Events Calendar

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11:00 AM - Charmalot 2025
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AI Leadership Strategy Summit
2025-09-18 - 2025-09-19    
12:00 am
AI is reshaping healthcare, but for executive leaders, adoption is only part of the equation. Success also requires making informed investments, establishing strong governance, and [...]
Charmalot 2025
2025-09-19 - 2025-09-21    
11:00 am
This is the CharmHealth annual user conference which also includes the CharmHealth Innovation Challenge. We enjoyed the event last year and we’re excited to be [...]
Civitas 2025 Annual Conference
2025-09-28 - 2025-09-30    
8:00 am
Civitas’ Annual Conference gathers hundreds of dedicated industry leaders, decision-makers, implementers, and innovators to explore key topics such as interoperability, data-driven quality improvement, social determinants [...]
Pathology Visions 2025
2025-10-05 - 2025-10-07    
8:00 am - 5:00 pm
Elevate Patient Care: Discover the Power of DP & AI Pathology Visions unites 800+ digital pathology experts and peers tackling today's challenges and shaping tomorrow's [...]
Events on 2025-09-18
Events on 2025-09-19
Charmalot 2025
19 Sep 25
CA
Events on 2025-09-28
Civitas 2025 Annual Conference
28 Sep 25
California
Events on 2025-10-05

Events

Articles

Algorithm Uses EHR Data To Identify Diabetes at Earliest Possible Date

diabetes

Researchers have developed an algorithm that can evaluate electronic health records to determine whether the patient has diabetes, FierceHealthIT reports.

Details of Algorithm

The algorithm, published in BioMedCentral, focuses on determining the earliest possible data of diagnosis in close to real time.

It evaluates information that is regularly documented and can be extracted from structured data fields, including:

  • Past medical history;
  • Problem list;
  • Medications; and
  • Laboratory results.

Each element is given a point value. After reaching a certain threshold, the algorithm identifies the presence of diabetes and calculates the earliest date that the disease could have been diagnosed.

Algorithm’s Accuracy

The researchers compared the algorithm’s findings with the opinion of a physician and found that the algorithm agreed on the date of diagnosis in 78.4% of cases.

It established a date of diagnosis that was within three months of the physician’s date in 94% of cases.

Experts say the algorithm could be effective in reaching patients who do not visit a physician regularly (Hall, FierceHealthIT, 8/2). Source