Evidence map›Paper›PMID 31098079›Full record

ArticleFuture hospital journal2015

Health information technology in hospitals: current issues and future trends.

Kathrin M Cresswell, Aziz Sheikh

Abstract read
In one paragraph

Article in Future hospital journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. [Use of AI-based applications by hospital staff: task profiles and qualification requirements].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2024
    Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Future Research in Health Information Technology: A Review.Perspectives in health information managemen · 2017
    Review
  10. Ten key considerations for the successful optimization of large-scale health information technology.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  11. Article
  12. Article
  13. Article
  14. 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

2 authors.

Kathrin M CresswellCentre for Population Health Sciences, University of Edinburgh.
Aziz SheikhCentre for Population Health Sciences, University of Edinburgh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Healthcare is at an important crossroads in that current models of care are increasingly seen by politicians and policymakers as unsustainable. Furthermore, there is a need to move away from the reactive, doctor-centred model of care to one that is more patient-centred and that consistently delivers accessible, high-quality and safe care to all. Greater use of health information technology (HIT) is seen by many key decision makers as crucial to this transformation process and, hence, substantial investments are made in this area. However, healthcare, particularly in UK hospitals, remains a laggard in HIT adoption. To uncover the underlying reasons, we discuss current implementation and adoption challenges and explore potential ways to address these. We outline strategic, organisational, technical and social factors that can 'make or break' technological implementations. Most importantly, we suggest that efforts should be characterised by an underlying awareness of the complexity of the hospital environment and the need to develop tools that support provision of integrated multidisciplinary care. We conclude with a discussion of promising future developments, including increased patient involvement; access and contribution to shared records; the penetration of smart devices; greater health information exchange and interoperability; and innovative real-time secondary uses of data. We argue that there is considerable merit in evaluating the introduction of these interventions to help ensure that they are optimised for effectiveness, support efficient working and minimise the possibility of inadvertently introducing new risks into already complex health systems. Our over-riding message is that HIT should be seen as, where appropriate, a potential enabler and an important source of data to support healthcare redesign and that critical, ongoing evaluation is key to maximising benefits. However, it should not be seen as a silver bullet.

Indexed as

adoptionHealth information technologyhospitalsimplementation

Identifiers

PMID31098079
PMCPMC6465875

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.