Home
How It Works
Solutions
For Academic Experts
Resources
Events
Blog
Case Studies
Request Demo
Sign Up
Login

Work with thought leaders and academic experts in health informatics

Companies can benefit from working with Health Informatics experts in various ways. These experts can provide valuable insights and solutions to improve healthcare systems, optimize data management, enhance patient care, and drive innovation. They can help companies develop and implement electronic health record systems, analyze healthcare data to identify trends and patterns, and design and evaluate health information technologies. Health Informatics experts can also assist in ensuring compliance with healthcare regulations and standards, improving interoperability between different healthcare systems, and enhancing cybersecurity measures. Collaborating with these experts can lead to improved efficiency, cost savings, better decision-making, and ultimately, better patient outcomes.

Experts on NotedSource with backgrounds in health informatics include Christos Makridis, Daniel Milej, Ph.D., Jeffrey Townsend, Jim Samuel, Emmanouil Mentzakis, Ryan Howell, Edoardo Airoldi, Abiodun Adewuya, Kevin Parker, Beth Bell, Asst. Prof. Eng. Davide Verzotto, Ph.D., Anil Kemisetti, and Mohsen Omrani.

Christos Makridis

Nashville, TN
Web3 and Labor Economist in Academia, Entrepreneurship, and Policy
Most Relevant Research Interests
Health Informatics
Other Research Interests (29)
Web3
Crypto
Blockchain
Fine art
Opera
And 24 more
About
Christos A. Makridis holds academic appointments at Columbia Business School, Stanford University, Baylor University, University of Nicosia, and Arizona State University. He is also an adjunct scholar at the Manhattan Institute, senior adviser at Gallup, and senior adviser at the National AI Institute in the Department of Veterans Affairs. Christos is the CEO/co-founder of [Dainamic](https://www.dainamic.ai/), a technology startup working to democratize the use and application of data science and AI techniques for small and mid sized organizations, and CTO/co-founder of [Living Opera](https://www.livingopera.org/), a web3 startup working to bridge classical music and blockchain technologies. Christos previously served on the White House Council of Economic Advisers managing the cybersecurity, technology, and space activities, as a Non-resident Fellow at the Cyber Security Project in the Harvard Kennedy School of Government, as a Digital Fellow at the Initiative at the Digital Economy in the MIT Sloan School of Management, a a Non-resident Research Scientist at Datacamp, and as a Visiting Fellow at the Foundation for Defense of Democracies. Christos’ primary academic research focuses on labor economics, the digital economy, and personal finance and well-being. He has published over 70 peer-reviewed research papers in academic journals and over 170 news articles in the press. Christos earned a Bachelor’s in Economics and Minor in Mathematics at Arizona State University, as well a dual Masters and PhDs in Economics and Management Science & Engineering at Stanford University.
Most Relevant Publications (3+)

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

Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans

Computers in Biology and Medicine / Jun 01, 2021

Makridis, C. A., Zhao, D. Y., Bejan, C. A., & Alterovitz, G. (2021). Leveraging machine learning to characterize the role of socio-economic determinants on physical health and well-being among veterans. Computers in Biology and Medicine, 133, 104354. https://doi.org/10.1016/j.compbiomed.2021.104354

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

Daniel Milej, Ph.D.

London, Ontario, Canada
Ph.D. in biomedical engineering
Most Relevant Research Interests
Health Informatics
Other Research Interests (37)
Biomedical Optics
NIRS
fNIRS
Diffuse Correlation Spectroscopy
CBF
And 32 more
About
Dr. Daniel Milej is a multidisciplinary researcher with experience in medical biophysics, electronics, biocybernetics, biomedical optics and engineering. He is highly knowledgeable and experienced in a range of research techniques. He is currently a Research Associate at the Lawson Health Research Institute, leading the transition of multimodal optical imaging systems from a research setting to clinical use in an ICU and OR environment, working closely with teams of nurses, surgeons, doctors and respiratory therapists. Previously he was a postdoctoral fellow working on developing noninvasive modalities for brain activity monitoring in the Department of Medical Biophysics at Western University. Before that, Dr. Milej worked as a researcher at the Nalecz Institute of Biocybernetics and Biomedical Engineering. He obtained his Ph.D. in 2014 from the Polish Academy of Science, specializing in Electronics and Biomedical Engineering. He received his MSc from the Military University of Technology in 2008.
Most Relevant Publications (1+)

