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Cloud computing is a flexible solution that allows hospitals to leverage a network of remotely accessible servers where they can store large volumes of data in a secure environment. The use of the cloud in healthcare improves services for patients, easily shares information, improves operational efficiency, and streamlines costs. Cloud computing makes it possible for hospitals to file and access electronic health records at the push of a button without the need for physical documents. Utilising the cloud increases the efficiency of the healthcare industry, while also decreasing costs.
The healthcare cloud computing market size is expected to grow from USD 44,152.19 million in 2023 to USD 75,409.85 million by 2028, at a CAGR of 11.30 per cent during the forecast period (2023-2028).
There are several ways in which Cloud Computing can transform hospitals such as:
Telehealth: Cloud computing enables hospitals to offer telehealth services, which are the delivery of health care, health education, and health information through remote technologies. Telehealth can improve access to care, especially for rural and underserved populations, reduce costs, increase patient satisfaction, and prevent unnecessary hospitalisations.
Data Analytics: Cloud computing facilitates data analytics in healthcare, which is the process of collecting, processing, and interpreting large amounts of health-related data to generate insights and support decision-making.
Patient Flow: Cloud computing improves patient flow in hospitals, which is the movement of patients from admission to discharge. Patient flow can affect the quality of care, patient satisfaction, staff productivity, and hospital revenue.
Staffing, Scheduling, and Supply Chain Management: Cloud computing streamlines staffing, scheduling, and supply chain management in hospitals, which are the processes of planning, organising, and managing the human and material resources needed to deliver health care services.
Artificial Intelligence transforming Hospitals
Artificial Intelligence (AI) is being introduced in the healthcare industry to combat many issues in the field. AI in hospitals can help ease hospital patient flow, help develop pharmaceutical drugs, keep and analyse data and patient records, and even help diagnose illnesses like cancer. AI is playing a key role in clinical decision support as it delivers data to providers to aid in diagnosing, treatment planning and population health management.
AI has the potential to transform how healthcare is delivered. It can lead to better care outcomes and improve the productivity and efficiency of care delivery. It can also improve the day-to-day life of healthcare practitioners, letting them spend more time looking after patients and in so doing, raise staff morale and improve retention. It can even get life-saving treatments to market faster.
There are several ways in which AI can transform hospitals such as:
Clinical Decision Support: AI can provide clinical decision support by delivering data to providers to aid in diagnosing, treatment planning and population health management. For example, AI can help doctors identify patients who are at risk of developing a certain condition and recommend preventive measures
Patient Flow: AI can help ease hospital patient flow by predicting which patients are likely to be admitted or discharged on a given day. This can help hospitals manage their resources more efficiently and reduce wait times for patients
Drug Development: AI can help develop pharmaceutical drugs by analysing large amounts of data from clinical trials. This can help researchers identify new drug targets and design more effective treatments
Data Analysis: AI can keep and analyse data and patient records which can help identify patterns that may not be visible to humans. For example, AI can help doctors identify patients who are at risk of developing a certain condition and recommend preventive measures
Diagnosis: AI can help diagnose illnesses like cancer by analysing medical images. For example, AI can analyse mammograms to detect breast cancer earlier than traditional methods
Predictive Analytics: The application of AI-enabled predictive analytics is already helping to save lives in intensive care units. For example, AI can predict which patients are at risk of developing sepsis and alert doctors so they can intervene early.
IoT transforming Hospitals
The Internet of Things (IoT) is playing a very critical role w.r.t. improving efficiency of the healthcare industry (including hospitals) by providing real-time monitoring, better patient care, and more efficient work. IoT devices and technologies can automate record-keeping, enable real-time data sharing, and facilitate seamless collaboration among care teams. IoT technology can be used for sending automatic reminders about taking medications, health check-ups, and appointments with mobile applications. Connected IoT hospitals are about getting advanced data, enhanced patient treatment, cost savings, and workflow automation
Here are some ways IoT can transform hospitals:
Real-time monitoring of patients’ health conditions: IoT devices can be used to monitor patients’ health conditions in real-time. This can help doctors and nurses detect any changes in the patient’s condition and take appropriate action quickly
Personalised treatments: IoT devices can be used to collect data on patients’ health conditions and provide personalised treatments based on that data. This can help doctors and nurses provide more effective treatments that are tailored to the patient’s specific needs
Better monitoring of patients: IoT devices can be used to monitor patients’ vital signs, such as heart rate and blood pressure, in real-time. This can help doctors and nurses detect any changes in the patient’s condition and take appropriate action quickly
More efficient work: IoT devices can automate record-keeping, enable real-time data sharing, and facilitate seamless collaboration among care teams. This can help doctors and nurses work more efficiently and provide better patient care
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