The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Connecting Systems, Data, and People: A Multidisciplinary Research Roadmap for Chronic Disease Management
Open accessAbstract
Introduction to Special Issue: The Role of Information Systems and Analytics in Chronic Disease Prevention and Management
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Cites
High-performance medicine: the convergence of human and artificial intelligence
Topol, E. J. (2019) · Nature Medicine · doi:10.1038/s41591-018-0300-7 · Cited by 10,450
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Self-citationThe Triple Aim: Care, Health, And Cost
Berwick, D. M., Nolan, T. W., & Whittington, J. (2008) · Health Affairs · doi:10.1377/hlthaff.27.3.759 · Cited by 5,136
Patient Self-management of Chronic Disease in Primary Care
Bodenheimer, T. (2002) · JAMA · doi:10.1001/jama.288.19.2469 · Cited by 3,598 · cited 1×
“Drawing on the “patient–physician partnership” paradigm for managing chronic disease (Bodenheimer et al. 2002), they suggest that physician-driven OHCs facilitate patient–physician collaborative care and self-management support, which may improve the patient’s relationship with the physician as…”
Fitzpatrick, K. K., Darcy, A., & Vierhile, M. (2017) · JMIR Mental Health · doi:10.2196/mental.7785 · Cited by 2,730 · cited 1×
“Research has explored use of conversational agents for mental health conditions (Fitzpatrick et al., 2017; Park et al. 2019; Suganuma et al. 2018), autism (Tanaka et al. 2017), education (Bickmore et al. 2010), searches for clinical trials (Bickmore et al. 2016), and engagement of the elderly in…”
Miotto, R., Li, L., Kidd, B. A., & Dudley, J. T. (2016) · Scientific Reports · doi:10.1038/srep26094 · Cited by 1,710
Angst, C. M., & Agarwal, R. (2009) · MIS Quarterly · doi:10.2307/20650295 · Cited by 1,043
An ingestible bacterial-electronic system to monitor gastrointestinal health
Mimee, M., Nadeau, P., Hayward, A., Carim, S., Flanagan, S., Jerger, L., Collins, J., McDonnell, S., Swartwout, R., Citorik, R. J., et al. (2018) · Science · doi:10.1126/science.aas9315 · Cited by 606
Kitsiou, S., Paré, G., & Jaana, M. (2015) · Journal of Medical Internet Research · doi:10.2196/jmir.4174 · Cited by 327 · cited 1×
“With the increasing presence of sensors, telemonitoring technologies have the potential to provide continuous feedback of a chronic patient’s condition either to the patient or to their healthcare providers (Kitsiou et al. 2015).”
Thomaz, F., Salge, C., Karahanna, E., & Hulland, J. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00704-3 · Cited by 204 · cited 1×
“…in terms of text versus voice, embodiment, anthropomorphization (e.g., gender, age, race, etc.), whether to use homophilous anthropomorphism or not, personality, emotional intelligence, personalization mechanisms, and conversational structures and flow (for a discussion see Thomaz et al. 2020).”
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Cited by
The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Maleki Varnosfaderani, S., & Forouzanfar, M. (2024) · Bioengineering · doi:10.3390/bioengineering11040337 · Cited by 931
Sources of bias in artificial intelligence that perpetuate healthcare disparities—A global review
Celi, L. A., Cellini, J., Charpignon, M.-L., Dee, E. C., Dernoncourt, F., Eber, R., Mitchell, W. G., Moukheiber, L., Schirmer, J., Situ, J., et al. (2022) · PLOS Digital Health · doi:10.1371/journal.pdig.0000022 · Cited by 576
Adoption of Machine Learning Systems for Medical Diagnostics in Clinics: Qualitative Interview Study
Pumplun, L., Fecho, M., Wahl, N., Peters, F., & Buxmann, P. (2021) · Journal of Medical Internet Research · doi:10.2196/29301 · Cited by 57
Wang, B., Asan, O., & Mansouri, M. (2023) · JMIR Human Factors · doi:10.2196/49788 · Cited by 23
Stylos, N., Okumus, F., & Onder, I. (2025) · Tourism Management · doi:10.1016/j.tourman.2025.105205 · Cited by 18
Metadata
- Authors
- Bardhan, I., Chen, H., & Karahanna, E.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2020-03-01
- Volume
- 44
- Issue
- 1
- Pages
- 185-200
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W3009734525
- Cited by
- 167
- References
- 14
- FWCI
- 18.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- CoChat. (2026). Citation check: Connecting Systems, Data, and People: A Multidisciplinary Research Roadmap for Chronic Disease Management. https://app.cochat.ai/papers/10.25300/misq/2020/14644
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- Bardhan, I., Chen, H., & Karahanna, E. (2020). Connecting Systems, Data, and People: A Multidisciplinary Research Roadmap for Chronic Disease Management. MIS Quarterly. https://doi.org/10.25300/misq/2020/14644
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
