/25/14
Weekly Assignment:

Positive Documentation
Negative Documentation
W/Template
50
53
W/O Template
46
61
W/Labs
22
6
W/O Labs
74
108
Trainee
44
30
Not Trainee
52
84
W/Follow Ups
28
17
W/O Follow Ups
68
97
W/STC
14
10
W/O STC
82
104
W/STH
9
3
W/O STH
87
111
W/Sleep
91
103
W/O Sleep
5
11
W/PAC
22
13
W/O PAC
74
101
W/PAH
26
13
W/O PAH
70
101
W/Sugary Drinks
62
53
W/O Sugary Drinks
34
61
W/Fast Food
19
14
W/O Fast Food
77
100
W/NC
62
45
W/O NC
34
69
W/NH
52
44
W/O NH
44
70
W/Nutrition
94
110
W/O Nutrition
2
4
7/18/14
Weekly Assignment:
Rough Draft Intro:
Obesity is a major problem that is affecting the children of the US. To obese means that you have too much body fat. Obesity can be caused by a wide array of factors. Eating too much, drinking too much alcohol, and smoking too much are some ways to become obesity. Not enough physical activity, menopause, and problems with your thyroid gland can also lead to obesity. A way to to diagnois that one is obese is by checking their BMI. The formula is your weight in kilograms divided by your hieght in meters squared. If one BMI's is at or higher than the 85 percentile, you are overweight. Obesity isnt't just a weight problem. Obesity may and ususally leads to other health complications like heart disease, stroke, high blood pressure, diabetes, sleep apnea, and different types of cancer. According to some web links, 19.6% of 6-11 year olds were overweight, while 18% of 12-19 year olds were overwieght. Children age 8-18 spend an average 7.5 hours in front of a screen. 25.8 million people are affected by diabetes, which is 8.3% of the population. These stats were written back 5-7 years ago, so the stats for obesity may have increased since then. My project is analyzing the affect of a template on the documentation obesity at the Primary Clinic at Boston Children's Hospital. My hypothesis is that the template should help increase the number of documentated obesities.

http://healthy-america.org/facts-stats-and-quotes-on-obesity-in-america/
http://www.webmd.com/cholesterol-management/obesity-health-risks
http://www.ncbi.nlm.nih.gov/pubmedhealth/PMH0004552/
I will also be using one of the documents that was posted at the bottom of this page.
7/11/14
Weekly Assignment:
Method: I reviewed (still reviewing) more than 50 doctor notes through. I created a criteria of things I would be looking for in these notes like whether the doctor wrote notes about their patient's diet, sleeping habits, or eating habits etc. I looked for whether these doctors diagnosed their patients as obese or overweight. Using this information, I plugged it into an Excel document as a way to keep a record. I also looked to see if the doctors followed the template and used it in their notes. After I collect all of this data, I will compare it to my first reading that is posted on the bottom of my page. I will also compare the number of documented obesities before the template was inlcuded and after.
7/3/14
Weekly Assignment:
Question: Does adding a template improve how physcians document obesity?
Hypothesis #1: Physicans weren't good at documenting obesity before the template was installed.
Hypothesis #2: Adding a template has helped physcians document obesity better.
Aims:
#1. Look at past doctor notes to see whether they documented obesity or not. (Before 2013)
#2. Look at past doctor notes to see whether the inclusion of a template has improved obesity documentaton. (After 2013)
#3. Compare and contrast.
#4. Maybe try to sit in on appointments and see whether the physcians are actually using the template. Follow along with the questions asked and take a look at the doctor's notes.
#5. Compare my findings to one of the papers I had to read.
6/26/14
Weekly Assignment:
The articles I had to read were very similar. Both had to do with experiments of how physicians identified obesity within children ranging from toddlers to adolescents. The general idea of both of them is how obesity was "under identified." Some important things I got out from the readings include how obesity stems from multiple factors and how BMI is important in identifying obesity.
5/19/2014
Note from Melissa: Welcome to your Project Success homepage! We've matched you with Dr. Vidhu Thaker, in the lab of Dr. Joel Hirschhorn at Boston Children's Hospital. They've suggested some great readings for you in preparation for the summer; please read them before you get here:
Identification, Evaluation, and Management of Obesity in an Academic Primary Care Center
Suboptimal identification of obesity by family physicians.

We've also matched you up with another mentor outside of the lab to help support you through the summer and give you further exposure to science careers. Your mentor is Manneh Ghazarians.
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Feedback on Hypothesis and Aims mpwu mpwu 0 18 Jul 2, 2014 by mpwu mpwu