Health Technology, Digital Healthcare
Article | September 8, 2023
Embark on a journey into the frontier of healthcare innovation in this article. Discover how EHR telemedicine and remote patient monitoring serve as catalysts, driving forward a new era in healthcare.
Contents
1. Integration of EHRs in Telemedicine and Remote Patient Monitoring
2. Technical Challenges and Solutions in EHR Integration
3. Financial Analysis: Cost-Benefit Assessment of Integration
4. Data Privacy and Consent in Integrated EHR-Telemedicine Systems
5. Forging Stronger Patient-Clinician Relationships
1. Integration of EHRs in Telemedicine and Remote Patient Monitoring
EHR telemedicine and remote patient monitoring have reshaped healthcare delivery by seamlessly integrating electronic health records, allowing healthcare providers and patients to exchange information effortlessly, regardless of geographical barriers. This synergy empowers healthcare professionals to access patients' comprehensive medical histories in real time, facilitating more informed decision-making during virtual consultations.
During the spring of 2020, when pandemic restrictions kept most people in the US at home, the use of telehealth rose to about 51%.
[Source: Elation Health]
Moreover, it enhances the accuracy of remote patient monitoring by providing up-to-date data, enabling timely interventions and improving overall healthcare outcomes. Integrating EHR telemedicine systems enhances efficiency and ensures that patient care remains at the forefront of modern healthcare, transcending traditional physical boundaries.
2. Technical Challenges and Solutions in EHR Integration
Navigating telehealth EHR integration and remote patient monitoring solutions uncovers a range of technical challenges, each with its own set of potential remedies. These include interoperability issues, which can be mitigated by adopting standardized data formats like HL7 FHIR. EHR interoperability solutions may involve using data exchange protocols such as HL7's Consolidated Clinical Document Architecture (C-CDA) or developing custom APIs to facilitate seamless data exchange between EHRs and telemedicine platforms. Additionally, the imperative need for data security and privacy is achieved through robust encryption and adherence to regulations like HIPAA or GDPR. Data integration challenges arising from varying EHR data storage methods can be resolved using middleware or integration platforms. Investing in telecom infrastructure and developing offline-capable telemedicine apps can address limited connectivity in remote areas. Ensuring real-time data access involves optimizing EHR databases and creating low-latency systems. Other challenges encompass integrating data from medical devices, ensuring data accuracy, scalability, user-friendly interfaces, regulatory compliance, and cost management strategies.
3. Financial Analysis: Cost-Benefit Assessment of Integration
When contemplating the integration of EHR telemedicine and remote patient monitoring systems, conducting a comprehensive cost-benefit analysis is crucial. This assessment covers financial aspects, including initial implementation costs (software development, hardware upgrades, training, and data migration), ongoing operational expenses (maintenance and data storage), and potential efficiency gains (streamlined workflows and improved data accessibility). It also evaluates the impact on patient outcomes, satisfaction, and financial benefits of enhanced healthcare quality, reduced readmissions, and increased patient engagement. Healthcare organizations can estimate cost savings in remote patient monitoring and explore expanding telemedicine services to underserved populations to make informed financial decisions.
Additionally, this analysis considers long-term financial viability and alignment with organizational goals, including regulatory compliance costs, risk assessment, scalability considerations, and the competitive advantages of integrated telemedicine services. By calculating ROI and assessing potential risks, healthcare entities can develop risk mitigation strategies, ensuring that EHR integration in telemedicine and remote patient monitoring enhances healthcare delivery and aligns with the organization's financial sustainability and long-term success.
4. Data Privacy and Consent in Integrated EHR-Telemedicine Systems
Data privacy and obtaining informed consent are paramount in integrated EHR and telemedicine systems. Patients should provide explicit consent, understanding the data collected and its intended use, with strict encryption protocols safeguarding data during transmission. Access controls and data minimization practices restrict unauthorized access, while patient portals enable individuals to manage their data-sharing preferences and revoke consent if needed. Compliance with regulations such as HIPAA or GDPR is crucial, as is maintaining comprehensive audit trails to track data access. Training, awareness, and robust incident response plans fortify data privacy efforts, fostering trust and transparency in these integrated systems where healthcare organizations and patients share responsibility for secure data handling.
