Predictive Health Solutions @PHS_Technology
Predictive Health Solutions (PHS)was established to improve access to healthcare, improve diagnostic algorithms, and enhance patient outcomes. phs.technology Millburn, NJ Joined August 2022-
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Imagine knowing which patients are most likely to miss their appointments. Our Patient No-show Predictor allows you to target patients, personalize outreach, and boost patient attendance. phs.technology/free-infograph…
Imagine... knowing the likelihood of a patient showing up before they even walk through the door. No more wasted appointments, frustrated staff, or disrupted schedules. Ready to reclaim control of your schedule? Download our free whitepaper: phs.technology/free-infograph… #healthcare
No-shows are a major headache for healthcare providers, but there is a solution! We can help you identify patients at risk of missing appointments and take steps to prevent them. Learn more: phs.technology #patientnoshow
Our tool uses both patient data and external data sources, along with advanced machine learning and #artificialintelligence capabilities, to power solutions that help health care organizations contribute to optimal health in their communities. bit.ly/3HiRgBd
#Patientnoshows are a significant challenge for #healthcareproviders, resulting in lost revenue, operational disruptions, and decreased satisfaction. Our tool can help providers anticipate, manage, and minimize no-shows using existing data and advanced analytics capabilities.
Our #PatientNoShow Predictor uses historical data to identify patients at high risk of missing appointments. This information can then be used to develop targeted interventions to reduce no-shows, such as personalized reminders, outreach programs, and transportation assistance.
The #NoShowPredictor features a daily scorecard where each appointment is scored based on the no-show probability, allowing schedulers to quickly assess which patients are most likely to miss their appointments. #healthcare
Check out our #ROIcalculator to see how much money you can save by using our #patientnoshow predictor Input your office's estimated number of scheduled appts, current no-show rate, and the average cost per appointment. Our calculator will do the rest. bit.ly/3PBqMgu
Our #patientnoshow predictor uses #historicaldata to identify patients at high risk of missing their appointments. This information can then be used to develop targeted interventions to reduce no-shows. To equip your staff with our patient no-show predictor, contact us today!
If you're looking to gain an understanding of our #PatientNoShowPredictor, then download our #whitepaper. This is packed with insights, data-driven analysis, and expert perspectives that will help you to make better decisions and stay ahead of the comp. bit.ly/3HiRgBd
PHS leverages patient data, external data sources, and state-of-the-art machine learning and artificial intelligence capabilities to develop solutions empowering healthcare organizations to actively promote optimal health within their communities. #patientnoshows
#Patientbacklogs can lead to long wait times, delays in care, and negative consequences for patient health. Our solution helps ensure your daily schedule is fully utilized so that appointments no longer go unused. #patientnoshows #healthcare
With our #PatientNoShowPredictor, we can help you predict and minimize #noshows while maximizing patient access to care. Your patients rely on you for their well-being, and you can rely on us to provide the solutions you need. Let's work together!
Not only can we predict #noshows, but we can also determine the optimal reminder protocol for each patient. Tailoring reminders to individual preferences can maximize the likelihood that your patients will show up, ensuring they receive the care they need when they need it.
Did you know that these #missedappointments cost US healthcare providers a staggering $150 billion each year? Try out our #ROIcalculator today, and discover just how much your practice could save by reducing #noshows. bit.ly/3PBqMgu
We understand the challenges #healthcareproviders face when patients miss appointments. It not only disrupts schedules but also affects patient care and revenue. Our #patientnoshow predictor is designed to tackle this issue head-on .bit.ly/3HiRgBd
In today's ever-evolving healthcare landscape, understanding patient behavior and optimizing appointment scheduling is crucial. #patientnoshows Get ready to make better decisions and drive positive change in #healthcare! 💪 🔗 bit.ly/3HiRgBd
Use our tool to reduce #patientnoshows by using machine learning algorithms to identify patients who are at high risk of not showing up. This can be done by analyzing historical data, such as the patient's past no-show record, their demographics, and their insurance status.
On average, the no-show rate for medical appointments in the United States is estimated to be around 20%. This means that roughly 1 out of every 5 appointments results in a patient not showing up.
#SASExplore is set to be a must-attend event for data scientists and technologists in every industry. You’ll gain the expertise to achieve faster results, stay ahead of change and outpace tomorrow. Register today: bit.ly/44IBPL3

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