Use of Mobile App Reduces Number of In-Person Follow-up Visits after Surgery

Patients who underwent ambulatory breast reconstruction and used a mobile app for follow-up care had fewer in-person visits during the first 30 days after the operation without affecting complication rates or measures of patient-reported satisfaction, according to a study published online by JAMA Surgery.

In the age of patient-centric care, delivery models must evolve to become more convenient for patients and cost-effective to the health system, while also maintaining a high degree of patient satisfaction and convenience. John L. Semple, M.D., M.Sc., of Women's College Hospital, University of Toronto, and colleagues randomly assigned 65 women undergoing breast reconstruction to receive follow-up care via a mobile app (n=32; 49 percent) or at an in-person visit (n=33; 51 percent) during the first 30 days after the operation. The app that was used (from QoC Health Inc.) allows patients to submit photographs and answers to a quality of recovery questionnaire and a pain scale using a mobile device. Surgeons are able to follow patient reports on a web portal.

The researchers found that patients using the mobile app attended 0.40 times fewer in-person visits for follow-up care and sent more emails to their health care professionals during the first 30 days after surgery than did patients in the in-person follow-up group. The mobile app group was more likely to agree or strongly agree that their type of follow-up care was convenient. Complication rates and patient satisfaction scores were comparable between the groups.

"These are important findings given the current demands on the health care system and the push toward patient-centric care," the authors write.

Kathleen A. Armstrong, Peter C. Coyte, Mitchell Brown, Brett Beber, John L. Semple.
Effect of Home Monitoring via Mobile App on the Number of In-Person Visits Following Ambulatory Surgery A Randomized Clinical Trial.
JAMA Surg. doi: 10.1001/jamasurg.2017.0111.

Most Popular Now

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...