Evidence map›Paper›PMID 30815062›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2018

The Impact of an Enterprise Electronic Medical Record (EEMR) Model vs a Clinical Information System (CIS) Model on Usability, Efficiency, and Adaptability.

Ali Besiso, Jon D Patrick, Gard Dip, Vickie Ho, Yuzhong Cheng

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

5 authors at 1 institution in 1 country.

Ali BesisoInnovative Clinical Information Management Systems (iCIMS), Sydney, New South Wales, Australia.
Jon D PatrickInnovative Clinical Information Management Systems (iCIMS), Sydney, New South Wales, Australia.
Gard DipInnovative Clinical Information Management Systems (iCIMS), Sydney, New South Wales, Australia.
Vickie HoInnovative Clinical Information Management Systems (iCIMS), Sydney, New South Wales, Australia.
Yuzhong ChengInnovative Clinical Information Management Systems (iCIMS), Sydney, New South Wales, Australia.
Innovative Clinical Research · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes a methodology that engages the clinical community into the design process of creating Clinical Information Systems (CISs) under a Clinical Team-Led Design (CTLD) approach in the context of using Immediately Adaptable (IA) system development technology. The methodology is contrasted against the Enterprise Electronic Medical Record (EEMR) model for usability, efficiency, and adaptability. The methodology was tested in a Breast Cancer setting where the CIS went through 4 rapid agile stages. Time and motion statistics, training times, system changes, and user feedback data was collected for assessment. The results showed that the Breast CIS increased time efficiency by 30% in the first 3 months of implementation. Users reported high usability and trainability of the system. Over 95% of system design change requests were satisfied with an average turn-around time of 3 days. The results show that systems designed under a CTLD approach, accompanied by Immediately Adaptable system architecture, provide greater efficiency for staff in clinical settings while enabling the workflow processes to be adapted dynamically as part of continuous process improvement.

Indexed as

Computer SystemsDecision Support Systems, ClinicalMedical Records Systems, ComputerizedWorkflowAttitude of Health PersonnelAttitude to ComputersBreast NeoplasmsEfficiencyHumansUser-Computer Interface

Identifiers

PMID30815062
PMCPMC6371262
OpenAlexW2941270760

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.