91 total publications

Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method

Computer Methods and Programs in Biomedicine / Jan 01, 2020

Żołek, N., Rix, H., & Botwicz, M. (2020). Analysis of estimation of optical properties of sub superficial structures in multi layered tissue model using distribution function method. Computer Methods and Programs in Biomedicine, 183, 105084. https://doi.org/10.1016/j.cmpb.2019.105084

Jeffrey Townsend

New Haven, CT
Professor of Biostatistics and Ecology & Evolutionary Biology
Most Relevant Research Interests
Health Informatics
Other Research Interests (71)
Statistics
cancer genetics
disease modeling
antibiotic resistance
Evolutionary Genomics
And 66 more
About
Jeffrey Townsend is a Professor of Organismic and Evolutionary Biology at Yale University. He received his Ph.D. from Harvard University in 2002 and his Sc.B. from Brown University in 1994. He has been a teacher at St. Ann's School and an Assistant Professor at the University of Connecticut. He is currently the Elihu Professor of Biostatistics at Yale University.
Most Relevant Publications (2+)

207 total publications

Jot: guiding journal selection with suitability metrics

Journal of the Medical Library Association / Dec 08, 2022

Gaffney, S. G., & Townsend, J. P. (2022). Jot: guiding journal selection with suitability metrics. Journal of the Medical Library Association, 110(3), 376–380. https://doi.org/10.5195/jmla.2022.1499

HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0

Journal of Biomedical Informatics / Oct 01, 2008

Cheung, K.-H., Yip, K. Y., Townsend, J. P., & Scotch, M. (2008). HCLS 2.0/3.0: Health care and life sciences data mashup using Web 2.0/3.0. Journal of Biomedical Informatics, 41(5), 694–705. https://doi.org/10.1016/j.jbi.2008.04.001

Jim Samuel

Associate Professor at Rutgers University
Most Relevant Research Interests
Health Informatics
Other Research Interests (31)
Analytics
Information Science
Big data
Finance
Applied Artificial Intelligence
And 26 more
About
Jim Samuel is an Associate Professor of Practice and Executive Director of the Informatics Program at the Bloustein School. He is an information and artificial intelligence (AI) scientist, with significant industry experience in finance, technology, entrepreneurship and data analytics. Dr. Samuel’s primary research covers human intelligence and artificial intelligences interaction and information philosophy.  Dr. Samuel’s applied research focuses on the optimal use of big data and smart data driven AI applications, textual analytics, natural language processing and artificially intelligent public opinion informatics. His expertise extends to socioeconomic implications of AI, applied machine learning, social media analytics, AI education and AI bias. Dr. Samuel completed his Ph.D. from the Zicklin School of Business, Baruch College – City University of New York, and he also has M.Arch and M.B.A (International Finance) degrees.  Dr. Samuel has worked with large multinational financial services corporations, and advises businesses and organizations on data analytics and AI driven value creation strategies. He is passionate about research driven thought leadership in AI, information philosophy, analytics and informatics. 
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

Emmanouil Mentzakis

London
Health Economist, Professor at City University of London
Most Relevant Research Interests
Health Informatics
Other Research Interests (33)
General Medicine
Pulmonary and Respiratory Medicine
Pediatrics, Perinatology and Child Health
Economics and Econometrics
Finance
And 28 more
About
Senior academic and policy advisor. Public and private sector consultant with remit ranging from health ministries and public organizations to insurance and pharmaceutical companies. Cross-institutional leader in research and admin roles focusing on excellence, efficiency, innovation, and community. Strategic and proactive thinker with clear vision and plan, approaching challenges with creativity and adaptability. Highly motivational manager with strong communication skills and impeccable project management track-record.   Expert scholar and educator in health economics, discrete choice experiments, research study design and observational epidemiology. Long experience setting-up and coordinating multi-disciplinary teams into delivering high quality research.
Most Relevant Publications (2+)

