Health Technology, Digital Healthcare
Article | July 14, 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 | September 7, 2023
Do you know a friend or loved one who suffers from fear, anxiety, and depression and do not know what to do?
It can be difficult to watch someone you know struggle with their mental health and not be able to do anything about it.
As a result, here are 8 important tips on how to help the person you care about in these kinds of situations.
1. Learn as much as you can in managing anxiety and depression: There are many books and information that will educate you on how to deal with fear and anxiety. Share this information with the person who is struggling with their mental health.
2. Be understanding and patient with the person struggling: Dealing with depression and anxiety can be difficult for the person so do not add more problems than what is already there. Do not get into arguments with the person who is having a difficult time with their mental health.
3. Talk to the person instead of talking at them: It is important not to lecture the person who is struggling with anxiety and depression. Talk to the person about their issues without getting upset. Most people will listen if you approach them in the right manner.
4. Remind the person the importance of getting help: One way to convince the person who is struggling with fear and depression is to tell them what may happen if they don't get some assistance. Anxiety and depression can be difficult to manage and usually these mental health issues won't go away by themselves.
5. Find out why the person won't seek assistance: Address the issues on why the person will not get the necessary help. Many people who are struggling are fearful and frustrated. Try to find out the reasons why he or she won't get the help they need and then try to find ways that will overcome their resistance of seeking treatment.
6. Join a local support group: There are many mental health support groups in your area that can help you. Many hospitals, churches, and counselors in your area will be able to provide you with a list of groups. These mental health organizations will be supportive of your situation and they can give you additional advice on how to help the person who is struggling.
7. Talk to someone who has been there: Find somebody who used to struggle with fear, anxiety, or depression and have them talk to the person who is struggling. He or she could use their past experiences to try to reason with the person that you care about, and they might be able to use their insights to convince the individual to seek treatment.
8. Talk to a counselor: Talk to a professional counselor on how you can help your friend or relative with their mental health struggles. A counselor can give you advice and ideas on how to help out your friend. Your main goal is to get the person who is struggling to seek help from a mental health specialist.
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Health Technology, AI
Article | July 18, 2023
In the ever-evolving healthcare landscape, transparency in pharmacy benefit management (PBM) has emerged as a critical issue. The discussion surrounding driving down prescription drug costs and increasing access to affordable medications has brought attention to the practices of PBMs. However, achieving true transparency requires more than just buzzwords; it necessitates access to real-time data that empowers consumers to make informed decisions about their healthcare. In this piece, we will explore the importance of real-time transparency in PBMs and highlight how Xevant, a leading platform, is revolutionizing the industry.
The Current State of PBM Legislation
With over 100 bills to reform PBM practices, legislative efforts are intensifying to address the business practices associated with PBMs. However, one common concern is the absence of language surrounding real-time automation in many of these bills. The lack of such provisions threatens to undermine the effectiveness of the proposed reforms. It is crucial to examine the available resources and insights to gain a comprehensive understanding of the issue. The current state of PBM legislation and the efforts to reform PBM practices highlight the pressing need for transparency and accountability in the pharmaceutical industry. PBMs play a critical role in the drug pricing ecosystem. Still, concerns about “traditional” PBM business practices, such as lack of transparency and opaque rebate systems, have raised questions about their impact on drug prices and patient access to affordable medications.
Xevant's Groundbreaking Solution
Xevant, led by CEO Brandon Newman, stands at the forefront of the drive for transparency in PBM practices. As the only platform capable of providing PBMs and consumers with real-time, automated, and completely transparent data from the entire pharmacy benefits ecosystem, Xevant is poised to revolutionize the industry against the backdrop of the political landscape.
The absence of language surrounding transparency and real-time automation in many proposed bills threatens the effectiveness of the reforms. Yet, innovative companies like Xevant are leading the charge for openness in PBM practices. Xevant's real-time data automation and optimization capabilities empower consumers with timely, comprehensive, and transparent information, enabling them to make informed decisions about their healthcare and potentially save money.
