Evidence map›Paper›PMID 32166499›Full record

ArticleJournal of medical systems2020

Improving Health Care Management in Hospitals Through a Productivity Dashboard.

Miguel Pestana, Ruben Pereira, Sérgio Moro

Abstract read
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In one paragraph

Article in Journal of medical systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Designing a Clinical Education Tracking System: An Innovative Approach.Advances in medical education and practice · 2021
    Article
  11. 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

3 authors.

Miguel PestanaDCTI, ISCTE-Instituto Universitário de Lisboa, Line 1: Av. das Forças Armadas, 1649-026, Lisbon, Portugal.
Ruben PereiraDCTI, ISCTE-Instituto Universitário de Lisboa, Line 1: Av. das Forças Armadas, 1649-026, Lisbon, Portugal. rubenfspereira@gmail.com.ORCID http://orcid.org/0000-0002-3001-5911
Sérgio MoroDCTI, ISCTE-Instituto Universitário de Lisboa, Line 1: Av. das Forças Armadas, 1649-026, Lisbon, Portugal.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Health information systems have been developed to help hospital managers steer daily operations, including key performance indicators (KPIs) for monitoring on a time-aggregated basis. Yet, current literature lacks in proposals of productivity dashboards to assist hospitals stakeholders. This research focuses on two related problems: (1) hospital organizations need access to productivity information to improve access to services; and (2) managers need productivity information to optimize resource allocation. This research consists in the development of dashboards to monitor information obtained from a hospital organization to support decision makers. To develop and evaluate the productivity dashboard, the Design Science Research (DSR) methodology was adopted. The dashboard was evaluated by stakeholders of a large Portuguese hospital who contributed to iteratively improving its design toward a useful decision support tool. Additionally, it was ascertained that monitoring productivity needs more study and that the dashboards on these themes are valuable assets at a monitoring level and subsequent decision-making process.

Indexed as

BenchmarkingEfficiency, OrganizationalHealth Information SystemsDecision Support Systems, ManagementDelivery of Health CareHospital AdministrationBusiness intelligenceDashboardHealth information systemsHospital managementKPI

Identifiers

What OpenQuestion holds

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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.