Almost half of the adults in the United States (116 million) suffer from high blood pressure, or high blood pressure, with 91.7 million who need prescription medicine as well as lifestyle changes. As of 2017, the prevalence of self -reported hypertension in adults between the ages of 20 years and over in Georgia is 30.1 % to 31.9 %, according to Tim Hall, the chief developer of business intelligence in Piedmont Healthcare.
Piedmont Health is a healthy, not purposeful system for profit with 1755 sites that serve societies with 85 % of Georgia’s population.
“If patients are more attached to high blood pressure medications and blood pressure is better controlled, patients will reduce the risk of heart disease, stroke and chronic kidney disease, which are major causes of death, disability and high health care expenses,” explained Hall.
“Using data on medical prescriptions and predictive analysis systems in their health information systems, Piedmont Healthcare has developed a project to determine patients’ highest priority for intervention to increase their compliance rates, improving clinical results and patient safety while achieving value -based care goals.”
Great success
Initial results showed improvements in the commitment measured by the percentage of covered days, diastolic and systolic blood pressure values in the treatment group as well as a decrease in the generous doctor’s intervention.
Hall will provide results and much more in the Himss25 session entitled “Implementing predictive analyzes to improve the commitment of medicines” on Thursday, March 6, at 8:30 am at the Caesar 115 forum. Dr. Thomas Wales and Melissa Robinson will be a pharmacy, both Piedmont Healthcare.
He added: “In addition to these promising results, we want to participate in the session our approach to developing a form of predictive and feasibility analyzes in the progress of work in our Population Health Department.”
He said that predictive analyzes play a decisive role in health care, especially in treating non -commitment to medicines.
Predecessor
“By combining the degrees of predictive analyzes in electronic health records systems and other health information technologies, service providers can identify patients at risk and intervene early.” “Merging the date of filling in additional medical prescriptions from the Population Health Management System improves priorities, providing more accurate decisions that depend on data.
“In addition, by taking advantage of data at the level of intervention and social determinants of EHRS, health care institutions can develop more targeted and automated interventions to improve the results of commitment and patients’ results,” he said.
Hall has many tips that he shares here and in his educational session.
“Take advantage of predictive analyzes and data full prescription data to inform and design the patient’s interventions, we can positively influence the adherence to the drugs, which in turn improve the patient’s results.”
“The development and implementation of successful predictive analyzes is an investment, both time and resources.” “The team’s multidisciplinary approach, which includes developers, business owners, executives, operations, doctors, analysts and other stakeholders, will help in ensuring success. Choosing measures to measure the success of the predictive analysis project must include clinical impact in addition to any other financial problem that your organization tries to solve.”
Follow Bill Hit coverage on LinkedIn: Bill Seuiki
Email him: bsiwicki@himss.org
Healthcare is Hosz News.
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