Evidence map›Paper›PMID 37850590›Full record

ArticleJournal of diabetes science and technology2024

The Launch of the iCoDE-2 Standard Project: Integration of Connected Diabetes Device Data Into the Electronic Health Record.

Rachel E Aaron, Tiffany Tian, Andrea M Yeung, Jingtong Huang, David C Klonoff, Juan C Espinoza

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Diabetes Technology Meeting 2023.Journal of diabetes science and technology · 2024
    Article
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

6 authors.

Rachel E AaronDiabetes Technology Society, Burlingame, CA, USA.ORCID 0009-0005-5120-2264
Tiffany TianDiabetes Technology Society, Burlingame, CA, USA.ORCID 0009-0003-1417-6445
Andrea M YeungDiabetes Technology Society, Burlingame, CA, USA.ORCID 0000-0002-5592-453X
Jingtong HuangDiabetes Technology Society, Burlingame, CA, USA.ORCID 0000-0002-3119-9361
David C KlonoffDiabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA.ORCID 0000-0001-6394-6862
Juan C EspinozaStanley Manne Children's Research Institute, Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL, USA.ORCID 0000-0003-0513-588X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiabetes Technology Society virtually hosted the first meeting of the Integration of Connected Diabetes Device Data Into the Electronic Health Record #2 (iCoDE-2) Standards Project on May 31, 2023, via Zoom.

methodsClinicians, patients, data aggregators, informaticists, manufacturers, attorneys, and cybersecurity experts discussed dosing data currently available from insulin delivery devices and data aggregators and the types of information that patients and clinicians want to see. This information along with technical and regulatory aspects of (1) data standards and (2) integration into the electronic health record (EHR) are the basis of iCoDE-2.

resultsSix sessions were hosted discussing themes including (1) What's Currently Available: The Continuous Glucose Monitor Experience; (2) What's Currently Available: The Aggregator Experience; (3) What's Currently Available: The Insulin Pump Experience; (4) What's Currently Available: The Insulin Pen Experience; (5) What Do Clinicians and Patients Want Out of iCoDE-2 Data?; and (6) Technical and Regulatory Aspects of Data Aggregation.

conclusionAdditional working group meetings to discuss data standard and clinical workflow will be held to create additional technical specifications and clinical workflows to aid in insulin dosing data integration into the EHR. A mid-project meeting will convene in the second half of 2023.

Indexed as

Diabetes MellitusElectronic Health RecordsBlood GlucoseHumansInsulinBlood GlucoseInsulincontinuous glucose monitorsdata integrationdiabeteselectronic health recordinsulin

Identifiers

PMID37850590
PMCPMC10899851

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.