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How AI and Deep Learning is Helping Senior Citizens with Remote Patient Monitoring
Next-Generation AI Solutions for Healthcare
Smart AI solutions and custom-built products empower patient-centric care, where healthcare innovation meets unprecedented patient satisfaction.
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By analyzing big data to create better patient preventive care recommendations, AI in Healthcare can also assist in making Healthcare more proactive and predictive
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1. High volume of invoices
Healthcare organizations only receive 75% of their invoices electronically, leaving the remaining 25% to be processed manually. These paper invoices lead to overwhelming and tedious work.
2. Complex billing and coding systems
The healthcare finance team must have an AP- Automation software for healthcare to avoid confusion while billing due to the overwhelming number of codes associated with insurance policies.
3. Manual processes
Manual processing of patient details and expenses is an inefficient use of time. AP-Automation for Healthcare offers the ability to process information 24/7 without human intervention.
4. Fraud and theft
Fraud for commercial card purposes increased by only 10% in 2021. However, healthcare companies still prefer paper checks over e-payments despite the increased risk of theft through duplication and forgery.
5. Compliance regulations
The AP team's inefficient document system causes bottlenecks, higher expenses, and complicates audits. They need more staff to handle high invoice volumes and manually track past payment dates.
6. Increased costs
The healthcare system is fast-paced, with emergencies constantly arising. Manual management leads to increased costs due to poor efficiency, which can be solved by AP-Automation for Healthcare.
1. High Costs
With inflation rates rising by 3.0% in 2023, Healthcare is no exception to the rising costs of labor and administrative services for providers and payers.
2. Complicated Workflow
Providers spend a precise amount of time optimizing workflows manually with no visibility; this slows down the provider's capability to provide on-time service to patients.
3. Increasing Demand
The demand for patient care has risen significantly due to the rising effect of chronic ailments worldwide, with COVID-19 being the biggest enabler.
4. Data fragmentation
The Healthcare business runs on data-rich processes that get siloed in different systems and are difficult to analyze. With Artificial Intelligence, your business can structure the data according to the required domains.
5. Security & Privacy
30% of all large data breaches occur in hospitals due to the lack of advanced mechanisms and security to protect large data sets against hackers and online malware sites.
6. Adoption of new technologies
Healthcare businesses must catch up to adopting the latest technologies due to security concerns, which can hinder innovation and limit future opportunities.
Predictive Analytics
Calpion provides AI-powered analytics tools that enable clinicians to generate personalized treatment regimens based on genetic features, lifestyle decisions, and other factors.
AI in RCM
AI is a massive benefit to Healthcare RCM. It streamlines operations, enhances accuracy, lowers costs, and improves patient satisfaction. AI executes tasks efficiently, allowing staff to focus on patient care.
Remote Patient Monitoring
AI and Deep learning technologies are implemented in telemedicine and give rise to AI's use in remote patient monitoring. With Calpion Deep Learning technology, all patients receive the care they deserve from the comfort of their homes for prolonged periods.
Medical Image Analysis
AI solutions for healthcare assist researchers and doctors in correctly identifying patients and developing better treatment plans. With AI services, extracting crucial information from medical images and using computational methods to provide a complete understanding to the provider becomes easy.
Workflow Automation and Data Management
Intelligent software systems that improve practice, radiology, and lab workflows by automating repetitive tasks, optimizing real-time patient flow, offering inventory visibility, and more.
Personalized Medicine
With the help of AI and its vast deep learning methods, each patient can receive tailored treatment based on genetics, inheritance, and lifestyle. With Calpion's accurate AI services, your patients will receive maximum personalized care, with treatment plans and cures, and increase long-term retention for your practice.
Deliver Value-Based care with Our Personalized Healthcare AI Solutions
80%
Reduction in time using AI/ML Technologies
70%
Reduction in manual efforts with enhanced AI
48Hrs
Turn-Around time.
Enhance Your Healthcare Business with AI-oriented Benefits
Personalized Engagement
Improving Patient Outcomes
Automate Your Tasks
Offer 24/7 Virtual Assistance
Achieve Medical Innovation with Calpion AI Services
1. High volume of invoices
Healthcare organizations only receive 75% of their invoices electronically, leaving the remaining 25% to be processed manually. These paper invoices lead to overwhelming and tedious work.
2. Complex billing and coding systems
The healthcare finance team must have an AP- Automation software for healthcare to avoid confusion while billing due to the overwhelming number of codes associated with insurance policies.
3. Manual processes
Manual processing of patient details and expenses is an inefficient use of time. AP-Automation for Healthcare offers the ability to process information 24/7 without human intervention.
4. Fraud and theft
Fraud for commercial card purposes increased by only 10% in 2021. However, healthcare companies still prefer paper checks over e-payments despite the increased risk of theft through duplication and forgery.
5. Compliance regulations
The AP team's inefficient document system causes bottlenecks, higher expenses, and complicates audits. They need more staff to handle high invoice volumes and manually track past payment dates.
6. Increased costs
The healthcare system is fast-paced, with emergencies constantly arising. Manual management leads to increased costs due to poor efficiency, which can be solved by AP-Automation for Healthcare.
1. High Costs
With inflation rates rising by 3.0% in 2023, Healthcare is no exception to the rising costs of labor and administrative services for providers and payers.
2. Complicated Workflow
Providers spend a precise amount of time optimizing workflows manually with no visibility; this slows down the provider's capability to provide on-time service to patients.
