“I really love Amazing Charts – it comes as close as can be to the perfect hybrid between an old-style chart note and an EMR.”

— Susan B. Bergman, MD, Framingham, MA

 

 

 

Documenting a diagnosis of obesity increases the likelihood of clinical management

Documenting a diagnosis of obesity increases the likelihood of clinical management

You can’t treat what you don’t diagnose! Documenting a diagnosis of obesity increases the likelihood of clinical management*. A recent assessment of patients with a BMI greater than or equal to 30 found obesity is both underdiagnosed and often not coded within Amazing Charts. We have tools to help you easily screen your patients for obesity, which may increase the likelihood of capturing the diagnosis.

Amazing Charts EHR prompts the user to screen for obesity in several ways.

  • Once a user documents the height and weight in the vital signs bar, the BMI is automatically calculated. If the BMI is normal, the box remains green; if the BMI is elevated, the color is changed to yellow; and if the BMI is greater than or equal to 30, the box is highlighted in red.
  • Clinical Decision Support rules remind the user to evaluate patients for obesity yearly, according to USPSTF guidelines.
    • Charts with a documented BMI greater than or equal to 25 will automatically trigger a specific guideline based on the presence or absence of adiposity related complications. If no complications are documented, the guideline recommends assessing for these conditions.
      • Metabolic syndrome • Prediabetes • Type 2 diabetes • Dyslipidemia • Hypertension • Cardiovascular disease • Nonalcoholic fatty liver disease • Polycystic ovary syndrome • Female infertility • Male hypogonadism • Obstructive sleep apnea • Asthma/reactive airway disease • Osteoarthritis • Urinary stress incontinence • Gastroesophageal reflux disease • Depression  

Amazing Charts EHR has tools available for management of your patient panel or population as well. Using the Reports tool, you can search under “Population Health” to identify and compare cohorts of patients, as well as a population of patients that remain undiagnosed.

Identification, documentation, and education are important steps to effectively manage obesity and its related complications. You may also want to provide important patient education material to your patients, which can be accessed through clicking on the “info button” within the chart, or going to the Patient Education Tab within the Amazing Charts Resource Center (ACRC).

We hope you find these new tools and resources valuable additions to help you improve patient outcomes.

 


* J Am Board Fam Med. 2009 Sep-Oct; 22(5): 544–552.

doi:  10.3122/jabfm.2009.05.080173

 

 

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