Thank you for Subscribing to CIO Applications Weekly Brief
How to Use Data from Remote Patient Monitoring to Improve Health Outcomes
Securing clinician buy-in, selecting user-friendly devices, and having tech support in place are necessary steps in implementing a successful RPM program
Fremont, CA: Healthcare organizations increasingly use remote patient monitoring (RPM) devices to track a patient's health post-procedure. Typically, this occurs in emergencies or for the management of chronic diseases. The information gathered can keep clinicians up to date on various metrics, including weight, blood sugar, blood oxygen, heart rate, and more.RPM benefits patients by improving health outcomes and providing a better patient experience. RPM enables clinicians to communicate with patients from the comfort of the patient's home, removing logistical challenges and the need to take time off work to make appointments. It also enables healthcare providers to reach people in areas where access to healthcare is limited.
RPM data can be collected in a variety of ways. However, to protect patient privacy, data collection must be HIPAA compliant. Bluetooth is the most widely used data collection method. A healthcare provider will typically send the patient a kit containing a glucometer, manometer, or another Bluetooth-enabled device that connects to a smartphone or tablet to transmit patient data to the clinician. If the device has 4G capabilities, it can send data directly to the provider without requiring a wireless connection.
With the proper application programming interface in place, data can be integrated directly into the electronic health record, making it easier for clinicians to track a patient's progress. RPM data can also be incorporated into the billing cycle for reimbursement purposes.
Once the data has been collected, the clinician can review and analyze it to ensure that the proper procedures are followed. The future of RPM data analysis is artificial intelligence with machine learning or deep learning. By analyzing data trends and alerting clinicians, these capabilities can provide additional preventive medicine by reaching out to patients to address any potential issues. AI can also reduce costs and save time by analyzing data quickly, allowing physicians to make more accurate diagnoses and treatment decisions. The more effective the algorithms, the more data can be collected.
Check Out This- Top 10 Patient Monitoring Solution Companies