46 total publications

A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example

BMC Medical Informatics and Decision Making / May 24, 2020

Mentzakis, E., Tkacz, D., & Rivas, C. (2020). A proof-of-concept framework for the preference elicitation and evaluation of health informatics technologies: the online PRESENT patient experience dashboard as a case example. BMC Medical Informatics and Decision Making, 20(1). https://doi.org/10.1186/s12911-020-1098-z

Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach

Journal of Medical Internet Research / May 03, 2019

Wang, T., Mentzakis, E., Brede, M., & Ianni, A. (2019). Estimating Determinants of Attrition in Eating Disorder Communities on Twitter: An Instrumental Variables Approach. Journal of Medical Internet Research, 21(5), e10942. https://doi.org/10.2196/10942

Ryan Howell

San Francisco , California, United States of America
Professor of Psychology, Department of Psychology, San Francisco State University
Most Relevant Research Interests
Health Informatics
Other Research Interests (42)
Happiness
Psychiatry and Mental health
Clinical Psychology
History and Philosophy of Science
General Psychology
And 37 more
About
Dr. Ryan Howell is an Associate Professor at San Francisco State University. His research interests include the psychology of goals and how people pursue and achieve them. Dr. Howell received his PhD in Social/Personality Psychology from the University of California, Riverside in 2005.
Most Relevant Publications (1+)

66 total publications

Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials

Journal of Medical Internet Research / Jun 08, 2019

Sanders, C. A., Schueller, S. M., Parks, A. C., & Howell, R. T. (2019). Understanding Long-Term Trajectories in Web-Based Happiness Interventions: Secondary Analysis From Two Web-Based Randomized Trials. Journal of Medical Internet Research, 21(6), e13253. https://doi.org/10.2196/13253

Edoardo Airoldi

Professor of Statistics & Data Science Temple University & PI, Harvard University
Most Relevant Research Interests
Health Informatics
Other Research Interests (57)
Statistics
Causal Inference
Network Science
Statistical Machine Learning
Computational Biology
And 52 more
About
Edoardo Airoldi is a Professor in the Department of Machine Learning at Temple University. He is also the Director of the Center for Machine Learning and Health. He is a world-renowned expert in the fields of machine learning and artificial intelligence, with a focus on applications to health. Airoldi is a member of the prestigious Association for the Advancement of Artificial Intelligence (AAAI) and the International Machine Learning Society (IMLS). He has published over 200 papers in leading journals and conferences, and his work has been covered by various media outlets including The New York Times, The Wall Street Journal, The Economist, and Wired.
Most Relevant Publications (1+)

106 total publications

Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study

Journal of Medical Internet Research / Oct 30, 2020

Janmohamed, K., Soale, A.-N., Forastiere, L., Tang, W., Sha, Y., Demant, J., Airoldi, E., & Kumar, N. (2020). Intersection of the Web-Based Vaping Narrative With COVID-19: Topic Modeling Study. Journal of Medical Internet Research, 22(10), e21743. https://doi.org/10.2196/21743

Abiodun Adewuya

Professor of Public Mental Health at Lagos State University College of Medicine
Most Relevant Research Interests
Health Informatics
Other Research Interests (39)
Mental Health
Psychiatry and Mental health
Clinical Psychology
Social Psychology
Health (social science)
And 34 more
About
Prof. Adewuya is a professor of public mental health at Lagos State University College of Medicine. He is a Fellow of the Faculty of Psychiatry of both the National Postgraduate Medical College of Nigeria and the West African College of Physicians.
Most Relevant Publications (1+)

