In the healthcare ecosystem, the medical information is stored and distributed in various silos. Digital identity is an excellent opportunity to bring patients in an owner position of all health information. As described, many different stakeholders in healthcare handle and store medical data: General practitioners (GP), medical specialists, hospitals, physiotherapists, insurance companies, etc. As the data in standalone systems, these data silos are not connected to share data with different stakeholders. Blockchain technology delivers a complete solution to all these problems. Data analytics and cognitive computing/machine learning, in addition to blockchain secured data, could enable access to a rich set of standardized, non-patient identifiable information to support medical researchers developing new treatments by using, e.g., demographic data or genetic markers. Combined with a digital identity, blockchain technology can boost efficiency and effectiveness in healthcare for providers, payers, and patients and provides data security as a basic need for trust.
In recent years, the data processed by the healthcare domain is increasing at an unprecedented rate, accompanied by rich knowledge for medical research. But the low information has led to the origination of Healthcare Analytics. Healthcare Analytics collects the data from a myriad of areas such as clinics, hospitals, government agencies, health insurance, pharmaceutical, and biotechnology agencies, allows for the examination of trends and patterns in various healthcare data. Based on this pattern, healthcare analytics determines how healthcare upgrades while constraining exorbitant spending. The digitization of the healthcare system in the last decade has led to an ever-increasing source for data production.
The amount of data generated is increasing exponentially, and the collection of healthcare data from various sources is rapidly on the rise. Collection, management, and storage of all this data is very costly and may not be of value unless converted into insights that can be used by the healthcare ecosystem. For maximum optimization and usefulness, the data needs to be analyzed, interpreted, and acted. Machine Learning and Deep Learning allow for the generation of new knowledge from all the collected data and can help reduce the cost/time-based burden on all healthcare systems via learning, better prediction, and diagnosis. These tools serve to improve the overall clinical workflow from the preventive and diagnostic phase to the prescriptive and recovering stage in health management.
Innova solutions strive towards building a better healthcare system by collaborating with payers, providers, and channel partners to help improve clinical decision-making, simplify billing and payment process, connecting physicians and patients enabling, a better patient experience. The solutions are focused on improving clinical, financial, and patient engagement outcomes by using robust software, deep researched analytics, and helping customers leverage the network solutions and technology-enabled services. Managing data has been the asset that Innova Solutions has over the years and is converting this data to provide solutions that help payers and providers use this data to optimize their revenue, reduce operational costs, and to improve healthcare quality.
Innova solutions help Payers, Providers, and Pharmacies by providing a wide range of services that include application development, mobile apps, cloud migrations, Robotic process automation, analytics solutions, Payment solutions, chatbots, etc. Below mentioned are few solutions from Innova that were implemented at customer locations to help the customers save money, increase accuracy, minimize errors, drive continuous improvements, and administer Telemedicine practices:
Care Expand focuses on patient acquisition, patient care coordination, and patient health management that help increase more revenue, more referrals, and better engagement. CareExpand helps in delivering virtually accessible medical care using Telemedicine.
Innova solutions helped a large financial and administrative healthcare network customer in the U.S.A. by streamlining their payment process, automating the process to improve turnaround times for customer requests, enabling Artificial Intelligence and Machine Learning to be leveraged for preventive care, and reducing the overall costs.
creating a mobile application that can be used by wearable technologies, like wrist bands and smartwatches, to gather medical information in real-time, and physicians can monitor and analyze the individual’s health record. Physicians can also send a secure message to the patients using this solution
Innova solutions helped a healthcare major to track patient health status and to share the data with the physicians in real-time, with minimal human intervention. For this, Innova solutions have helped
Innova solutions developed chatbots to build customer engagement and trust. They help in automating the operations, generating the leads, and driving revenue
Innova solutions help pharmacies manage costs, reduce risks, enable digital transformation to enhance patient satisfaction, provide secure and accurate communications between systems by using technologies like Machine learning, Predictive analysis, cloud migration, and Robotic process automation
From the above information, we can understand how rapidly Digital health is progressing to provide a better healthcare system for patients, payers, providers, and everyone who has access to digital platforms. Electronic health data allows the medical information to be shared amongst stakeholders easily, and the patient information can be accessed and updated as a patient undergoes treatment. Mobile apps and wearable devices are leading the current market for providing patient accessible information and tracking patient data that can help patients keep good care of their health. Technologies like Blockchain, Digital Analytics, and Machine learning help store, secure, and derive patterns and trends from Healthcare data that help in providing solutions. Companies like Innova solutions keep creating new solutions for maintaining the continuum of care delivered to the patient. We can clearly understand that Digital healthcare is on its way to continuous improvements, which is a positive sign for the coming generations.
However, we should not forget the risks involved in managing the data of Digital health before using them, and we should consider building systems that safeguard data privacy, data security, and accuracy of the information shared. Digital identity is an important step to be considered when distributing the data through multiple systems, thus overcoming transparency, ethical, and privacy issues. There is also a need for the interconnected health systems to be harmonized to resolve possible conflicts and inconsistencies among standards.