WoHIT 2012 Call for Papers - One More Week Left to Submit Abstracts

The 2012 World of Health IT7 - 9 May 2012, Copenhagen, Denmark.
Successful submissions will closely address the selected session's theme and provide practical information to assist European healthcare professionals in the betterment of healthcare through the effective use of information technology.

Session abstracts submitted should not exceed 200 words and should be concise, noting the achievement, resulting benefits and the speakers who can effectively deliver the presentation.

Submissions should be made by e-mail to This email address is being protected from spambots. You need JavaScript enabled to view it. and no later than September 1st 2011.

Papers will be reviewed by the Programme Committee by mid-September. Please include the full contact information of the submitter - additional clarifying detail may be needed as part of the Programme Advisory Committees review of the papers.

1. Healthcare IT: Beyond the Technology: A session series that looks beyond the technical implications of successful IT implications

  • Health Outcomes and/or
  • Patient Satisfaction and Customer Service and/or
  • Reducing the possibility for Medical Errors and improving patient safety

2. eHealth Empowered Nursing: This session should offer one or more case studies examining the conversion of a paper based care delivery and the proven practical benefits to the nurse, the patient and the organization through fully digitized nurse.

3. Ambulatory Clinical Settings and IT Empowerment: This session should examine the GP's Surgery and other ambulatory settings as the pillars of low cost and practical settings to deal with frequent management of chronic disease. This session should show the way forward for the effective digitization of small to mid-size GP practices.

4. Nation Building: Assembling a national, regional, local exchange of health information: This session should describe best known practices of assembling all of the stakeholders in the healthcare continuum into a collaborative effort that achieves health information exchange:

  • Policy Maker Perspectives
  • Hospital Management
  • CIO/IT Directors perspectives
  • Clinicians
  • Patients and understanding customer perspectives

5. How is mobile technology changing healthcare? This session should give solid examples of initial or advanced use of mobile health technology and its impact on healthcare from the provider and the hospital perspective.

6. Clinical applications: This session should offer practical examples of documented cost savings and/or improved health outcomes using one or more of the below technologies:

  • Clinical decision support
  • Visual diagnosis
  • Emergency response systems
  • Emergency management systems
  • CPOE - Clinical Provider Order Entry
  • RFID
  • Biometrics
  • Social Media
  • Virtual technologies
  • Personalised medicine

7. Reporting of quality metrics - transitioning from a 20th century to a 21st century hospital: This session should demonstrate practical examples from a local/regional/national perspective of how more transparency in the reporting of healthcare quality metrics has led to a more efficient and effective delivery of care.

Related news articles:

Most Popular Now

Almost All Leading AI Chatbots Show Sign…

Almost all leading large language models or "chatbots" show signs of mild cognitive impairment in tests widely used to spot early signs of dementia, finds a study in the Christmas...

New Study Reveals Why Organisations are …

The slow adoption of blockchain technology is partly driven by overhyped promises that often obscure the complex technological, organisational, and environmental challenges, according to research from the University of Surrey...

Bayer Acquires HiDoc Technologies and Ca…

Bayer is today announcing that it plans to acquire HiDoc Technologies GmbH in the first quarter of 2025 and to start commercialization of the digital health application, Cara Care®. Cara...

Shape-Changing Device Helps Visually Imp…

Researchers from Imperial College London, working with the company MakeSense Technology and the charity Bravo Victor, have developed a shape-changing device called Shape that helps people with visual impairment navigate...

Deep Learning Model Accurately Diagnoses…

Using just one inhalation lung CT scan, a deep learning model can accurately diagnose and stage chronic obstructive pulmonary disease (COPD), according to a study published today in Radiology: Cardiothoracic...

Emotional Cognition Analysis Enables Nea…

A joint research team from the University of Canberra and Kuwait College of Science and Technology has achieved groundbreaking detection of Parkinson's disease with near-perfect accuracy, simply by analyzing brain...

New Recommendations to Increase Transpar…

Patients will be better able to benefit from innovations in medical artificial intelligence (AI) if a new set of internationally-agreed recommendations are followed. A new set of recommendations published in The...

Digital Health Unveils Draft Programme f…

18 - 19 March 2025, Birmingham, UK. Digital Health has unveiled the draft programme for its Rewired 2025 event which will take place at the NEC in Birmingham in March next...

AI System Helps Doctors Identify Patient…

A new study from Vanderbilt University Medical Center shows that clinical alerts driven by artificial intelligence (AI) can help doctors identify patients at risk for suicide, potentially improving prevention efforts...

Smartphone App can Help Reduce Opioid Us…

Patients with opioid use disorder can reduce their days of opioid use and stay in treatment longer when using a smartphone app as supportive therapy in combination with medication, a...

AI's New Move: Transforming Skin Ca…

Pioneering research has unveiled a powerful new tool in the fight against skin cancer, combining cutting-edge artificial intelligence (AI) with deep learning to enhance the precision of skin lesion classification...

AI can Improve Ovarian Cancer Diagnoses

A new international study led by researchers at Karolinska Institutet in Sweden shows that AI-based models can outperform human experts at identifying ovarian cancer in ultrasound images. The study is...