Soft-skills for Implementing Digital Intelligence in Healthcare Institution

Recommended Prerequisites

Not applicable.

Teaching Methods

Teaching methodologies include exposition classes, mainly using the interrogative and expository methods, seeking the participation of students in discussions on the topics covered. The active model will also be used, in which students will develop tasks individually in a guided and autonomous way, including guided readings, exploration and analysis of available tools and platforms, case resolution, among others. In the seminars the students will present and discuss the work developed.

The evaluation will be carried out through the elaboration, presentation and discussion of works. Critical evaluation of colleagues' work will also be valued.

Learning Outcomes

Identify the applications of digital technologies to health.

Understand and discuss the ethical and privacy problems of health data management and sharing.

Recognize the advantages and limitations of the use of digital intelligence in leadership, team management, time management and role assignment in the context of health institutions.

Identify good practices in the teamwork and in the institutions for the digital transformation in health.

Recognize the use and potential of artificial intelligence in dentistry.

Acquire skills in the identification and resolution of problems and conflicts.

Know the tools and platforms for collaborative learning.

Work Placement(s)

No

Syllabus

Leadership for implementing digital intelligence.

Teamwork and work ethics for digital healthcare transformation.

Organizational transformation of hospitals and clinics.

Digital tools for health care.

Digital intelligence in dental care.

Data sharing.

Ethics and privacy.

Communication using digital intelligence tools.

Problem-solving.

Tools for learning.

Collaboration platforms.

Head Lecturer(s)

Mafalda Sofia Laranjo Cândido

Assessment Methods

Assessment
The evaluation will be carried out through the elaboration, presentation and discussion of works. Critical evaluation of colleagues' work will also be valued: 100.0%

Bibliography

Garg S, et al. Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care. JCO Clin Cancer Inform. 2018;2:1

Evans RS. Electronic Health Records: Then, Now, and in the Future. Yearb Med Inform. 2016;Suppl 1:S48

Romansky RP, Noninska IS. Challenges of the digital age for privacy and personal data protection. Math Biosci Eng. 2020;17(5):5288

Larson L, DeChurch L. Leading Teams in the Digital Age. Leadersh Q. 2020;31(1):101377

Schwendicke F, et al. Artificial Intelligence in Dentistry: Chances and Challenges. J Dent Res. 2020;99(7):769

Kostkova P. Disease surveillance data sharing for public health: the next ethical frontiers. Life Sci Soc Policy. 2018;14(1):16.

Ascoli GA. Sharing Neuron Data: Carrots, Sticks, and Digital Records. PLoS Biol. 2015;13(10):e1002275.

Reeves S, et al. Interprofessional collaboration to improve professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2017;6(6):CD000072.