Work with thought leaders and academic experts in health information management
Companies can benefit from collaborating with academic researchers in Health Information Management in several ways. These experts can help enhance data management systems, improve healthcare outcomes, provide valuable insights for decision-making, develop innovative solutions, and contribute to research and development efforts. By partnering with these researchers, companies can stay ahead of industry trends, ensure compliance with regulations, optimize processes, and leverage cutting-edge technology. Additionally, collaboration with academic researchers can lead to knowledge transfer, networking opportunities, and access to funding and grants.
Researchers on NotedSource with backgrounds in health information management include Christos Makridis, Dr. Aalok Thakkar, Jim Samuel, Carissa Clark, Gwendolyn Thomas, Ph.D., Atefeh Abdolmanafi, Ph.D., Bernd Stahl, Xander van Wijk, PhD, DABCC, FADLM, Sheraz Ch, Syed Ishtiaque Ahmed, Kayvan Najarian, and Yasmeen George.
Christos Makridis
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Most Relevant Research Interests
Other Research Interests (15)
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Most Relevant Publications (2+)
25 total publications
Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans
JMIR Medical Informatics / Jun 02, 2021
Makridis, C., Hurley, S., Klote, M., & Alterovitz, G. (2021). Ethical Applications of Artificial Intelligence: Evidence From Health Research on Veterans. JMIR Medical Informatics, 9(6), e28921. https://doi.org/10.2196/28921
Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs
BMJ Health & Care Informatics / Jun 01, 2021
Makridis, C. A., Strebel, T., Marconi, V., & Alterovitz, G. (2021). Designing COVID-19 mortality predictions to advance clinical outcomes: Evidence from the Department of Veterans Affairs. BMJ Health & Care Informatics, 28(1), e100312. https://doi.org/10.1136/bmjhci-2020-100312
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Dr. Aalok Thakkar
Research Scientist focussed on integrating formal methods and artificial intelligence.
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Other Research Interests (8)
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Most Relevant Publications (1+)
12 total publications
Reopening businesses and risk of COVID-19 transmission
npj Digital Medicine / Mar 16, 2021
O’Donoghue, A., Dechen, T., Pavlova, W., Boals, M., Moussa, G., Madan, M., Thakkar, A., DeFalco, F. J., & Stevens, J. P. (2021). Reopening businesses and risk of COVID-19 transmission. Npj Digital Medicine, 4(1). https://doi.org/10.1038/s41746-021-00420-9
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Jim Samuel
Associate Professor at Rutgers University
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Other Research Interests (21)
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Most Relevant Publications (1+)
44 total publications
Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics
Healthcare / Aug 27, 2021
Ali, G. G. Md. N., Rahman, Md. M., Hossain, Md. A., Rahman, Md. S., Paul, K. C., Thill, J.-C., & Samuel, J. (2021). Public Perceptions of COVID-19 Vaccines: Policy Implications from US Spatiotemporal Sentiment Analytics. Healthcare, 9(9), 1110. https://doi.org/10.3390/healthcare9091110
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Carissa Clark
Associate Professor at Saint Louis University
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Other Research Interests (33)
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Most Relevant Publications (2+)
69 total publications
Three Types of Intimate Relationships among Individuals with Chronic Pain and a History of Trauma Exposure
Healthcare / Sep 29, 2017
van den Berk-Clark, C., Weaver, T., & Schneider, F. (2017). Three Types of Intimate Relationships among Individuals with Chronic Pain and a History of Trauma Exposure. Healthcare, 5(4), 68. https://doi.org/10.3390/healthcare5040068
Differences in the Association between Depression and Opioid Misuse in Chronic Low Back Pain versus Chronic Pain at Other Locations
Healthcare / Jun 16, 2016
Jaiswal, A., Scherrer, J., Salas, J., van den Berk-Clark, C., Fernando, S., & Herndon, C. (2016). Differences in the Association between Depression and Opioid Misuse in Chronic Low Back Pain versus Chronic Pain at Other Locations. Healthcare, 4(2), 34. https://doi.org/10.3390/healthcare4020034
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Gwendolyn Thomas, Ph.D.
Degreed Exercise Physiologist (PhD) with 15+ years experience in clinical research in oncology, obesity and chronic disease. Strong investigative and analytical skills that fostered relationships with expert faculty and collaborators across department, division and institution, as well as within industry, foundations and government to develop Clinical Trial Protocols, scientific publications, and presentations.
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Other Research Interests (27)
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Most Relevant Publications (1+)
47 total publications
Qualitative analysis addressing physician-perceived barriers to usage of electronic patient questionnaires in a colorectal clinic
Journal of Communication in Healthcare / Sep 25, 2014
Solomon, E. R., Thomas, G., & Gurland, B. (2014). Qualitative analysis addressing physician-perceived barriers to usage of electronic patient questionnaires in a colorectal clinic. Journal of Communication in Healthcare, 7(3), 208–213. https://doi.org/10.1179/1753807614y.0000000059
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Atefeh Abdolmanafi, Ph.D.