113 total publications

Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study

JMIR Public Health and Surveillance / Jan 25, 2021

Erinoso, O., Wright, K. O., Anya, S., Kuyinu, Y., Abdur-Razzaq, H., & Adewuya, A. (2021). Predictors of COVID-19 Information Sources and Their Perceived Accuracy in Nigeria: Online Cross-sectional Study. JMIR Public Health and Surveillance, 7(1), e22273. https://doi.org/10.2196/22273

Kevin Parker

Comprehensive background in Computer Science, Information Systems, and IT with a PhD in MIS and a BA and MS in Computer Science. Extensive experience as an expert witness.
Most Relevant Research Interests
Health Informatics
Other Research Interests (10)
Computer Science
Information Technology
Information Systems
Library and Information Sciences
Education
And 5 more
About
Computer Science, Information Systems, Information Technology

Beth Bell

Associate Professor (Youth Mental Health and Wellbeing) at the University of York (UK).
Most Relevant Research Interests
Health Informatics
Other Research Interests (19)
Psychology
HCI
Education
Developmental and Educational Psychology
Social Psychology
And 14 more
About
My aim is to understand and improve youth mental health in the digital age. Currently, I am employed as a Senior Lecturer /Associate Professor at the University of York (UK), where I lead on Impact and Knowledge Exchange Lead strategy for the Department of Education. As an experienced research leader, I have strong expertise conducting qualitative and quantitative sensitive topic research with young people, including co-production. My research focuses on sociocultural influences on youth mental health, covering pressing issues such as body image, online help-seeking, and harassment. I regularly contribute my expertise to media (e.g., The Truth About... BBC) and provide consultation to industry/policy makers.
Most Relevant Publications (1+)

26 total publications

Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People

JMIR mHealth and uHealth / Jun 18, 2019

Honary, M., Bell, B. T., Clinch, S., Wild, S. E., & McNaney, R. (2019). Understanding the Role of Healthy Eating and Fitness Mobile Apps in the Formation of Maladaptive Eating and Exercise Behaviors in Young People. JMIR MHealth and UHealth, 7(6), e14239. https://doi.org/10.2196/14239

Asst. Prof. Eng. Davide Verzotto, Ph.D.

Assistant Professor of Computer Science, Centre for Higher Defence Studies (CASD) - School of Advanced Studies, Italian Defence General Staff, Rome
Most Relevant Research Interests
Health Informatics
Other Research Interests (20)
Algorithms & Data Structures
Bioinformatics & Computational Biology
Machine Learning
Scalable
Multidisciplinary
And 15 more
About
Algorithms & Information Intelligence, Pattern Discovery Bioinformatics & Computational Biology/Genomics Scalable Data Mining & Machine Learning
Most Relevant Publications (2+)

40 total publications

OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis

GigaScience / Jan 19, 2016

Verzotto, D., M. Teo, A. S., Hillmer, A. M., & Nagarajan, N. (2016). OPTIMA: sensitive and accurate whole-genome alignment of error-prone genomic maps by combinatorial indexing and technology-agnostic statistical analysis. GigaScience, 5(1). https://doi.org/10.1186/s13742-016-0110-0

Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line

GigaScience / Dec 01, 2015

Teo, A. S. M., Verzotto, D., Yao, F., Nagarajan, N., & Hillmer, A. M. (2015). Single-molecule optical genome mapping of a human HapMap and a colorectal cancer cell line. GigaScience, 4(1). https://doi.org/10.1186/s13742-015-0106-1

