Integrating Patient-Generated Health Data from Mobile Devices into Electronic Health Records: Best Practice Recommendations by the IFCC Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MHBLM).

Background: An increasing number of wearable medical devices are being used for personal monitoring and professional health care purposes. These mobile health devices collect a variety of biometric and health data but do not routinely connect to a patient's electronic health record (EHR) or electronic medical record (EMR) for access by a patient's health care team.

Methods: The International Federation of Clinical Chemistry and Laboratory Medicine (IFCC) Committee on Mobile Health and Bioengineering in Laboratory Medicine (C-MHBLM) developed consensus recommendations for consideration when interfacing mobile health devices to an EHR/EMR.

Moving Beyond the Bladder Diary: Does New Technology Now Allow Us to Take Investigation of LUTS Into the Community? ICI-RS 2024.

Context: Lower Urinary Tract Symptoms (LUTS) are defined by their distressing effect on patients' day-to-day life. Given the pressures on secondary care resources, LUTS may be overlooked or inadequately assessed and therefore patients may be burdened for an extended period before treatment.

Methods: In a debate held at the International Consultation on Incontinence Research Society (ICI-RS) meeting in Bristol in June 2024, we considered how new technologies might contribute to an expedited, dignified and effective investigation of LUTS.

How Can We Show That Artificial Intelligence May Improve Our Assessment and Management of Lower Urinary Tract Dysfunctions?-ICI-RS 2024.

Aims: The integration of artificial intelligence (AI) into functional urology management must be assessed for its clinical utility, but hopefully will change, perhaps to revolutionize the way LUTD and other conditions are assessed, the aim being to offer patients more rapid and effective management which enhances patient outcomes. The aim of this proposal, discussed at the ICI-RS annual meeting, is to evaluate the available evidence on AI and the way it might change the approach to urodynamic (UDS) diagnoses, including overactive bladder syndrome (OAB), and perhaps other LUTDs such as bladder outflow obstruction.

Methods: A compendium of discussion based on the current evidence related to AI and its potential applications in UDS and OAB.

Water Intake in Drinks and Food: How Should We Advise Patients With Lower Urinary Tract Dysfunction on Their Water Intake and/or Urine Output, as a Cornerstone of Lifestyle Interventions? ICI-RS 2024.

Context: Water intake in drinks and food is essential for life. Multiple guidelines exist to help give recommendations for healthy water intake and urine output, but few of these are specific to patients with lower urinary tract symptoms.

Methods: A debate held at the International Consultation on Incontinence-Research Society meeting, held in Bristol in June 2024, considered ways to improve this situation.

A Novel Approach for Routinely Assessing Laboratory Sigma Metrics for a Broad Range of Automated Assays.

Background: Sigma metrics have been adapted for the clinical laboratory to incorporate observed accuracy, precision, and total error allowed. The higher the Sigma level for a process, the better performance that process has. A limitation of studies assessing Sigma metrics is that they are performed on a small number of well-controlled systems.