Ph.D. in Computer Science with publications on Medical AI
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Other Research Interests (12)
About
Most Relevant Publications (1+)
9 total publications
Intra-Slice Motion Correction of Intravascular OCT Images Using Deep Features
IEEE Journal of Biomedical and Health Informatics / May 01, 2019
Abdolmanafi, A., Duong, L., Dahdah, N., & Cheriet, F. (2019). Intra-Slice Motion Correction of Intravascular OCT Images Using Deep Features. IEEE Journal of Biomedical and Health Informatics, 23(3), 931–941. https://doi.org/10.1109/jbhi.2018.2878914
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Bernd Stahl
Director of the Centre for Computing and Social Responsibility
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Other Research Interests (52)
Most Relevant Publications (1+)
145 total publications
Who is Responsible for Responsible Innovation? Lessons From an Investigation into Responsible Innovation in Health Comment on "What Health System Challenges Should Responsible Innovation in Health Address? Insights From an International Scoping Review"
International Journal of Health Policy and Management / May 19, 2019
Stahl, B. C. (2019). Who is Responsible for Responsible Innovation? Lessons From an Investigation into Responsible Innovation in Health Comment on “What Health System Challenges Should Responsible Innovation in Health Address? Insights From an International Scoping Review.” International Journal of Health Policy and Management, 8(7), 447–449. https://doi.org/10.15171/ijhpm.2019.32
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Xander van Wijk, PhD, DABCC, FADLM
Strategic Leader in Clinical Diagnostics | Expert in Laboratory and Precision Medicine | Award-Winning Scientist & Author | CLIA Laboratory Director
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Other Research Interests (40)
About
Most Relevant Publications (1+)
59 total publications
Counterfeit Norco Poisoning Outbreak — San Francisco Bay Area, California, March 25–April 5, 2016
MMWR. Morbidity and Mortality Weekly Report / Apr 29, 2016
Vo, K. T., van Wijk, X. M. R., Lynch, K. L., Wu, A. H. B., & Smollin, C. G. (2016). Counterfeit Norco Poisoning Outbreak — San Francisco Bay Area, California, March 25–April 5, 2016. MMWR. Morbidity and Mortality Weekly Report, 65(16), 420–423. https://doi.org/10.15585/mmwr.mm6516e1
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Sheraz Ch
1DANA Brain Health Institute, Iranian Neuroscience Society-Fars Chapter, Shiraz, Iran 2Senses Cultural Foundation, Sacramento, CA, USA
Most Relevant Research Interests
Other Research Interests (15)
Most Relevant Publications (1+)
15 total publications
Awareness of Cardiovascular Disease Risk Factors by Community Pharmacists in Saudi Arabia
Healthcare / Jan 04, 2023
Sulaiteen, F. M., Al-Zaagi, I. A., Alenazi, M. S., Alotaibi, A. Z., Alghamdi, T. A., Yousaf, A., & Ali, S. (2023). Awareness of Cardiovascular Disease Risk Factors by Community Pharmacists in Saudi Arabia. Healthcare, 11(2), 151. https://doi.org/10.3390/healthcare11020151
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Syed Ishtiaque Ahmed
University of Toronto
Most Relevant Research Interests
Other Research Interests (26)
Most Relevant Publications (2+)
158 total publications
A data-driven validation of mobile-based care (mCARE) project for children with ASD in LMICs
Smart Health / Dec 01, 2022
Rabbani, M., Haque, M. M., Dipal, D. D., Zarif, M. I. I., Iqbal, A., Schwichtenberg, A., Bansal, N., Soron, T. R., Ahmed, S. I., & Ahamed, S. I. (2022). A data-driven validation of mobile-based care (mCARE) project for children with ASD in LMICs. Smart Health, 26, 100345. https://doi.org/10.1016/j.smhl.2022.100345
Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach
JMIR Medical Informatics / Jun 08, 2021
Haque, M. M., Rabbani, M., Dipal, D. D., Zarif, M. I. I., Iqbal, A., Schwichtenberg, A., Bansal, N., Soron, T. R., Ahmed, S. I., & Ahamed, S. I. (2021). Informing Developmental Milestone Achievement for Children With Autism: Machine Learning Approach. JMIR Medical Informatics, 9(6), e29242. https://doi.org/10.2196/29242
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Kayvan Najarian
Professor of Comp Med and Bioinf, Emergency Med, and Electrical and Comp Engineering
Most Relevant Research Interests
Other Research Interests (48)
Most Relevant Publications (6+)
106 total publications
Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome
IEEE Journal of Biomedical and Health Informatics / Jan 01, 2019
Reamaroon, N., Sjoding, M. W., Lin, K., Iwashyna, T. J., & Najarian, K. (2019). Accounting for Label Uncertainty in Machine Learning for Detection of Acute Respiratory Distress Syndrome. IEEE Journal of Biomedical and Health Informatics, 23(1), 407–415. https://doi.org/10.1109/jbhi.2018.2810820
Motion Artifact Suppression in Impedance Pneumography Signal for Portable Monitoring of Respiration: An Adaptive Approach
IEEE Journal of Biomedical and Health Informatics / Mar 01, 2017
