Evidence map›Paper›PMID 39810897›Full record

ArticleEJIFCC2024

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).

James H Nichols, Ramy Samir Assad, Juergen Becker, Pradeep K Dabla, Alistair Gammie, Bernard Gouget, Michael Heydlauf, Evgenija Homsak, Irena Korita, Kazuhiko Kotani and 4 more

Abstract read
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In one paragraph

Article in EJIFCC, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

James H NicholsVanderbilt University Medical Center, Nashville, TN, USA.
Ramy Samir AssadMedical Research Institute - Alexandria University, Alexandria, Egypt.
Juergen BeckerQuidelOrtho France SARL, Paris, France.
Pradeep K DablaG.B. Pant Institute of Postgraduate Medical Education and Research (GIPMER), Delhi, India.
Alistair GammieQuidelOrtho Clinical Diagnostics, Upavon, England, U.K.
Bernard GougetSFBC International committee, Président LBMR, Ministère de la Santé et de la Prévention, Paris, France.
Michael HeydlaufSiemens Healthineers, Cary, NC, USA.
Evgenija HomsakUniversity Clinical Centre Maribor, Maribor, Slovenia.
Irena KoritaUniversity of Medicine, Tirana, Albania.
Kazuhiko KotaniJichi Medical University, Tochigi, Japan.
Ebru SaatçiErciyes University, Kayseri, Türkiye.
Sanja StankovicCenter for Medical Biochemistry, University Clinical Center of Serbia, Belgrade, Serbia, Faculty of Medical Sciences, Kragujevac, Serbia.
Zihni Onur UygunKafkas University, Kars, Türkiye.
Laila AbdelWarethNational Reference Laboratory, Abu Dhabi, UAE.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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. Results: IFCC C-MHBLM recommendations cover personalized monitoring and privacy concerns, data security, quality assurance of data transfer, and incorporation of alert triggers to warn users of important health conditions. Conclusions: Considerations for interface ease-of-use, display of patient data in the EHR/EMR, and needs-based training programs for healthcare staff to understand the critical requirements, proper use, and integration of mobile health devices with EHR/EMRs are provided. Cooperation between healthcare providers, device manufacturers, and software developers is also recommended to drive future innovation in mobile health device technology development.

Indexed as

Computer interfacesMedical recordsMobile health technologyWearable devices

Identifiers

PMID39810897
PMCPMC11726333

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.