Name
Abstract | ||
|---|---|---|
Electronic health record (EHR) systems improve health care services by allowing the combination of health data with clinical decision support features and clinical image analyses. This study presents a modular and distributed platform that is able to integrate and accommodate heterogeneous, multidimensional (omics, histological images and clinical) data for the multi-angled portrayal and management of skin cancer patients. The proposed design offers a layered analytical framework as an expansion of current EHR systems, which can integrate high-volume molecular -omics data, imaging data, as well as relevant clinical observations. We present a case study in the field of dermatology, where we attempt to combine the multilayered information for the early detection and characterization of melanoma. The specific architecture aspires to lower the barrier for the introduction of personalized therapeutic approaches, towards precision medicine. The paper describes the technical issues of implementation, along with an initial evaluation of the system and discussion. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/s10916-020-01679-3 | JOURNAL OF MEDICAL SYSTEMS |
Keywords | DocType | Volume |
Clinical decision support tools, Composite biomarkers, Dermoscopy, Melanoma, Next generation sequencing | Journal | 45 |
Issue | ISSN | Citations |
1 | 0148-5598 | 1 |
PageRank | References | Authors |
0.37 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ilias Maglogiannis | 1 | 937 | 97.72 |
| Georgia Kontogianni | 2 | 1 | 0.37 |
| Olga Papadodima | 3 | 3 | 2.55 |
| Haralampos Karanikas | 4 | 41 | 3.90 |
| Antonis Billiris | 5 | 1 | 0.37 |
| A Chatziioannou | 6 | 101 | 12.93 |