Applied Innovation

The Future of AR/VR Technology in Healthcare and Its Profound Benefits

Applied Innovation

The Future of AR/VR Technology in Healthcare and Its Profound Benefits

Virtual and augmented reality (VR/AR,), is fast changing the healthcare sector by improving patient care and tackling important issues. These technologies have a wide range of uses, from enhancing surgical techniques and medical education to supporting patient recovery and minimizing in-person visits.

Virtual and Augmented Reality in the Healthcare Industry

VR/AR in healthcare is expected to play a major role in the future of healthcare, as the market for this technology is expanding rapidly. Better patient outcomes, more accessibility to healthcare services, more patient satisfaction, better medical education, and support for medical research through artificial intelligence and machine learning are just a few advantages. These technologies have huge promise in the healthcare industry, offering more advancements in patient care and medical practice.

Global Healthcare VR/AR market

The market for augmented reality and virtual reality in healthcare was estimated to be worth USD 2.5 billion in 2022, and it is projected to increase at a CAGR of 18.8% between 2023 and 2030, according to some reports. Augmented reality (AR) and virtual reality (VR) technologies are expected to grow and be adopted in the healthcare industry due to a number of fundamental factors, including medical training, growing usage in surgical procedures, favorable government initiatives, rising healthcare expenditures, and technological advancements and digitalization in healthcare. There are several uses for these technologies in the medical field, including surgery, diagnosis, rehabilitation, teaching, and training.

Challenges in Medical Care System

Big obstacles including access restrictions, equipment availability, personnel shortages, and logistical difficulties are common in the healthcare industry. A viable approach to resolving these problems, meanwhile, is the combination of Virtual Reality (VR) and Augmented Reality (AR) technologies. Innovative answers to these ongoing healthcare problems are provided by these state-of-the-art technologies, which also enable hands-on training, promote immersive experiences, and give access to cutting-edge medical equipment. Because VR provides a safe setting for practical skill development, it is especially important in revolutionizing medical education. It includes a variety of situations, including emergency case studies, medical equipment usage instruction, and simulations for medical training. VR and AR have a lot of potential for the healthcare industry, and they might lead to better medical education and more efficient healthcare delivery in the future.

Some Use Cases of AR/VR in Medical Care:

The combination of virtual reality (VR) and augmented reality (AR) technology has created a revolutionary wave of innovation in the quickly changing healthcare industry. AR and VR are gaining traction in a number of exciting application cases that are transforming healthcare delivery and revolutionizing medical treatment.

VR Solutions for Surgeons:

Virtual reality (VR) technologies provide surgeons with a useful platform for improving their abilities. These technologies include virtual reality software that lets surgeons practice safe mock procedures in a controlled setting, which promotes skill development. Haptic controls further enhance the experience by assisting users in virtual operations, providing tactile feedback, and improving surgical proficiency. This creative method helps surgeons enhance both their technical proficiency and patient comprehension, which eventually results in more accurate and efficient surgical treatments.

VR in Medical Education:

Virtual reality (VR) technology has completely changed the medical education landscape by giving students access to immersive learning environments. It gives users the chance to interact with AI-controlled virtual patients and interact in great detail with 3D medical models, imitating real-world medical events. This results in a more comprehensive and successful approach to medical education by improving their medical social skills in addition to their mastery of anatomy. Virtual reality (VR) has developed into a vital tool for streamlining the educational process and providing students with an engaging and dynamic environment to hone their medical knowledge and self-assurance.

VR for Physical Therapy:

Virtual reality technology is essential to orthopaedics and injury rehabilitation because it increases patient access, especially for those with mobility problems. Patients can have very effective and entertaining rehabilitation excursions using VR systems. These systems provide patients with training modules that help them regain their mobility and independence by demonstrating to them how to utilise assistive equipment properly. Additionally, AI-powered monitoring guarantees that patients receive constant, individualised care, streamlining the healing process and customising it to meet their individual requirements. Virtual reality (VR) has become a game-changing tool in the field of healthcare, supporting people’s freedom and well-being as they progress towards recovery.