5. Forging Stronger Patient-Clinician Relationships
Integrating EHR telemedicine and remote monitoring systems goes beyond mere efficiency and accessibility objectives. It serves as a catalyst for nurturing more substantial and meaningful patient-clinician relationships. This fusion of technology and healthcare has the capacity to bridge physical distances, allowing clinicians to truly understand and engage with their patients on a deeper level. Patients, armed with increased access to their health data, become more active participants in their healthcare, while clinicians, with their comprehensive information, can offer more personalized and informed guidance. The potential of EHR telemedicine reaches far beyond the digital screen; it empowers both patients and clinicians to collaborate in pursuit of improved health outcomes, ushering in a new era of patient-centric care grounded in trust, communication, and shared knowledge.
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Healthtech Security
Article | August 31, 2023
Throughout my professional carrier, I iused to visit many companies involved in drug discoveries and had seen the challenges they go through. Some are pleasant as the investigational molecules were moving forward in value chain whereas few faced bottlenecks at the end. The association with Pharma industry over the years had taught me about many new ideas and allowed me to see that how innovative ideas are impacting our social and scientific world to a great extent. The changes we see today, are the results of ideas came from various quarters globally and I feel digital innovation had shaped today’s world differently. The impact of digital platform in today’s Pharma world is a “Game-Changer".
Innovation is a continuous process which simplifies challenges into reality and plays a very important role in our society. Centuries ago, scientists used to spend years in laboratories to understand material science. The chemical science evolved around discovering elements, synthesis of compounds or even isolating products from natural resources. Today’s world is highly indebted to those discoveries and efforts and modern science has gradually moved towards digital platform. Last few decades, innovations based on new technology platforms has made huge impact in scientific discoveries and few such ideas and action I feel has brought significant changes. Our lifestyle and social environment have witnessed deep impact due to such innovation. The chemical science is evolved not around only chemists today but have huge influence of mathematicians and technologists for faster development.
Advancement of digital science, new algorithms to solve the problems has modified the way of drug discovery to a great extent. In the recent past, we were heavily depended on big machines, but innovation has brought the whole items in a small packet now. The technology platform is modified, speed has increased in identifying new drugs with artificial intelligence (AI) and machine learning is accelerating the drug discovery and development processes. Today’s Pharma industries for commercial supplies are now depended on automation, optimization of the manufacturing processes, as well as designing effective marketing and post-launch strategies. The process is aimed to have better control on the operation, improving safety and better predictability of quality. For conducting clinical trials, identifying patient’s profile, an eligibility criteria is crucial which has been made by the processes being faster and cost effective by introducing Artificial Intelligence (AI).
Earlier when focus was to identify the origin of life, finding new elements, compounds or building blocks, today’s world is heavily dependent on data or ‘Big Data’. The amount of information available throughout drug discovery and development process, analyzing, interpreting, and predicting right candidate require high-performance systems to analyze data properly and derive value from it. There is advancement of analytical techniques, which provides more accurate information about the clinical trial reports and the data across patient pool, zeroing down towards right candidate is a real challenge and there are several AI enabled tools available where the processing time is reduced significantly which might have taken several years. The exciting part is that innovation is not only limited to laboratory work but works in coordination of mathematical interpretations, data analysis and provide significant clues to develop new molecules and even provide approach towards therapeutic categories. Currently available advanced technologies enhance drug development process, making it less time-consuming and cost-effective process where AI can recognize hit and lead compounds, and provide a quicker validation of the drug target and optimization of the drug structure design. Data scientists play a very significant role in all these activities.
