ICMCC 2007 Call for Papers

ICMCCThe 4th ICMCC Event will take place in the Novotel Amsterdam (close to the WTC), June 8-10, 2007. Special hotel rates will be offered at registration (opening March 1, 2007).
The event will focus on 2 main topics
  • Electronic records and patient record access
  • Digital Homecare
Authors are encouraged to focus their contributions from a patient's perspective.

For both record access and digital homecare we would like to see an emphasis on how the patient will be informed about developments that will directly influence his life. Especially ethical subjects like how monitoring, data storage and privacy are handled. This also includes issues concerning the patient's changing responsibilities vs. the responsibilities of the clinician.

The following is a non-restrictive list:

Electronic records and patient record access:

  • Accessing generic record structures
  • Access rights handling (read, write, create, update, lock, delete; clinicians, nurses, patients)
  • Record summaries (subset, extract) versus comprehensive record structures
  • Linking to additional (health-related) information (lifestyle, wellness; linkage tokens and mechanisms
  • Relevant standards inside and outside the healthcare and welfare domain
  • Training / education and eLearning aspects (health professionals, patients, relatives)
  • Ownership (from what viewpoint?)
  • Legal and ethical aspects (e.g. 3rd party information, parential access)
  • Social aspects (especially access by (mentally-)incapacitated and (physically-)disabled persons and 3rd party access)
  • Security, safety and privacy aspects for access systems (authentication, authorisation, authenticity, integrity, accountability)
  • Benefits of permanent record access (for patients and clinicians, economic aspects, cost-benefit-relationship, impact on health, impact on treatment, impact on recovery)
  • Access systems (kiosks, internet, cards, sticks)
  • Storage and storage system access (central, de-central, local, distributed, private)
  • Long-term archives and self-management of stored information including data management
  • Critical issues and issue resolution
    • Errors {e.g. patient and clinician agree the data is wrong];
    • Conflicts {one of the patient or clinician feel the data is wrong];
    • Disclosure {The patient and clinician disagrees with the level of disclosure or sharing].

Digital homecare:

  • Intelligent health-related devices (including safety and linking aspects)
  • Sensors and other wearables (e.g. intelligent clothing)
  • Tele-homecare
  • Monitoring of information recorded (internal and external control)
  • Usability and usefulness of homecare systems including ethical aspects (patients, caregivers, relatives)
  • Self-management and data management
  • Cost efficiency and cost-benefit-relationship of homecare
  • Integration and decision management
  • Relevant standardisation in, and for, the homecare domain
  • Robotics in digital homecare
  • Smart Environments

For further information, please visit:
http://2007.icmcc.org/

Most Popular Now

AI Catches One-Third of Interval Breast …

An AI algorithm for breast cancer screening has potential to enhance the performance of digital breast tomosynthesis (DBT), reducing interval cancers by up to one-third, according to a study published...

Great plan: Now We need to Get Real abou…

The government's big plan for the 10 Year Health Plan for the NHS laid out a big role for delivery. However, the Highland Marketing advisory board felt the missing implementation...

AI Tool Accurately Detects Tumor Locatio…

An AI model trained to detect abnormalities on breast MR images accurately depicted tumor locations and outperformed benchmark models when tested in three different groups, according to a study published...

AI can Accelerate Search for More Effect…

Scientists have used an AI model to reassess the results of a completed clinical trial for an Alzheimer’s disease drug. They found the drug slowed cognitive decline by 46% in...

Free AI Tools can Help Doctors Read Medi…

A new study from the University of Colorado Anschutz Medical Campus shows that free, open-source artificial intelligence (AI) tools can help doctors report medical scans just as well as more...

Autonomous AI Agents in Healthcare

The use of large language models (LLMs) and other forms of generative AI (GenAI) in healthcare has surged in recent years, and many of these technologies are already applied in...

Researchers Create 'Virtual Scienti…

There may be a new artificial intelligence-driven tool to turbocharge scientific discovery: virtual labs. Modeled after a well-established Stanford School of Medicine research group, the virtual lab is complete with an...

From WebMD to AI Chatbots: How Innovatio…

A new research article published in the Journal of Participatory Medicine unveils how successive waves of digital technology innovation have empowered patients, fostering a more collaborative and responsive health care...

Can Amazon Alexa or Google Home Help Det…

Computer scientists at the University of Rochester have developed an AI-powered, speech-based screening tool that can help people assess whether they are showing signs of Parkinson’s disease, the fastest growing...

New AI Tool Accelerates mRNA-Based Treat…

A new artificial intelligence (AI) model can improve the process of drug and vaccine discovery by predicting how efficiently specific mRNA sequences will produce proteins, both generally and in various...

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...

RSNA AI Challenge Models can Independent…

Algorithms submitted for an AI Challenge hosted by the Radiological Society of North America (RSNA) have shown excellent performance for detecting breast cancers on mammography images, increasing screening sensitivity while...