Report Appropriately modified de-identified data for the 56431 attendee at the various clinics was used for this analysis. Table 1 presents distribution of the anomalous body composition readings by gender, clinics, and age group. 85% of the overall were female, clinic location 5 has the highest number of overall participants (18%) and highest number of all the anomalous body composition readings (15% - 19%) respectively. 61% of all the participants were within 40 – 60 years age group. BMI has the highest numbers of anomalous readings, followed by TBW, and then free fat mass in that order. Table 2 shows that vast majority of the participants has body type “0” (p<0.0001). Zero-inflated models was performed to rule out overdispersion. The observed …show more content…
Recommendations • Continuous patient education should be incorporated in to clinical activities at all clinic locations. This is to enlighten patients on the activities that can adversely affect the accuracy of body composition estimation, when carried out just before visit to the clinics. This will help in maintaining industrial standard. • Specialists taking the body composition estimation should be trained on the importance of adhering strictly to the acceptable protocols of patients check-in and preparation for body composition estimation. They should be hold accountable for any breach in protocols. • Present format for electronic documentation does not allow for comprehensive clinical documentation during follow-up visit. Efforts should be made to upgrade the electronic medical record system to the standard of that expected for a medical center and research institute. This is to allow for proper documentation according to the industrial standard, and easy retrieval of patient’s information for clinical research. There is a need to employ a clinical documentation improvement specialist (CDIS) in this
The demographic variables that were measured at the nominal level of measurement were non-drinker, non-smoker, regular exercise, and history of fracture. Nominal data is information that contain two or more categories, however there is no numerical ordering in the values. 2. What statistics were calculated to describe body mass index (BMI) in this study? Were these appropriate?
Overall, incomplete documentation and delinquent medical records cause inaccurate reimbursement and results in inaccurate gross revenue to the hospital. It can have a negative impact on the hospital budgeting and financial planning process for the hospital. It is for this purpose that every healthcare institution should be purposeful on reviewing the accuracy and completeness in clinical documentation, no matter the cost. Even though, for most physicians, most of their time is focused on the actual care of the patient and there is little to no time to devote to extensive documentation, it is imperative to understand patient care includes both the one-to-one attention and the documentation of said treatment.
Practice Fusion Electronic Health Record (EHR) System MEA-131 Ms. Slade June 17, 2016 Sharon Liles Practice Fusion Electronic Health Record (EHR) System Technology and the evolution of Electronic Health Records is an improvement to the efficiency and the effectiveness of how healthcare providers record, communicate and process patient information. According to Practice Fusion, “since 2005, the focus of Practice Fusion is expanding the ability to aggregate clinical data and share it meaningfully, by helping to make healthcare better for everyone. To improve clinical decision, support to tracking Meaningful Use, and provide insight that deliver better, safer and more efficient
Electronic Health Records and Patient Confidentiality Technology has become an essential part of our everyday life therefore, it makes sense that doctors and hospitals get rid of the old fashioned paper charting and use technology to access patient records. Electronic health records (EHR) provide quick access to information, as doctors no longer have to wait for other providers to fax previous records to them. The accessibility of Electronic Health Records assist medical providers to make quick medical care decisions, by accessing previous care provided to patients including treatment and diagnosis. Quick access to information through EHR enables health care providers to treat patients faster as there is no need for records to be mailed or
Although there are more women practicing pharmacy than their male counterparts, pharmacy ownership is still mostly male-dominated. Owning a pharmacy is a difficult path, and only a few are brave enough to forge that path. One such woman is Dr. Jenna Clack, owner of Clack-Co Concierge Consulting. Dr. Clack started her business in Midland, TX after graduating from University of the Incarnate Word’s Feik School of Pharmacy in 2013.
The measurement is most functional in calculating overweight or obesity at population-level for both sexes across entire adults ages; withal, the level of body fat varies among individuals; however, overweight and obesity calculation does not measure the body fat and muscle mass directly (WHO,2012). 3. Double-Edged Sword: malnutrition and obesity trends Based on 2016 data, young people (aged 5-19years) went from 1% of obese to 6% (girls) and 8% (boys. Alarmingly, 41 million under 5 years of age children were also reported to be overweight (WHO,2017).
