What is Machine Learning?
Machine learning is a field of computer science that uses statistical techniques to give computer systems the ability to "learn" (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed.
Despite the dramatic growth in the number of hospitals providing Palliative care over the last decade, full palliative care services remain unavailable to many patients. According to data from the National Palliative Care Registry™, in hospitals reporting palliative care teams, an average of 3.4 percent of admissions receive palliative care services. Estimates place the need for palliative care, however, between 7.5 and 8.0 percent of hospital admissions. Accordingly, between 1 million and 1.8 million patients admitted to U.S. hospitals each year could benefit from palliative care, but are not receiving it. Making palliative care available to the much larger population of the seriously ill who are neither hospitalized nor dying in the community settings where they receive care is the single largest opportunity to improve value in the U.S. healthcare system.Patients and families coping with serious illness want and need access to the quality of life that palliative care provides.
As recognition of the need for Palliative care grows, many stakeholders are now facing the difficulty of determining which of their members may benefit from Palliative care. Acclivity’s proprietary Machine Learning/ Artificial Intelligence(AI) algorithms not only allow for accurate determination of members most in need of Palliative care, but populate that into the stakeholder’s view in a meaningful way. Acclivity allows the stakeholder to get an accurate view of what members are most in need, resulting in better satisfaction, lower costs, and more relevant care decisions.
What is our Solution?
In order to receive Palliative care, Patients must be suffering from chronic and serious illness. Currently Palliative Care Providers have to depend upon Hospitalists, Specialists, and Primary Care Physicians to provide referral for Palliative care. Studies have shown that Primary Care Physicians do not refer the patients because of overoptimism with prognosis, time pressure or treatment inertia. As a result, all the patients, who should receive Palliative Care, are not receiving Palliative Care. In order to improve quality of patients’ life, Palliative Care Providers want to provide Palliative care services to larger number of patients. Based upon claim or clinical (EHR/EMR) data, Acclivity’s Machine Learning model enables Palliative Care Provider to filter out a subset of patients who really need Palliative Care. This frees up the palliative care team from manual chart review of every patient. Also to facilitate superior quality of conversation between Palliative Care Provider and Patient, Machine Learning model provides the relevant data and reasons on why a patient needs Palliative Care.