Abstract
Providing healthcare in rural areas introduces a unique set of challenges. One such challenge is the disproportionate allocation of medical professionals. Only ten percent of physicians practice in rural settings despite nearly one fourth of the population living in rural areas. Because of the inconvenience and effort seeking care causes, rural patients often delay receiving the care they need. This lack of consistent care in rural areas actually leads to more complex and costly conditions when simple problems develop into serious complications. Telemedicine was identified as an essential tool to addressing healthcare locality disparities. This paper looks at the correlation of healthcare quality measures and telemedicine implementation rates in an effort to quantify utility gained by implementing these systems. This was done by joining two national data sets; the Centers for Medicare and Medicaid Services (CMS) 'Hospital Compare', which provides quality measures by hospital, and Healthcare Information and Management Systems Society (HIMSS) data set which shows various technology implemented in various healthcare settings. From this data, an area of particular growth, cardiac care focused telemedicine, was identified. However, compared to other telemedicine system types (such as radiology or intensive care) that have fairly consistent implementation rates across all hospital types, cardiac care telemedicine systems are far less implemented in critical access hospitals than in general or academic settings. These findings lead us to investigate possible barriers to implementation and the correlation between quality measures and the presence of telemedicine systems at the institution.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
| Editors | Fernando G. Tinetti, Quoc-Nam Tran, Leonidas Deligiannidis, Mary Qu Yang, Mary Qu Yang, Hamid R. Arabnia |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1678-1683 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538626528 |
| DOIs | |
| State | Published - Dec 4 2018 |
| Event | 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 - Las Vegas, United States Duration: Dec 14 2017 → Dec 16 2017 |
Publication series
| Name | Proceedings - 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
|---|
Other
| Other | 2017 International Conference on Computational Science and Computational Intelligence, CSCI 2017 |
|---|---|
| Country/Territory | United States |
| City | Las Vegas |
| Period | 12/14/17 → 12/16/17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 10 Reduced Inequalities
Keywords
- HIMSS
- Rural healthcare delivery
- cardiac complication rates
- health technology
- healthcare quality
- patient-centered care
- telemedicine
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