Category: Blogs

The world has witnessed a tremendous change in digital adoption by the Healthcare sector. Even though digitalization in the Healthcare sector has been a continual process since a very long time, Covid-19 has completely changed the rate of this adoption. The advancements in software for the healthcare industry can help in saving the lives of millions by simplifying complex procedures as realized during this pandemic. The objective of these newer technologies is targeted towards a more refined and accurate diagnosis.

In our earlier blog, we talked about the complexities in healthcare software development. Through this blog, we will talk about the importance of custom software development in the Healthcare sector.

The healthcare industry is huge, with the value of the global healthcare market at a staggering $7.724 trillion, according to the Deloitte Global Health Care Outlook report. In the five-year period between 2014 and 2019 alone, the industry experienced growth at a CAGR of 3.1 percent. The industry encompasses hospitals, clinics, and other companies that: (i) provide clinical services, (ii) offer healthcare-related support services such as medical coverage, or (iii) develop medical equipment and drugs.

The healthcare industry consists of a range of sub-industries, with each sub-industry focusing on a specific area. The three major healthcare sub-industries are:

• Life sciences, which include med-tech, manufacturers, pharmaceutical industry.
• Healthcare financial services, such as medical insurance carriers.
• Healthcare providers, including hospitals, medical research facilities, physicians

Some key examples of how custom software development has transformed the healthcare sector is as below:

• One of the most important tools that have changed the healthcare sector is the Hospital Management Systems (HMS), also known as, Hospital Information Systems (HIS). HMS are comprehensive integrated software solutions that can handle different aspects of hospitals and clinic’s workflows.
• An Electronic Health Record (EHR) is another such system that collects all of a patient’s data and history where data is electronically stored in a digital format. These records can then be shared across different healthcare systems.
• Other important applications are healthcare mobile application and wearable devices. There are many types of healthcare mobile apps serving several health aspects such as fitness, women’s health, personal health recording, drug management and doctors’ consultation apps as well.

Below are few key benefits that custom software development offers to the Healthcare Sector:

·        Advanced Diagnosis:

The software development and technology have the power to revamp the healthcare industry to provide efficient operations management and, at the same time, advanced diagnosis.

·        High-Quality Patient Care:

The long queues in hospitals delay the consultation process. It is one of the major pain areas where patients suffer the worst. With the inception of AI-driven software, this problem can be solved to a large extent. Practo, 10to8 Scheduling Software, Intelligent Medical Software, Veribook, Cogsworth, are some of the top consultation software.

·        An Integrated and Multiplatform System:

The custom healthcare software integrates the multiple workflows that the healthcare industry operates on a daily basis. Custom-made software can synchronize multiple simple and complex processes including human resources, finance, OPD, inventory, etc. at one place.

·        Data Security & Privacy:

Nowadays every cloud, email service provider, search engine, chatbot, website along with applications are getting HIPAA compliant to offer optimum data security. The Healthcare sector generates a large chunk of data every day and they are extremely customer sensitive. In such instances, data security becomes of paramount importance. Hybrid applications help to protect a patient’s data against any malicious attacks or data breaches. The patients feel secure while sharing their personal information in such a custom-made application as against the traditional methods still prevalent in some parts of the world.

·        One-size-doesn’t-fit-all:

Since, Off the shelf software have been crucial in the advancement of the healthcare industry, that has recently gone for a toss, given the changes in requirements of different players in the industry. Healthcare organizations differ in terms of their processes, patient care, operation areas, technologies, methodologies, and approaches. Off the shelf software can barely cater to these changing needs. Custom software can not only bridge these gaps but also boost digital automation in these organizations.

·        Growth & Scalability:

Electronic Medical/ Health Records (EMRs / EHRs) keep the data of numerous patients in a secure place hosted on a cloud. This helps in decreasing operating costs and eventually increases the ROI of any healthcare organization. Such custom software is well suited and easy to adapt for massive business growth. By selecting a vendor with expertise in delivering healthcare software development or a healthcare app development company like Pratiti, healthcare organizations can achieve long-time sustainability by getting a scalable solution built. This further enables hassle-free operation, smooth maintenance, and efficient work processes.

·        Improves your Healthcare Standard:

Custom software remodels the traditional healthcare setup by digitalization with advanced systems, automation, and cutting-edge technologies. Customization helps in revamping every minor process starting from patient appointment management to data storage.

Conclusion:

Personalization is the need of the hour in the Healthcare Industry. Custom healthcare app development or custom healthcare software development can improve the existing systems and infrastructure of any healthcare organization by enhancing and enriching every patient touchpoint.