Anil Kemisetti

I am passionate about clinical data and information extraction from different kinds of clinical data with the goal of being useful to researchers, industry, and hospitals.
Most Relevant Research Interests
Health Informatics
Other Research Interests (2)
Clinical NLP
Biomedical Imagining
About
Languages: Java, Python, Scala, C++, MATLAB, EPIC(MRI)Structured Data: SQL, No-SQL, XML, JSON, YAMLBig Data (Map Reduce Based): Hadoop, Spark, Amazon EMR, KafkaDatabases: Any Relational DB, MongoDB (NoSQL), Neo4j, ElasticsearchVisualization: Grammar of Graphics based (ggplot, Tableau), high dimensional visualization, tensorboardStatistical Analysis: Study Design, Association, Group Comparison, glm/Regression using SPSS, Stata, R, Python.Deep Learning Frameworks for Model Building, Training and Inference: Tensorflow, Keras, Amazon Sagemaker, MPI, HorovodNvidia Clara: Clara Train, Developing Custom Components, AutoML, Clara DeployNLP: nltk, cTAKES, Metamap, OpenNLP, Stanford Core NLP, Apache UIMA fitBayesian Inference: Markov Chain Monte Carlo, Variational Bayes Image Processing Tools: OpenCV, ImageJ, Scikit Image, MATLABIntegration: REST API development, Micro-services, IoT, EDI based integration, HL7 and FHIRCloud: Amazon Web Services, boto3DevOps: Docker, Kubernetes, AWS ECS, AWS Fargate, AWS EKS, Airflow, Singularity

Mohsen Omrani

CEO at OPTT Inc.
Most Relevant Research Interests
Health Informatics
Other Research Interests (19)
Electrophysiology
Motor control
sensory motor transformation
Neuromodulation
Mental Health
And 14 more
About
I am passionate about technology and its use to make life better for all others. My goal is to utilize my expertise in medicine, neurology, and technology to design tools for improving mental health. <br> The growing demand for quality mental health care isn’t going anywhere. At OPTT, I lead a team of exceptional people to build digital mental health solutions for the population. Our team is working hard to change the way mental health care is delivered. With the use of AI technology, OPTT provides health care professionals with insights for effective care pathways.
Most Relevant Publications (1+)

49 total publications

User experiences of an online therapist-guided psychotherapy platform, OPTT: A cross-sectional study

Internet Interventions / Apr 01, 2023

Stephenson, C., Moghimi, E., Gutierrez, G., Jagayat, J., Layzell, G., Patel, C., Omrani, M., & Alavi, N. (2023). User experiences of an online therapist-guided psychotherapy platform, OPTT: A cross-sectional study. Internet Interventions, 32, 100623. https://doi.org/10.1016/j.invent.2023.100623

Example health informatics projects

How can companies collaborate more effectively with researchers, experts, and thought leaders to make progress on health informatics?

Implementation of Electronic Health Record System

A Health Informatics expert can help a company implement an electronic health record (EHR) system, streamlining data management and improving patient care. They can assess the company's needs, select the appropriate EHR system, and ensure smooth integration with existing systems. The expert can also train staff on using the EHR system effectively and provide ongoing support and maintenance.

Data Analysis for Population Health Management

Health Informatics experts can analyze healthcare data to identify trends and patterns, helping companies improve population health management. They can develop algorithms and models to predict disease outbreaks, identify high-risk populations, and optimize resource allocation. The experts can also evaluate the effectiveness of interventions and provide recommendations for improving health outcomes.

Design and Evaluation of Health Information Technologies

Collaborating with a Health Informatics expert can help companies design and evaluate health information technologies. The expert can assess the company's needs, develop user-friendly interfaces, and ensure the technologies meet industry standards and regulations. They can also conduct usability testing and gather feedback to improve the technologies' functionality and effectiveness.

Interoperability Enhancement between Healthcare Systems

Health Informatics experts can assist companies in improving interoperability between different healthcare systems. They can develop standards and protocols for data exchange, facilitate seamless communication between systems, and ensure data integrity and privacy. The experts can also help companies integrate external data sources, such as wearable devices and remote monitoring systems, into their existing systems.

Cybersecurity Measures for Healthcare Data

With the increasing threat of cyberattacks, collaborating with a Health Informatics expert can help companies enhance cybersecurity measures for healthcare data. The expert can assess vulnerabilities, develop robust security protocols, and implement encryption and authentication mechanisms. They can also provide training to staff on cybersecurity best practices and conduct regular audits to ensure compliance with regulations and standards.