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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).
EJIFCC
December 2024
National Reference Laboratory, Abu Dhabi, UAE.
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.
Standardization of the nomenclature of bone status indices: a milestone in diagnostic consistency and clarity.
Osteoporos Int
December 2024
Laboratory of Experimental Biochemistry, IRCCS Ospedale Galeazzi-Sant'Ambrogio, Milan, Italy.
Guidelines for the correct use of the nomenclature of biochemical indices of bone status: a position statement of the Joint IOF Working Group and IFCC Committee on Bone Metabolism.
Clin Chem Lab Med
November 2024
Department of Clinical Chemistry, CIRM, University of Liège, CHU de Liège, Belgium.
Article Synopsis
- - The guidelines update the International Osteoporosis Foundation's (IOF) 20-year-old position paper on bone markers, reflecting advancements in bone biology and disorders.
- - The authors introduce a new classification called Bone Status Indices (BSI) to replace outdated terms like bone turnover markers and metabolic markers for better clarity.
- - The proposal includes standardized nomenclature, abbreviations, and measurement units for these indices to ensure consistency in the study and treatment of bone health.
The Diabetes Technology Society Error Grid and Trend Accuracy Matrix for Glucose Monitors.
J Diabetes Sci Technol
November 2024
University of California San Francisco, San Francisco, CA, USA.
Article Synopsis
- An error grid is a tool that helps compare glucose levels measured by devices to see if they are correct and to identify any risks.
- Experts created a new error grid called the DTS Error Grid that works for both blood glucose monitors (BGMs) and continuous glucose monitors (CGMs), organizing accuracy into five risk zones.
- The results showed that the DTS Error Grid provides a clearer picture of how accurate these devices are and includes a separate matrix to evaluate how well CGMs track glucose trends over time.
Derivation of Russian-specific reference intervals for complete blood count, iron markers and related vitamins.
PLoS One
September 2024
Russian Medical Academy of Continuing Professional Education of the Ministry of Health, Moscow, Russia.
Objectives: This study aimed to establish reference intervals (RIs) for Russian adults for hematological parameters including related iron markers and vitamins. Sources of variation of reference values (RVs) and needs for secondary exclusion were explored for proper derivations of RIs.
Methods: Following the harmonized protocol of the IFCC Committee on Reference Intervals and Decision Limits (C-RIDL), 506 healthy Russians (age 18-80; 46% male) were recruited.
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