What is he best known for?
The fields of study he is best known for:
- Health care
- Law
- Management
His primary scientific interests are in Health care, Information technology, Family medicine, Knowledge management and Public health.
His Health care study integrates concerns from other disciplines, such as Quality, Marketing, Nursing and Actuarial science.
His research in Family medicine intersects with topics in Ambulatory and Logistic regression.
As a part of the same scientific study, he usually deals with the Logistic regression, concentrating on Odds ratio and frequently concerns with MEDLINE.
His Knowledge management study combines topics in areas such as Health informatics and Stakeholder.
His Public health research includes themes of Young adult, Demography, Prevalence and Confidence interval.
His most cited work include:
- Myths, Presumptions, and Facts about Obesity (347 citations)
- Benefits and drawbacks of electronic health record systems (345 citations)
- Predicting the Adoption of Electronic Health Records by Physicians: When Will Health Care be Paperless? (224 citations)
What are the main themes of his work throughout his whole career to date?
His scientific interests lie mostly in Health care, Family medicine, Public health, Health information technology and Nursing.
His Health care research is multidisciplinary, incorporating elements of Actuarial science and Knowledge management.
His work in Family medicine covers topics such as Information technology which are related to areas like Marketing.
His research links Environmental health with Public health.
His studies deal with areas such as Health information exchange, HRHIS and Public relations as well as Health information technology.
His Nursing research incorporates themes from Quality and Patient safety.
He most often published in these fields:
- Health care (30.15%)
- Family medicine (25.95%)
- Public health (16.41%)
What were the highlights of his more recent work (between 2017-2021)?
- Health care (30.15%)
- Public health (16.41%)
- Social determinants of health (6.87%)
In recent papers he was focusing on the following fields of study:
Nir Menachemi mainly investigates Health care, Public health, Social determinants of health, Demography and Medicaid.
His work carried out in the field of Health care brings together such families of science as Nursing, Vertical integration, MEDLINE and Deductible.
The MEDLINE study combines topics in areas such as Health informatics, Health information exchange, Health information technology and Patient safety.
His Public health research is multidisciplinary, relying on both Racial ethnic, Graduation, General partnership and Public relations.
Nir Menachemi has included themes like Psychological intervention, Social work, Social Welfare and Gerontology in his Social determinants of health study.
His Medicaid research is multidisciplinary, incorporating perspectives in Mental health, Actuarial science, Health administration and Confidence interval.
Between 2017 and 2021, his most popular works were:
- Population Point Prevalence of SARS-CoV-2 Infection Based on a Statewide Random Sample — Indiana, April 25–29, 2020 (79 citations)
- The Effects Of Medicaid Expansion Under The ACA: A Systematic Review (74 citations)
- The benefits of health information exchange: an updated systematic review. (39 citations)
In his most recent research, the most cited papers focused on:
- Health care
- Law
- Management
Nir Menachemi mainly focuses on Public health, Demography, Health care, Social determinants of health and MEDLINE.
His Public health study integrates concerns from other disciplines, such as Demographic economics, State, Epidemiology and Public relations.
Nir Menachemi interconnects Resource dependence theory and Vertical integration in the investigation of issues within Health care.
His MEDLINE study combines topics in areas such as Health informatics, Health information exchange, Health information technology and Patient safety.
His Psychological intervention research focuses on Primary care and how it relates to Nursing.
Many of his studies involve connections with topics such as Family medicine and Systematic review.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