Pratiti Technologies has served as a reliable technology partner for several healthcare SMBs as well as Enterprises for the development of custom healthcare apps or custom healthcare software as per their requirements. We are currently working with one of the emerging European start-ups in building a global digital health management platform to bring healthcare stakeholders like Patients, Hospitals, Practitioners, Insurance providers, caretakers under a single umbrella. We are also assisting one of the US-based hospital chains in developing their cloud-based next-generation EHR and Chronic disease management (diabetes) platform.

Contact us today to build sophisticated custom software solutions for your unique requirements. Our specially designed tools are sure to enhance the standards of healthcare service and delivery at your institution.

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Digital Product Development Company | Digital Twin Platform | Industrial IoT Companies | IoT App Development Company

Coined as one of the ultimate means of establishing communication between several objects or ‘things’ that are powered by technology, IoT has indeed come a long way.

Today, IoT drives business processes that span from modern product development to conventional businesses like agriculture. IoT has ushered in nothing short of a revolution.

According to a study, the number of IoT devices in 2019 was 26.66 billion and is estimated to reach a staggering 31 billion by the end of 2020, making the global IoT spend amount to 1.29 $ trillion.

As more and more businesses look for IoT adoption, they are faced with a burst of options in the crowded IoT solution provider market. Since the IoT solution provider is going to heavily define the scalability and security of the end product, making the right choice is both critical as well as overwhelming. According to a report by Cisco , over 75% of the IoT implementations are failing for varying reasons, and the wrong IoT solution provider seems to be one of the major factors.

In this article, we’ve listed down the traits of an IoT solution provider that help in addressing the key roadblocks in a successful IoT implementation. The best IoT solution provider demonstrates these traits:

Is knowledgeable about security

For any IoT solution provider, offering enhanced security features is imperative. From multiple authentications to end-to-end encryption, security modules need to be incorporated into your IoT implementation right since the inception.

Hence, your chosen IoT solution provider needs to be abreast of the security best practices and has to have hands-on experience in streamlining secure data exchange. You need to also ensure that your IoT solution provider has a deep understanding of upcoming security protocols for evolving systems in the future.

Is ready to scale with you

In a constantly evolving market, scalability is crucial for being relevant. Your business needs to be ready to deliver to the dynamic needs of the market. A growing business also drives in more data that needs to be effectively managed and repurposed for the business. So even if you are just starting, it is important to envision the future run of your business and choose an IoT provider that supports you in scaling.

An IoT provider that is able to scale the solution as your business grows, is proactive, and has the best-in-market expertise for hardware and software to be your ideal companion in the scalability journey.

Has hardware and software expertise

Developing an end-to-end IoT solution is no piece of cake. It requires impeccable hardware and software knowledge that needs to be well demonstrated. From cloud architecture to embedded system design, data analytics to application enablement, the domain knowledge of the IoT solution provider is intrinsic for a successful IoT implementation.

Look for IoT solution providers that not only have developers with diverse skills making use of the latest methodologies but also help in the smooth transition of several protocols and support with appropriate bandwidth for data transfer and communication. An IoT solution provider with domain expertise can also be monumental in disaster recovery in case things go downhill.

Read: Yes, IoT Product Development is Different

Facilitates faster time to market

Enterprises today cannot wait forever for IoT implementation. The ideal IoT solution provider deploys IoT apps using templates, leveraging rapid app development frameworks and provides flexible deployment models improving the time to market for your business.

Offers comprehensive solutions

Your IoT implementation is not static and can change as your business scales. Along with scalability, your IoT solution provider should be able to offer comprehensive solutions under one umbrella – including frameworks that work across web and mobile, enriched with intuitive dashboards that provide valuable insights and analytics.  This will ensure that you can rely on just one provider and do not have to shop around to address different requirements.

Accommodates right into your budget

Let’s face it. IoT implementation is costly. Especially for small businesses that are just starting out, IoT implementation can be a huge decision that can impact finances. So, while IoT solution providers that make grand presentations and chalk out colossal plans, albeit unattainable, it is important not to let that impact your budget.

You have to look for an IoT solution provider that is ready to implement in smaller stages so that you can carefully allocate budget and expand sustainably. The best IoT solution provider also has a deep insight into several cost-saving choices, such as choosing public infra or opting for opensource to make small developments.

Has hardware and software expertise

Developing an end-to-end IoT solution is no piece of cake. It requires impeccable hardware and software knowledge that needs to be well demonstrated. From cloud architecture to embedded system design, data analytics to application enablement, the domain knowledge of the IoT solution provider is intrinsic for a successful IoT implementation.

Look for IoT solution providers that not only have developers with diverse skills making use of the latest methodologies but also help in the smooth transition of several protocols and support with appropriate bandwidth for data transfer and communication. An IoT solution provider with domain expertise can also be monumental in disaster recovery in case things go downhill.

