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Attention Score in Context
| Title |
The impact of artificial intelligence on the person-centred, doctor-patient relationship: some problems and solutions
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, April 2023
|
| DOI | 10.1186/s12911-023-02162-y |
| Pubmed ID | |
| Authors |
Aurelia Sauerbrei, Angeliki Kerasidou, Federica Lucivero, Nina Hallowell |
| Abstract |
Artificial intelligence (AI) is often cited as a possible solution to current issues faced by healthcare systems. This includes the freeing up of time for doctors and facilitating person-centred doctor-patient relationships. However, given the novelty of artificial intelligence tools, there is very little concrete evidence on their impact on the doctor-patient relationship or on how to ensure that they are implemented in a way which is beneficial for person-centred care.Given the importance of empathy and compassion in the practice of person-centred care, we conducted a literature review to explore how AI impacts these two values. Besides empathy and compassion, shared decision-making, and trust relationships emerged as key values in the reviewed papers. We identified two concrete ways which can help ensure that the use of AI tools have a positive impact on person-centred doctor-patient relationships. These are (1) using AI tools in an assistive role and (2) adapting medical education. The study suggests that we need to take intentional steps in order to ensure that the deployment of AI tools in healthcare has a positive impact on person-centred doctor-patient relationships. We argue that the proposed solutions are contingent upon clarifying the values underlying future healthcare systems. |
X Demographics
The data shown below were collected from the profiles of 7 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 14% |
| Belgium | 1 | 14% |
| Unknown | 5 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 43% |
| Scientists | 2 | 29% |
| Practitioners (doctors, other healthcare professionals) | 2 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 108 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 15 | 14% |
| Unspecified | 9 | 8% |
| Researcher | 7 | 6% |
| Student > Ph. D. Student | 6 | 6% |
| Other | 5 | 5% |
| Other | 13 | 12% |
| Unknown | 53 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 16% |
| Computer Science | 8 | 7% |
| Unspecified | 8 | 7% |
| Nursing and Health Professions | 4 | 4% |
| Engineering | 3 | 3% |
| Other | 15 | 14% |
| Unknown | 53 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 June 2023.
All research outputs
#8,038,186
of 25,042,800 outputs
Outputs from BMC Medical Informatics and Decision Making
#769
of 2,126 outputs
Outputs of similar age
#136,372
of 400,276 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#7
of 32 outputs
Altmetric has tracked 25,042,800 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,126 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 63% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 400,276 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.