Evidence map›Paper›PMID 33355001›Full record

ArticleJournal of diabetes science and technology2021

Improving Hospital Glucometrics, Workflow, and Outcomes with a Computerized Intravenous Insulin Dose Calculator Built into the Electronic Health Record.

Daniel Shelden, Mohammed Ateya, Angela Jensen, Patrick Arnold, Tiffany Bellomo, Roma Gianchandani

Abstract read
In one paragraph

Article in Journal of diabetes science and technology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Inpatient Insulin Dosing Calculators.Diabetes spectrum : a publication of the American Diabetes Association · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors.

Daniel SheldenMetabolism Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-2824-5849
Mohammed AteyaUniversity of Michigan College of Pharmacy, Ann Arbor, MI, USA.
Angela JensenMichigan Medicine, Ann Arbor, MI, USA.
Patrick ArnoldMetabolism Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA.
Tiffany BellomoUniversity of Michigan Medical School, Ann Arbor, MI, USA.
Roma GianchandaniMetabolism Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo adjust for dynamic insulin requirements in critically ill patients, intravenous (IV) insulin infusions allow for titration of the dose according to a prespecified algorithm. Despite the adaptability of IV insulin protocols, human involvement in dose calculation allows for error. We integrated a previously validated IV insulin calculator into our electronic health record (Epic) and instituted it in the cardiovascular intensive care unit (CVICU). We aim to describe the design of the calculator, the implementation process, and evaluate the calculator's impact.

methodEmploying an aggressive training program and user acceptance testing prior to significant elbow support at the time of institution, we successfully integrated the insulin calculator in our CVICU. We evaluated the glucometrics before and after implementation as well as nursing satisfaction following calculator implementation.

resultsOverall, our implementation led to increased frequency of blood sugar at various glycemic targets, a trend toward less hypoglycemia or hyperglycemia. For severe hypoglycemia, our preintervention cohort had 0.02% of blood sugars less than 40 mg/dL but no blood sugars less than 40 mg/dL were identified in our patient's postintervention. For the CVICU target blood glucose of 70-180 mg/dL, 87.97% blood sugars at baseline met goal compared to 91.39% at one month, 91.24% at three months, and 90.87% at six months postintervention.

conclusionBy utilizing an aggressive education campaign championing superusers and making adjustments to the calculator based on early problems that were encountered, we were able to improve glycemic control and limit glucose variability at our institution.

Indexed as

Electronic Health RecordsInsulinBlood GlucoseCritical IllnessHospitalsHumansHypoglycemic AgentsInfusions, IntravenousWorkflowBlood GlucoseHypoglycemic AgentsInsulincritical care hyperglycemiadiabetes mellitusinpatient diabetesinsulininsulin calculatorinsulin sensitivity coefficient

Identifiers

PMID33355001
PMCPMC8256071

What OpenQuestion holds

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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.