Read: Yes, IoT Product Development is Different

Facilitates faster time to market

Enterprises today cannot wait forever for IoT implementation. The ideal IoT solution provider deploys IoT apps using templates, leveraging rapid app development frameworks and provides flexible deployment models improving the time to market for your business.

Offers comprehensive solutions

Your IoT implementation is not static and can change as your business scales. Along with scalability, your IoT solution provider should be able to offer comprehensive solutions under one umbrella – including frameworks that work across web and mobile, enriched with intuitive dashboards that provide valuable insights and analytics.  This will ensure that you can rely on just one provider and do not have to shop around to address different requirements.

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Industrial IoT Companies | Digital Product Development Company | Healthcare App Development Company | Digital Twin Platform

Technology is the future of human well-being.

No matter how reiterated this sounds, it is indisputable that technology has made inroads into every area of human life and has revolutionized practically every activity and industry. Every single day, technology has been making new advancements to streamline human life.

Digital Twin technology is gaining rapid momentum in the last decade, and Gartner listing it as one of the top technology trends in 2018 affirms that it is more than just a buzzword.

In this article, we will discuss how digital twin technology has remodeled several industries. But let’s start with the basics.

What is a Digital Twin?

A digital twin or virtual twin is the digital replica of a product, an operation, or a system. It is a representative digital imaging of a real-life system or an IoT device. A digital twin is connected to its physical counterpart to generate real-time data using sensors. A digital twin is the modern version of cross-reality environments, co-spaces, and mirror models. Digital twin integrates several technologies, including cloud, Internet of things (IoT), AI (Artificial Intelligence) and ML (Machine Learning).

The components of a digital twin of any product include:

• The actual physical item operating in real space
• A machine language-based version of the item – a twin
• Real-time data obtained from sensors that link the physical item and its virtual twin

Digital twins are widely used to build predictive models and carry out simulations across manufacturing, healthcare, supply chain management, and the energy sector. The digital twin market is consistently growing thanks to its wide range of applications and is expected to reach 20 Billion USD by the year 2025.

Let us discuss how digital twins are used across several industries.

Applications and Use Cases of Digital Twin

·        Healthcare

Improved patient care is one of the top priorities of healthcare systems. With remote healthcare and telehealth gaining momentum, leveraging technology to improve diagnosis and offering relevant treatment that hits the bull’s eye is critical. Digital twin facilitates virtualization of surgeries to minimize errors and gain a better understanding of possible problems in advance, before actually operating on the patient. Digital twin technology also helps in replicating hospital environments to attest to safety and performance. A digital twin in healthcare can be generated using data fed by wearables on the patients to closely monitor and replicate the vitals and activity to provide patient-centric care for common healthcare deliverables such as nutrition, dietary, and lifestyle changes.

·        Manufacturing

IIoT (Industrial IoT) is no more a buzzword. With the arrival of Industry 4.0, if we can expect any sector to go under a complete metamorphosis, it is manufacturing. Smart factories are the new normal. Smart, highly connected devices and systems, 3D modelling, and severe penetration of the internet are a prerequisite to drive the Industry 4.0 initiatives.

In manufacturing, digital twins are used for the design and validation of products before they are actually deployed to the market. It is widely used for digital machine-building and performance tuning by simulating the digital twin to check for performance and errors.

One of the key challenges in successfully driving Industry 4.0 is training the workforce to use. With digital twins, training can be expedited without actually involving the systems. A digital twin is also a key driver of device health monitoring to eliminate unplanned downtimes and cost-effective troubleshooting through predictive maintenance.

·        Energy

Ever-changing customer demands, growing concerns around sustainability, and globally escalating energy consumption call for an energy revolution driven by IoT. As the energy sector moves towards sustainability, improved grid management, smart grid technologies, and smart meters, predictive maintenance of these systems is more important than ever. Digital twin technology integrated with IoT-based sensors helps in offering predictive maintenance and remote troubleshooting by continuously monitoring working conditions, real-time system status via replicas of energy plants.

With digital twins, curbing energy losses, providing real-time system performance insights, discovering events, and providing end-to-end insights into the entire energy portfolio is possible. Thanks to its multifold benefits, digital twin technology is widely adopted by energy industry giants such as Shell Chemicals.

Read more: Solar Digital Twin – Importance of Digital Twin in Renewable Energy

·        Smart Cities

Building and designing cities rich with infrastructure to meet the growing demands of energy with conscious and sustainable choices is the need of the hour. Digital twin technology is now experientially used to model smart cities before implementing them on a large-scale. Digital twin helps in creating virtual replicas and 3D models of an entire city with buildings, the urban infrastructure of roads, transport, and vehicles to pave the way for efficient planning and truly democratizing smart city designing.

