Welcome to the Advances in Health Care Sciences Conference 2020

Conference is hosted by the Department of Nursing Science, University of Turku. Conference theme for the year 2020 is Personalised Health Care.

Due to COVID-19 pandemic conference will be organised as an online conference via Zoom.

Conference dates: 11-12 November 2020

You can email us at healthconf2020@utu.fi.

Save the dates

Call for Abstract deadline 16 August 2020
Abstract Acceptance Letter 14 September 2020
Registration deadline 31 October 2020
Electronic poster submission deadline 2 November 2020

Abstract submission

Doctoral candidates in health care sciences are invited to submit abstracts for poster presentation with 10 minutes oral presentation for the Advances in Health Care Sciences Conference. Abstracts will be evaluated and you will be notified about your abstract acceptance.

Abstract submission guidelines

PhD candidates are free to submit their abstract according to their self-chosen topic based on their doctoral research. The general instructions are as follows:

  • Abstract must be written in English.
  • Abstracts should be formatted as follows: Title (maximum 125 characters without spaces), Authors (academic degree, university, country), Body text (max 1800 characters without spaces), no references needed.
  • The structure of the Body text should be as follows: Aim, Method, Results, Conclusion.
  • Abstract should be free from jargon, abbreviations and ’shorthand’.

All abstracts should be submitted online via Webropol form. Please, follow the detailed instructions given in the submission system when submitting your abstract. You will receive a short automatic reply confirming receipt of your abstract. Please, contact healthconf2020@utu.fi if you do not receive this confirmation.

Deadline for submitting abstracts is 16 August 2020.

Poster and presentation guidelines

Poster presentations include 10 minutes oral presentations followed by 5 minutes discussion.

Electronical poster instructions will be published later on.


Online conference is free of charge. Registration form will be available later.

Preliminary programme


09:00-10:00 Registration & coffee
10:00-10:20 Welcome to the Conference
10:30-11:30 Poster session 1
11:30-11:45 Break
11:45-12:45 Poster session 2
12:45-14:00 Lunch
14:00-14:45 Keynote: Title to be confirmed
Merja Perälä, PhD, Project Manager, Auria Biobank
14:45-15:15 Coffee break
15:15-16:15 Poster session 3
16:20-17:00 Keynote: Artificial Intelligence
Laura-Maria Peltonen PhD, Clinical Lecturer, Department of Nursing Science, University of Turku
18:30 Conference Dinner


08:00-09:00 Poster mounting
09:00-10:20 Poster session 4
10:20-10:50 Coffee break
10:50-12:30 Poster session 5
12:30-13:30 Lunch
13:30-14:30 Keynote: Spatial Analysis in Personalised Health Care
Amanda Lee, PhD, Associate Dean, Faculty of Health Sciences, University of Hull, UK
14:30-14:45 Awards for the best poster
14:45-15:00 Next year

Data protection statement

1. Name of the register

Advances in Health Care Sciences Conference 2020 – abstract submission

2. The identity and contact information of the data controller

University of Turku
Address: University of Turku, FI-20014
Email: kirjaamo@utu.fi
Telephone: +358 29 450 5000 (operator)

3. Contact information of the Data Protection Office

Email: DPO@utu.fi Further information: www.utu.fi/dpo

4. Contact information for matters regarding the use of the register

University of Turku
Department of Nursing Science
Heli Virtanen, email: hetuvi@utu.fi

5. Purpose and legal basis for the processing of personal data

The purpose of this register is to store the contact information of persons who have sent an abstract via Webropol to Advances in Health Care Sciences Conference 2020 and data related the presenter.

The data collected from the abstract submission will be utilised in implementing the agreement that has formed through submission, especially in communication related to the event and directing individual services to the registered persons. The legal basis for the processing of personal data is set by an agreement that is formed between the data controller and the data subject through the submission.

6. Personal data in the privacy notice

Personal data is collected from persons who submit abstracts and the possible presenters of the abstracts. The data that is being collected is name, email, title and organisation.

7. Recipients and recipient groups of personal data

Registered data can be disclosed to stakeholder groups of the event (for example the organisers or instructors of the programme related to the event).

8. Information on transferring data to third countries

Personal data related to the abstract submissions will not be disclosed to parties outside the EU or the European economic region.

9. Retention period of personal data

Personal data and other registration data related to the abstract submission is stored in the register for 1 year after the end of the conference.

10. Rights of the data subject

The data subject has the right to access their personal data retained by the Data Controller, the right to rectification or erasure of data, and the right to restrict or object the processing of data, and the right to transfer the data from one controller to another. The data subject has the right to make a complaint with the supervisory authority. The contact person in matters regarding the rights and obligations of the data subject is the Data Protection Officer, whose contact information is listed at the beginning of the privacy notice.

11. Is there an obligation to provide personal data that is based on legislation or an agreement, or required in order to form an agreement, and does the data subject have to provide personal information, and are there any consequences for not providing said data

If the data subject does not provide required data regarding the abstract submission, the data controller cannot accept the registration of the data subject or commit to the agreement between the data controller and the data subject regarding the abstract submission.

12. Information on the source of personal data

Registered data is acquired from the data subject through their abstract submission.

13. Information on the existence of automatic decision-making, including profiling

Registered data will not be used for automatic decision-making or profiling.

14. Principles of protection of the register

The register data is stored according to the best practices, good information security and legislative regulations so that it is protected from external parties. The register is protected with user identification and passwords as well as structural and group-specific authorisation. The personal data registers can be accessed only by members of personnel who require the use of personal data for performing their work tasks.