AR Solution for Surgery Assistance:

Augmented reality (AR) has accelerated the development of robotic-assisted surgery by increasing safety and precision during medical procedures. A surgeon can see essential information and instant instruction by having critical patient data overlaid directly into their field of view through the use of augmented reality (AR) technology. Through enhanced decision-making abilities, this integration facilitates surgeons in performing safer and more precise procedures. Furthermore, by extending its benefits to surgical planning, AR contributes to the development of more effective procedural approaches. Through improving physician performance and raising the bar for patient care overall, augmented reality (AR) is proving its disruptive potential in the medical sector.

VR for Rehabilitation:

Virtual reality (VR) technology is transforming the field of rehabilitation and making it more active and interesting for patients. Patients are now more committed to the rehabilitation process because they can measure their progress, set objectives, and get rewards—all of which are aspects of gamification. The addition of AI teachers, who provide patients with highly customised and adaptable rehabilitation programmes catered to their individual requirements, strengthens this strategy even further. Virtual reality (VR) has the potential to change the way patients approach their recovery by making it an interactive, goal-oriented, and personally designed trip that will eventually provide more effective and satisfying results.

Future of AR/VR Technology in Healthcare:

AR and VR technology in healthcare has a bright future ahead of it, with a plethora of uses that might completely change the sector. The possibilities are endless, ranging from helping to operate robotic gadgets to developing immersive therapy programmes. By using augmented reality overlays, surgeons may obtain vital patient data instantly, improving surgery accuracy and safety. Regarding rehabilitation, virtual reality (VR) makes physical treatment fun and game-like, inspiring patients with objectives and successes. The use of AR and VR in healthcare is poised to transform patient care and medical treatment via ongoing improvements, offering a more effective and patient-centered healthcare environment.

Advantages of AR/VR for the Healthcare Industry

Numerous advantages result from the use of AR and VR technology in the healthcare industry, which redefines patient care and medical practise. Immersion simulations are a terrific way to improve medical education since they let professionals practise difficult operations in a safe virtual setting. Because medical personnel are more knowledgeable and experienced, patients receive better results as a consequence. Additionally, patients now have additional options for receiving remote treatment and consultations thanks to AR/VR technology, which is particularly helpful in impoverished areas. These technologies improve patient satisfaction by lowering tension and anxiety, which enhances the whole patient experience.

AI and ML may be used to leverage the massive amounts of data produced by AR and VR systems for medical research. Large datasets may be analysed thanks to these technologies, which can result in novel discoveries, individualised treatment regimens, and advancements in diagnosis. In conclusion, AR and VR have the potential to revolutionise healthcare by fostering efficiency and creativity, raising the bar for medical research and enhancing patient outcomes, treatment quality, and overall experience.

Are you intrigued by the limitless possibilities that modern technologies offer?  Do you see the potential to revolutionize your business through innovative solutions?  If so, we invite you to join us on a journey of exploration and transformation!

Let’s collaborate on transformation. Reach out to us at now!

Applied Innovation

3D Digital Twins: The Key to a More Efficient, Safer, and Sustainable Future

Applied Innovation

3D Digital Twins: The Key to a More Efficient, Safer, and Sustainable Future

The idea of a 3D digital twin has arisen as a ground-breaking solution with broad ramifications in a society driven by technology and creativity. Imagine having a virtual counterpart that accurately captures data and replicates changes in the real environment in real time. A 3D digital twin is a technical marvel that is revolutionizing a wide range of industries, including manufacturing, healthcare, and energy.

Understanding 3D Digital Twins

A virtual depiction of a physical system or item that is continually updated with real-world data is known as a 3D digital twin. These inputs range widely, covering live video feeds, operational data, and sensor readings. The end result is a dynamic and accurate representation that gives decision-makers unprecedented access to their assets for interaction, analysis, and optimization.