Innovation focusing personalized medicine is now a reality and companies involved in such basic research have made breakthrough to understand how the human body responds to drug. Software solution is also available for simulating effects of drugs in patient body based on individual characteristics, scientific data for real time prediction of efficacy and drug interaction on individual. These predictive models are shortening drug discovery pathways to a great extent. Small molecule drugs or even large molecules development are heavily depended today on such modelling and predictive approach. The aim to reduce cost of drug development, shortening discovery path, focus on clinical trial mechanism is more productive with a higher success rate. During the pandemic period, in a shortest possible manner, several companies started working to develop new drugs or vaccines using drug-specific exposure models for drugs under investigation for the treatment of Covid-19.
Similarly, discovery platform is also working on cutting edge technology ‘Organ-on-a-chip’ that can emulate the physiological environment and functionality of human organs on a chip for disease modeling, mimicking the impact and could be a game changer in future. I will be happy to see when technology platform can accurately predict human mind and with the help of AI, can find a probable solution to avoid any such complex conflicts. It would be interesting to see that AI is analyzing and predicting the chemical change in the bodies impacting human mind and analysisng it quickly to predict psychological behavior of the patient and guide physician for right therapy. This may lead to predicting problems one may face in old ages where the decays may be prevented at early stage. This is a challenge but understanding and predicting psychological behavior may improve patients’ life. Depression and its remedy may be based on understanding changes, patterns of physicochemical behavior and its impact during mood swing and predicting such things in advance by using the advanced AI tools could be a game changer.
Another path breaking development where technology involving both engineers and scientists to help drug design to obtain maximal therapeutic benefits for patients including designing drug delivery systems and biomedical devices is 3D-printing technology. This involves high end computer simulations making analysis faster and predictive than before. Influence of 3D printing in designing variety of dosage forms has simplified its preparation. Though further study is under progress but the technology implementation at late has reduced cost of drug development to a significant extent and will add value in future drug development. It is interesting to see how this 3D printing technology works on human brain mapping and predicting a right path for treatment for betterment of large patient pool. Today with advanced technology, we are now more dependent on machines, limited close interaction with our near and dear ones, but created more friends on social platform. Though life looks easy, but over dependent on machines is creating another complex environment and this growing complexity may change the disease pattern. It will be interesting to see that how these technology platforms improve further to ease out such complexities for a healthy future.
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Health Technology, Digital Healthcare
Article | August 16, 2023
Prioritizing health and managing it, has become highly important because our lifestyle is continuously evolving in ways that take a toll on us mentally, physically, and emotionally. However, the major issue for the patients lies in the inaccuracy of treatment due to the lack of complete health records in any hospital. With the recent changes in privacy legislation and data management, patients are even unable to retrieve their own health records.
For example, someone had an accident and was taken to the emergency room. The first thing they will need to do in their condition is to fill the hospital’s form. Then, for the treatment, if the injured person is conscious enough, doctors ask questions like if they are allergic to some medicines or do they suffer from diabetes or any other disease. Besides, what if the individual denies having allergies or diabetes in their half-conscious state? And the previous hospitals where they have already had treatment before have denied sharing the medical details of the person either due to privacy issues or data corruption. Well, it can create a lot of fuzz.
Solely, to improve the health industry without compromising the security of the individuals, blockchain has remained in the discussion. It has the potential to address the operability challenges present in the healthcare industry. But, what is blockchain, what are its underlying fundamentals, why blockchain, and what are its advantages?
Today’s blog will help in understanding every aspect of blockchain and its impact on the healthcare industry. So let’s get started!
What is Blockchain?
Blockchain is a P2P or peer-to-peer distributed or decentralized ledger technology. It stores a chain of data called blocks of information. These blocks are chained together by cryptographic signatures. These signatures are called hash that is stored in the shared ledger and backed by a connected processes network - node. These nodes reserve a copy of the complete chain and get continually updated by synchronization. Though, to include blockchain in the process it’s necessary to hire a developer who has prior experience and knowledge about its architecture and can work with the components efficiently as blockchain is a designed pattern that consists of three major constituents - a distributed network, a shared ledger, and all the digital transactions.
a. Distributed Network
As discussed before, blockchain is built on peer-to-peer networks. While having no central point of storage, it makes the information on the network less vulnerable to being lost or exploited.
