BAL3000 Digital Transformation, Organizational Change and Change Management Course description

Norge er et av verdens mest digitaliserte land. Dette innebærer en rekke muligheter for offentlig sektor - mer effektiv tjenesteyting, innovasjon og næringsutvikling - men også bedre kontakt med borgere og brukere. Samtidig byr digitalisering på utfordringer. Når det gjelder offentlig sektor spesielt, handler utfordringene blant annet om kompetanseheving, personvern og informasjonssikkerhet, og særlig samordning, styring og ledelse - både på tvers av sektorer og forvaltningsnivå. Studentene får i dette emnet kunnskap om digitaliseringen i offentlig sektor, herunder kunstig intelligens, algoritmer og automatisering, men det settes også søkelys på en bred forståelse av organisasjonsendring og endringsledelse. Dette for å understreke at digital transformasjon er mer enn bare digitalisering. Mens digitalisering handler om å gjøre informasjon om til data, innebærer digital transformasjon omfattende organisatoriske endringer og nye former å lede ansatte på. Det har dessuten implikasjoner på samfunnsnivå relatert til demokrati og styringsformer på makronivå. Videre får studentene innføring i hvordan planlegge, utvikle og iverksette strategier for organisasjonsutvikling og endringsarbeid. De vil også få en oversikt over digitale verktøy for brukermedvirkning og innbyggerpåvirkning, samt kunnskap om personvern og informasjonssikkerhet. Digital transformasjon er slik sett et godt eksempel på det omfattende arbeidet med innovasjon som pågår i offentlig sektor. Emnet bruker den internasjonale, flerfaglige litteraturen innen digital transformasjon, organisasjonsendring og endringsledelse, og studerer eksempler fra privat, frivillig og offentlig sektor sett i lys av denne litteraturen.

Undervisningsspråk er norsk.

• Completed course SYKK/SYKP1400 Diseases and Health Deficits, 10 credits
• Passed course SYKK/SYKP1300 Pharmacology and Drug Administration, 5 credits

Students will be able to:

• give a general description of methods relevant to the collection and interpretation of data in research in behavior analysis and learning in complex systems
• discuss specific methods of data collection and their appropriateness for answering different kinds of research questions
• describe and discuss various statistical methods appropriate to the collection and interpretation of data in research in learning in complex systems
• describe and discuss criteria for validity and reliability, and of methods of assessing them
• describe and discuss criteria for ESTs
• describe and discuss the rationale for single-case research designs
• describe and discuss the interpretation and application of descriptive and inferential statistical techniques required for an understanding of data presentations in psychological research
• describe, discuss and apply the necessary operations for extracting measures of central tendency, variability and frequency distributions from a data set
• produce graphical presentations of data
• describe and discuss the normal curve
• describe and discuss basics of probability theory, and show how it applies to their own research and that of others
• describe and apply general principles for hypothesis formulation and testing
• describe and discuss the application of the t-test; analysis of variance (ANOVA); multivariate analysis of variance (MANOVA); multiple regression; and correlation
• apply the relevant statistical tools and concepts to their own research

After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

Knowledge

The student

• is capable of describing the patients’ subjective experiences of disease and suffering and the importance of hope amidst serious illness
• is capable of explaining the most common reactions to crises in the event of illness and loss
• is capable of describing patient-centred nursing of children and adults
• is capable of describing pre and postoperative nursing of children and adults
• is capable of describing the phenomena pain, treatment of pain and pain relief
• is capable of describing measures to preserve life and health in the event of major accidents and in crisis and disaster situations

Skills

The student

• is capable of performing nursing work through systematic mapping and assessing the patient's resources, problems and needs as well as implementing measures, and evaluating and documenting the effect using the nursing process  
• is capable of applying mapping tools such as ABCDE (airway, breathing, circulation, disability, expose) and NEWS (National Early Warning Score) and the communication tool ISBAR (Identify, Situation, Background, Assessment, Recommendation)
• is familiar with the classification system (ICNP® - International Classification for Nursing Practice)
• is capable of carrying out and assessing relevant nursing procedures
• is capable of applying relevant medical technology in the practical performance of nursing
• is capable of recognising stress and crisis situations in the event of loss and disease and adapting communication based on this
• is capable of communicating with children, adolescents and parents/guardians adapted to the level of development/cognitive function and the condition
• is capable of masters general first aid according to the ABC principle
• is capable of implementing measures in the event of sub-acute and acute incidents
• is capable of identifying ethical dilemmas in practice and reflect on different choices of action

Competence

The student is capable of

• integrating knowledge from pathophysiology and pharmacology in the performance of nursing
• reflecting on responsible drug administration at an individual and systematic level
• demonstrating responsibility, engagement, independence and can follow professional ethical guidelines when encountering patients, next-of-kin and colleagues
• reflecting on his/her own professional practice and progression
• reflecting on how culture and a cultural understanding can be significant in assessments, planning, performance and evaluation of nursing

• All papers approved,
• attendance in at least 80 % of the seminars, and
• approved paper presentation in final seminar.

Portfolio.

Portfolio requirements: 4 reaction papers

All

Pass / Fail

Internal

Scientific method; statistical concepts and tools - theory and application; functional analysis; internal and external validity; single-case experimental designs; Empirically Supported Treatments