Closing lines…

The digital twin technology has been around for more than a decade, but with the integration of IoT and smart connected devices, now is the time to make use of it like never before. The times ahead are exciting indeed, and it’s about time that organizations across industries adopt digital twin technologies to be ahead in the curve. Contact us today to discuss how you can leverage digital twin in your organization.

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Solar Energy Analytics | Offshore Software Product Development | Industrial IoT Solutions | Digital Product Development Company

When it comes to healthcare software and solutions, one of the biggest challenges that developers face is ensuring user-centricity. Since modern healthcare solutions are often used by a variety of people across the healthcare value chain – including doctors, nurses, lab technicians, and even patients sometimes – it is important to move away from a product-centric approach to a user-centric approach. Any software that is developed for the healthcare industry needs to be done by keeping the end-user in mind. This means offering an attractive design, ensuring an easy-to-use interface, and enabling seamless access, so the right healthcare decisions can be taken.

Setting the Foundation for Real-Time Access and Multi-Device Support

Health data is typically accessed by a variety of people using a range of different devices. Healthcare applications, therefore have to be able to reflect real-time information across an array of devices for the right decisions to be taken. However, setting the foundation for real-time access and multi-device support is often challenging. Embracing concepts like Agile, DevOps, and microservices can allow healthcare software developers to develop responsive websites and cloud apps, implement new features and updates easily and offer a seamless experience to users across different devices.

Keeping up with Evolving Cybersecurity Requirements

In the healthcare industry, cybersecurity breaches can have a long-lasting impact on healthcare outcomes. Since large volumes of critical patient health and personal data get stored on a daily basis, modern networking capabilities result in new vulnerabilities being exploited and new attack surfaces being created. Keeping up with evolving cybersecurity requirements means healthcare software has to be protected against ransomware, data theft, misuse, and data breaches. Implementing robust firewalls, updating firmware, and applying patches should all be a continuous process to identify suspicious activity and take necessary actions.

Enabling Integration and Connectivity to Various Systems and Devices

Given the nature of the healthcare industry, the interoperability of systems is a requisite. Patient’s health data (historical as well as current) and diagnosis and treatment information should always be easily and securely accessible by decision-makers who need it. Therefore, every software that is developed needs to be highly interoperable. To enable the health information system to work in collaboration within/across organizational boundaries, systems with high integration capabilities need to be developed, so they can fetch critical health or treatment-related data from other systems – as and when needed.

Building Systems for High Availability and Scalability

Unlike in other industries, ensuring high uptime and availability of healthcare systems is extremely crucial to be able to take the right healthcare decisions. Even a single millisecond of downtime in the medical field can mean the difference between life and death. Building systems for high availability, uptime, and scalability is another challenge the technology teams always face in healthcare software development. Embracing technologies like cloud computing and Digital Twin is a great way to ensure data is always secure, accessible, backed up, and scalable.

Developing Low Latency Systems for Quick Decision-Making

Given healthcare decisions have to be taken as quickly as possible, developers also have to contend with the challenge of developing low latency systems. Since any delay in accessing the software or pulling required information can delay the decision-making process, developers have to embrace tools and technologies that can accelerate time-to-value. Edge computing makes it possible for data to be analyzed closer to where it is needed, improving response time while saving precious bandwidth, which can then be utilized for other critical healthcare processes.

Capturing a Huge Volume of Data from the Growing Number of Healthcare Systems and Devices

The value data brings in the healthcare sector is unimaginable. It can help predict diseases, enhance diagnosis and treatment epidemics, accelerate drug testing, and improve the quality of life. Yet, capturing a huge volume of data from the growing number of healthcare systems and devices and driving value from it is a constant challenge. Technologies like big data, AI, and machine learning can streamline the data analysis process in many ways: they can provide powerful insights, detect trends and patterns in data, optimize inventory management, and also improve patient care outcomes.

Maintaining Confidentiality of Patient Data

Healthcare software development also brings the challenge of maintaining the privacy and confidentiality of patient data. Since every system or solution collects and stores various degrees of patient data, including personal information, health readings, diagnosis, and treatment data, they are highly susceptible to a breach. Building robust strategies from the beginning of the healthcare software development process that clearly define how data will be collected, stored, and deleted is a great way to maintain the confidentiality of patient data. So is ensuring compliance with standards such as HIPAA that describe critical steps to protect information.

Healthcare software development provides numerous opportunities for developers to drive value. What’s important is to be aware of the complexities and take steps to mitigate them in time. Are you ready to make a difference? Please contact us today to create a difference.

With the expanded utilization of renewables, changing customer demands, and sustainability concerns, digitalization has become the single greatest empowering agent of this shifting transformation. This is why digital transformation in the renewable energy sector has picked up immense space in the last few years, with many companies adopting emerging technologies across IoT, cloud, analytics, digital twin, and others. These technologies are helping companies build (and manage) smart grids, optimize production (and costs), and meet the growing energy needs of the world – while curbing wastes all along the way.

