[{"innerBlocks":[],"name":"core\/freeform","postId":884,"blockType":{"name":"core\/freeform","keywords":[],"attributes":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"providesContext":[],"usesContext":[],"selectors":[],"supports":{"className":false,"customClassName":false,"reusable":false},"styles":[],"variations":[],"apiVersion":3,"title":"Classic","description":"Use the classic WordPress editor.","category":"text"},"originalContent":"A new computer-based predictive tool is able to accurately forecast clinical outcomes for patients with chronic obstructive pulmonary disease so that clinicians can optimize their care.

For COPD patients, clinicians have traditionally made their own calculations rating the severity of the disease using scores that\u2014according to researchers at Intermountain Healthcare\u2014aren\u2019t optimal at accurately predicting outcomes.

However, results of a study presented this week at the American Thoracic Society\u2019s conference in Dallas show that electronic health records and computer calculations provide a better, more accurate way to predict clinical outcomes for COPD patients.

\u201cCurrent risk scores help guide care, but the scores that are typically used are easy to remember and based on simple, often inexact calculations you can do in your head,\u201d says Benjamin Horne, director of cardiovascular and genetic epidemiology at Intermountain Healthcare. \u201cThey\u2019re not terribly useful and they don\u2019t do all that well at predicting a prognosis.\u201d

Also See<\/b>: Anthem\u2019s COPD initiative offers sensors on inhalers to manage illness<\/a>

The study evaluated a predictive tool\u2014called Summit Score\u2014that analyzes electronic health records, weighing a range of risk factors such as age, body mass index, smoking history, prior COPD hospitalization, history of heart attack, history of heart failure, diagnosis of diabetes, as well as the use of medications.

\u201cThe benefit of a calculated, objective score for physicians is that they can look at the score and get a quantified, repeatable value that will indicate where the patient is as far as their health,\u201d adds Horne. \u201cThat can help indicate to a clinician whether they should give the standard of care or if they need to be a little bit more aggressive.\u201d

According to Horne, the Summit Score calculates patients\u2019 risk for scenarios such as a sudden exacerbation of COPD symptoms, repeat hospital visits, and mortality on a low-moderate-high risk scale of 0 to 30.

\u201cInstead of using a risk score that doesn\u2019t work all that well, you can use a risk score that\u2019s consistently better at predicting outcomes where the computer does the work for you,\u201d he concludes.","saveContent":"A new computer-based predictive tool is able to accurately forecast clinical outcomes for patients with chronic obstructive pulmonary disease so that clinicians can optimize their care.

For COPD patients, clinicians have traditionally made their own calculations rating the severity of the disease using scores that\u2014according to researchers at Intermountain Healthcare\u2014aren\u2019t optimal at accurately predicting outcomes.

However, results of a study presented this week at the American Thoracic Society\u2019s conference in Dallas show that electronic health records and computer calculations provide a better, more accurate way to predict clinical outcomes for COPD patients.

\u201cCurrent risk scores help guide care, but the scores that are typically used are easy to remember and based on simple, often inexact calculations you can do in your head,\u201d says Benjamin Horne, director of cardiovascular and genetic epidemiology at Intermountain Healthcare. \u201cThey\u2019re not terribly useful and they don\u2019t do all that well at predicting a prognosis.\u201d

Also See<\/b>: Anthem\u2019s COPD initiative offers sensors on inhalers to manage illness<\/a>

The study evaluated a predictive tool\u2014called Summit Score\u2014that analyzes electronic health records, weighing a range of risk factors such as age, body mass index, smoking history, prior COPD hospitalization, history of heart attack, history of heart failure, diagnosis of diabetes, as well as the use of medications.

\u201cThe benefit of a calculated, objective score for physicians is that they can look at the score and get a quantified, repeatable value that will indicate where the patient is as far as their health,\u201d adds Horne. \u201cThat can help indicate to a clinician whether they should give the standard of care or if they need to be a little bit more aggressive.\u201d

According to Horne, the Summit Score calculates patients\u2019 risk for scenarios such as a sudden exacerbation of COPD symptoms, repeat hospital visits, and mortality on a low-moderate-high risk scale of 0 to 30.

\u201cInstead of using a risk score that doesn\u2019t work all that well, you can use a risk score that\u2019s consistently better at predicting outcomes where the computer does the work for you,\u201d he concludes.","order":0,"get_parent":{},"attributes":[],"attributesType":{"content":{"type":"string","source":"raw"},"lock":{"type":"object"}},"dynamicContent":""}]

Risk score uses EHR data to predict COPD patient outcomes

More for you