| Chapter title |
Informatics for Precision Medicine and Healthcare
|
|---|---|
| Chapter number | 1 |
| Book title |
Translational Informatics in Smart Healthcare
|
| Published in |
Advances in experimental medicine and biology, January 2017
|
| DOI | 10.1007/978-981-10-5717-5_1 |
| Pubmed ID | |
| Book ISBNs |
978-9-81-105716-8, 978-9-81-105717-5
|
| Authors |
Jiajia Chen, Yuxin Lin, Bairong Shen |
| Abstract |
The past decade has witnessed great advances in biomedical informatics. Biomedical informatics is an emerging field of healthcare that aims to translate the laboratory observation into clinical practice. Smart healthcare has also developed rapidly with ubiquitous sensor and communication technologies. It is able to capture the online patient-centric phenotypic variables, thus providing a rich information base for translational biomedical informatics. Biomedical informatics and smart healthcare represent two interrelated disciplines. On one hand, biomedical informatics translates the bench discoveries into bedside, and, on the other hand, it is reciprocally informed by clinical data generated from smart healthcare. In this chapter, we will introduce the major strategies and challenges in the application of biomedical informatics technology in precision medicine and healthcare. We highlight how the informatics technology will promote the precision medicine and therefore promise the improvement of healthcare. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Student > Doctoral Student | 5 | 15% |
| Student > Master | 3 | 9% |
| Researcher | 3 | 9% |
| Professor > Associate Professor | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 12 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 24% |
| Computer Science | 5 | 15% |
| Agricultural and Biological Sciences | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Nursing and Health Professions | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 16 | 47% |