Digital Twin in Energy

Digital twin technology is completely changing how energy is produced, managed, and distributed. By providing a ‘digital twin’ version of the physical power plant that monitors every asset, the technology is offering energy companies with critical insights to improve operational performance – from a service and maintenance perspective. It is helping energy companies become more agile at managing production (and supply), resulting in improvements in both distribution and management of energy – which also translates into efficient end-user consumption.

Because digital twin continuously updates data gathered from multiple sources, it does a great job in representing the real-time status, working condition, or position of energy assets. They make use of advanced analytics capabilities to generate insights and turn them into action for optimized asset performance. The ability of the technology to help in business decision-making based on real-time data analytics is helping energy companies to build competitive advantage.

Listed below are some benefits that digital twin brings to the renewable energy sector:

• Provide end-to-end insight into energy portfolio:

Digital twin offers a one-stop overview of the entire energy portfolio and provides critical insights related to portfolio and assets. Energy companies can receive important alerts, resolve issues with respect to SLAs, and subscribe to insights related to power plant operations. They can also compare operations across multiple plants and take decisions to improve energy production and management.

• Drive effective health assessment:

Based on the information gathered from IoT sensors, a digital twin can provide insight into the long-term health degradation of OEM devices. By analyzing health information of all critical components, they can predict their health, spot issues, and prioritize inspection checks. They can also help understand the behavior of the different components, compare it within the portfolio, and optimize asset health using modern health enhancement techniques.

• Deliver real-time performance insights:

A digital twin is capable of performing real-time performance benchmarking of energy plants and its assets. Such benchmarking can help companies create custom KPIs and track custom performance metrics. They can get visibility into the entire power plant performance and also choose to receive performance-related notifications.

• Help curb energy loss:

For energy companies, any energy wastage or leak can result in substantial revenue losses. Digital twin can help summarize energy dissipation across the plant and assets – providing deep visibility into energy loss of the plant at a single glance. Energy companies can get a detailed breakdown of each loss component and benchmark losses against budgeted values. It can also discover energy losses that are recoverable and enhance energy gains in the long run.

• Optimize inventory management:

Digital twin captures a digital replica of solar grids and provides up-to-date information about solar plant assets. It maintains a real-time log of solar plant topology and links them to the SCADA system to map correct assets with the correct data. Such mapping helps in optimizing plant configuration as well as in streamlining inventory management for better energy generation and management.

• Proactively discover events:

Given the far-reaching impact unplanned events can have on energy production, digital twin offers the capability of proactively discovering events across the energy portfolio. In addition, it can help create and manage custom events related to asset status /milestones /performance /health and assign events to raise tickets to effectively manage SLA. Plant managers can get notifications on email and mobile phone and carry out event analytics to determine future optimization routes.

Choose Apollo as your energy analytics solution

A digital twin-based analytics engine, Apollo meets the energy optimization needs of the renewables sector. It offers real-time updates on plant conditions, so better-informed decisions can be made on whether pre-set benchmarks can be reached or if adjustments are required. It is interoperable, proven flexible, and easily configurable – so you can meet your energy needs with ease.

When integrated with SCADA, it can deliver features such as benchmarking, root cause analysis for failures, intra-day power prediction, and performance forecasting, among others. With Apollo, you can spot faulty areas, improve production processes, and establish efficient and effective supply and delivery chains. You can also predict maintenance issues, improve asset lifetime, track where assets are located (or how they are functioning), reduce downtime, and enhance the performance of your plants and its assets.

If you’re looking to optimize your energy assets and portfolio, benchmark asset performance, streamline operation and maintenance, increase yield and improve your plant’s performance, choosing Apollo as your energy analytics solution can help you achieve all this and more. Get in touch with us today to learn how our patented digital twin technology can help your organization grow faster and operate smarter.

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Solar Energy Analytics | Offshore Software Product Development | Digital Product Company | IoT App Development Company

DevOps needs no introduction in 2020! The pandemic has prompted many organizations to realize their innovations faster and pivot their software development, internal processes and business level strategies for a quicker innovation. If you are overwhelmed by the volume of projects, constraints in delivery demands for constant change and a continuous flow of development and configuration migrations, you probably needed DevOps yesterday. Time is not all too lost though, and they say it is never too late to adopt something. DevOps can help you specify, design, develop, maintain, deploy and host applications as well as increase your ability to deliver on business requirements. On the flip side though, DevOps can be inherently complex, especially if you need entire teams just to implement it and a lot of time and effort invested in learning the tools and techniques to make it effective.
As per the State of DevOps Report, high-performing IT organizations have 200 more frequent deploys, recover 24 times faster from failures, have a 3x lower change failure rate and 2,555 times shorter lead times. And, employees in high performing organizations are twice as likely to recommend their organization to a friend as a great place to work resulting in attracting top talent easily. High performers spend 22% less time on unplanned work and rework and 50% less time on remediating security issues than low performers. Below, we will discuss on signs company needs DevOps and is DevOps ready:

