Christoffer Bjerre Haase
PhD fellow
Section of Health Services Research
Postboks 2099, Øster Farimagsgade 5 opg. Q
1014 København K
Member of:
- 2023
- Published
E4M_1.1: paternalism vs autonomy
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_1.2: evidence vs truth
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_1.3: law vs ethics
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_1.4: explanation vs justification
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_1.5: permissible vs obligatory
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_1.6: kant vs consequentialism
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_1.7: ontology vs epistemology
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_1.8: wegovy for all?
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_2.1: ezio's vasectomy
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Education
- Published
E4M_2.2: equality vs responsibility?
Di Nucci, Ezio & Haase, Christoffer Bjerre, 2023Research output: Non-textual form › Sound/Visual production (digital) › Communication
- Published
- Published
E4M_2.4: the ethics of reproductive technologies
Di Nucci, Ezio, Haase, Christoffer Bjerre & Lee, Ji Young, 2023Research output: Non-textual form › Sound/Visual production (digital) › Communication
- Published
E4M_2.5: reciprocity vs solidarity with O Spalletta
Di Nucci, Ezio, Haase, Christoffer Bjerre & Spalletta, Olivia , 2023Research output: Non-textual form › Sound/Visual production (digital) › Communication
- Published
- Published
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Data as symptom: Doctors' responses to patient-provided data in general practice
Haase, Christoffer Bjerre, Ajjawi, R., Bearman, M., Brodersen, John Brandt, Risør, Torsten & Hoeyer, Klaus, 2023, In: Social Studies of Science. 53, 4, 23 p.Research output: Contribution to journal › Journal article › Research › peer-review
- Published
Datafying Diagnosis: Data Work in General Practice
Haase, Christoffer Bjerre, 2023, 147 p.Research output: Book/Report › Ph.D. thesis › Research
- Published
Dit smartwatch gør dig nok ikke sundere, men det gør wellnessproducenterne rigere
Haase, Christoffer Bjerre, Spalletta, Olivia & Green, Sara, 8 Dec 2023, In: Information. 1 p.Research output: Contribution to journal › Contribution to newspaper - Newspaper article › Communication
- Published
Hvordan håndterer praktiserende læger patienters selvmålte data?
Haase, Christoffer Bjerre, 2023, In: Practicus. 268, p. 16-17 2 p.Research output: Contribution to journal › Journal article › Communication
- Published
Vi tror, at flere data i sig selv løser problemer – det er helt naivt
Haase, Christoffer Bjerre, 2023, In: Berlingske Tidende.Research output: Contribution to journal › Contribution to newspaper - Feature article › Communication
ID: 203701509
Most downloads
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197
downloads
On assessing trustworthy AI in healthcare: Best practice for machine learning as a supportive tool to recognize cardiac arrest in emergency calls
Research output: Contribution to journal › Journal article › Research › peer-review
Published -
101
downloads
The lack of ontological awareness in evidence-based medicine allows overdiagnosis
Research output: Contribution to journal › Conference abstract in journal › Research › peer-review
Published -
88
downloads
Co-design of a trustworthy AI system in healthcare: Deep learning based skin lesion classifier
Research output: Contribution to journal › Journal article › Research › peer-review
Published