Follow-up care makes sure patients get the attention they need after their first treatment or leaving the hospital. It includes setting up appointments, managing medicines, keeping track of symptoms, and working with different healthcare providers. But many healthcare groups have trouble with follow-up care because their information systems don’t work well together. Sometimes communication is slow, and patients are not watched closely.
Not managing follow-up care well can cause patients to return to the hospital, develop more health problems, and increase costs. For healthcare managers and IT staff, better follow-up means having systems that share information quickly and fit smoothly into care processes. Real-time data can help achieve this.
Real-time data means having patient information available right when care happens, like during hospital visits or specialist appointments. This data is mixed into the healthcare provider’s work so they can decide quickly and communicate better with team members.
One example is Bamboo Health. They work with over 2,500 hospitals and more than 8,000 care facilities in the U.S. Each year, they handle information from more than one billion patient visits.
Bamboo Health’s system sends alerts called Pings™ whenever a patient receives care. This helps providers act fast. Providers using this system saw more than 90% better follow-up care. Houston Methodist Coordinated Care also saved over $680,000 by using real-time data to coordinate care better and avoid unnecessary services.
Seeing patient movements immediately helps providers find gaps in care, coordinate services better, and take action earlier if extra help is needed. This stops missed follow-up visits and helps patients stick to their care plans.
Artificial Intelligence (AI) tools like machine learning, natural language processing (NLP), and automated communication help healthcare use real-time data better. Combining AI with workflow automation helps deliver follow-up care with less delay and effort.
NLP helps AI understand human speech and written language. It pulls out useful medical details from notes, patient talks, or records. This means AI can check documents, spot treatment needs, and point out possible problems without manual work.
Speech recognition lets doctors speak their notes, which AI then types into electronic health records (EHRs). This cuts down manual typing mistakes and saves doctors time.
Even though there are privacy rules like HIPAA, speech recognition and NLP help improve the speed and accuracy of documentation in clinical work.
AI looks at past and current patient data to find patterns. It can guess which patients might need extra follow-up or are at risk of problems. For example, if a patient just left the hospital and AI thinks they might go back soon, the care team can reach out sooner.
This helps providers use their time and resources better and may prevent some health problems.
AI chatbots and virtual helpers give patients support all day. They remind patients of appointments, explain medicine instructions, and answer simple health questions. This helps keep patients involved after visits and helps them follow care plans.
These tools also reduce the work for healthcare staff by handling routine tasks.
The market for healthcare AI is growing fast, expected to reach nearly $187 billion by 2030 from $11 billion in 2021. This shows that many U.S. healthcare systems use more real-time data and AI tools.
In the future, healthcare managers and IT staff will keep facing challenges about data privacy, following laws, and technical integration. Solving these is important to get the full benefits of real-time data in follow-up care.
Efforts must also continue to make AI available to smaller clinics so they can improve care like big hospitals. Healthcare leaders should join in AI projects to make sure these tools help with real clinical work and keep patient information safe.
These AI-powered tools let healthcare managers and IT teams build smoother workflows. Providers can then focus more on patients while technology handles routine data tasks.
Using real-time data in clinical practice is improving patient follow-up care in the United States. When combined with AI and automation, these technologies help with care coordination, reduce costs, and improve patient health. For healthcare managers, owners, and IT staff, using these tools carefully while protecting privacy and managing operations is key to success.
Bamboo Health provides Real-Time Care Intelligence™ aimed at improving healthcare outcomes, experiences, and value through technologies that connect various health entities and enhance care coordination.
Bamboo Bridge® connects patients to necessary behavioral healthcare by offering timely interventions via care navigators and a nationwide insights network, reducing organizational costs.
Bamboo Health influences over a billion patient encounters annually across more than 2,500 hospitals, 8,000 post-acute facilities, and 25,000 pharmacies.
Bamboo Health’s Pings™ platform has shown to improve patient follow-up care by over 90% by allowing providers to access and act on critical patient data.
Clients, such as Houston Methodist Coordinated Care, reported savings exceeding $680,000 by utilizing Bamboo Health’s insights for better patient management and care coordination.
Bamboo Health’s OpenBeds® solution helps improve access to mental health and substance use disorder services by streamlining referrals and reducing wait times.
Bamboo Health offers real-time alerts to physicians regarding patient engagements with other providers, integrating this information directly into clinical workflows.
Bamboo Health assists state governments by providing real-time controlled substance use data, improving public health access, and supporting policy and funding initiatives.
Bamboo Health enables health plans to improve care management and quality initiatives with real-time intelligence that enhances provider collaboration and drives value-based care.
Real-time data access helps eliminate unnecessary work for providers, allowing them to catch patients during care, build rapport, and enhance overall care quality.
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