1. How Agile Are You and Are You Ready for Culture Change?

Smaller companies are usually more agile given their size compared to large companies who may struggle to fully exploit DevOps. Adopting DevOps means you will need to achieve change in the whole organisation and not just optimise parts of the process. DevOps deployment means a new culture is necessary with methodologies and development processes that cover both developers and operations. The goal is to make everybody work together without silos or bottlenecks where they may exist in current IT processes.

2. Do You Support the Open Source Movement?

Is your team willing to share their findings and collaborate with other departments? Can you establish a sharing culture for tooling, methods, knowledge, procedures and data, successes and failures? Developers, testers, IT security and operations will have to collaborate to improve processes and automate where possible. This will require a culture change where historically these functions are used to working in separate silos. After DevOps deployment, some developers may also be required to accept a higher level of responsibility for the production environment to ensure that their code is easy to fix or doesn’t break anything. Operations will need to hand over a part of their role to Dev and provide access to everything needed for the production environment. Operations will also have to help create capabilities for Dev to create new dev, production or test instances and also create solid easy routines for backups/restores in case things go south.

3. Are You Willing and Able to Implement New DevOps Tools?

Once you’ve aced the cultural shift and you’ve got the right skill sets in your team, you will need to assess which tools to use for adopting DevOps and DevOps deployment. The right tools are crucial, and you are likely to need access to infrastructure, configuration management tools, continuous integration and continuous delivery tools, monitoring and logging software such as Jenkins, Ansible, Chef, Puppet and Salt to name a few. You will also need employees with skills in both Development and Operations for which you might have to retrain some of your staff which can take time and benefit in the longer term than in the shorter run.

4. Are You Willing to Start-Up Small and then Scale Up? Are you Willing to Automate Everything to Innovate More?

Use a small project for a deployment similar to what the digital product companies do by building POC for products, where a DevOps style of work would be beneficial, such as a microservices architecture implementation, and test and accept the tooling, processes and routines. Use this project as a model for a larger implementation later. Automation should reduce human error, break silos, bottlenecks, be easier to perform and decrease dependency on key personnel being available.

5. Have You Already Adopted DevOps and are Knee Deep in DevOps but Don’t Know if You are Meeting Your Goals?

It is important to measure the impact and performance of any process. Common metrics you might like to measure are ‘deployment frequencies’, ‘mean time to recover’, ‘from commit to deploy’ and ‘Change Failure Rate’. Your company will need to find which metrics are the most important to you though and hopefully in time the DevOps team will be keen to prove how they have improved performance.

A Few Other Quick Ways to Check Whether You Are DevOps Ready Are:

• Do you have poor control over code release and configuration processes?
• Do you have the time and effort necessary to learn all the tools and techniques that make DevOps effective?
• Do you have enough budget to establish a DevOps culture?
• Are you prepared to continuously evaluate and improve chosen processes, routines and tooling?

If you want a quick check try using dnsmap to assess if you have rogue subdomains and retire.js to find outdated risky JavaScript libraries. The answers you find will help you assess how secure you are and by default whether you’re ready to move to DevOps. DevOps was a buzz till yesterday and today organizations are implementing it at a high rate. If you want to implement DevOps in your organization, you should have a DevOps partner to understand its advantages and use cases. Our team of DevOps can assist you to fasten your application development and delivery.

At Pratiti Technologies, we help teams put together strategies focused on their unique needs, strengths, and goals. Contact us today to learn more about how we can help you build your DevOps strategy and help it mature over time.

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Digital Product Development Company | Healthcare App Development Company | Digital Twin Platform | IoT App Development Company

Manufacturing companies are achieving only 40% of their real potential because they’re wasting valuable time manually carrying out tasks when their peers are busy embracing modern technology to build futuristic factories.

As digital transformation sweeps across the business world, manufacturing companies can no longer depend on traditional approaches to run their business. They need to start getting rid of their legacy systems, augmenting processes, and implementing new technology to keep up with the pace of digital change.

For instance, in the avenue of inventory management, digital transformation can allow manufacturers to see the location and quality of goods in real-time, get updates on availability of raw materials, work-in-progress and finished products, and optimize inventory levels – based on the demand. Such traceability can enable them to improve production efficiency and gain greater speed and scale over competitors.

