Healthgrate: enabling healthcare solutions that seek to provide interconnected & integrated ecosystems, as well as devices & technology within & for the healthcare ecosystem: healthcare solutions that seek to fulfill the requirement for seamless connection & integration between actors in healthcare: hospital, patient, doctor, pharmacy, laboratory, pharmacy. Including a patient management system.
In the near future, you might have to visit your doctor with a smart health card in India. We implement advanced technology & devices, to be used as operational infrastructure & environments within hospitals. Our suite of products ranges from proprietary smart devices, to systems HIS, kiosks, tele ICU devices, and specific solutions to hospitals.
Healthgrate: The cohesive healthcare ecosystem.
What is Machine learning? Machine learning is the field within computer science & technology that seeks to develop, provide, study, synthesis, test, regulate the ability for computer programs & software to mimic, simulate, replace & even perform cognitive processes such as learning, adapting & creating new information, knowledge & creations, insights, information, via inputs of data.
What is data analytics? Data analytics refers to the field within computer science, technology that utilizes a broad spectrum of fields, knowledge, software & computer science principles to extract, provide raw insight & information, including visual representations like charts, graphs, from raw, structured or unstructured data. Electronic medical record systems are greatly modified, enhanced via implementation of data analytics towards their repository.
Healthgrate uses Machine learning in healthcare to provide predictive capabilities, prevention of potential diseases, effective treatment & possibility to provide research output. At Healthgrate, our devices create a smart ecosystem within hospitals, including our provision of the smart hospital kiosk machine.
Big data analytics: can data analytics & machine learning prevent the next pandemic? Saving innumerable lives & costs? Public health trends: machine learning & data analytics have found application there.
Healthgrate: Healthcare technology for a sustainable society.
Machine learning, big data analytics modules within the hospital information system framework enables individuals and staff working within hospitals, to improve their systems, eliminating weaknesses or providing fuller pictures of their operations, business costs, profits, revenues, due to enabling a situation where the record keeping situation is better off.
Machine learning for predictions: Machine learning & big data analysis, combine to enable the analysis of data, towards understanding Big data and information systems to improve healthcare processes:
Machine learning for diagnosis: Machine learning can provide diagnosis for medical conditions.
Big data for diagnosis, interaction: Big data for research, record keeping:
Machine learning for risks & timely intervention:
– Improved quality of healthcare provision: Through seamless connectivity with HIS systems, there is a remarkable improvement in the quality of not only the supply chain, inventory management, but also in general of the provision of service.
– Improved delivery of healthcare processes: Through incorporating smart technology & devices, legacy processes, procedures & even interactions can be greatly eliminated within hospitals. There can be a centralized HIS (healthcare information system) and automation in order to enable interaction, direct processes between patient, doctor, clinic, pharmacy & laboratory.
– Better data & patient information record/retention & redundancy:
– Higher efficiency: Through increased & streamlined processes within hospitals, and process delivery, management and integration.
– Greater work output via automated processes & automation in operations, processes: Several processes can be automated in real-time, such as notifications, reminders, alerts, and inventory & supply chain notifications, triggers, end points. That can result in bulk or a majority of work being automated, and increase output, that was previously relegated & requiring the functioning & work of staff at the hospital.
– Predictive capability towards disease prevention: One of the hallmarks of machine learning is the ability to deduce effective trends & patterns from data, yield conclusions that can enable prevention as they are an effective forecast. Machine learning and data analysis, on an individual or patient’s health records, can enable and deduce, provide raw insights towards disease prevention.
– Large scale monitoring capability for hospitals: Via incorporation of smart technology & a smart ecosystem, machine learning and data analytics can enable large scale monitoring capability for hospitals, even providing extreme precision on the operations and patients, that are not usually seen before in legacy systems. At Healthgrate, large scale monitoring & data capability is also used for TPA services for hospitals.
– Greater & improved Supply chain management, use: Inventory management can be supplemented via utilization of smart technology to keep track, and automate & relegate the monitoring of supplies, inputs, medicines, devices & operational history towards smart systems, that can effectively manage supply chains on time.
– Access to IOT infrastructure: Enables access to Internet of things infrastructure. The IOT space is growing and the number of IOT enabled devices are projected to be in the billions. As developments within the space are currently underway, there can be several benefits. Within the healthcare ecosystem there are already IOT devices: bands, glucose patches, smartwatches that track heart rates, RBC counts, & BP (blood pressure). Physicians, hospitals are effectively able to utilize IOT to track, predict, understand patient’s conditions better.
– Large scale data processing: Machine learning and data analytics enable large scale data processing.
– Possible access to novel research, technology & knowledge, healthcare therapies: Via connection to HIS, and IOT platforms, as well as possible submissions to be made to the better interconnected healthcare ecosystem, hospitals are able to exploit better access to information, research, therapies, knowledge & technology.
– Business intelligence: Data analytics & machine learning are utilized to develop models, and provide analyses for business performance. These models and insights, that are extracted through data analysis & machine learning, within the healthcare ecosystem are then applied towards business intelligence. Business intelligence is the utilization of analysis towards businesses, and transform it to insights they can act upon for business decision making.
At Healthgrate, there is real potential towards transformation of healthcare and the future of health within India, through our vision of seamless connectivity, interconnected and integrated health ecosystems & interaction between actors/entities. Utilizing data analytics & machine learning within our device technology, medical systems and medical devices, enables connectivity, adaptability, research & knowledge retention.