Benefits that Go Beyond

The benefits of integrating 3D digital twins into different businesses are significant and varied, eventually fostering advancement and innovation on several fronts.

1. More Effective Decision-Making

The ability of 3D digital twins to simulate many scenarios and outcomes is one of its most remarkable advantages. Users obtain a greater grasp of how their assets or systems behave in various scenarios by simulating various scenarios. This knowledge improves judgment, enabling more intelligent decisions on how to use and manage assets effectively.

2. Lower Costs

Prevention is frequently more economical than problem-solving after the fact. With the help of 3D digital twins, companies can spot potential problems before they become major ones, which saves them a lot of money over the long term. Businesses may manage resources more efficiently and avoid costly downtime or repairs by anticipating and preventing issues.

3. Enhanced Effectiveness

Efficiency is mostly driven through optimization, and 3D digital twins provide a means of doing so. Organizations may optimize their processes and workflows to reduce waste, reorganize processes, and increase productivity. This increase in productivity might result in better overall performance and competitiveness.

4. Increased Security

Safety comes first in high-risk businesses. Workers may train in a controlled environment using 3D digital twins where they can become familiar with tools, processes, and possible risks. Employees can gain crucial skills while lowering the risk of accidents by practicing in a safe virtual environment.

Applications Across a Range of Industries

The integration of 3D digital twins across sectors, each with unique applications that rethink how processes are conceptualized and carried out, demonstrates the flexibility of this technology.

Design and testing transformation in manufacturing

3D digital twins are being used in manufacturing to develop, test, and create items with unmatched efficiency. To model the performance of jet engines before actual production starts, GE, for instance, uses 3D digital twins. The early identification and resolution of potential problems are made possible by this preventative strategy, which eventually leads to higher-quality goods and lower manufacturing costs.

Healthcare: Enhancing Precision and Care

3D digital twins are revolutionizing patient care and surgery planning in the healthcare industry. Using 3D digital twins, complex procedures are methodically planned at places like the Mayo Clinic, improving surgical success and lowering patient risks. These twins also help medical experts replicate the consequences of various therapies, promoting a more individualised and successful method of providing healthcare.

Energy: Providing Intelligent Management

3D digital twins are essential in the energy sector for monitoring and enhancing energy systems. This is demonstrated by the National Grid’s usage of 3D digital twins to manage the UK power grid. Monitoring electricity flow allows for the early detection and resolution of possible problems, reducing the likelihood of blackouts and assuring a steady supply of energy.

A Wide Range of Digital Twin Tools

There are four different sorts of digital twins, each of which is tailored to certain requirements and goals across diverse sectors.

Digital twins that are focused on certain portions or components of a larger system are called component or part twins. They make it possible to accurately track and evaluate the performance of individual parts.

Twins of an asset or product can help with resource management and optimization since they represent the full asset or product.

System or Unit Twins: These twins simulate complex systems, including manufacturing or power plants, allowing the simulation of behavior and performance.

Process Twins: Process Twins focus on streamlining particular workflows to improve the effectiveness of product production and service delivery.

Looking Forward: An Innovative Future

The potential for 3D digital twins to change industries is what is driving their widespread use. We should expect even more ground-breaking uses for digital twins as technology develops, driving companies toward increased productivity, sustainability, and safety.

The development of 3D digital twins is a shining example of human creativity and the ever-evolving capabilities of technology in the quest for a more interconnected and intelligent society. Industries may overcome obstacles, capture opportunities, and navigate the future with unheard-of knowledge and foresight by utilizing these virtual duplicates.

Quotients is a platform for industry, innovators, and investors to build a competitive edge in this age of disruption. We work with our partners to meet this challenge of the metamorphic shift that is taking place in the world of technology and businesses by focusing on key organizational quotients. Write to us for knowing more about innovative solutions.

