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Electronic Medical Records Boot Camp
2025-06-30 - 2025-07-01    
10:30 am - 5:30 pm
The Electronic Medical Records Boot Camp is a two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of electronic health [...]
AI in Healthcare Forum
2025-07-10 - 2025-07-11    
10:00 am - 5:00 pm
Jeff Thomas, Senior Vice President and Chief Technology Officer, shares how the migration not only saved the organization millions of dollars but also led to [...]
28th World Congress on  Nursing, Pharmacology and Healthcare
2025-07-21 - 2025-07-22    
10:00 am - 5:00 pm
To Collaborate Scientific Professionals around the World Conference Date:  July 21-22, 2025
5th World Congress on  Cardiovascular Medicine Pharmacology
2025-07-24 - 2025-07-25    
10:00 am - 5:00 pm
About Conference The 5th World Congress on Cardiovascular Medicine Pharmacology, scheduled for July 24-25, 2025 in Paris, France, invites experts, researchers, and clinicians to explore [...]
Events on 2025-06-30
Events on 2025-07-10
AI in Healthcare Forum
10 Jul 25
New York
Events on 2025-07-21
Events on 2025-07-24

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Latest News

Kidney disease risk score can be built into patients’ electronic health records

chronic kidney disease

More than 26 million Americans have chronic kidney disease (CKD). Primary care physicians who take care of these patients can help reduce the risk of complications and death if they recognize the progression of kidney failure early, but this is often difficult to do – deterioration can be rapid and more than one laboratory test may be needed to accurately predict a patient’s risk. A new electronic health record (EHR) tool could help physicians quickly and accurately flag patients that should be referred to a nephrologist. Designed by Brigham and Women’s Hospital investigators, this tool draws upon recent research that has identified several tests that can be used to calculate an individual’s risk score.

Now, an automatic calculator can be built into EHRs and displayed prominently for a physician to see when they open a patient’s record. The was piloted at ten North Shore Physicians Group clinics this year, and a paper detailing the design and implementation of the application appear online this week in The Journal of the American Medical Informatics Association.

“Retrospective studies of patients who have had to go on dialysis show that being referred to a nephrologist just a few months earlier can have major benefits,” said corresponding author Lipika Samal, MD, MPH, a clinician investigator in the Division of General Internal Medicine. “We want to make it as easy as possible for a physician to quickly access and track a patient’s risk. This tool automatically calculates and displays a risk score within the health record, making it easier for a to spot disease progression and take action.”

The new clinical decision support tool calculates and displays risk based on criteria identified from a large cohort study conducted by Canadian researchers (Tangri et al., 2011). Predictive risk factors that go into the calculation include serum and urine tests that collected during routine care. If test results for any of these predictive measures have not been collected and are not in a patient’s record at the time of a visit, the tool will display a recommendation to order the tests. Otherwise, the tool will display a five-year kidney disease , and if the risk is high, a recommendation for a referral to a nephrologist.

The tool was deployed outside of the EHR in a way that would allow it to be used with different EHRs by utilizing interoperability standards called continuity of care documents (CCDs). The tool extracted the necessary tests from this interoperable document.

The research team validated the tool in 255 patients and subsequently deployed it to 10 primary care clinics. The team made improvements and updates to the tool based on feedback from physicians. In the course of the pilot, they processed more than half a million CCDs to diagnose CKD and to generate risk scores for patients with CKD.

Because of the interoperable nature of the tool, the team sees an opportunity to deploy this single application across multiple EHRs. They plan to implement it in eCare at BWH later this year. Samal also envisions applications for support tools beyond CKD.

“One of the positive things about EHRs is that there is now a wealth of data that can be used to help us better predict an individual’s risk, especially for chronic and progressive diseases, like CKD,” said Samal. “We have the opportunity to use EHRs to improve patient care- tools like this one can help us seize that opportunity.”

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