Rainu Kaushal

19.2k total citations · 8 hit papers
218 papers, 13.3k citations indexed

About

Rainu Kaushal is a scholar working on Health Information Management, General Health Professions and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Rainu Kaushal has authored 218 papers receiving a total of 13.3k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Health Information Management, 73 papers in General Health Professions and 64 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Rainu Kaushal's work include Electronic Health Records Systems (108 papers), Healthcare Systems and Technology (64 papers) and Patient Safety and Medication Errors (41 papers). Rainu Kaushal is often cited by papers focused on Electronic Health Records Systems (108 papers), Healthcare Systems and Technology (64 papers) and Patient Safety and Medication Errors (41 papers). Rainu Kaushal collaborates with scholars based in United States, Israel and Canada. Rainu Kaushal's co-authors include David W. Bates, Kaveh G Shojania, Lisa M. Kern, Alison Edwards, Erika L. Abramson, Christopher P. Landrigan, Jeffrey M. Rothschild, Jessica S. Ancker, Elisabeth Burdick and David Blumenthal and has published in prestigious journals such as New England Journal of Medicine, JAMA and Nature Medicine.

In The Last Decade

Rainu Kaushal

214 papers receiving 12.6k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Medication Errors and Adverse Drug Events in Pediatric Inpatients

2001 1.5k citations Rainu Kaushal profile →
Effect of Reducing Interns' Work Hours on Serious Medical Errors in Intensive Care Units

2004 1.3k citations Rainu Kaushal, David W. Bates et al. profile →
Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review.

2003 1.0k citations Rainu Kaushal, David W. Bates et al. PubMed profile →
Electronic Health Records in Ambulatory Care — A National Survey of Physicians

2008 823 citations Sowmya R. Rao, Rainu Kaushal et al. profile →
The Critical Care Safety Study: The incidence and nature of adverse events and serious medical errors in intensive care*

2005 667 citations Rainu Kaushal, David W. Bates et al. profile →
Effects of workload, work complexity, and repeated alerts on alert fatigue in a clinical decision support system

2017 381 citations Jessica S. Ancker, Alison Edwards et al. profile →
Data-driven identification of post-acute SARS-CoV-2 infection subphenotypes

2022 108 citations Hao Zhang, Fei Wang et al. profile →
Racial/Ethnic Disparities in Post-acute Sequelae of SARS-CoV-2 Infection in New York: an EHR-Based Cohort Study from the RECOVER Program

2023 70 citations Rainu Kaushal et al. Journal of General Internal Medicine profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Rainu Kaushal	5.1k	4.2k	3.1k	2.8k	1.8k	218	13.3k
Tejal K. Gandhi	2.7k 0.5×	3.9k 0.9×	3.1k 1.0×	3.5k 1.2×	900 0.5×	127	11.7k
Johanna Westbrook	4.2k 0.8×	3.0k 0.7×	5.3k 1.7×	2.0k 0.7×	1.6k 0.9×	541	14.5k
Gilad J. Kuperman	5.7k 1.1×	2.3k 0.6×	1.7k 0.5×	2.0k 0.7×	1.4k 0.8×	174	9.4k
Kaveh G Shojania	2.1k 0.4×	2.7k 0.7×	3.5k 1.1×	1.2k 0.4×	486 0.3×	142	11.6k
Lucian L. Leape	2.7k 0.5×	6.9k 1.7×	3.1k 1.0×	4.2k 1.5×	381 0.2×	172	16.3k
Dean F. Sittig	7.3k 1.4×	2.0k 0.5×	3.1k 1.0×	1.2k 0.4×	2.0k 1.1×	361	14.0k
Jeffrey L. Schnipper	1.3k 0.3×	2.0k 0.5×	3.1k 1.0×	3.5k 1.2×	570 0.3×	229	10.1k
Troyen A. Brennan	2.5k 0.5×	5.6k 1.3×	6.8k 2.2×	1.8k 0.6×	588 0.3×	314	22.6k
Anthony Avery	1.5k 0.3×	1.7k 0.4×	2.7k 0.9×	3.0k 1.1×	521 0.3×	267	10.9k
Charles Vincent	3.0k 0.6×	9.3k 2.2×	4.7k 1.5×	1.2k 0.4×	394 0.2×	449	23.4k

Countries citing papers authored by Rainu Kaushal

Since Specialization

Citations

This map shows the geographic impact of Rainu Kaushal's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rainu Kaushal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rainu Kaushal more than expected).

Fields of papers citing papers by Rainu Kaushal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rainu Kaushal. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rainu Kaushal. The network helps show where Rainu Kaushal may publish in the future.