In the area of quality assurance, digital transformation can help streamline the quality and risk management while allowing manufacturers to ensure compliance with the growing list of regulations. By exploiting new-age technologies, manufacturers can detect quality issues in products and processes more easily and make amends to meet the quality demands of modern customers.

Similarly, on the production floor, digital transformation can provide plant managers with real-time insights into activities while allowing the workforce to be productive and safe. Such insight can help in keeping machines running to their maximum capacity – without interruption – and enabling staff to make repairs before they impact throughput.

Why Manufacturing Companies Need to Get Smart

As the global smart manufacturing market becomes worth $320 billion, the time has come for manufacturing companies to start investing in smart manufacturing initiatives to:

• Get end-to-end visibility into the performance of every equipment and process on the shop floor and improve efficiency in the long run.
• Enable real-time monitoring to understand the health of every machine, spot anomalies, and intervene as required.
• Automate and standardize workflows to reduce the strain on the workforce, minimize errors, and enhance process efficiency for competitive advantage.
• Aggregate and synchronize data across the manufacturing unit and fuel better communication and collaboration for improved decision-making.

The Path to Smart Manufacturing Success

Smart manufacturing is not just about embracing the latest technologies. It’s about a lot of other things that span from understanding your requirements to embracing changes and ensuring your workforce is ready.

Here are some steps that can help you succeed with your smart manufacturing initiatives:

1. Pick the right business case: For manufacturers eager to get smart, wanting to make an enterprise-wide transformation as quickly as possible to stay ahead of the game is understandable. But this approach does not always result in success. If you really want to make the most of the transformation, you need to take baby steps. First, identify the areas of your business that are most likely to benefit from a makeover and build a strong business case. Focusing on process improvements to accelerate the speed of manufacturing and meet rapidly changing customer tastes is a great place to start.
2. Choose the right technology mix: The modern technological landscape is a massive amalgamation of an array of technologies – from the cloud and AI to IoT and AR, RPA, and VR to analytics and digital twins. However, before jumping into the technological melee, it’s important to first understand the different technologies and evaluate ones that will really help you to streamline operations, boost efficiency, and improve profitability. Embracing cloud and data analytics as a first step can help in identifying the challenges you currently face and driving the required efforts to drive the results you need.
3. Ensure you have domain expertise: Achieving success with smart manufacturing also requires you to have the right domain expertise in the systems and processes you’re modernizing and the technologies you are implementing. When you embark on the digital transformation journey, make sure to have a team with deep domain expertise carry out the implementation. Building an in-house team or working with a partner who can bring years of experience and expertise to the table is a good way to maximize smart manufacturing ROI.
4. Train the workforce: Smart manufacturing cannot bear fruit overnight. It requires months and months of sincere efforts, so you establish a culture that motivates the workforce to be open to new technology adoption. Continuously training the workforce and empowering them to change their ways of working is essential to accelerate time to value. Make sure to constantly assess and augment the skills of your employees to ensure they are making the most of the digital transformation.
5. Measure and improve: Just like any enterprise project, smart manufacturing initiatives also need to be constantly tracked and measured. This not only helps your efforts to stay on track, but it also helps you detect deviations and make amendments to your efforts, so you can reach your digital transformation goals faster. Having a robust process in place for measuring the progress (and success) is critical to optimize your smart manufacturing efforts.

With smart factories poised to boost the global economy by $1.5T by 2023, it’s time to pull up your socks! Is your manufacturing organization prepared for the transformation? Get smart, get successful. Contact us today!

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The concept of ‘digital hospitals’ started emerging since the year 2000 when EHR (Electronic Health Records) started gaining momentum and popularity.

Hospitals around the world have started integrating new technologies into their systems, and EHR has been making it possible for them to consolidate and store huge amounts of data. The seeds of the concept of smart hospitals were already being sown during the digitization of hospitals when hospitals started seeing the positive results of it.

Statistics show that by 2025, 10% of hospitals across the globe will become or will have started implementations to become smart hospitals.

Let’s take a look at the top 5 technologies that have a huge impact in shaping the smart hospitals of the future

EHR (Electronic Health Records)

EHR was the first revolution in the healthcare industry, paving the way for digitized hospital management. EHR help hospitals securely store and access patients’ vital information such as medical history, diagnosis, medication, treatment plans, and much more. They play a vital role in aggregating all patient data and make all the important data available to healthcare professionals on time for early diagnosis, prevention, and intervention.

One can quickly access, pull up information in an emergency or exam room, verify the patient history, and imaging of the test results. Quick transfers of medical records, lesser errors, faster action due to availability of data hands-on are some of the many benefits of EHRs. They also help hospitals save time and money through lesser paperwork, fewer storage issues, increased quality care, greater efficiency, and higher accuracy.

