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By applying ML and predictive modeling, health systems are able to create the optimal match between patient and provider in any scenario, from low-acuity urgent care to specialty care. This not only optimizes their own resources but also ensures outcomes that lead to high patientsatisfaction and retention.
By ensuring that providers meet rigorous standards, organizations can enhance the quality of care delivered to patients, leading to better health outcomes and patientsatisfaction. Improved Quality of Care. Risk Mitigation. Here are some tips to keep in mind: Assess Your Needs.
We’re seeing patients pay sooner and with fewer questions, freeing staff to focus on more value-added activities, such as patient education. They might also send a paper statement at this point to get a feel for how patients wish to receive communications around payment—and use this data to inform future communications.
Improved staff and patientsatisfaction – When staff is properly trained, they deliver better care, and the patient experience improves. As part of the M&A duediligence, cloud-based competency management can ensure all individuals, departments, and facilities receive the appropriate competencies.
The “thumb on the scale” QPA presumption may have less of an impact on providers that are “must-haves” for a plan based on clinical importance, or high patient-satisfaction scores. But for other providers and facilities, the impact is likely to be greater.
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