Evidence map›Paper›PMID 34574802›Full record

ArticleInternational journal of environmental research and public health2021

A Vision of Future Healthcare: Potential Opportunities and Risks of Systems Medicine from a Citizen and Patient Perspective-Results of a Qualitative Study.

Clarissa Lemmen, Dusan Simic, Stephanie Stock

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Strategy amidst complexity-what lies ahead for Indian healthcare.The Lancet regional health. Southeast Asia · 2023
    Article
  3. Article
  4. Digital Transformation in Healthcare: Technology Acceptance and Its Applications.International journal of environmental research and public health · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. 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

3 authors.

Clarissa LemmenInstitute for Health Economics and Clinical Epidemiology (IGKE), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50935 Cologne, Germany.ORCID 0000-0001-9205-6551
Dusan SimicInstitute for Health Economics and Clinical Epidemiology (IGKE), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50935 Cologne, Germany.ORCID 0000-0002-7325-9481
Stephanie StockInstitute for Health Economics and Clinical Epidemiology (IGKE), University of Cologne, Faculty of Medicine and University Hospital Cologne, 50935 Cologne, Germany.ORCID 0000-0002-1726-9300

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in (bio)medicine and technological innovations make it possible to combine high-dimensional, heterogeneous health data to better understand causes of diseases and make them usable for predictive, preventive, and precision medicine. This study aimed to determine views on and expectations of "systems medicine" from the perspective of citizens and patients in six focus group interviews, all transcribed verbatim and content analyzed. A future vision of the use of systems medicine in healthcare served as a stimulus for the discussion. The results show that although certain aspects of systems medicine were seen positive (e.g., use of smart technology, digitalization, and networking in healthcare), the perceived risks dominated. The high degree of technification was perceived as emotionally burdensome (e.g., reduction of people to their data, loss of control, dehumanization). The risk-benefit balance for the use of risk-prediction models for disease events and trajectories was rated as rather negative. There were normative and ethical concerns about unwanted data use, discrimination, and restriction of fundamental rights. These concerns and needs of citizens and patients must be addressed in policy frameworks and health policy implementation strategies to reduce negative emotions and attitudes toward systems medicine and to take advantage of its opportunities.

Indexed as

Artificial IntelligenceDelivery of Health CareHealth FacilitiesHumansPrecision MedicineSystems Analysisartificial intelligencebig datadigital healthimplementationpersonalized medicineprecision medicinesystems biologysystems medicine

Identifiers

PMID34574802
PMCPMC8465522

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.