Cloud Computing

It is estimated that by 2025, hospitals will spend more than $5 billion in each of the areas of cloud computing, data analytics, and remote patient monitoring.

These numbers are testimony to the fact that cloud computing is increasingly gaining popularity in the healthcare sector. Cloud is instrumental in managing healthcare data, and cloud-based tools are vital in expanding healthcare IT management.

For instance

• With every passing day, the healthcare sector is generating a vast amount of data. Hospitals want to store their data without too much capital investment in hardware and software and that puts cloud into focus.
• The multi-geographical nature of smart hospitals makes the cloud an inevitable solution.
• As cybersecurity threats are increasing, healthcare institutions have started relying on cloud computing for data storage and ensure protection against hacks and data breaches.

The cloud is helping healthcare institutions get the benefits of any time, anywhere data access, centralized control over critical data and systems, and enhanced security of institutional data.

Healthcare institutions are choosing between private, public, or hybrid cloud solutions based on their unique business and administrative needs. However, many times, healthcare institutions lack the ability to make the right choice because of the lack of internal technical capabilities. In such situations, it is recommended to work with a technology expert who can suggest the right mix of solutions based on the internal systems, workflows, users, needs, and budgets.

IoT (Internet of Things)

The IoT in healthcare market size is projected to grow from USD 55.5 billion in 2019 to USD 188 billion by 2024!

Healthcare is one of the prominent sectors warming up to the concept of IoT. Today, hospitals around the world are using IoT devices and sensors to collect, process, and analyze data from various systems such as fetal monitors, temperature monitors, electrocardiograms, blood glucose levels, etc. to deliver better patient care. IoT plays a vital role in delivering valuable and real-time data to practitioners, physicians, and doctors, enabling faster diagnosis and enhanced doctor-patient interaction. Several IoT-enabled apps and systems are allowing hospitals to improve their operational efficiencies and enhance the quality of care.

For instance, smart medication through dispensers helps in monitoring, dispensing, and prescribing medication while also allowing storage of medication at the right temperature. A similar concept of smart beds is making inroads into smart hospitals that can collect detailed information about patient positions and vitals and help doctors deliver better care. IoT is also helping hospitals in better inventory management through remote asset management.

Some more benefits of IoT include

• Enhanced reporting and monitoring
• End-to-end connectivity to enable better decision-making
• Timely alerts and tracking
• Real-time data analysis and insights
• Remote medical assistance

AI (Artificial Intelligence)

Several industry verticals such as manufacturing and banking have already leveraged the power of AI to automate tasks, quickly process information, and enable data-driven decision-making. No doubt Artificial Intelligence(AI) has transformed the healthcare sector as well.

Following are some of the areas where AI has made a significant impact on healthcare

• Remote health monitoring
• Digital consultations enabled by chatbots
• Decision support provided through AI-enabled medical record management
• Precision medicine powered by data analytics
• Image diagnosis using deep learning and artificial intelligence
• Real-time case prioritization
• Robotic surgeries
• Accurate diagnosis, personalized care, and timely intervention for chronic health management

Google’s Deepmind Health project is a good example that demonstrates the capabilities of AI in healthcare. Another example is that of IBM Watson for Oncology. With advanced ability to analyze patient data, it can provide treatment plans that can be personalized by combining data from the patient’s file, clinical expertise, and with the support of external research. The capabilities of data can also be used for the early detection of cancer or vascular diseases.

Big Data and Analytics

The world’s data volume is expected to grow 40% per year, and 50 times by 2020.

The healthcare industry generates, collects, and stores a humongous amount of data for better patient care and optimized hospital management. Big Data Analytics helps hospitals optimally process and analyze this data and provide actionable insights to the stakeholders to take real-time decisions.

Some of the many areas where hospitals are using the power of data analytics include

• Get a 360-degree view of the patients and enable highly personalized care
• Improve patient safety and wellness by getting real-time access to data
• Facilitate remote patient care
• Increase operational efficiencies and lower costs
• Improve population health
• Enable better staff and asset management

For example – The Publique-Hôpitaux de Paris hospitals collect data from a variety of sources to predict the number of patients that are expected to be admitted in the hospital and accordingly enhance staff management. A web browser-based interface is used by doctors, nurses, and other administrative staff to forecast visits and admission rates 15 days in advance. This considerably reduces the waiting time for patients while facilitating enhanced quality of care.

As the concept of smart hospitals is gaining momentum, hospitals have started adopting emerging and sophisticated technologies to enhance operational efficiencies, reduce costs, enhance the quality of care, and ensure patient satisfaction.

It is important for healthcare stakeholders to select the right technologies and solutions that drive the availability of affordable care solutions, reduce complexity, and empower healthcare decision-makers with actionable insight at the point of care.

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