With the potential passage of these bills, the pharmaceutical industry could see a shift towards greater accountability, fairer pricing practices, and improved access to affordable medications. The reforms could also create a more level playing field for generic drug manufacturers, fostering competition and lowering prices.
Real-Time Data Automation and Optimization
Newman emphasizes that transparency cannot be achieved without access to real-time data automation and optimization. This real-time, customized data enables individuals to compare prices, explore alternatives, and understand the specific cost components related to their medications. By bringing together various parts of lowering drug costs, such as drug rebates, 340B contracts, sell-side discounts, copay assistance, and employer negotiations, Xevant offers a solution that empowers consumers with the information they need when required.
The Implications of Timely Access to Data
The scarcity of timely access to data among many traditional PBMs is a significant challenge in achieving transparency in the pharmaceutical industry. These PBMs typically collect data annually, which leaves a substantial margin of error and can result in millions of dollars lost from consumers' pockets. In contrast, Xevant's capabilities offer a game-changing solution.
With Xevant's platform, consumers gain immediate access to critical information regarding drug rebates, markups during spread pricing, competitive alternatives, and the vast landscape of the pharmaceutical ecosystem. Having these complete datasets available in real-time allows individuals to make informed decisions about their healthcare and potentially save lives. The significance of timely access to data cannot be overstated, as transparency becomes meaningful only when it happens in the present rather than months, or even a year, later than when the impact has already occurred.
Navigating Proposed Legislation and Questionable Business Practices
Another critical aspect of the PBM landscape that Xevant addresses is the moral implications associated with cost-sharing, clawbacks, spread pricing, and the pass-through of rebates. These practices have long been criticized for their opacity and their negative consequences on patients' access to affordable medications. Xevant's transparency-focused approach highlights these practices, allowing stakeholders to evaluate their ethical implications and work towards fairer alternatives.
Xevant recognizes that proposed legislation may have potential cracks that allow for slip-through and the continuation of questionable business practices. Delayed and inaccurate reporting are loopholes that can hinder the effectiveness of reform efforts. By actively engaging with legislators and industry stakeholders, Xevant aims to identify these potential shortcomings and advocate for comprehensive robust legislation that leaves no room for exlploitation
The Future of Healthcare and the Role of Real-Time Automation
As the discussion surrounding PBM reform gains momentum, the future of healthcare in America hangs in the balance. Xevant sets a new standard for efficiency and consumer empowerment in healthcare decision-making by employing AI-driven technology. Xevant's visionary approach to real-time data automation and optimization paves the way for greater transparency and cost savings in the pharmaceutical industry.
Wrapping Up
Transparency in pharmacy benefit management is crucial to addressing the soaring costs of prescription drugs and enhancing access to affordable medications. Without access to real-time data and automation, the pursuit of transparency remains elusive. Xevant's groundbreaking platform solves this pressing challenge, enabling PBMs and consumers to access complete, transparent data in real-time.
As legislative efforts progress, the need for real-time transparency becomes increasingly evident, and Xevant emerges as the leading legal solution for PBMs. When harnessing the power of real-time data automation, the vision of affordable healthcare can be transformed into a reality, benefiting individuals and the entire healthcare ecosystem.
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Health Technology, Digital Healthcare
Article | August 16, 2023
Explore the evolution of healthcare by diving deep into these EHR trends, as they pave the way for the future of EHR. Embrace cutting-edge solutions to enhance patient care and optimize operations.
1. Introduction
2. Significance of EHR Trends
3. Top 10 EHR Trends Shaping the Healthcare Industry
3.1 EHR Interoperability
3.2 Patient-reported Outcome
3.3 Patient Portals
3.4 Generative AI
3.5 Cloud-based EHR
3.6 Voice-enabled EHRs
3.7 Predictive Analytics
3.8 Robotic Process Automation
3.9 Telehealth-EHR Integration
3.10 Blockchain for EHR Data Integrity
4. Future Scope
1. Introduction
Electronic health records (EHRs) have transformed the medical industry by revolutionizing how medical information is recorded, accessed, and utilized. This article focuses on the EHR trends and innovations that have reshaped the healthcare field, paving the way for a more efficient and patient-centric future.From enhanced interoperability to cutting-edge technologies, professionals can unravel the key trends propelling future of EHR toward a new era of healthcare delivery.
