BlueMedics Evidence-based Patient Empowerment

Challenges Integration of clinical data –Horizontal - Sources –Vertical – Data Dynamic incorporation of public knowledge –Structure, unstructured and semi-structured Scalable enablement platform –Support analytical services –3 rd -Party service providers Intuitive portal –Patients are from Mars, Physician are from Venus Leverage social networks for the benefits of physicians and patients PHR CDA Pharmacy Clinical Trials Imaging Clinical Genomics Lab Results

About The Project Joint project between IBM and Gil Hospital (Korea) 5 years project, currently in 2 nd 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 3 rd -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

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 Search Filter by: Patient attributes  Gender (100)  Male (46)  Female (54)  … Advance search Relationship type  Treated By (23) John Doe – Results filtered by: facet1 >> facet2 >> facet3 Displaying entities 1-10 out of … next 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. Medications (12) Allergies (1) Treating Physicians (3) Dr. Li-Chang Dr. Rozenbaum Dr. Bang Dr. SwarchDr. CohenDr. Chen-LiDr. DavisDr. RobsonDr. Rim Dr. Morgan Dr. AkmedDr. Darry Dr. Mike Dr. DarkDr. MarkDr. WeissDr. Smark Donald Smith Klara Wood