Clear Perspective: Managing Significant Changes in PCI DSS 4.0

Telehealth means giving medical care and advice through digital tools. This way of care is growing fast. AI helps doctors and nurses manage patient care better and make smarter decisions. A study by the Massachusetts Institute of Technology (MIT) found that 75% of healthcare centers using AI saw better ways to manage illnesses. This is very helpful in telehealth, where doctors cannot do physical exams. AI fills this gap by giving useful information from patient records and real-time data. For example, AI can quickly read electronic health records (EHRs). This helps doctors find important facts like past illnesses, treatments, and current medicines. Doctors then can make better choices during telehealth visits and help patients more. Also, 80% of health groups using AI said their staff felt less tired. Telehealth workers often get many calls and work long hours, which can cause burnout. AI tools like automated phone systems and virtual helpers take care of simple patient questions, so staff can focus on harder problems. One example is Welltok’s AI chatbot. It works with 98% accuracy and saved patients over 60% of their time in asking questions. This shows how AI can help patients get information faster and easier. Specialized AI Applications in Telehealth Services Automated Health Record Analysis Places like the Mayo Clinic, IBM, and Google use AI to handle a lot of health data. AI systems look at patient history, tests, and scans to find patterns humans might miss. This helps doctors diagnose diseases earlier and make better treatment plans without extra work. ✓ AI Call Assistant Knows Patient History SimboConnect surfaces past interactions instantly – staff never ask for repeats. Unlock Your Free Strategy Session Virtual Nursing Assistants Apps like NurseWise, made by the American Nurses Association, work as virtual nurses. They give patients help any time of the day. These assistants answer questions, check symptoms, and remind patients to take medicines. These tools support patients outside normal clinic hours. Remote Patient Monitoring (RPM) RPM uses devices like wearables to collect info such as heart rate, blood pressure, and sugar levels. AI checks this data right away and warns doctors if something is wrong. This helps care teams in the US manage long-term illnesses like diabetes and heart failure. It can lower visits to the emergency room and hospital readmissions. Predictive Analytics for Population Health AI can find patients who might get sicker by looking at social and health data. This helps health systems plan and give help to the right people. It improves health in whole communities. Real-Time Clinical Feedback Platforms like Teladoc use AI to give doctors quick information during appointments. This feedback helps doctors diagnose better and change treatments immediately if needed. AI’s Impact on Healthcare Staff and Patient Experience One big benefit of AI in telehealth is that it reduces work and stress for doctors, nurses, and office workers. AI can do simple tasks like scheduling, answering calls, and following up with patients. This cuts down paperwork and lets staff focus on patient care. Paul Sun, an expert in healthcare technology, says “AI in healthcare is a good plan for future medical care.” He points out that AI helps use resources well and shows cheaper care options to patients. For patients, AI systems give faster answers and more personal messages. Instead of waiting on hold or going through confusing phone menus, patients can talk to AI chatbots. These chatbots help with things like setting appointments or explaining medicines. This makes patients happier and more likely to follow their care plans. Older adults, who often need more health support, also get help from AI virtual helpers like Amy by CarePilot. These systems remind elderly patients when to take medicine, book appointments, and do health tasks each day. AI and Workflow Automation: Streamlining Telehealth Operations Automated Phone Answering and Call Routing Companies like Simbo AI offer AI phone automation. These systems answer front desk calls, sort questions, and send them to the right person. This cuts wait times and makes sure patients get correct info fast. For medical offices in the US, AI phone systems also reduce missed appointments by sending reminders. Staff can spend more time with patients and handle harder office work. Scheduling and Notifications AI tools match patient appointments with doctor schedules, patient needs, and clinical rules. Chatbots like myCheck-in help manage appointments by sending reminders, collecting patient info before visits, and helping reschedule automatically. Better scheduling means less office work and smoother patient flow. Patients wait less and doctors work better. AI Call Assistant Manages On-Call Schedules SimboConnect replaces spreadsheets with drag-and-drop calendars and AI alerts. Let’s Chat → Documentation Assistance AI voice recognition tools change spoken notes into written records. This saves doctors time on writing charts and lets them spend more time with patients. Data Security and Compliance Automation AI also helps keep data safe by watching who uses patient info. It sends alerts quickly if there are signs of data problems. This helps healthcare managers keep patient records secure and follow laws like HIPAA. HIPAA-Compliant Voice AI Agents SimboConnect AI Phone Agent encrypts every call end-to-end – zero compliance worries. Unlock Your Free Strategy Session → AI’s Role in Reducing Hospital Readmissions and Cost Savings Hospital readmissions cost a lot in the US. AI helps find why patients might come back to the hospital, like not taking medicines or missing follow-up care. AI analyzes past patient data to spot who is at high risk. Doctors can then give those patients extra care to stop them from returning to the hospital. This saves money, shortens hospital stays, and helps patients feel better. Future Prospects for AI in Telehealth AI keeps getting better and will bring more tools to telehealth. Future ideas include better diagnostic tools using AI to read images, smarter virtual health coaches, and personalized treatment based on genes and lifestyle data. As AI grows, more people in faraway or underserved areas in the US will get better healthcare. This could give them good medical care no matter

Ahead of Intelligent Health (13-14 September 2023, Basel, Switzerland), we asked Yurii Kryvoborodov, Head of AI & Data Consulting, Unicsoft, his thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   Generative AI is just a part of the disruptive impact of all AI tech on the healthcare industry. It allows to dramatically reduce time efforts, costs and chances of mistakes. Generative AI and LLMs are applied to automating clinical documentation, drug discovery, tailoring of treatment plans to individual patients, real-time clinical decision support and health monitoring, extracting valuable insights from unstructured clinical records, streamlining administrative tasks like billing and claims processing, providing instant access to comprehensive medical knowledge. And this list continues.

We sat with Benjamin von Deschwanden, Co-Founder and CPO at Acodis AG, to ask him his thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   I think that the strength of Generative AI lies in making huge amounts of information accessible without needing to manually sift through the source material. Being able to quickly answer any questions is going to be transformative for everyone working with increasingly bigger data sets.The challenge will be to ensure that the information we get by means of Generative AI is correct and complete – especially in healthcare – as the consequences of wrong data can be fatal. We at Acodis are actively working on practical applications of Generative AI inside our Intelligent Document Processing (IDP) Platform for Life Science and Pharma clients to drive efficiency and accelerate time to market, whilst controlling the risks.

Intelligent Health 2024 returns to Basel, Switzerland on 11th–12th September. We’ve got prominent speakers. An extensive programme. Groundbreaking advancements in #HealthTech. And much, much more. Our incredible 2024 programme will dive deeper than ever before. From sharing the latest innovation insights to exploring use cases of AI application in clinical settings from around the world. All through our industry-renowned talks, limitless networking opportunities, and much-loved, hands-on workshops. Read on to discover what themes await at the world’s largest AI and healthcare summit. 

We sat down with Margrietha H. (Greet) Vink, Erasmus MC’s Director of Research Development Office and Smart Health Tech Center, to ask her for her thoughts on the future of AI in healthcare.   Do you think the increased usage of Generative AI and LLMs will have a dramatic impact on the healthcare industry and, if so, how?   The integration of Generative AI and LLMs into the healthcare industry holds the potential to revolutionise various aspects of patient care, from diagnostics and treatment to administrative tasks and drug development. However, this transformation will require careful consideration of ethical, legal, and practical challenges to ensure that the benefits are realised in a responsible and equitable manner.