- Healthcare Analytics Growth to Challenge IT Infrastructure
- Growth of Medical IoT Devices Supports Healthcare Analytics
"The personalized health solution will enable SFHCP to proactively share patient information and treatment plans across the care continuum,” Vice President of Orion Health Suzanne Cogan said in a statement. "This is an important step in the PHO/ACO's journey from population health to precision medicine."
SFHCP is an accountable care organization, and according to Cogan, requires an elastic solution that scales across the many locations a patient will be seen, from the emergency room to primary care facility.
SFHCP hopes to use the precision medicine solution to allow its location to collaborate and share data more efficiently to benefit the patient.
“The platform is flexible, so that it can be adapted to different health care delivery models,” SFHCP Chief Medical Informatics and Quality Officer Dr. Sudeep Bansal explained. “In addition, the data analytics capabilities allow us to identify high-risk patients, which allows us to intervene earlier, enhance preventive care and improve the quality of care we deliver."
Precision medicine gives patients more personalized care and many healthcare organizations are implementing precision medicine solutions in their health IT infrastructure to handle the influx of data, as well as interoperability efforts.
Clinicians need modern tools to more accurately diagnose things like cancer, chronic conditions, and neurodegenerative diseases.
Precision medicine is gaining momentum as a staple in health IT infrastructure as genomics and a wide range of data gathered from patient records and remote monitoring become vital to patient health.
Frost & Sullivan evaluated the current status and future potential of precision medicine. The success of precision medicine depends heavily on the technology healthcare organizations are able to deploy to support it.
"Precision medicine solutions are leading to both technology and process innovations in care delivery," Kamaljit Behera Frost & Sullivan Industry Analyst said in a statement. "From credit card information to wearables, structured and unstructured sources of personalized data will be captured and correlated to help wellbeing and clinical care guidance."
Declining infrastructure technology costs, such as virtualization solutions, give many healthcare organizations the opportunity to explore the possibilities of precision medicine. Solutions such as flash-based array lower the overall cost of storing structured and unstructured data as well as giving organizations to store more data for analytics purposes.
Report authors predict that by 2020, advanced clinical decision support systems (CDSS) will evolve to combine insight from genomic data with clinical and environmental information to provide more personalized treatment for patients.
Precision medicine is still in a vital development phase and many healthcare organizations need to weigh cost and relevancy against other IT infrastructure projects. Organizations need to determine which parts of their IT infrastructure need to be upgraded before deciding on precision medicine plan. Storage and network capacity need to be considered before adding extra strain on the network.
Organizations also need to accommodate for current and future connected medical devices and wearables connecting to the network. These devices provide data for the analytics solutions necessary for precision medicine implementations.
By 