Applied Innovation

On-Premise AI Solutions for Businesses: Balancing Control, Flexibility, and Investment

Applied Innovation

On-Premise AI Solutions for Businesses: Balancing Control, Flexibility, and Investment

In the rapidly evolving landscape of artificial intelligence (AI) technologies, businesses face the critical decision of choosing between on-premise and cloud-based AI solutions. On-premise AI solutions refer to applications that are installed and operated on the businesses’ own servers or computers, offering enhanced control over data, intellectual property, flexibility, and security. While the advantages of on-premise AI solutions are compelling, they come at a cost, requiring substantial upfront investment, ongoing maintenance, and expertise.

Some potential users of On-Premise AI Solutions

A fintech company that wants to offer 24/7 customer support via chat, email, and phone using AI agents that can handle queries related to payments, transactions, security, and more.

For a fintech company aiming to provide round-the-clock customer support, on-premise AI solutions can prove invaluable. By deploying AI agents on their own servers or computers, the company gains greater control over sensitive financial data while ensuring seamless customer interactions. The AI agents can handle a wide range of customer queries related to payments, transactions, account security, and more, offering prompt and accurate responses.

On-premise AI solutions enable the fintech company to customize the AI agents to align with their specific business requirements. The AI agents can be trained on vast datasets of financial information, allowing them to understand complex queries and provide tailored solutions. With real-time access to customer data stored on internal servers, the AI agents can offer personalized assistance, addressing individual customer concerns and providing relevant information about account balances, transaction histories, or security protocols.

Additionally, on-premise AI solutions ensure the security and confidentiality of customer data. As financial information is highly sensitive, the company can implement robust security measures and encryption protocols within its own network. By avoiding the use of external cloud platforms, the fintech company minimizes the risk of data breaches and unauthorized access.

An e-commerce company that wants to increase conversions and retention by using AI agents that can provide personalized product recommendations, upsell and cross-sell offers, and feedback collection.

For an e-commerce company aiming to enhance customer engagement and boost sales, on-premise AI solutions offer a powerful toolset. By utilizing AI agents installed on their own servers or computers, the company can leverage the benefits of personalized product recommendations, upselling, cross-selling, and efficient feedback collection.

On-premise AI solutions enable the e-commerce company to process vast amounts of customer data and analyze browsing patterns, purchase histories, and customer preferences within their secure internal environment. The AI agents can then utilize this information to deliver highly personalized product recommendations, suggesting items that align with individual customer tastes and interests. This level of customization significantly improves the customer experience, leading to increased conversions and customer satisfaction.

Moreover, on-premise AI solutions allow the e-commerce company to implement targeted upselling and cross-selling strategies. The AI agents can identify relevant products or services that complement customers’ existing purchases, enabling the company to increase order values and drive additional sales. By suggesting upgrades, accessories, or related items, the AI agents facilitate a seamless and personalized shopping experience.

Furthermore, on-premise AI solutions facilitate effective feedback collection and analysis. The AI agents can interact with customers through chatbots or email surveys, collecting valuable insights and opinions regarding product quality, user experience, and customer service. This feedback can then be utilized to refine marketing strategies, improve product offerings, and enhance overall customer satisfaction.

A healthcare company that wants to improve patient engagement and satisfaction by using AI agents that can provide health information, appointment scheduling, medication reminders, and symptom checking.

In the healthcare industry, on-premise AI solutions can revolutionize patient engagement and satisfaction by deploying AI agents capable of delivering a wide range of services. By using on-premise AI solutions, healthcare companies can ensure the privacy and security of patient information while offering personalized and convenient healthcare experiences.

AI agents installed on the healthcare company’s own servers or computers can provide patients with instant access to essential health information. From general medical advice to specific queries about symptoms, medications, or treatments, AI agents can offer accurate and reliable responses, helping patients make informed decisions about their health.

