MSC-HA-SMART HOSP .. IPNew Microsoft Office PowerPoint Presentation.pptx

IT EXPLAINS ABOUT THE SMART HOSPITAL SYSTEMS AND ITS ADVANTAGES.

1. SMART HOSPITAL

2. Smart hospitals represent the holistic (perhaps even the ultimate) embodiment of s tools, encompassing AI, process automation, VR, healthcare data governance and analytics, the internet of things ( IoT ), and all related high-tech solutions driving digital transformation in the healthcare sector.

3. Traditionally, hospital care has been very labor intensive. Smart hospitals rely much more heavily on a range of devices to upgrade operations and automate workflows, which significantly boosts the overall productivity and accuracy of hospital care.

4. Radiofrequency identification (RFID), bar codes, and other new sensing technologies are used to optimize internal asset management and ensure that all people and materials can be identified, tracked, and traced in real time.

5. Automated procedures and devices replace certain human activities in a range of care settings, freeing up the staff to spend more time on direct patient care. Automation is also used to improve the efficiency of many back-office and front-office processes.

6. Web-based tracking of all patient services, electronic capacity allocation, and digital patient record management further improve the efficiency of hospital operations.

7. Leading hospitals in many parts of the world are already demonstrating what automation can accomplish. Humber River Hospital in Canada, for instance, is using robots and other digital technologies to allow the clinical staff to spend more time with patients, introduce other improvements in clinical care, and automate almost 80 percent of its back-of-the-hospital services, such as pharmacy, laundry, and food delivery. The result has been huge productivity gains and higher-quality care delivery.

8. Upon arrival at the hospital, the patient can verify his/her identity with an ID card, fingerprint, or facial recognition. The IT system greets the patient and performs automated triage, noting in the record the type of insurance the patient has. The system then explains to the patient where he/she should go next, what examinations will be performed, and what instructions need to be followed. Once the exams are completed, the system automatically delivers the results to the patient.

9. After the treatment has been administered, all of the patient’s data can be aggregated on a cloud platform so that a report on current treatment can be generated. The patient can check the results at any time using a mobile device.

10. The device also sends the patient reminders about medication adherence and notifications about upcoming care, rehabilitation services, and insurance matters. The hospital also uses a telehealth platform to regularly assess the progress of the patient’s recovery and provide consultations as needed.

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13. Enhancing clinical processes The typical workflow in any hospital presents complex, problematic and unexpected enough situations to inspire another twenty seasons of ER . Every day, doctors and nurses face unpredictable events while dealing with a general lack of clinical process standardization and coordination among different departments. This results in inefficiencies, bottlenecks, delays, and, last but not least, an increase in the costs incurred by the healthcare system.

14. Improve treatment cycle monitoring by automatically extracting patient data and storing it in clinical databases via RPA bots for future reference. This procedure can significantly speed up and streamline the work of physicians when diagnosing, selecting proper therapies, and assisting patients during the post-discharge phase.

15. IN PATIENT FOLLOW UP.. software, deployed to assist clinicians in planning and managing this long-term care pathway, has ensured a 60% reduction in the amount of time and resources devoted to management and administrative purposes, allowing doctors and nurses to focus on patient care activities. PATIENT FOLLOW UP…

16. Streamlining administrative tasks software results in a lower rate of human errors, fewer delays, less stress for the staff, and an improved patient experience. 1. Assist employees in payment processing and billing procedures by automatically extracting patient information from hospital databases and re-inserting it in standardized forms to generate invoices.

17. 2. Speed up maintenance processes by autonomously triggering a request for specialist intervention in case of failures in the hospital systems 3. Improve medical equipment procurement by streamlining hospital inventory management via RFID asset tracking tools or other devices belonging to the internet of medical things and automating restocking procedures if the stocks fall below a certain threshold.

18. Streamline patient scheduling with an integrated online booking system that may also send pre-appointment reminders and flag any applications in case of missing data.

19. Data-driven medical care : Another staple of smart hospitals is physicians' experience and intuition complemented with solid data analytics solutions for more efficient risk identification and diagnostics. This requires collecting patient data from their EHRs or via wearables and processing it with machine learning-powered analytical systems to better understand their conditions.

