Directing specialist care through email admission alerting

• Published in: Future hospital journal 2015-02, Vol.2 (1), p.34-37
• Main Authors: Farmer, Chris, Wheeler, Toby, Bedford, Michael, Webb, Michelle, Farr, Marc, Morris, Steve
• Format: Article
• Language: English
• Subjects: Research Letter
• ISSN: 2055-3323; 2055-3331
• DOI: 10.7861/futurehosp.2-1-34

Unscheduled care is complex, particularly because many patients have multiple long term medical conditions. It is difficult to ensure the appropriate care is delivered by specialist services to patients in a timely manner. Lack of specialist input may impact on patient safety and adversely affect outcomes. We describe an automated email alerting system which was developed as result of a clinical incident. Using free software and minimal computing resources an automated email alerting system was developed. The system identified patient admissions, compared them against patient cohorts and created alerts. It used only around 1,000 lines of Java7 code combined with free software and secure NHS mail accounts. The system currently sends alerts to many different teams at our hospital. The patient population includes 6,047 patients on one of our 10 monitored lists or special registers. From May to June 2013 the system alerted to 863 monitored patient admissions in 2,158 separate messages. This system has been adopted across multiple specialties, has been well received and has had a direct impact on patient care. Not only is this system efficient and effective, but importantly can be implemented with low cost and complexity and is hence easily reproducible across the NHS.Unscheduled care is complex, particularly because many patients have multiple long term medical conditions. It is difficult to ensure the appropriate care is delivered by specialist services to patients in a timely manner. Lack of specialist input may impact on patient safety and adversely affect outcomes. We describe an automated email alerting system which was developed as result of a clinical incident. Using free software and minimal computing resources an automated email alerting system was developed. The system identified patient admissions, compared them against patient cohorts and created alerts. It used only around 1,000 lines of Java7 code combined with free software and secure NHS mail accounts. The system currently sends alerts to many different teams at our hospital. The patient population includes 6,047 patients on one of our 10 monitored lists or special registers. From May to June 2013 the system alerted to 863 monitored patient admissions in 2,158 separate messages. This system has been adopted across multiple specialties, has been well received and has had a direct impact on patient care. Not only is this system efficient and effective, but importantly can be implemented with low