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BlueMedics
Evidence-based Patient Empowerment
Challenges
PHR
• Integration of clinical data
CDA
– Horizontal - Sources
– Vertical – Data
• Dynamic incorporation of public knowledge
Clinical
Genomics
– Structure, unstructured and semi-structured
Lab
Results
• Scalable enablement platform
– Support analytical services
– 3rd-Party service providers
• Intuitive portal
– Patients are from Mars, Physician are from Venus
• Leverage social networks for the benefits of physicians and
patients
Pharmacy
Clinical
Trials
Imaging
About The Project
• Joint project between IBM and Gil Hospital (Korea)
• 5 years project, currently in 2nd year
• 3 IBM centers are involved:
– IBM Korea
– IBM Research in China
– IBM Research in Israel
• Building an open platform and services
• Web-based rich portal
• Testing the system with patients and physicians from the hospital
• Support integration with external PHR (e.g. Google Health)
ADE Service
• Provide alerts about potential ADE alerts
– At the point of care
– As a consultancy service (for patients or physicians)
• Give an explanation about the alert
– Summary of the potential ADE
– Why did the system generated it
– Reference to relevant paper/article/FDA alert
• Suggest recommended dosage if available
• Integration between patient data and relevant
knowledge
Genetic ADE
• Integration of genetic test results in the patient’s
medical record
– Integration with direct-to-consumer 3rd-party services
• Incorporate public knowledge bases (e.g. PharmKGB)
• Express evidences in a PGx model
• Execution environment to generate ADE notifications
that are also considering the genetic profile
Social Medical Service
• Everything is an entity
• Relationships between
entities:
– Patient consumes
medications
– Physician prescribed
medication
– ADE interactions between
drugs
– Pharmacogenetics ADE
Interaction
– Many more…
Patient
Physician
Patient
Physician
Patient
Physician
Patient
Patient
Physician
Patient
Social Medical - Example Use Cases
• Social Medical Discovery
– Unified search over entity-relationship graphs
• Textual search
• Faceted search
– Facets examples: patient age, medication generic name, genetic variation
– Support fast navigation by drilling down and up in the results
– Fast results navigation and exploration
• Similar Patients
– Discover similar patients that share similar medical conditions
– Create social communities of similar patients
• Medical Recommendation
• Both patients and physicians will find the above useful
Social Medical Discovery – UI Example
Filter by:
Search
• Patient attributes
Displaying entities 1-10 out of 112
 Gender (100)
Male (46)

Female (54)
John Doe – 0122-333-444
…
Any important detail that needs
to be displayed about patient, goes
here. Such details come from
patient’s attributes. Displayed data
can be further summarized and
matching keywords, entities can be
highlighted.
• Relationship type
 Treated By (23)
Dr. Mark
Dr. Li-Chang
Dr. Davis
Dr. Robson
Dr. Morgan
Dr. Chen-Li
Dr. Rozenbaum
Dr. Bang
Dr. Swarch
Dr. Weiss
1 2 3 4… 12 13 next
Results filtered by: facet1 >> facet2 >> facet3

Dr. Dark
Advance search
Dr. Cohen
Dr. Rim
Dr. Akmed
Dr. Darry
Donald Smith
Dr. Mike
Dr. Smark
Klara Wood
Medications (12)
Allergies (1)
Treating Physicians (3)