Appointment scheduling becomes streamlined and efficient with AI agents handling the task. Patients can interact with the AI agents through various channels such as chatbots or voice assistants, allowing them to conveniently book appointments, reschedule, or receive notifications

Benefits and challenges of on-premise AI solutions

One of the primary advantages of on-premise AI solutions is the level of control they afford to businesses. By housing AI applications on internal servers or computers, organizations maintain complete authority over their data and intellectual property. This is particularly crucial for industries dealing with sensitive information, such as healthcare, finance, or defense, where compliance and regulatory requirements demand stringent data protection measures. With on-premise AI, businesses can enforce their own security protocols and ensure that sensitive data remains within their network boundaries, minimizing the risk of data breaches or unauthorized access.

Flexibility is another key advantage of on-premise AI solutions. By having direct access to their AI infrastructure, businesses can tailor the system to their specific requirements and integrate it seamlessly with existing on-site applications and processes. This level of customization enables organizations to leverage the full potential of AI technologies in a manner that aligns with their unique business goals. Additionally, on-premise solutions offer greater flexibility in terms of data storage and processing. Businesses can choose to keep sensitive or critical data on local servers, allowing faster access and reducing dependence on external networks.

Despite the advantages, implementing on-premise AI solutions can pose challenges for businesses. The foremost consideration is the upfront investment required. Setting up and maintaining an on-premise AI infrastructure involves significant costs, including hardware procurement, software licensing, and skilled personnel. Businesses must carefully evaluate their budgetary constraints and long-term AI strategy to ensure that the investment is justified by the benefits and potential returns.

Another challenge is the need for ongoing maintenance and expertise. With on-premise AI solutions, organizations assume the responsibility of managing the system’s performance, updates, and troubleshooting. This demands a dedicated team of IT professionals with the necessary knowledge and skills to handle AI infrastructure effectively. The recruitment or training of personnel can present additional expenses and time commitments. Moreover, the rapid pace of AI advancements requires continuous learning and adaptation to stay up-to-date, placing further demands on businesses to cultivate an AI-savvy workforce.

Security is a critical concern for any AI deployment, and on-premise solutions offer a certain degree of control in this regard. However, they also require businesses to bear the responsibility of implementing robust security measures. This involves ensuring the physical security of servers, implementing firewalls and intrusion detection systems, conducting regular security audits, and maintaining compliance with relevant regulations. Failure to meet these requirements can expose organizations to various risks, such as data breaches, unauthorized access, or reputational damage.

Despite the challenges, the benefits of on-premise AI solutions are undeniable, making them a viable option for businesses seeking enhanced control and flexibility. By investing in on-premise infrastructure, organizations gain the ability to protect sensitive data, customize AI systems to their specific needs, and integrate AI seamlessly with existing processes. However, businesses must carefully consider their resources, both financial and human, and evaluate the long-term implications of managing an on-premise AI infrastructure.

In conclusion, on-premise AI solutions for businesses offer a range of advantages, including increased control over data and intellectual property, flexibility in customization, and heightened security. However, the decision to adopt an on-premise AI infrastructure requires careful consideration.

We offer on-premise AI solutions through our extensive partner networks. If you would like to learn more about how these solutions can benefit your business, please reach out to us at Our team will be happy to provide you with detailed information and answer any questions you may have. Don’t miss the opportunity to explore the advantages of on-premise AI solutions for your organization. Contact us to start the conversation and discover how AI can transform your business.

Applied Innovation Healthtech

Improving Healthcare with Clinical Data Intelligence

Applied Innovation Healthtech

Improving Healthcare with Clinical Data Intelligence

Clinical Data Intelligence for Life Sciences solutions is making data gathering and categorization effective and intelligent, lowering mistakes and speeding up submissions.

In the age of machine learning, artificial intelligence, and semantic data pools, no nugget of information is wasted. The healthcare sector has advanced significantly in clinical decision support and predictive analytics in just the last few years.