Unlike the traditional client-server model that has a centralized storage point or controlling party, all the information in the blockchain network is constantly recorded and transferred to the participants of the network that are also known as nodes or peers. These peers also own several identical copies of the information. That’s why blockchain is seen as a huge improvement to centralized models and is considered the future of data storage and ownership.
b. Shared Ledger
Each authorized participant in the network records the transactions into the shared ledger. If they want to add any transaction, it is important to run algorithms that evaluate and verify the transactions. If the majority of members agree to the transaction’s validity, a new transaction gets added to the shared ledger. The changes done in the shared ledger is reflected in minutes or even seconds in the copies of the blockchain. Once the transaction is added, there’s no way to modify or delete it. Also, as the copy is shared in the form of a ledger to each member, no single member can alter data.
c. Digital Transaction
Transactions are information i.e. data transmission to one block. During the process of data transmission, each node acts as a central point to generate and digitally sign the transaction. As the nodes connect each other in the network, each of them has to verify the transaction independently for its conflicts, validity, and compliance. Only after the transaction passes the verification, the information is added into the shared ledger. The major element that makes digital transactions successful is cryptographic hashing that encrypts the data for security.
Why Blockchain technology in healthcare?
It has happened so often that the patient remains unable to gather all of their previous medical records in one format from one place swiftly or sometimes cannot even collect the required information at all. Unfortunately, in most cases, the information of critical patients remains scattered across several different institutions of healthcare that too in different formats. Besides, the data management systems along with the security regulations also vary in different institutions making it difficult to trace and fix mistakes.
But, what can blockchain do?
A blockchain is a system used for storing and sharing information with security and transparency. Every block in the chain is an independent unit of its own and a dependent link among the collective chain that creates a network controlled by participants rather than a third party.
As blockchains are managed by network nodes instead of central authority, they are decentralized that prevents one entity from having complete control over the network. With the incorporation of blockchain, the need for a central administrator will be removed by cryptography. Healthcare providers will be able to promote data management processes beyond perception. It will help in collecting, analyzing, sharing, and securing medical records. It will provide the access to healthcare workers for retrieving health records with the cryptographic keys provided by patients from anywhere without creating any privacy or security problems.
Advantages of Healthcare Blockchain
Although applications of blockchain in the healthcare industry are inceptive, some early solutions have shown the possibility of reduced healthcare costs, improved access to information among different stakeholders, and streamlining the entire business process. So, keeping aside the buzz, let’s see the real advantages of blockchain in healthcare.
1. Master Patient Indexes
The master patient index helps in the identification of patients across separate administrative systems. It is often created within the EHR or electronic health record system. As these EHRs have different vendors, there are several irregularities of MPIs. In many cases, the data of a patient between these healthcare systems become mismatched. However, with the nature of decentralization in Blockchain, it possesses the ability to solve the issue. In the blockchain-based MPIs, the data will be hashed to the ledger and content will remain unique as only the authorized nodes of the data can make changes to the hashes while all parties with access can only check the related information.
2. Single, elongated patient records
Blockchain technology is potent to transform health care by placing patients at the center of the system while increasing the security and privacy of health records. It provides a new model for health information exchange by forming electronic elongated patient records secured and efficient. Additionally, the fact that the data is copied among all the nodes of the blockchain network creates an atmosphere of clarity and transparency that enables healthcare providers and patients to know how their data is handled by whom, how, and when. It can also help healthcare from potential frauds, data losses, or security attacks.
3. Supply Chain Management
Supply chain management in healthcare is a challenging aspect. With scattered settings for ordering drugs, medical supplies, and critical resources, there’s an inherent risk of compromising the supply chain that might impact patient safety. Indulgence of blockchain technology in the transactions can tap into the complete process of medicine or drug products movement. As all the transactions will be recorded onto the shared ledger with every block recording and maintaining every transaction, it will become easy to verify the vendor, distributor, and origin of the drug within a matter of seconds. It will also enable healthcare physicians and officials to check the authenticity of the supplier’s credentials.