Kaiser Permanente has been equipped since 2007 with Health Connect; which is the largest private electronic health record implementation in the world. This is a highly sophisticated electronic program that integrates inpatient, outpatient, and clinic medical records with appointments, registration, pharmacy, and billing for all kaiser members. In addition, this electronic program includes an entire medical library with a whole set of care support tools which are accessible to doctors, nursing staff and patients (Kaiser Permanente, n.d.). At kaiser permanente; nurses are expected to print out “the after-visit summary” (AVS), which contain the doctor recommendations for each patient that we see.
Furthermore, 70% of people, who come from low-income groups and middle-income groups, die because of these diseases. NCDs do not only occur in elderly, most of NDCs cases in America are from adults under 70 years old and children (Paho, n.d.). According to the national data, from 2986 to 2002, an indicator of excess body fat (MBI) in low-income groups and low education groups was higher than other groups. The BMI and obesity were inversely proportional to wages (FRAC,
Summary: In this article taken from The Journal of Military Medicine, Vol. 180, January 2015, it goes into details of the current method for conducting the Navy’s body composition assessment. It also touches on the history it’s inception and the common practice for other branches. The end goal of this article is to point out its flaws and make recommendations for a new system. Most sailors believe the current method is unreliable. In the article they propose using a single circumference measurement as a single source indicator to measure an individual military service member’s body composition.
Over the past generation obesity has become a major health issue. The term obesity is best describe as someone having a body mass index (BMI) equal to or above the 95th percentile. Within both genders of African American children and adolescent obesity has increased tremendously. Obesity can contribute too many chronic illnesses down the line if left untreated such as cardiovascular disease, cancer, asthma, and type 2 diabetes (Coreil, 2009). Studies have reported that within low income communities 1 out of 3 children are considered as overweight or obese (Ogden et al., 2010).
According to my result, my FFM is 89.6 lb. My FFM shows that my protein intake should be in the range of 44.8 g -89 6 grams, which I achieved based on my nutrients report (82 grams). This is important as proteins assist in maintaining lean body mass. My measured fat is 31.8 lb and my fat percent is 26.2%. Using the Garrow and Webster equation, I got 31.4 lb and 25% for measured fat and fat percent, respectively, which are both close estimations to my result.
The ( BMI ) is a formula that produces a score that will show if a person is underweight, a normal weight, overweight or obese.
Many systems for classifying physique have been proposed over the centuries, leading to the system called somatotype as proposed by Sheldon (1940), and subsequently modified by others, notably Parnell (1958) and Heath and Carter (1967). The somatotype is defined as the quantification of the present shape and composition of the human body. Sheldon believed that somatotype was a fixed or genetic characteristic, but the present view that the somatotype is phonotypical and thus amenable to change under the influence of growth, aging, exercise and nutrition (Carter and Heath 1990). Among these, Heath and Carter somatotype method is one of the comprehensive evaluation methods. Using this method 10 items of anthropometric indicators are selected and three factors which could be to represent relative content of body fat, growth degree of skeletal muscle and relative height and thinness of body (relative line degree), respectively are calculated.
Ultimately, these findings suggest there are hundreds of other genetic variants influencing body weight that are yet to be discovered. In all things considered one might find these findings important because they confirm that genes play a very important role in determining body weight. As of today, only a few genetic variants have been discovered and these explain a very small amount of individual differences in body weight. These findings suggest there are hundreds of other genetic variants influencing body weight that are yet to be discovered (Llewelyn, 2013). Therefore, the genetic history of a family can be the result of the child obesity but it all varies, as it is a topic that continues to be further
The effects of obesity on our society Obesity is a terrible thing to have in life. People often assume overweight is the same thing as obesity but that in entirely wrong. “The United States is already one of the most obese countries on this earth and is quickly rising ever so higher on the list” (American 1). Obesity negatively affects society by insurance cost, health, Quality of life. Obesity affects your everyday life in many ways even with the simple things like tying your shoes and standing up by yourself.