As Data are becoming more accessible in the healthcare sector as opposed to a siloed strategy. The use of technology and data and data-driven value creation is now being witnessed throughout the network. Healthcare organizations now have the chance to better leverage data, improve patient care, and increase revenue while handling increasing risks in patient privacy and data security as new data technologies with advanced intelligence capabilities become available.

With businesses investing more in population health management and accountable care, the use cases for big data are multiplying quickly, and consumers are keeping up with the demand for affordable services that take advantage of the ease of their preferred applications and devices. This results in better treatment outcomes, individualized care, and preventive interventions. We would be discussing some of the emerging use cases going forward.

Preventive Healthcare: Preventive Healthcare is one of the use cases for clinical data intelligence. It enables experts to identify dangers early and take preventative measures. Through the use of data science techniques like AI and machine learning, wearables and other tracking devices that gather and track data are producing forecast models that can correctly identify a person’s health risks and enable carers to take preemptive action. It is feasible to anticipate and avoid chronic cardiac conditions, autism meltdowns, etc. by utilizing genetic and historical data.

Data-Driven Care: Data science technologies can make uses like medical image analysis and pathology reports that read with high precision possible because a large number of patients perish each year as a result of diagnostic mistakes. To analyze and understand X-rays, MRIs, mammograms, and other imaging studies, as well as to spot trends and identify illnesses, data models and algorithms can be created. This will increase output and aid doctors in making correct diagnoses.

Individualized Care: A one-size-fits-all strategy for medical care and medication is also now considered ineffective. The ability to monitor individual data and improvements in gene technology are enabling customized medicine. Based on a patient’s prior medical history, gene markup, and current data, machine learning, and deep learning algorithms can now help a doctor determine whether a specific drug will be effective for the patient.

Lowering Costs: Insurance firms are putting weight on healthcare organizations to improve therapy outcomes in order to lower readmissions. Longer personal care is a consequence of bed shortages in some nations. By enabling doctors to remotely monitor their patient’s vital signs, receive alerts when conditions deteriorate, and take appropriate action when required, data science and intelligence can significantly assist in resolving these problems.

Drug discovery: Drug development and clinical studies are lengthy, expensive procedures. Data intelligence tools can aid scholars in the analysis of huge data sets and in the creation of computer models for various tests. Additionally, text mining can assist medical academics by automatically reviewing thousands of web resources and performing analytical processing quickly to give the required information. Clinical trials will use data science apps to accelerate findings and reduce costs.

Thus providing companies with cutting-edge capabilities can improve care, accomplish improved treatment outcomes, increase patient experience, and make new discoveries in drug discovery, data science, and intelligence will have a major influence on the future of the healthcare sector.

However, healthcare companies are still having trouble mastering descriptive analytics, particularly when valuable insights call for a variety of data sources. Despite the data-driven promises, the majority of healthcare companies still have a lot of work to do before they can turn their growing big data analytics skills into actually usable clinical information.

Are you interested in implementing data science and intelligence in your company? Quotients through its partner networks offers a quicker, more affordable alternative. Using advanced data science technologies like AI, machine learning, deep learning, etc. without the constraints of time, money, and resources is made possible by our solutions. Please write to us at

Startup Stories

Cityblock working to provide healthcare for lower-income groups

Startup Stories

Cityblock working to provide healthcare for lower-income groups

Social factors like education, employment status, income level, gender, and ethnicity have a marked influence on the health of a person. There is evidence of wide disparities in the health status of different social groups. Individuals with lower socioeconomic positions are at a higher risk of poor health.

Cityblock, a US-based healthcare startup, is working on providing community-based care to most underserved communities. The company works with insurance companies to provide in-home, community-based, and virtual care at no extra cost, including no copays. The startup partners with community-based organizations and health plans to deliver services virtually, in-home, and in their community-based clinics. Modern technology is at the core of the model, with custom-built tools to support every facet of care team operations and member interactions. Cityblock currently serves 70,000 members in New York, Connecticut, Massachusetts, and Washington, DC.

