Health Care

To Detect Disease using AR:
Have you ever been in a situation when it was hard to describe to the doctor what was bothering you? It impacts on finding out the accurate diagnosis. To increase awareness, create a model that uses augmented reality to show the simulation of the vision, harmed by the different disease. It helps patients to understand their conditions and describe their symptoms correctly
Prevent Service Level Agreement:
SLAs helps set and manage business expectations and if these expectations are not met there is a penalty for non-compliance that is expensive. To avoid these fines IT organisations often look towards automation software for improving internal processes and service levels. Many organisations could benefit off automation for advance monitoring and alerting capabilities for SLAs breach
To enable hands on training for surgery using VR Hands:
The use of virtual reality livestream of a surgery earlier is via a series of virtual experiences recorded from the perspective of a consultant surgeon in an actual operating theatre. Devise a model to enable the use of Virtual Reality in Surgery.
To promote Remote Surgery using Virtual Reality Remote Surgery (VR):
With virtual reality, the greatest surgical specialists can treat patients all over the world, without ever stepping onto a plane. Virtual reality offers the opportunity to make this type of remote surgery even more effective. With VR a surgeon could virtually transport themselves to an operating room thousands of miles away, able to use their natural skills and senses to save lives. Devise mechanisms to turn the vision into reality.
VR In Exposure Therapy and Treatment of Anxiety Disorders:
A trained therapist controls the emotional stimuli and monitors their stress responses. Patient Recovery and Wellness using VR Many of these applications will benefit from the ongoing research in biofeedback monitoring. A highly innovative VR platform to map and respond to brain activity for applications in healthcare. VR is exploring ways to expand the effectiveness of using VR in therapy. A rehabilitation software motivates patients to perform specific movements, using games, movies, and 360 degrees interactive guides.
Come up with concept that bring in advancement in Surgical Process using AR:
It has always seemed counterintuitive that surgeons must look away from the actual surgical site, in order to look at the monitor, especially during high-risk procedures where there is a greater chance of something going wrong than anything going right. AR applications enable medical professionals to recreate real-world images of anatomical structures virtually, an image they can then project onto the surgical site in real-time using the HMD technology. Essentially this is a form of data visualization a high-resolution projection of patient vitals and other relevant information that the surgeon would normally have to divert attention to obtain.
Devise models to enable treatment of Psychological disorders using AR/VR.
Treatment of Diseases using AR/VR:
AR/VR are unique technologies as they offer an immersive experience of any scenario to a user. It can be used to easily simulate real-life environments and scenarios and can be used to judge a person’s sensitivity towards those conditions. Diseases like PTSD can be prevented using these technologies.
ASMR using AR/VR:
Doctors face a lot of difficulty at times to control patients (specially small children) during certain procedures because of the patients being to scared and anxious during the treatment. By using techniques such as ASMR and by creating meditative scenarios, the efficiency of pain killers/ anaesthesia can be greatly increased if combined with AR/VR devices.
To get the trigger response of the patients using AR/VR:
There are certain physical/situation-based triggers which are noticed often in addicts and certain patients with mental conditions. Using the data of the common scenarios of the previously handled patients, participants can create a device using VR/AR , to help the doctor/expert to simulate those exact situations to trigger the patients response for the purpose of researching/explaining/faster recovery.
Optimizing Clinical Trials using Machine Learning:
There have been several calls for machine learning technologies to be more closely involved in clinical research trials as they could provide several benefits including identifying ideal candidate groups based on factors such as genetics. Devise a suitable concept to implement it.
Diagnosis of Facial dysmorphic features using ML:
Diagnosis of facial dysmorphic features (ML) Facial recognition software is being combined with machine learning to help clinicians diagnose rare diseases (in this case, from facial dysmorphic features). Patient photos are analysed using facial analysis and deep learning to detect phenotypes that correlate with rare genetic diseases.
Detect the slightest change in the persons health using data analytics:
Using wearables data to monitor and prevent health problems. The amount of data that the human body generates daily equals two terabytes. Due to advances in technology, we can now collect most of it, including info about heart rate, sleep patterns, blood glucose, stress levels and even brain activity. Equipped with such amount of health data, scientists are pushing the boundaries in health monitoring. Machine learning algorithms can be used to detect and track more common conditions, like heart or respiratory diseases.