2. Significance of EHR Trends
The importance of EHR software technology trends is highlighted by their transformative influence on the healthcare sector. This transformation was further expedited by the impact of the COVID-19 pandemic, which played a critical role in the increased adoption of telehealth services. As the pandemic necessitated alternatives to in-person visits, the demand for efficient and remote medical services surged, propelling telehealth to the forefront. Yet, looking beyond pandemic responses, the ongoing adoption of EHR trends in healthcare can significantly reshape how healthcare functions. Embracing these EHR trends enhances efficiency, facilitates personalized care, improves data exchange, drives data-driven insights, and empowers patient engagement. Irrespective of global events, it remains essential for healthcare facilities to stay abreast of these trends to remain adaptable and deliver optimized care, ultimately benefiting both providers and patients.
3. Top 10 EHR Trends Shaping the Healthcare Industry
Recognizing significant industry trends becomes crucial in a field that is constantly subject to technological advancement and global change. From adopting advanced technologies to prioritizing sustainability and customer-centric approaches, these EHR trends hold the power to bring about significant transformations across the healthcare sector.
3.1 EHR Interoperability
EMRs face a notable limitation in their ability to integrate with other systems, whereas EHRs offer robust interoperability, enabling seamless data exchange among healthcare facilities. As the demand for interoperability grows, the distinction between EMRs and EHRs becomes increasingly blurred, with vendors referring to products as EMRs that closely resemble what was initially known as EHRs. In response to this trend, developers and IT specialists continually update EHR systems to comply with interoperability policies, making EHRs more appealing for organizations seeking comprehensive and connected healthcare records.
3.2 Patient-reported Outcome
Patient-reported outcome or PRO EHR integration involves incorporating patient-reported outcome measures into electronic health record systems. PROs gather information directly from patient records about their health status, symptoms, and quality of life. These insights provide valuable subjective data for healthcare providers. For orthopedic patients at the clinic, completing surveys on their smartphones via a mobile link is easy. Clinicians can access patient responses during or after appointments to offer tailored care recommendations based on survey readings. Access to patient-reported outcome data empowers clinicians to deliver patient-centered care, fostering greater patient involvement in their treatment journey.
3.3 Patient Portals
Patient portals in EHRs are pivotal in modern healthcare practices as the industry embraces digital transformation. Patient portals within EHR systems are crucial to empowering individuals and facilitating communication between patients and healthcare professionals. These portals enable patients to access their personal health information securely. Patients can schedule appointments, ask questions, and even have virtual consultations, making healthcare more accessible and patient-centered. With improved communication and engagement, patient portals bridge the gap between individuals and healthcare professionals.
3.4 Generative AI
Integrating generative AI tools with Electronic Health Record systems holds immense promise for advancing healthcare industry. Generative AI can significantly enhance EHR software precision and overall technology, resulting in streamlined daily workflows and enabling healthcare providers to prioritize patient care. By utilizing patterns and structures from existing data to create new content resembling the training data, generative AI brings valuable improvements to EHR systems. These benefits include efficiently filling in missing data, enhancing clinical decision support, automating documentation and coding processes, and ensuring billing accuracy, thereby alleviating the burden on healthcare providers.
3.5 Cloud-based EHR
Cloud computing is gaining traction as medical organizations explore the benefits of outsourcing administrative and clinical services, including medical billing, reporting, lab integration, and more. With the increasing adoption of EHR systems, the advantages of easy access to patient data have become crucial. As the patient population continues to grow, the complexity of data rises, demanding solutions that ensure secure storage and accessibility. Embracing cloud-based infrastructure becomes imperative in this scenario, granting healthcare professionals the flexibility to access data using tablets or smartphones safely. This integration empowers clinicians to enhance their productivity in the clinical environment, laying the groundwork for long-term success by offering mobility solutions that cater to evolving healthcare demands.
