2019 ACMI Winter Symposium Theme
Evidence-based medical practice is intended to reduce unexplained clinical variability and improve patient outcomes. It developed in response to medical practice that was overly reliant on individual observations and personal experience. While this approach has demonstrably improved the quality of care for many conditions, it doesn’t answer the common question raised by providers, “Will a given therapeutic regimen help my patient at a given point in her/his clinical course?” This is because we do not have granular information about patient-specific contextual factors that have bearing on the question at hand and because our traditional analytical approaches target populations rather than individuals. As stated by Dr. Ralph Horwitz, to effectively treat a patient we must not only know their biology, but also their biography. The ACMI 2019 meeting will be focused on how informatics can be used to develop the information needed to effectively treat a patient based on both the patient’s biology and biography, or what some call medicine-based evidence.
Principles of medicine-based evidence include:
- Medicine based evidence starts with a longitudinal profile of the biological, clinical, psychological, and social environmental history of a single index patient.
- Profiles that approximately match the index patient provide the comparative empirical base for management of the index case.
- The evidential core of medicine-based evidence, the approximate matches to an index case, focuses on the needs of clinical practice and sharply contrasts with evidence-based medicine which emphasizes internal validity (controlled trials) to the detriment of applicability in the real world of the clinic.
The ACMI Winter Symposium always features our members’ best science. We encourage you to submit proposals featuring your most exciting work. Given the theme of the meeting we are particularly interested in submissions relevant to the theme.
Some suggested topics include:
- Novel use of informatics to collect patient-reported outcomes
- Collection and representation of social determinants of health in the electronic health record
- Exploring the role of informatics in realizing the quantified self in healthcare
- Development of Standards for patient-reported outcomes and social determinants
- Digital Health – data-driven medicine/Artificial Intelligence (machine learning models from the data points of a cohort that can provide recommendation)
- Patient level predictive models
- Comparative-effectiveness and Observational studies (deriving evidence for practice from transactional clinical data)
- Learning healthcare system powered by informatics (a loop of medicine-based evidence and evidence-based medicine, resulting from the Data to information, knowledge, and wisdom (DIKW) pyramid)
- Ethics and decisions under uncertainty
- Appropriate uses and users of evidence-based decision support systems
Ignite-style talk proposals are for a timely, provocative, and creative five-minute talk addressing a hot topic in informatics related to the symposium theme. Ignite-style talks will contain exactly 20 slides, 15 seconds each, that will be automatically advanced. After your presentation, a moderator will facilitate brief dialogue with the audience and move to the next presentation. Ignite-style Talks will be pre-loaded on a laptop and you will be required to submit a final version of your presentation slides in advance using the ACMI slide template.
Panels provide an opportunity for an extended exploration of a topic by the panelists. A panel proposal should describe the topic to be explored and an argument as to why this topic is timely, urgent, needed, or attention-grabbing. Further, the proposal should describe why the participating panelists are germane to this topic.
This format provides an opportunity for an extended exploration of a specific topic by Fellows. Please describe the topic to be explored and an argument as to why this topic is timely, urgent, or needed.
You are welcome to submit an idea for another format. We invite your proposal for an individual presentation or session.
Preparing Your Proposal
You will need to prepare and provide the following:
- Abstract (up to 250 words)
- Selection of a format
- Tweet summary of talk
- Three keywords
- Patient-reported outcomes
- Social determinants
- Quantified self
- Data-driven medicine/Artificial Intelligence
- Patient level predictive models
- Comparative-effectiveness/Observational studies
- Learning healthcare system
- Decisions under uncertainty
- Evidence-based decision support
- Desired meeting outcome