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

500 Patient Images per Second Shared thr…

The image exchange portal, widely known in the NHS as the IEP, is now being used to share as many as 500 images each second - including x-rays, CT, MRI...

Is Your Marketing Effective for an NHS C…

How can you make sure you get the right message across to an NHS chief information officer, or chief nursing information officer? Replay this webinar with Professor Natasha Phillips, former...

We could Soon Use AI to Detect Brain Tum…

A new paper in Biology Methods and Protocols, published by Oxford University Press, shows that scientists can train artificial intelligence (AI) models to distinguish brain tumors from healthy tissue. AI...

Welcome Evo, Generative AI for the Genom…

Brian Hie runs the Laboratory of Evolutionary Design at Stanford, where he works at the crossroads of artificial intelligence and biology. Not long ago, Hie pondered a provocative question: If...

Telehealth Significantly Boosts Treatmen…

New research reveals a dramatic improvement in diagnosing and curing people living with hepatitis C in rural communities using both telemedicine and support from peers with lived experience in drug...

AI can Predict Study Results Better than…

Large language models, a type of AI that analyses text, can predict the results of proposed neuroscience studies more accurately than human experts, finds a new study led by UCL...

Using AI to Treat Infections more Accura…

New research from the Centres for Antimicrobial Optimisation Network (CAMO-Net) at the University of Liverpool has shown that using artificial intelligence (AI) can improve how we treat urinary tract infections...

Research Study Shows the Cost-Effectiven…

Earlier research showed that primary care clinicians using AI-ECG tools identified more unknown cases of a weak heart pump, also called low ejection fraction, than without AI. New study findings...

New Guidance for Ensuring AI Safety in C…

As artificial intelligence (AI) becomes more prevalent in health care, organizations and clinicians must take steps to ensure its safe implementation and use in real-world clinical settings, according to an...

Remote Telemedicine Tool Found Highly Ac…

Collecting images of suspicious-looking skin growths and sending them off-site for specialists to analyze is as accurate in identifying skin cancers as having a dermatologist examine them in person, a...

Philips Aims to Advance Cardiac MRI Tech…

Royal Philips (NYSE: PHG, AEX: PHIA) and Mayo Clinic announced a research collaboration aimed at advancing MRI for cardiac applications. Through this investigation, Philips and Mayo Clinic will look to...

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...