How Hospices are Using Technology Today
The use of technology in hospice is changing how care is delivered. EMRs are certainly nothing new, but technologies like telemedicine and predictive analytics are sparking the attention of leaders in hospice and home health. Forward-thinking leaders in this space view this as an exciting time for clinicians and will ultimately change how care is administered.
Predictive analytics uses statistical patient data to inform clinicians of future care plans. It learns from historical data to make accurate predictions about a potential outcome. The data is garnered from electronic health records that predicts a patient’s condition. This in turn allows appropriate care to be administered to these patients. As healthcare professionals begin to include predictive analytics in their profession, it will enable them to make better decisions for more personalized care. This wholistic data will also reduce unnecessary interventions that protects the patient from preventable discomfort. As a result, clinicians are able to determine a more thoughtful care plan for their patients.
Telehealth and Predictive Technology
The use of telehealth is necessary now more than ever. It is especially important in rural communities. As patients receive care remotely, it removes unnecessary barriers to health services caused by transportation and distance. Hospices today use virtual communication through video to connect nurses and doctors with caregivers. In times of limited resources, a caregiver or family member can deliver comfort and care to patients through videophone as they are guided through a procedure. And as staffing shortages take place across the nation, the need for telehealth becomes even greater as the needs of hospice patients are met.
Muse has adapted its predictive machine learning tools to use these telehealth visits and evaluate the patient. This allows the hospice to be alerted in the tool when the patient begins to decline.
Timeliness to Care
Ensuring caregivers are available when the patients need us the most is the core value of the Muse predictive technology. Muse uses machine learning to establish a base line of the current condition of the patient and then alerts the care team when the patient begins to accelerate in the disease process. This allows more visits to be scheduled when the patient needs them most. Muse also enables the caregivers to communicate with the patient and family ensuring they are involved in the patient's care.
The role of technology continues to change in healthcare and in particular hospice care. How
agencies incorporate these tools will determine their flexibility and potential survival in the industry. It will also determine how they administer care in an ever-evolving world. Interested to learn how Muse incorporates technology? Contact us to see what Muse is doing in both the tech and in the home health and hospice spaces at email@example.com