NI 2009 - The 10th Nursing Informatics Congress

28 June - 1 July 2009, Helsinki, Finland.
The following topics are intended to guide the authors in the directions emphasized by the 10th Congress. They are consistent with the central theme of Nursing Informatics - Connecting Health and Humans in support of nursing informatics practice, management education and research.

  • Individualized Care with Interoperable Information Systems
  • Improvement in Health Care Governance
  • Innovative Education Transforming Future Health Care
  • Increasing Nursing Knowledge through Data Warehouses

The Congress will be held at the Helsinki Fair Centre, which is frequently used for international congresses. Helsinki Fair Center is easily reached by train, tram or bus from the hotels in downtown Helsinki. The congress and exhibition premises are modern and well equipped.

Organizing committee

  • Anneli Ensio, Chair
  • Kaija Saranto
  • The Finnish Nurses Association

Congress secretariat

  • CONGREX / Blue & White Conferences Oy

Scientific program committee

  • Kaija Saranto (Finland), Chair
  • Patricia Brennan (USA)
  • Hyeoun-Ae Park (Korea)
  • Walter Sermeus (Belgium)
  • Marianne Tallberg (Finland)
  • Anneli Ensio (Finland)

For further information and registration, please visit:
http://www.ni2009.org

Most Popular Now

AI also Assesses Dutch Mammograms Better…

AI is detecting tumors more often and earlier in the Dutch breast cancer screening program. Those tumors can then be treated at an earlier stage. This has been demonstrated by...

Unlocking the 10 Year Health Plan

The government's plan for the NHS is a huge document. Jane Stephenson, chief executive of SPARK TSL, argues the key to unlocking its digital ambitions is to consider what it...

AI can Find Cancer Pathologists Miss

Men assessed as healthy after a pathologist analyses their tissue sample may still have an early form of prostate cancer. Using AI, researchers at Uppsala University have been able to...

Alcidion Grows Top Talent in the UK, wit…

Alcidion has today announced the addition of three new appointments to their UK-based team, with one internal promotion and two external recruits. Dr Paul Deffley has been announced as the...

How AI could Speed the Development of RN…

Using artificial intelligence (AI), MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training...

AI, Full Automation could Expand Artific…

Automated insulin delivery (AID) systems such as the UVA Health-developed artificial pancreas could help more type 1 diabetes patients if the devices become fully automated, according to a new review...

MIT Researchers Use Generative AI to Des…

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research...

Penn Developed AI Tools and Datasets Hel…

Doctors treating kidney disease have long depended on trial-and-error to find the best therapies for individual patients. Now, new artificial intelligence (AI) tools developed by researchers in the Perelman School...

AI Hybrid Strategy Improves Mammogram In…

A hybrid reading strategy for screening mammography, developed by Dutch researchers and deployed retrospectively to more than 40,000 exams, reduced radiologist workload by 38% without changing recall or cancer detection...

New Training Year Starts at Siemens Heal…

In September, 197 school graduates will start their vocational training or dual studies in Germany at Siemens Healthineers. 117 apprentices and 80 dual students will begin their careers at Siemens...

Routine AI Assistance may Lead to Loss o…

The introduction of artificial intelligence (AI) to assist colonoscopies is linked to a reduction in the ability of endoscopists (health professionals who perform colonoscopies) to detect precancerous growths (adenomas) in...

New AI Tool Addresses Accuracy and Fairn…

A team of researchers at the Icahn School of Medicine at Mount Sinai has developed a new method to identify and reduce biases in datasets used to train machine-learning algorithms...