3. Increasing Demand
The demand for patient care has risen significantly due to the rising effect of chronic ailments worldwide, with COVID-19 being the biggest enabler.
4. Data fragmentation
The Healthcare business runs on data-rich processes that get siloed in different systems and are difficult to analyze. With Artificial Intelligence, your business can structure the data according to the required domains.
5. Security & Privacy
30% of all large data breaches occur in hospitals due to the lack of advanced mechanisms and security to protect large data sets against hackers and online malware sites.
6. Adoption of new technologies
Healthcare businesses must catch up to adopting the latest technologies due to security concerns, which can hinder innovation and limit future opportunities.
Drug target identification
AI, machine learning, and Deep Learning are necessary to analyze huge datasets and provide insights that can lead to discovering and producing new drugs for rare diseases. This procedure includes testing genes, peptides, proteins, or other compounds for medicinal potential and pursuing promising candidates, speeding up the process with AI.
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Drug discovery and material design
AI solutions for healthcare R&D and Biotech enterprises that allow for designing medications and materials in fewer design cycles and reducing experimental burden through AI-enabled forecasts.
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Clinical Trials Solutions
AI-powered software that aids in the identification of new targets, the optimization of trial design, the screening of patients for enrollment, and the successful analysis of trial data. The software even collects patient data, which helps in personalized treatment and improving the patient's experience.
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Protein Image screening
AI is used to automate protein image analysis. AI can aid in identifying and quantifying proteins in images, as well as tracking their movement and localization. Scientists can use AI to detect minor variations in protein expression that indicate illness.
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Predictive modeling
In biotech, predictive modeling is the application of statistical and machine learning techniques to create models that can predict future outcomes. These models can inform various biotech decisions, including drug discovery, bioprocess development, manufacturing, and clinical trials.
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Protein Engineering
Protein engineers can use Artificial intelligence to create novel proteins with precise qualities such as stability, specificity, and activity. These tasks are accomplished by employing artificial intelligence to produce and assess millions of distinct protein sequences and architectures. AI can also be applied to improve the effectiveness or efficiency of current proteins.
AI Empowering Biotech Operations
95%
Reduce the number of testable variants
10x
Time saved by AI
80%
Cost saved
Benefits of Deep Learning Mechanism in Biotechnology
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Time Effectiveness
With the mechanisms of AI, Machine Learning, and Deep Learning, it is easier to automate tasks rather than depend on manual intervention. These solutions can free up scientists' time for more experiments and discoveries. The time invested in deep learning is worth it in the long run for more experiments and accurate discoveries.
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Data Segregation
AI can assist in standardizing and streamlining data integration across various processes and increase drug development speed and efficiency by lowering costs. Many corporations utilize AI to analyze historical data to forecast trial design errors and target medications for certain illness groups.
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Cost Effectiveness
Deep learning can handle large, complex datasets essential for many biotech applications. With the help of AI, it is easy to segregate unstructured data into structures according to the experimental needs and filter out the rest. This saves scientists and staff a lot of time and cost to work on other needs.
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Advanced Analytics
With the help of AI, it doesn't take much time to analyze extensive data. AI and machine learning can evaluate data effectively and provide insights in days or hours. All repetitious jobs, from recognizing patterns to detecting flaws in datasets, can be automated with AI technology.
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Improves Scalability
AI is now a part of the research and development part of the Biotech Industry. The initial stages of scientists conducting experiments for the long term can be significantly reduced by AI collecting complex data sets and hastening the process with predictive reasoning. These techniques can propel processes faster and scale your business.
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Extract Hidden Insights
Biological data like genomic sequences, protein structures, and gene expression profiles can be hard to interpret. Deep learning algorithms can identify non-linear relationships and reveal hidden patterns. This helps researchers make accurate predictions and understand biological processes better.
What Our Customers are Saying
I recently had the pleasure of working with Calpion Inc., and their AI chatbot solutions are top-notch. The team at Calpion is extremely knowledgeable and professional, and they truly understand the needs of businesses in today's digital age. Their chatbot solutions have significantly improved our customer engagement and streamlined our processes.
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VP
Healthcare
Calpion is a game-changer in the healthcare industry. Its intelligent workflow and commitment to excellent patient care have completely revolutionized our operations. The efficiency and effectiveness of Calpion's system has allowed us to streamline our processes and provide top-notch care to our patients.
Director
Healthcare
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Healthcare Blogs
Biotech Blogs
How AI and Deep Learning is Helping Senior Citizens with Remote Patient Monitoring
Over the past two years, many have been apprehensive about our health due to COVID. Because of the risk of getting COVID-19 during in-person medical visits, it is not unexpected that more people are interested in using technology to receive healthcare; nearly three-quarters of Americans think the pandemic has boosted their enthusiasm to try the virtual treatment.
Read moreBiotech Case Studies
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Enable data-led Healthcare Solutions for your business and improve patient care by 85% with our advanced solutions of Artificial Intelligence, Machine Learning analytics, and Deep learning algorithms
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Leverage Artificial Intelligence to Innovate Your Biotech Solutions
Enable AI-powered Solutions for your business and improve productivity and efficiency by 85% with our advanced solutions of Artificial Intelligence, Machine Learning analytics, and Deep learning algorithms
Schedule a Consultation
Please enter your details below and one of our team members will contact you shortly
Thank you! Your submission has been received!
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USA (Headquarter)
Dallas
India Offices
Bengaluru
Coimbatore
Pune
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