20. Within hospitals, patients and the staff engaged in direct patient care use interactive equipment (e.g., wearables ) to enable real-time data collection, tracking, and transmission. In addition, clinical staff members are able to access the data through mobile devices to allow for more efficient clinical operations. Sydney Adventist Hospital in Australia, for instance, has transformed itself into a digital hospital with its own electronic medical record system, virtualized data centers that collect and centralize information, and mobile apps that allow the clinical staff and patients to access data within seconds.

21. VIRUTUAL HOSPITAL A virtual hospital is a full-scale digital hospital providing various medical services online and enabling patients to avoid the stress and burden of traveling to a distant brick-and-mortar facility. VH increases healthcare accessibility, helping people with limited access to medical care.

22. A consistent effort to improve treatment accuracy with robotics and analytics and therefore minimize the possibility of misdiagnosis or even healthcare-related infections.

23. Data governance According to The American Health Information Management Association and other reputable sources, quality healthcare data should be: Accurate, or up to date and free of errors Consistent, with elements coming from the same source formatted in the same way Reliable, or coming from verified sources Comprehensive, with all required elements clearly defined and present Precise, or having the proper level of details and collected in a particular format Relevant to the purpose it was collected for

24. Benefits of data governance in healthcare

25. Enhanced communication across departments One of the major problems in the healthcare industry is data silos. Patients are forced to provide their information again and again during visits to different specialists, for this data to never leave a particular doctor’s office. This established practice is not only tiresome but also increases the risk of typos, errors, and information misplacements. What is more, it wastes the time of medical professionals that could’ve been dedicated to their patients. 

26. Data standardization, which is an integral part of the data governance framework, can solve this problem. It implies a set of rules defining how data should be collected and from what sources, which makes it suitable for sharing between departments and healthcare organizations. That is why the Office of the National Coordinator for Health Information Technology (ONC) has set the requirements for structured health information used for care workflows within and between institutions.

27. Chatbots : These represent a (very talkative) embodiment of AI strictly related to the previous point, as they leverage healthcare-specific NLP and machine learning algorithms to mimic human communication and interact with clinical staff and patients. Chatbots and virtual assistants can support smart hospitals' employees in performing several tasks (Providence St. Joseph Health in Seattle uses them to streamline call center routing) or provide non-stop care to patients in need (such as the virtual nurse Molly, deployed by the British NHS to monitor and assist people with chronic diseases).

28. nursing intersects with socially and artificially intelligent robotics in the daily processes of caring for patients and families, really investigating how this kind of technology can help nurses focus more on the direct needs of our patients by alleviating the more routine, non-clinical duties of caregivers,” .

29. “Nurses and other caregivers want to spend more time with their patients and on high value work that improve outcomes at the end of the day.,future today will be to create a path forward for caregivers and robots working side by side in a human environment,”.

30. Less paperwork with RPA RPA (robotic process automation) bots might be less chatty than the aforementioned robots. However, they have still proved extremely useful in a smart hospital setting, as they can be programmed to replicate (or even learn by themselves, when powered by AI) human interactions with software applications and therefore replace or assist the clinical staff in a broad range of time-consuming clerical duties. The applications of RPA in healthcare include patient appointment scheduling, medical records updating, self-service triage, claims management, and more.

31. Max Healthcare, a major clinical network in North India, deployed this technology in its 14 hospitals to speed up claims processing and data reconciliation, leading to 50% reduction in turnaround time. Their RPA solution can gather data from emails and PDF files, turn it into CSV format, and enter it into their databases.

32. Smart hospitals rely on machine learning algorithms, specifically on their pattern recognition and anomaly detection capabilities, to constantly oversee both patients' health conditions and medical equipment's operation, identify risk factors, and prescribe fully personalized therapies or targeted interventions. The medical datasets required to fuel such algorithms can come from several sources, including EHRs previously stored in the hospital databases, lab tests, PGHD (patient-generated health data), and health wearables , previously collected and processed with a data lake or a data fabric solution.

33. Health wearables equipped with sensors, GPS asthma inhalers, video conferencing tools, or even smartphones with mobile health apps can easily collect clinical data and patient feedback, allowing smart hospitals to provide remote patient monitoring and consulting 24/7 - both within their facilities and outside their standard geographic reach.

34. Smart hospitals: principles and tech trends of tomorrow’s healthcare…