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An Integrated Blueprint for Digital Mental Health Services Amidst COVID-19

An Integrated Blueprint for Digital Mental Health Services Amidst COVID-19

There is a range of ground-breaking developments happening, with automation taking hold rapidly and consensus to broaden horizons beyond telehealth to deliver digital assets [5,13,14].

Luke Balcombe, Diego De Leo

JMIR Ment Health 2020;7(7):e21718

Detecting Potential Medication Selection Errors During Outpatient Pharmacy Processing of Electronic Prescriptions With the RxNorm Application Programming Interface: Retrospective Observational Cohort Study

Detecting Potential Medication Selection Errors During Outpatient Pharmacy Processing of Electronic Prescriptions With the RxNorm Application Programming Interface: Retrospective Observational Cohort Study

This type of automation can help reduce the risk of dispensing the incorrect medication to the patient while sparing the pharmacist’s worktime for higher value patient care tasks.

Corey A Lester, Liyun Tu, Yuting Ding, Allen J Flynn

JMIR Med Inform 2020;8(3):e16073

Development and Evaluation of a Smart Contract–Enabled Blockchain System for Home Care Service Innovation: Mixed Methods Study

Development and Evaluation of a Smart Contract–Enabled Blockchain System for Home Care Service Innovation: Mixed Methods Study

Smart contracts can be automatically executed by programmable codes without manual operation, which, in the long term, can avert human errors and allow workflow automation to achieve higher levels of efficiency [17].

Shuchih Ernest Chang, YiChian Chen, MingFang Lu, Hueimin Louis Luo

JMIR Med Inform 2020;8(7):e15472

Iterative User Interface Design for Automated Sequential Organ Failure Assessment Score Calculator in Sepsis Detection

Iterative User Interface Design for Automated Sequential Organ Failure Assessment Score Calculator in Sepsis Detection

As in other industries, medicine has sought to overcome task-related inefficiencies through automation [9].Automation of computer interaction in clinical medicine can take many forms.

Christopher Ansel Aakre, Jaben E Kitson, Man Li, Vitaly Herasevich

JMIR Hum Factors 2017;4(2):e14

The Future of Health Care: Protocol for Measuring the Potential of Task Automation Grounded in the National Health Service Primary Care System

The Future of Health Care: Protocol for Measuring the Potential of Task Automation Grounded in the National Health Service Primary Care System

Looking ahead, continued progress in state-of-the-art automation technologies will cause further disruption to workers in knowledge- and information-based occupations, who were previously thought to be less susceptible to automation.

Matthew Willis, Paul Duckworth, Angela Coulter, Eric T Meyer, Michael Osborne

JMIR Res Protoc 2019;8(4):e11232

Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire

Threats of Bots and Other Bad Actors to Data Quality Following Research Participant Recruitment Through Social Media: Cross-Sectional Questionnaire

Prior to manually distributing participant remuneration, we planned to review completed surveys for evidence of inattention, duplicate or unusual responses to open-ended items, inconsistent responses to verifiable items, and evidence of automation.

Rachel Pozzar, Marilyn J Hammer, Meghan Underhill-Blazey, Alexi A Wright, James A Tulsky, Fangxin Hong, Daniel A Gundersen, Donna L Berry

J Med Internet Res 2020;22(10):e23021

“When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets

“When ‘Bad’ is ‘Good’”: Identifying Personal Communication and Sentiment in Drug-Related Tweets

Automation of content analysis tasks would provide powerful tools to examine temporal and geographic trends not just in terms of general tweeting activity [14-17], but also in terms of the types of communications and opinions expressed in such tweets (eg, how

Raminta Daniulaityte, Lu Chen, Francois R Lamy, Robert G Carlson, Krishnaprasad Thirunarayan, Amit Sheth

JMIR Public Health Surveill 2016;2(2):e162