Launched in 2017 out of Alphabet’s Sidewalk Labs, Cityblock offers a personal care team for each patient encompassing primary care, mental health, social services, pregnancy care, and urgent care. It also offers safe housing, food security, and childcare support, working with local shelters, housing agencies, and food pantries along with medical support.

Cityblock is building its solutions on a modern technology stack with an orientation toward impact. The integrated care teams include doctors, nurses, advanced practice clinicians, behavioral health specialists, licensed clinical social workers, and community health partners, and leverage close partnerships with existing healthcare providers and community-based social services organizations.

Cityblock started with a partnership with EmblemHealth, one of the largest nonprofit health plans in the US, and is now teaming up with MDwise. Recently, the company has raised nearly $900 million and has a valuation of around $6 billion, according to media reports.

Cityblock said in a press statement that it is confident that its team has the potential to scale to serve millions of people across the country in new and better ways. The startup believes that new models of care delivery, rooted in preventative care and augmented with social services, are one major path forward to righting the injustices in the healthcare system. This starts with extending changing payment models to create sustainability for primary care providers and building technology to democratize access to the care models.

Reach out to to know more about open innovation updates, programs, and collaboration opportunities.

Applied Innovation Healthtech

AI-assisted Digital Physiotherapy resulting in Positive Outcome for Patients

Applied Innovation Healthtech

AI-assisted Digital Physiotherapy resulting in Positive Outcome for Patients

The digital economy saw accelerated growth during the covid19 outbreak. The pandemic presented many windfall opportunities for digital technologies– represented by the Internet, big data, 5G, and artificial intelligence– to expedite their deep integration with industries such as retail, finance, mobility, manufacturing, healthcare, etc.

Digital Health

Digital health, the use of information and communications technologies in health professions to address illnesses and health risks and to facilitate wellness, was increasingly leveraged world over to accelerate, compliment, and optimize health care service during the pandemic and it continues to evolve. There is an increasing trend among people relying on digital platforms for their well-being.

Digital Physiotherapy

Digital Physiotherapy is one of the applications in the digital healthcare domain that is gaining popularity and physical therapists around the globe are making use of technological advancements for providing care to their patients. It relies on smartphone-based computer vision for motion tracking and an app for functioning. Motion tracking, a subfield of computer vision and an extension of object recognition follow and monitors the motion of a person or object across multiple frames in a video.

Digital Physiotherapy Positively Impacts Patient Management

This has great potential to positively impact patient management as these solutions are scalable and can overcome obstacles like cost as these patients can recover from the comfort of their homes and also save on medical expenses and time. Such solutions can also be individualized to meet patient and clinician needs and expectations. But there are also challenges like lack of standardization and require more reliable measures of evaluation than those existing at present.

There are solutions that are coming up and are using this technology to capture exercise data like the speed and range of motion of the patient. This data is monitored by a team of experts who engage through video calls and messaging. There is also an option for real-time corrective feedback to ensure that the recommendations are being followed and to provide personalized care.

AI Assisted Care

Digital physiotherapy solutions depend on an app to help patients choose a time of treatment according to their convenience and interact with the physiotherapist in real time. There are also options for the patients to know all their details as they can access all their records all the time. The patients can conduct the exercise sessions at the time they choose and get guidance through AI (Artificial Intelligence) so there is no need for the doctors to be present every time. Therefore, it saves time both for physiotherapists and the patients allowing for the treatment of more patients.

As the whole process is virtual so the treatment can be done through a compact personal studio rather than a clinic saving large costs on rent and maintenance. Automated record tracking and clubbing together of identical cases can help the physiotherapists to study the process and outcomes and come up with standardized treatment saving time and effort.

This digital physiotherapy solution is being deployed at various levels in the healthcare industry and receiving positive feedback. To know the details and discuss more on this as well as other evolving solutions in multiple domains please write to us at