3.6 Voice-enabled EHRs
Integrating voice recognition technology with EHR systems is a significant advancement for clinicians. By allowing hands-free input of information and patient data, voice recognition technology reduces inaccuracies and speeds up information recording. Additionally, with the support of AI, EHRs equipped with voice recognition can assist doctors in recognizing historical patient trends and making accurate diagnoses. As companies strive to incorporate AI into EHRs through voice-enabled technology, physicians can effortlessly access patient data and inquire about specific health parameters, such as the last recorded iron levels from a blood test. This streamlined approach improves efficiency and enhances the overall healthcare experience and decision-making process.
3.7 Predictive Analytics
Predictive analytics applications have become a significant driving force within the healthcare industry, yielding profound impacts on diverse areas, including cancer treatments and emergency staffing optimization. As the field continues to evolve, the adoption of predictive analytics technology is expected to expand further. Specialized healthcare app development services utilize AI-powered analytic methods, such as statistics, data mining, and modeling, in conjunction with AI capabilities to offer clinical outcome predictions based on real-time device data and electronic health records. This integration aims to elevate the patient experience and improve care delivery, equipping healthcare professionals with valuable insights to make more informed and proactive care decisions.
3.8 Robotic Process Automation
Robotic Process Automation (RPA) is driving the expansion of the automated data capture market for electronic health records worldwide, owing to its ability to enhance workflows and ensure increased accuracy. By automating data capture through robot-based processes, RPA eliminates the need for manual data entry, leading to improved precision. In the healthcare industry, RPA serves as an effective technique to address EHR flaws without requiring a complete system redesign, permitting the utilization of digital labor to preserve efficient processes while resolving underlying issues. By employing system algorithms and programs, RPAs efficiently automate tasks typically carried out by human resources, accelerating the digitization of medical facilities and promptly addressing imperfections.
3.9 Telehealth-EHR Integration
Integrating EHR systems with telehealth platforms revolutionizes healthcare by facilitating remote care and streamlining clinical workflows. This alliance will enable medical organizations to deliver high-quality patient care from a distance while ensuring the swift and secure transfer of patient information between systems and interfaces. The combined power of telehealth and EMR systems enhances virtual care activities, automates data entries, and synchronizes insurance information in a single window, thus optimizing efficiency and productivity for healthcare providers and their staff. Moreover, this integration strengthens patient-physician engagement and fosters seamless collaboration among healthcare teams.
3.10 Blockchain for EHR Data Integrity
While blockchain technology gained prominence through its association with cryptocurrency, its application in healthcare is steadily gaining momentum. By utilizing cryptography, blockchain ensures the utmost security and integrity of EHR data, limiting access to authorized individuals only. In healthcare, blockchain brings value, from validating clinical trials and verifying claim results to monitoring medicine distribution, authenticating prescriptions, and combating insurance fraud. Additionally, smart contracts leverage blockchain to automate actions based on predetermined outcomes, reducing the need for extensive human involvement. Although the adoption of blockchain in healthcare technology is still in its early stages, several EHR systems have already incorporated it to enhance security, scalability, and confidentiality measures.
4. Future Scope
The convergence of IoT devices and big data technology is set to revolutionize the healthcare experience, offering unprecedented digitization and patient engagement. The disruptions brought on by the COVID-19 pandemic have underscored the need for healthcare institutions to adapt and embrace technological advancements. Careful selection of the right EHR system is crucial for healthcare organizations, and a structured approach that involves key stakeholders, requirements definition, vendor evaluation, and implementation planning is essential for successful EHR implementations. The ultimate goal remains to enhance patient care, streamline workflows, and achieve operational efficiencies. While EHRs have already made significant strides in the industry, the future of electronic health records holds even more excellent benefits and technological impact, with healthcare mobile app developers playing a vital role in the value-based healthcare model and preparing for EHR optimization.
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