Transitional Care Management (TCM) focuses on the time after a patient leaves places like hospitals, nursing homes, or rehab centers. This period is very important because problems like missed follow-ups, medicine mistakes, or delays in referrals can cause complications, visits to the emergency room, or going back to the hospital. Studies show that good transitional care can cut unplanned readmissions by almost 60%. This helps keep patients safe and saves hospitals money.<\/p>\n
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Medical practice leaders know that fewer readmissions also mean fewer fines from Medicare and better payments. Medicare has special billing codes (CPT 99495 and 99496) for TCM. These pay more than usual office visits and encourage providers to give good care after discharge. To succeed in billing, patients need to be contacted within 2 business days after leaving the hospital and seen face-to-face within 7 to 14 days depending on how serious their case is.<\/p>\n
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Combining AI technology with certified clinicians like nurse practitioners and physician assistants helps improve TCM processes. AI can do routine tasks like managing referrals, looking at discharge papers, writing care plans, and sending reminders for follow-ups. This saves time for clinicians so they can spend more time on patient care and tough decisions.<\/p>\n
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For example, Andor Health\u2019s ThinkAndor\u00ae AI system works with clinicians to support patients after discharge. It helps with checking medicines, screening symptoms, and educating patients and caregivers through virtual or phone visits. This system has helped reduce unplanned hospital returns by 59%. It also improves team communication in real time at no extra cost to the health system.<\/p>\n
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Medical IT leaders in the U.S. can use similar AI tools along with clinical skills to make care more efficient and consistent while following rules.<\/p>\n
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After discharge, many care teams like primary doctors, specialists, pharmacists, and case managers need to work together smoothly. AI platforms keep all patient information in one place, manage referrals automatically, and support secure communication that follows privacy laws. For example, PerfectServe and TigerConnect provide safe messaging linked to patient records so important information gets to the right providers fast. This helps avoid delays that can hurt patients.<\/p>\n
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These AI systems need to connect with electronic health records (EHRs) such as Epic, eClinicalWorks, Veradigm, and DrChrono to work well. This allows data to flow both ways, cutting down on manual entry errors and saving time. HealthArc uses AI to transcribe doctor-patient talks and offer insights about patient health. This helps doctors make better decisions and speeds up workflow, especially for TCM tasks.<\/p>\n
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Remote patient monitoring tools track patients\u2019 health after they leave the hospital. AI analyzes this data to find risks early on. When risks are spotted, clinicians can act sooner and help avoid emergency visits or readmissions.<\/p>\n
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AI can speed up referrals and task management. Platforms like Awell and HealthViewX HOPE link to clinical systems and EHRs to handle patient intake, triage, task assignments, and carrying out care plans. This lowers manual work for staff and helps make sure follow-ups happen on time.<\/p>\n
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Doctors spend a lot of their day writing notes. Companies like HealthArc and Commure use AI to transcribe conversations between doctors and patients as they happen. This automates note-taking and billing codes so doctors do less paperwork and avoid burnout. Commure\u2019s AI claims to save providers about 90 minutes daily on documentation tasks.<\/p>\n
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Care often involves many providers. Tools like PerfectServe and TigerConnect give secure messaging, alerts, and video calls linked to patient schedules and records. This helps teams talk clearly and on time about plans, lab results, or discharge steps.<\/p>\n
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TCM requires careful documentation and timing to get paid by Medicare. AI helps automate claim processing, checks for documentation errors, and makes sure rules are followed. This means billing is faster and more accurate, helping practices get paid more while doing less paperwork.<\/p>\n
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