Ansari, S., Ward, K. R., & Najarian, K. (2017). Motion Artifact Suppression in Impedance Pneumography Signal for Portable Monitoring of Respiration: An Adaptive Approach. IEEE Journal of Biomedical and Health Informatics, 21(2), 387–398. https://doi.org/10.1109/jbhi.2016.2524646
A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication
npj Digital Medicine / May 07, 2021
Farzaneh, N., Williamson, C. A., Gryak, J., & Najarian, K. (2021). A hierarchical expert-guided machine learning framework for clinical decision support systems: an application to traumatic brain injury prognostication. Npj Digital Medicine, 4(1). https://doi.org/10.1038/s41746-021-00445-0
Adaptive Real-Time Removal of Impulse Noise in Medical Images
Journal of Medical Systems / Oct 02, 2018
HosseinKhani, Z., Hajabdollahi, M., Karimi, N., Soroushmehr, R., Shirani, S., Najarian, K., & Samavi, S. (2018). Adaptive Real-Time Removal of Impulse Noise in Medical Images. Journal of Medical Systems, 42(11). https://doi.org/10.1007/s10916-018-1074-7
A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies
IEEE Journal of Biomedical and Health Informatics / Jan 01, 2023
Yao, H., Derksen, H., Golbus, J. R., Zhang, J., Aaronson, K. D., Gryak, J., & Najarian, K. (2023). A Novel Tropical Geometry-Based Interpretable Machine Learning Method: Pilot Application to Delivery of Advanced Heart Failure Therapies. IEEE Journal of Biomedical and Health Informatics, 27(1), 239–250. https://doi.org/10.1109/jbhi.2022.3211765
Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome
IEEE Journal of Biomedical and Health Informatics / Mar 01, 2021
Sabeti, E., Drews, J., Reamaroon, N., Warner, E., Sjoding, M. W., Gryak, J., & Najarian, K. (2021). Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome. IEEE Journal of Biomedical and Health Informatics, 25(3), 784–796. https://doi.org/10.1109/jbhi.2020.3008601
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Yasmeen George
Lecturer - Faculty of IT at Monash University
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Other Research Interests (22)
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Most Relevant Publications (2+)
21 total publications
Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images
IEEE Journal of Biomedical and Health Informatics / Dec 01, 2020
George, Y., Antony, B. J., Ishikawa, H., Wollstein, G., Schuman, J. S., & Garnavi, R. (2020). Attention-Guided 3D-CNN Framework for Glaucoma Detection and Structural-Functional Association Using Volumetric Images. IEEE Journal of Biomedical and Health Informatics, 24(12), 3421–3430. https://doi.org/10.1109/jbhi.2020.3001019
Automatic Scale Severity Assessment Method in Psoriasis Skin Images Using Local Descriptors
IEEE Journal of Biomedical and Health Informatics / Feb 01, 2020
George, Y., Aldeen, M., & Garnavi, R. (2020). Automatic Scale Severity Assessment Method in Psoriasis Skin Images Using Local Descriptors. IEEE Journal of Biomedical and Health Informatics, 24(2), 577–585. https://doi.org/10.1109/jbhi.2019.2910883
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Example health information management projects
How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on health information management?
Data Management System Enhancement
An academic researcher in Health Information Management can collaborate with a company to enhance their data management system. By analyzing existing systems, identifying gaps, and implementing best practices, the researcher can help the company streamline data collection, storage, and analysis processes, leading to improved efficiency and accuracy.
Healthcare Outcome Improvement
Collaborating with an academic researcher in Health Information Management can help a company improve healthcare outcomes. The researcher can analyze healthcare data, identify patterns and trends, and provide insights on how to optimize treatment plans, reduce readmission rates, and enhance patient satisfaction.
Decision-Making Support
Companies can benefit from the expertise of academic researchers in Health Information Management to support decision-making processes. These researchers can analyze data, conduct market research, and provide evidence-based recommendations to help companies make informed decisions regarding product development, marketing strategies, and resource allocation.
Innovative Solution Development
Academic researchers in Health Information Management can collaborate with companies to develop innovative solutions. By leveraging their knowledge of emerging technologies, data analytics, and healthcare systems, these researchers can help companies create new products, services, or processes that address industry challenges and meet customer needs.
Research and Development Contribution
Collaborating with academic researchers in Health Information Management allows companies to contribute to research and development efforts. By partnering with these experts, companies can support studies, trials, and experiments that advance the field and lead to new discoveries, technologies, and treatments.