Evidence map›Paper›PMID 39348612›Full record

ArticleJCO clinical cancer informatics2024

Automated, Real-Time Integration of Biometric Data From Wearable Devices With Electronic Medical Records: A Feasibility Study.

Julius K Weng, Ritupreet Virk, Kels Kaiser, Karen E Hoffman, Chelain R Goodman, Melissa Mitchell, Simona Shaitelman, Pamela Schlembach, Valerie Reed, Chi-Fang Wu and 3 more

Abstract read
In one paragraph

Article in JCO clinical cancer informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. The Role of AI in Clinical Trial Design and Scientific Writing.Cardiovascular and interventional radiology · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. 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

13 authors.

Julius K WengDepartment of Radiation Oncology, City of Hope Orange County Lennar Foundation Cancer Center, Irvine, CA.ORCID 0000-0002-7064-6865
Ritupreet VirkDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.
Kels KaiserDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.
Karen E HoffmanDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.
Chelain R GoodmanDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-9083-3652
Melissa MitchellDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.
Simona ShaitelmanDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-7697-1263
Pamela SchlembachDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.
Valerie ReedDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.
Chi-Fang WuDepartment of Health Services Research, MD Anderson Cancer Center, Houston, TX.
Lianchun XiaoDepartment of Biostatistics, MD Anderson Cancer Center, Houston, TX.
Grace L SmithDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.ORCID 0000-0002-3171-2911
Benjamin D SmithDivision of Radiation Oncology, MD Anderson Cancer Center, Houston, TX.ORCID 0000-0001-7866-1093

Funding

Paul Calabresi Clinical Oncology AwardK12CA088084 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI David S. Hong, Scott Kopetz · 2000 to 2026
$14.0M
Project 3: Inhibiting Oxidative Phosphorylation in Pancreatic CancerP50CA221707 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KOPETZ, SCOTT · 2019 to 2023
$11.0M
NCI NIH HHS K12 CA088084NCI NIH HHS P50 CA221707
6 · The paper itself

Abstract

purposeA major barrier to the incorporation of biometric data into clinical practice is the lack of device integration with electronic medical records (EMRs). We developed infrastructure to transmit biometric data from an Apple Watch into the EMR for physician review. The study objective was to test feasibility of using this infrastructure for patients undergoing radiotherapy.

methodsThe study included patients with breast or prostate cancer receiving ≥3 weeks of radiotherapy who reported owning an Apple Watch. Daily resting heart rate (HR), HR variability, step count, and exercise minutes were automatically transferred to our EMR using a custom app installed on each patient's iPhone. Biometric data were presented to the treating radiation oncologist for review on a weekly basis during creation of the on-treatment note. Feasibility was defined a priori as physician review of biometric data for at least 90% of patients. Time trends in biometric data were tested using the Jonckheere-Terpstra test. Patient satisfaction was assessed using the System Usability Scale (SUS), with scores above 80 considered above-average user experience.

resultsOf the 20 patients enrolled, biometric data were successfully transmitted to the EMR and reviewed by the radiation oncologist for 95% (n = 19) of patients, thus meeting the a priori feasibility threshold. For patients with radiation courses ≥4 weeks, exercise minutes decreased over time (

conclusionOur study demonstrates the feasibility of real-time integration of biometric data collected from an Apple Watch into the EMR with subsequent physician review. The high rates of physician review and patient satisfaction provide support for further development of large-scale collection of wearable device data.

Indexed as

BiometryElectronic Health RecordsFeasibility StudiesWearable Electronic DevicesAgedBreast NeoplasmsFemaleHeart RateHumansMaleMiddle AgedProstatic Neoplasms

Identifiers

PMID39348612
PMCPMC12105729

What Socratic holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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 Socratic graph.