Enabling preventive/predictive maintenance:
Predictive maintenance employs monitoring and prediction modelling for determining the condition of the machine and for predicting what is likely to fail and when it is going to happen.
Drug Creation using AI:
Developing pharmaceuticals through clinical trials can take more than a decade and cost billions of dollars. Making this process faster and cheaper could change the world. For this an AI powered program can be created which scans existing medicines that could be redesigned to fight the disease.
AI assisted robotic surgery:
A form of AI-assisted robotics can analyse data from pre-op medical records to physically guide the surgeons instrument in real-time during a procedure. It can also use data from actual surgical experiences to inform new surgical techniques. Cognitive surgical robotics combines information from actual surgical experiences to improve surgical techniques. In this type of procedure, medical teams integrate the data from pre-op medical records with real-time operating metrics to improve surgical outcomes. The technique enhances the physicians instrument precision and can lead to a 21 percent reduction in a patient’s length of hospital stay post-operation.
Healthcare Identity Management:
The AI technology is interoperable with existing computer systems for healthcare providers. One of its main functions is navigating EHRs, as it can transfer patient data, audit data retrieval, process medical bills, automate insurance data, process claims, enter eligibility checks, and report analytics.
Administrative Workflow Assistance using AI:
AI-powered solutions that rely on machine learning help health care providers cut documentation time and improve reporting quality. Computer-assisted physician documentation (CAPD) like this offers real-time clinical documentation guidance that helps providers ensure their patients receive an accurate clinical history and consistent recommendations.
Medical Error Prevention Using AI:
AI can prevent medical errors by offering both clinical decision support during critical medical events as well as documenting those events electronically in real time.
Body Sensor Networks using Data Analysis:
In order to monitor various purposes like vital signs, gait patterns, balance and fall, daily activities etc. or sensing, communicating and processing various physiological parameters, body sensor networks can be used in the soldiers deployed in extreme weather conditions or during war situations. The data generated by this may help in designing healthy diet chart or prescriptive medical help for them which will increase their survival rate in these radical conditions.
Shift Management using Data Analysis:
One of the ways big data/data analytics can be used in healthcare is when we will look at one classic problem that any shift manager faces: how many people do I put on staff at any given time period? If you put on too many workers, you run the risk of having unnecessary labour costs add up. Too few workers, you can have poor customer service outcomes which can be fatal for patients in that industry.
Monitoring Patient’s health using IoT:
IoT is a very powerful technology for monitoring several parameters. Body parameters can also be measured using IoT to provide better, precise and timely diagnosis of diseases which could have large impact on the health industry. The data collected can be stored and retrieved to maintain the patient history.
Electronic Health Record Using IoT:
An electronic health record (EHR) is a digital version of a patient’s paper chart. EHRs are real-time, patient-centred records that make information available instantly and securely to authorized users. While an EHR does contain the medical and treatment histories of patients, an EHR system is built to go beyond standard clinical data collected in a provider’s office and can be inclusive of a broader view of a patient’s care.
Decentralization of Hospitals Using IoT:
IoT can decentralize the otherwise specific hi-tech constituencies in the healthcare domain. Conventionally, ICUs, labs, radio diagnostics and operation theatres were the adopters of advanced technologies, including those enabled through ICT. With IoT, the healthcare sector can connect the dots by erasing the boundaries of a hospital or clinic and create a real-time continuous interface between doctors, patients and other important stakeholders of the healthcare infrastructure.
Transit Management using IoT:
In case of sensitive medicines and vaccines, it becomes essential to monitor the ambient temperature of a container carrying them. Sensors can offer real-time monitoring of cases and containers and report instances of unfavourable modification of ambient environment. Transmitted data logged can be analysed to gain all kinds of insights leading to safer transport of drugs. Also, it can help to prepare a system to maintain the exact temperature of the system without any variability.
Providing telemedical facilities(cloud computing & HealthCare):
Providing health care from a distance has always been a challenge in the healthcare industry. Through the Cloud, doctors and patients can initiate virtual sessions, which enable the use of enhanced patient care services. Users can share, view, and store their records in the Cloud, while doctors can archive and access them remotely as well. By placing documents in the Cloud, different healthcare centres can access patient data with the press of a button, without having to bother about endless paperwork and delayed treatment issues.
