Evidence map›Paper›PMID 28921446›Full record

ArticleJournal of medical systems2017

Can a Novel ICU Data Display Positively Affect Patient Outcomes and Save Lives?

Natalia Olchanski, Mikhail A Dziadzko, Ing C Tiong, Craig E Daniels, Steve G Peters, John C O'Horo, Michelle N Gong

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of medical systems, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
9.7field-weighted citation impact, top 2% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

  1. Novel displays of patient information in critical care settings: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. The Future of Critical Care Lies in Quality Improvement and Education.Annals of the American Thoracic Society · 2019
    Article
  13. 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

7 authors at 4 institutions in 1 country.

Natalia OlchanskiThe Center for the Evaluation of Value and Risk in Health, Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, 800 Washington Street #63, Boston, MA, 02111, USA. NOlchanski@tuftsmedicalcenter.org.ORCID http://orcid.org/0000-0002-9983-8166
Mikhail A DziadzkoDepartment of Anesthesiology, Mayo Clinic, Rochester, MN, USA.
Ing C TiongDepartment of Information Technology, Mayo Clinic, Rochester, MN, USA.
Craig E DanielsDepartment of Pulmonology and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
Steve G PetersDepartment of Pulmonology and Critical Care Medicine, Mayo Clinic, Rochester, MN, USA.
John C O'HoroDepartment of Medicine, Division of Infectious Diseases, Mayo Clinic, Rochester, MN, USA.
Michelle N GongDepartment of Medicine, Montefiore Medical Center/Albert Einstein College of Medicine, New York, NY, USA.
Mayo Clinic · USMayo Clinic in Arizona · USAlbert Einstein College of Medicine · USTufts Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to quantify the impact of ProCCESs AWARE, Ambient Clinical Analytics, Rochester, MN, a novel acute care electronic medical record interface, on a range of care process and patient health outcome metrics in intensive care units (ICUs). ProCCESs AWARE is a novel acute care EMR interface that contains built-in tools for error prevention, practice surveillance, decision support and reporting. We compared outcomes before and after AWARE implementation using a prospective cohort and a historical control. The study population included all critically ill adult patients (over 18 years old) admitted to four ICUs at Mayo Clinic, Rochester, MN, who stayed in hospital at least 24 h. The pre-AWARE cohort included 983 patients from 2010, and the post-AWARE cohort included 856 patients from 2014. We analyzed patient health outcomes, care process quality, and hospital charges. After adjusting for patient acuity and baseline demographics, overall in-hospital and ICU mortality odds ratios associated with AWARE intervention were 0.45 (95% confidence interval 0.30 to 0.70) and 0.38 (0.22, 0.66). ICU length of stay decreased by about 50%, hospital length of stay by 37%, and total charges for hospital stay by 30% in post AWARE cohort (by $43,745 after adjusting for patient acuity and demographics). Better organization of information in the ICU with systems like AWARE has the potential to improve important patient outcomes, such as mortality and length of stay, resulting in reductions in costs of care.

Indexed as

Data DisplayCritical IllnessHospital MortalityHumansIntensive Care UnitsLength of StayProspective StudiesEMRICUQuality

Identifiers

PMID28921446
OpenAlexW2755950337

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.