Objective (Smart Hospitals)

Smart Hospitals are defined as those institutions that seek to automate and optimize processes using new technologies such as Big Data, IoT, Analytics and Machine Learning, with the aim not only of providing better medical care to patients, but also optimizing processes that make hospitals more efficient and sustainable organizations.

Need

Due to an aging population and increased patient demand for new services, technologies healthcare has to be transformed in order to keep it available and accessible. To cope with this challenge, healthcare managers and professionals have been looking for new methods of resource utilization and optimization to potentially apply to health care.

The below are the some of the services where automation helps for the hospitals

Applications

Faster Data Retrieval: Data generation is a critical aspect of health care. EHR machines are now being improved to generate data in real-time. This will ease the data extraction process and improve patient care. Besides, health practitioners will easily access the required information when needed

Improved Ordering: The ordering process is challenging and time-consuming. With an EHR machine, it takes multiple clicks to complete a single order. However, predictive AI technologies can significantly promote efficiency in the ordering process.
Quicker Billing: The use of AI in revenue applications can help regenerate bills quicker. Additionally, this saves time when presenting bills to patients, hence improved customer satisfaction.

Improved Patient Participation & Management: Nowadays, most patients use mobile apps for increased engagement. Service mobile apps ease the management of patient care. They make it easier to book appointments, check patient history, and pay hospital bills.
Minimal Errors: Simple mistakes in health care provision can be costly. Physicians are bound to commit mistakes due to fatigue and inattentiveness. However, this isn’t the case with automated machines. Health care providers can use electronic systems to offer timely and efficient services. A computerized platform is more streamlined and leaves no room for blunders

Enhanced Communication: Automation in healthcare enhances communication between patients and health providers. For instance, most patients forget appointment dates and end up missing their appointments. However, with an appointment reminder, the number of patients missing appointments is reduced

Early Disease Detection: Early detection profits patients in various ways. It allows for early treatment, which hinders disease progression. With technological advances like AI in healthcare, it’s easier to determine if a patient has a particular disease. In most cases, this happens before the appearance of the symptoms. For instance, the neural network can detect lung cancer in the early stages

Speed & Precision in Medical Diagnostics Time is very critical in diagnosis, especially ones with serious illnesses. Delayed diagnosis puts the patient at a higher risk of getting worse or succumbing to the disease. By trying to expedite the process, health workers can easily make blunders resulting in inaccurate results. However, the automated diagnostic process delivers speedy and more precise results.

Provision of Quality Care Automation empowers health providers to offer better services. These include; increased efficiency, better patient management, and retrieval of patients’ data. Patient information is always available when needed, and this simplifies care processes

 

 

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How Does Automation Help Healthcare Services?

Venugopal Manneni


A doctor in statistics from Osmania University. I have been working in the fields of Analytics and research for the last 15 years. My expertise is to architecting the solutions for the data driven problems using statistical methods, Machine Learning and deep learning algorithms for both structured and unstructured data. In these fields I’ve also published papers. I love to play cricket and badminton.


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