Protection of Data driven healthcare system:
A data driven healthcare system is prone to several security breaches. Protection of such a system is of great importance to organisations. The security can be achieved using Cloud Computing by adopting token-based axis control or data encryption or many of the methods. Design a system to increase the security and efficiency of a data driven healthcare system.
Better and Responsive healthcare using Cloud Computing:
Better and a responsive healthcare using Cloud Computing Collaboration is vital to the healthcare industry, which makes the cloud a perfect companion in the field. By allowing professionals to store and access data remotely, healthcare professionals around the world can gain access to patient data immediately and apply the necessary care without a delay. In addition to this, remote conferencing, up-to-the-second updates on healthcare developments and patient conditions, and more, is allowing doctors to save those precious life-saving minutes.
Real Time Guidance Platform:
When disaster strikes, getting the necessary professionals to the places they need to be or giving the present doctors the information, they need is a difficult task. Being able to consult with one another, send requests for additional resources or manpower, or simply keeping each other updated on the status of a disaster victims’ condition can be the difference between a life lost or saved. An on-site doctor with very little experience in surgery can now have real-time guidance from an expert to perform a field surgery, for example, with all the present medical equipment transmitting real-time information from one source to the next to ensure the best work is done.
Improved Patient Care Services using Cloud Platform:
Patients can benefit immensely, as different health services are moved from a physical environment to a digital environment. Through the Cloud, doctors and patients can initiate virtual sessions, which enable the use of enhanced patient care services. Users can share, view, and store their records in the Cloud, while doctors can archive and access them remotely as well. By placing documents in the Cloud, different healthcare centres can access patient data with the press of a button, without having to bother about endless paperwork and delayed treatment issues.
Freeing up Essential Resources using Cloud Platform:
The Cloud has been aligned to provide exceptional support in operational, administrative, and HR functions. It can ensure an outstanding quality of services when it comes to scheduling, referrals, sourcing files, inventory management, as well as perform many other types of behind the back actions. All this can be achieved at relatively low costs, which makes the process even more efficient and lucrative for the end users. In other words, using the Cloud, health institutes can expect better resource allocation, at a fraction of the cost.
Access to healthcare using Cloud Platform:
In remote parts of the country and for patients with busy schedules, accessing healthcare is a major issue. Telehealth or virtual care solutions are gaining popularity, with some states modifying laws to accelerate adoption and address this problem.
Medication adherence using Cloud Platform:
Patients not following the drug regimen prescribed by the doctor, results in avoidable readmissions to the hospital costing the U.S. healthcare system $290 billion annually. Market for products that remind the patient when it is time to take the medicine, keep a log and automatically order refills is expanding at a rapid pace.
Drug theft and counterfeiting using Cloud Platform:
Theft, counterfeiting, selling expired medicine are some of the problems which can be controlled by monitoring the supply chain. Recently, government has passed the Drug Supply Chain Security Act (DSCSA) which will require all the stakeholders in the pharmaceutical supply chain to monitor and report status on drugs during transportation. This has opened a market for solutions which monitor and log supply chain events in realtime and report suspicious events
Resource Efficiency:
Escalating cost of healthcare is always a hot topic among policy makers and no real solution has been implanted to date. One of the major factors adding to the cost of healthcare is inefficiency of resources like medical staff, equipment and easy access to patient resource pool for clinical studies. With the use of artificial intelligence in the healthcare environment, a doctor’s bandwidth can be stretched since data can be augmented with smart machine-based analytics for doctor to evaluate. For clinical trials or scientific studies, a social network-based approach can be used to gain access to a patient pool
Personal Medical data privacy:
Each healthcare organization maintaining their own medical records is a nightmare for data security and compliance to Health Insurance Portability and Accountability Act (HIPAA). Not to mention that it adds significant cost for organizations to maintain their own IT infrastructure and be liable for all the data directly. Using cloud-based solutions provides access to latest security technologies and reduces individual liability.
Each hospital or care provider using their own Electronic Health Record (EHR) system is not in favour of the consumer. Not only does it add cost to the healthcare system since each hospital has to maintain a different system but it also makes it more resistive for a patient to change care providers. In other words, the patient gets tied to a certain care provider and may not always get the optimum care which would be the case if they had easy access to their EHR in a standard format. Industry wide effort is going on to have one EHR or Personal Medical Record (PMR) tied to the patient so that they get the best care agnostic of the provider network . Provide Uniform medical records using cloud platform to provide patients with a personal medical record.