Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Surveys

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.

Reliability and Validity

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.

Regression Toward the Mean

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

Confirmation Biases

Confirmation Biases

The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?

Decision Making: Traditional Method

Decision Making: Traditional Method

The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...

Distribution Reliability and Automation

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Healthcare practitioner involvement in data-driven clinical decision support development and evaluation: Critical narrative review of recommendations.

International journal of medical informatics·2026

Same author

Balancing ideals and realities: health care professionals' perspectives of and attitudes toward digital patient-centered cancer care.

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation·2026

Same author

Adult survivors of sickle cell disease, transfusion-dependent beta-thalassaemia and childhood acute leukaemia in England: protocol for a mixed methods data linkage and health-related quality of life survey study.

BMJ open·2026

Same author

"…it is not the sickness itself that kills. It is the emotional trauma": a qualitative study of the lived experience and systemic barriers of women with breast cancer in Nigeria.

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer·2026

Same author

Bridging the gap in the UK's National Health Service integrated care systems: insights from a mixed methods implementation evaluation of UCLP-PRIMROSE, a care innovation to reduce physical health inequalities for people with severe mental illness.

BMJ open·2026

Same author

Child and Parent Outcomes in the 2018-2019 DEPICT (Differences in Access to Emergency Pediatric Intensive Care and Care During Transport) Study: 12-Month Follow-Up Data.

Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies·2025

Search research articles

Related Experiment Video

Updated: May 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Clinical Trust in Data-Driven Decision Support Tools: Qualitative Interview Study.

Ruth Evans¹, Louise Bryant¹, Gregor Russell^1,2

¹University of Leeds, UK.

Studies in Health Technology and Informatics

|May 17, 2025

Summary

This summary is machine-generated.

Healthcare practitioners find data-driven clinical decision support (CDSS) tools useful for patient decision-making. However, they prioritize clinical judgment and have limited understanding of CDSS development, impacting trust.

Keywords:

Clinical decision support artificial intelligence data-driven machine learning trust trustworthiness

Related Experiment Videos

Last Updated: May 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

Area of Science:

Health Informatics
Clinical Decision Support Systems
Healthcare Practitioner Trust

Background:

Data-driven clinical decision support systems (CDSS) are becoming more prevalent in healthcare.
There is a lack of understanding regarding healthcare practitioners' (HCPs) trust in these advanced tools.
HCPs' perspectives on CDSS utility and trustworthiness are crucial for effective implementation.

Purpose of the Study:

To explore primary care and oncology practitioners' trust in data-driven clinical decision support (CDSS).
To understand HCPs' perceptions of CDSS development processes and their trustworthiness.
To identify factors influencing HCPs' adoption and reliance on CDSS.

Main Methods:

Qualitative interviews were conducted with primary care and oncology practitioners.
Interviews focused on the use of data-driven CDSS, understanding of development, and trustworthiness.
Analysis of practitioner insights into CDSS functionality and reliability.

Main Results:

Practitioners find data-driven CDSS valuable for shared decision-making with patients.
HCPs emphasize the importance of their clinical judgment when interpreting CDSS recommendations.
Understanding of CDSS development and evaluation processes among practitioners is limited.

Conclusions:

While CDSS tools are perceived as useful, their trustworthiness is influenced by practitioners' reliance on clinical expertise.
Limited understanding of development processes may affect trust in CDSS.
Future research should investigate the impact of clinical involvement in CDSS development on trustworthiness.