Co-authorship network of co-authors of Rainu Kaushal

This figure shows the co-authorship network connecting the top 25 collaborators of Rainu Kaushal. A scholar is included among the top collaborators of Rainu Kaushal based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rainu Kaushal. Rainu Kaushal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Muellers, Kimberly, Katerina Andreadis, Rahma Mkuu, et al.. (2024). Telemedicine decision-making in primary care during the COVID-19 pandemic: Balancing patient agency and provider expertise. Health Policy and Technology. 13(2). 100839–100839.

Goytia, Crispin, Katerina Andreadis, Natalie C. Benda, et al.. (2023). Development of a novel instrument to characterize telemedicine programs in primary care. BMC Health Services Research. 23(1). 1274–1274. 2 indexed citations

Muellers, Kimberly, Katerina Andreadis, Jessica S. Ancker, et al.. (2023). Provider and Patient Experiences of Delays in Primary Care During the Early COVID-19 Pandemic. Journal for Healthcare Quality. 45(3). 169–176. 12 indexed citations

Andreadis, Katerina, Kimberly Muellers, Jessica S. Ancker, et al.. (2023). Telemedicine Impact on the Patient–Provider Relationship in Primary Care During the COVID-19 Pandemic. Medical Care. 61(Suppl 1). S83–S88. 49 indexed citations

Yang, He S., Yu Hou, Hao Zhang, et al.. (2021). Machine Learning Highlights Downtrending of COVID-19 Patients with a Distinct Laboratory Profile. SHILAP Revista de lepidopterología. 2021. 7574903–7574903. 3 indexed citations

Forrest, Christopher B., Haolin Xu, Laine Thomas, et al.. (2021). Impact of the Early Phase of the COVID-19 Pandemic on US Healthcare Workers: Results from the HERO Registry. Journal of General Internal Medicine. 36(5). 1319–1326. 51 indexed citations

Yang, He S., Yu Hou, Ljiljana V. Vasović, et al.. (2020). Routine Laboratory Blood Tests Predict SARS-CoV-2 Infection Using Machine Learning. Clinical Chemistry. 66(11). 1396–1404. 76 indexed citations

Racine‐Brzostek, Sabrina, He S. Yang, Amy Chadburn, et al.. (2020). COVID-19 Viral and Serology Testing in New York City Health Care Workers. American Journal of Clinical Pathology. 154(5). 592–595. 8 indexed citations

Ancker, Jessica S., Samantha K. Brenner, Joshua E. Richardson, Michael Silver, & Rainu Kaushal. (2015). Trends in public perceptions of electronic health records during early years of meaningful use.. PubMed. 21(8). e487–93. 13 indexed citations

10.

Kaushal, Rainu, Alison Edwards, & Lisa M. Kern. (2015). Association between the patient-centered medical home and healthcare utilization.. PubMed. 21(5). 378–86. 11 indexed citations

11.

Kierkegaard, Patrick, Rainu Kaushal, & Joshua R. Vest. (2014). Applications of health information exchange information to public health practice.. PubMed. 2014. 795–804. 12 indexed citations

12.

Ancker, Jessica S., et al.. (2013). Financial effects of health information technology: a systematic review.. PubMed. 19(10 Spec No). SP369–76. 8 indexed citations

13.

Abramson, Erika L., Sameer Malhotra, Snezana Nena Osorio, et al.. (2013). A long-term follow-up evaluation of electronic health record prescribing safety. Journal of the American Medical Informatics Association. 20(e1). e52–e58. 31 indexed citations

14.

Campion, Thomas R., Jessica S. Ancker, Alison Edwards, Vaishali Patel, & Rainu Kaushal. (2012). Push and pull: physician usage of and satisfaction with health information exchange.. PubMed. 2012. 77–84. 27 indexed citations

15.

Richardson, Joshua E., Erika L. Abramson, Elizabeth R. Pfoh, & Rainu Kaushal. (2011). How communities are leveraging the health information technology workforce to implement electronic health records.. PubMed. 2011. 1186–95. 4 indexed citations

16.

Patel, Vaishali, et al.. (2011). Consumer attitudes toward personal health records in a beacon community.. PubMed. 17(4). e104–20. 55 indexed citations

17.

Sullivan, Ashley F., Carlos A. Camargo, Paul D. Cleary, et al.. (2007). The National Emergency Department Safety Study: Study Rationale and Design. Academic Emergency Medicine. 14(12). 1182–1189. 23 indexed citations

18.

19.

Simon, Steven R., Rainu Kaushal, Paul D. Cleary, et al.. (2006). Correlates of electronic health record adoption in office practices: a statewide survey.. PubMed. 1098–1098. 22 indexed citations

20.

Simon, Steven R., Rainu Kaushal, Chelsea Jenter, et al.. (2006). Electronic health records: which practices have them and how are clinicians using them?. PubMed. 1097–1097. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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