The DOI matches its Crossref record; 49 of the 50 references it cites were found in a registry or an index.
Investigating the Heart Pump Implant Decision Process: Opportunities for Decision Support Tools to Help
Open accessAbstract
Clinical decision support tools (DSTs) are computational systems that aid healthcare decision-making. While effective in labs, almost all these systems failed when they moved into clinical practice. Healthcare researchers speculated it is most likely due to a lack of user-centered HCI considerations in the design of these systems. This paper describes a field study investigating how clinicians make a heart pump implant decision with a focus on how to best integrate an intelligent DST into their work process. Our findings reveal a lack of perceived need for and trust of machine intelligence, as well as many barriers to computer use at the point of clinical decision-making. These findings suggest an alternative perspective to the traditional use models, in which clinicians engage with DSTs at the point of making a decision. We identify situations across patients' healthcare trajectories when decision supports would help, and we discuss new forms it might take in these situations.
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“They found that users saw little need for the tool, lacked trust in its output, and faced environmental barriers that made it difficult to use.”
From Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty (2021) · cites this paper as [132]
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“Only recently have HCI researchers in these settings begun to investigate institutional contexts behind these failures [83], noting primarily that airdropped decision support systems often fail to embrace the richness of the clinical context.”
From Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (2018) · cites this paper as [83]
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“As observed in studies of clinical decision tools, which often fail to be adopted [83], organisational conditions are often missed in design contexts.”
From Fairness and Accountability Design Needs for Algorithmic Support in High-Stakes Public Sector Decision-Making (2018) · cites this paper as [83]
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Kawamoto, K., Houlihan, C. A., Balas, E. A., & Lobach, D. F. (2005) · BMJ · doi:10.1136/bmj.38398.500764.8f · Cited by 2,703
The Seattle Heart Failure Model
Levy, W. C., Mozaffarian, D., Linker, D. T., Sutradhar, S., Anker, S. D., Cropp, A. B., Anand, I. S., Maggioni, A. P., Burton, P. B. J., Sullivan, M. D., et al. (2006) · Circulation · doi:10.1161/circulationaha.105.584102 · Cited by 2,024
Ash, J. S. (2003) · Journal of the American Medical Informatics Association · doi:10.1197/jamia.m1471 · Cited by 1,789
An integrative model of shared decision making in medical encounters
Makoul, G. T., & Clayman, M. L. (2005) · Patient Education and Counseling · doi:10.1016/j.pec.2005.06.010 · Cited by 1,703
Feldman, D. S., Pamboukian, S. V., Teuteberg, J. J., Birks, E. J., Lietz, K., Moore, S. A., Morgan, J. A., Arabía, F. A., Bauman, M. E., Buchholz, H. W., et al. (2013) · The Journal of Heart and Lung Transplantation · doi:10.1016/j.healun.2012.09.013 · Cited by 1,384
Service Blueprinting: A Practical Technique for Service Innovation
Bitner, M. J., Ostrom, A. L., & Morgan, F. N. (2008) · California Management Review · doi:10.2307/41166446 · Cited by 1,334
Benza, R. L., Miller, D. P., Barst, R. J., Badesch, D. B., Frost, A., & McGoon, M. D. (2012) · CHEST Journal · doi:10.1378/chest.11-1460 · Cited by 1,107
Decision Making in Advanced Heart Failure
Allen, L. A., Stevenson, L. W., Grady, K. L., Goldstein, N. E., Matlock, D. D., Arnold, R. M., Cook, N. R., Felker, G. M., Francis, G. S., Hauptman, P. J., et al. (2012) · Circulation · doi:10.1161/cir.0b013e31824f2173 · Cited by 833
Predictive data mining in clinical medicine: Current issues and guidelines
BELLAZZI, R., & ZUPAN, B. (2008) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2006.11.006 · Cited by 823
Coiera, E. W. (2003) · Routledge eBooks · doi:10.4324/9780203563298-15 · Cited by 809
Flagged first, then by citations
1 of the 50 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- Pelle Ehn . 1993. Scandinavian design: On participation and skill. Participatory design: Principles and practices ( 1993 ), 41-77. Pelle Ehn. 1993. Scandinavian design: On participation and skill. Participatory design: Principles and practices (1993), 41-77.
- 10.1037/0022-3514.71.2.315 · DOI
- Qian Yang , John Zimmerman , and Aaron Steinfeld . 2015 . Review of Medical Decision Support Tools : Emerging Opportunity for Interaction Design . In IASDR 2015 Interplay Proceedings. Qian Yang, John Zimmerman, and Aaron Steinfeld. 2015. Review of Medical Decision Support Tools : Emerging Opportunity for Interaction Design. In IASDR 2015 Interplay Proceedings.
Cited by
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Items 101–105 of 105
Pourian, J., & Oates, A. (2025) · Health Informatics Journal · doi:10.1177/14604582251401402
Kawakami, A., Taylor, J., Fox, S., Zhu, H., & Holstein, K. (2026) · Big Data & Society · doi:10.1177/20539517261424164 · Cited by 3
Bawah, F. U., Abdulai, J., Baxter, W., & Porat, T. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3798827
Grundgeiger, T., Maurer, L., Hölzing, C. R., & Happel, O. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790619
Metadata
- Authors
- Yang, Q., Zimmerman, J., Steinfeld, A., Carey, L., & Antaki, J. F.
- Affiliations
- Carnegie Mellon University (US)
- University of Pittsburgh (US)
- Venue
- Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2016-05-07
- Volume
- 2016
- Pages
- 4477-4488
- PMC
- PMC5101017
- OpenAlex
- W2397156396
- Cited by
- 105
- References
- 50
- Citations by year
- 2026: 5 · 2025: 12 · 2024: 12 · 2023: 20 · 2022: 15 · 2021: 10 · 2020: 7 · 2019: 11 · 2018: 9 · 2017: 4
- FWCI
- 11.12
- Type
- conference paper
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH National Heart Lung and Blood Institute (NHLBI) (1R01HL122639-01A1)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Technology and Human Factors in Education and Health
- Keywords
- clinical decision support systems, clinical decision-making, user-centered design, human-computer interaction in healthcare, barriers to computer use, clinical workflow integration, care pathways
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