4. Claims Justification
Currently, the insurance claim processes face difficulties like lack of transparency i.e. most customers don’t even know how insurance works; human errors and inefficiencies i.e. insurances are full of confusion along with human errors that create inefficiencies that lead to the increased cost to customers; higher frauds in claims. But, blockchain technology can simplify and enhance recordkeeping, payment processing, claims registration, contract management, and closure with its immutable ledger.
5. Interoperability
Interoperability is the capability of distinct healthcare information technology to interpret, exchange, and use data. Due to the privacy issues, the alphanumeric code to identify a patient has been revoked that caused problems in gathering the required record of the patient. Enforcing measurement standards for industry-wide interoperability is also a challenge in interoperability. With blockchain in healthcare interoperability, data can be shared in real-time on the trusted network and provides access to the patient’s record in a secured manner. Moreover, with the pri
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Health Technology
Article | September 12, 2023
Since ChatGPT’s launch in November 2022, artificial intelligence (AI) tools have become disruptive to nearly every industry. While there's been controversy about whether AI would benefit the healthcare industry, it has proven to be just as capable in healthcare as in other sectors.
In the medical field, there is reason to believe AI tools may be an even more reliable and useful resource than other sectors. Medical students have been panicking over AI's threat to their career prospects. But as these systems mature, the experts increasingly believe that AI may serve as a counterpart to human medical expertise rather than a threat.
How AI Tools Are Expected to Aid Medical Professionals?
Again and again, as the debate over modern AI tools rages on, we encounter the analogy of the calculator. No one feels threatened by calculators, not even professional mathematicians. Instead of throwing up their hands, math experts embrace the power of these now archaic computerized devices. If the experts are correct, this may be similar to the future of the alliance between AI and humans.
According to the designers and programmers who understand how these systems work as well as how information technology tends to progress, AI can be expected to help the medical profession in the following ways:
Cosmetic Surgery Consultations
One of the farthest-reaching applications we see develop is in consultations for plastic surgery and similar applications. Perhaps one of the easiest aspects to understand is hair-loss consultations. In our practice, we use a device known as HairMetrix, which uses an AI-driven analytical system to help determine what is causing a patient to lose their hair and which treatment options would be the most effective.
Because it is AI-driven, it is fully based on visual scans and is completely non-invasive. Just like this, AI can be used in an abundance of other ways to minimize the use of exploratory surgery and improve healthcare outcomes.
Improved Diagnostics
Artificial intelligence is already helping medical providers deliver diagnoses more quickly. These tools can identify anomalies that might otherwise take human hours or even weeks to identify. This has improved the rate of cancer detection, among other things, which will predictably improve survival rates.
Developing New Pharmaceuticals
The development of new medicines is notoriously slow. Not only is testing a painstaking process, but even seeking FDA approval can take years. AI is expected to help the development of pharmaceuticals through simulation on the molecular level, allowing researchers to see how the active mechanisms in a drug will work in the body.
Improved Administrative Efficiency
In the medical field, administrative tasks are notoriously slow. It is believed that generative AI will be able to automate many administrative functions and innumerable office chores. It could streamline sorting patient files, accelerate the interpretation of data, and much more.
Patient Access
In an area where information technology is already improving patients' lives, access to medical advice is still a bottleneck in the system. AI tools have the potential to slowly bridge the gap in health disparities. Combined with the power to diagnose, this could dramatically increase the capability of online patient portals.
Of course, this list of anticipated AI capabilities is far from exhaustive. Researchers and medical professionals have high hopes for these tools, and some are already proving to be more than mere speculation.
In a world where AI is reshaping industries at an unprecedented pace, the healthcare sector stands poised to benefit significantly from this technological revolution. From streamlining administrative tasks to revolutionizing diagnostics, the potential of AI in medicine is vast and diverse. As we witness AI-enabled tools like HairMetrix, enhancing the cosmetic surgery consultations and AI algorithms expediting diagnostic accuracy, it's clear that we are only at the beginning of a healthcare transformation that is set to improve patient care, increase survival rates, and revolutionize medical practices.
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