Decision support systems
Computerized alerts did not influence physician ordering habits or improve clinical outcomes for elderly, hospitalized patients with cognitive impairment.
The combination of clinical alerts and decision support related to abnormal laboratory values had no impact on the clinical management of patients or the frequency of adverse events.
Case managers remotely monitor Medicare beneficiaries with chronic conditions via a messaging device that asks and records answers to disease-specific and general health questions each day, leading to lower mortality and costs.
Pediatricians in community practice use computer software and a manual to diagnose and manage attention-deficit/hyperactivity disorder, leading to significant improvements in symptoms.
An online tutorial and interactive workshop supported family physicians in engaging in shared decisionmaking with patients, reducing use of antibiotics for acute respiratory infections.
A solo practitioner leverages various functions within the electronic medical record to redesign care processes, leading to greater adherence to recommended care processes and improved outcomes for patients with diabetes.
A culturally appropriate, interactive decision aid placed at health fairs and in safety net clinics generates high levels of engagement among underserved Hispanic and Latino smokers, leading to well above-average quit rates.
Pop-up alerts significantly reduce D-dimer testing to diagnose venous thromboembolism in elderly patients, increasing use of a more accurate alternative imaging test instead.
A computerized decision support system uses algorithms and real-time patient information to guide the resuscitation of trauma patients, leading to fewer medical errors.
A “shock” protocol involving computerized flagging of abnormal vital signs and initiation of treatment based on standardized order sets led to faster identification and treatment of children with suspected sepsis in the emergency department.