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Importance of AI Testing in Healthcare Domain Applications AI applications in healthcare are advancing rapidly, with potential applications being shown across various domains of medicine and healthcare. However, there are currently limited software testing tools and strategies available to test AI-based healthcare products.This article explores the key areas, main challenges and limitations, and approaches of Software Testing of AI-based healthcare domains and considers the steps required to improve current testing strategies.AI applications in healthcare are advancing rapidly, with potential applications being shown across various domains of medicine and healthcare. However, there are currently limited software testing tools and strategies available to test AI-based healthcare products.This article explores the key areas, main challenges and limitations, and approaches of Software Testing of AI-based healthcare domains and considers the steps required to improve current testing strategies.The growing potential of artificial intelligence in healthcareArtificial Intelligence and Machine Learning seem to be the new slang of the 21st century. PwC, a professional services firm predicts that AI will add $16 trillion to the global economy by 2030.AI-ML are general purpose technologies capable of affecting entire economies. It outshines in recognizing micro and macro patterns insignificant to humans and can be very useful.Ever since the probability and idea of making machines learn by themselves came into existence, its applications have been used in almost every sector of the economy and the healthcare industry is no exception.AI nowhas the ability tofind patterns in massive volumes of data that are too complex for humans to notice. It accomplish this by merging data from a range of sources, including linked home devices, medical records, and increasingly non-medical data.AI is finding huge recognition in the field of healthcare andmedical diagnosticsfor the past few decades. However, one section in the healthcare industrythat is relatively new to the use of AI is the verification and validation of medical devices. With the demands placed ontesting applications and reliability towards delivery teamsincreasing exponentially over the years, it has become more important to take a step beyond just automation and start usingAI and ML for medical device testing.Testing of medical devices is a long and important process that should be carried out simultaneously throughout the development process. Integrating AI and ML into this process can be advantageous in many ways, and here are seven major areas that can gain the most from it:1. Data-driven insights: As more and more data is being made available for general processing anddata insight generation,decision science is now mostly driven by calculating usage of AI and ML.Platforms and tools for medical device testing are becoming increasingly available to ferment data in a short period and derive meaningful insights, making it available in real-time.These AI tools can be used during product verification and validation to identify complex scenarios for testing from the requirement traceability matrix.2. Creating test cases:Test cases are mostly designed by highly skilled test and automation engineers. This needs a combination of versatile skills and collaborative effort across teams. By using AI toolstest cases can be generated automatically which takes multiple factors into consideration like functionality, scalability, coverage, loading.AI algorithm has the ability to look inside the code to derive test cases that have a higher probability to uncover defects compared to the manual approach.The useof AI has led to powerful increase in the pace of test development.3. Bringing intelligent automation to testing:Instead of running tests and fixing the bugs manually AI-driven test controllers can be used to identify test case failures and run repetition steps to cover multiple regression cycles in accordance with the type of fault detected. It helps to increase the automation coverageby approximately 30% when using AI. 4. Improving system agility:One of the primary reasons why automated tests fail is not for their lack of quality but the lack of their swiftness keeping with the changes that are taking place. AI-powered testing tools can be designed to learn from test data generated using the emerging Machine Learning process so that test automation systems can adapt quickly to system changes.5. Self-healing capability:Testing is a continuous process in a software life cycle. Organizations spend around 15 to 25% of their time maintaining automated test cases. A self capable system driven by AI can be a great tool to reduce the burden on an ever increasing testing budget as the system grows to be more complex. It is usually observed that about 60 to 70% of all defects reported can be addressed by employing AI-powered solution.6. Minimizing manual labor:Manual testing of medical devices can be an laborious task as it involves several regulative requirements. AI helps to reduce manual testing efforts at some steps by bringing analytic functions using a combination of image and other sensors hence improving the speed and accuracy of testing. It has been found that the use of AI in testing reduces product maintenance costs by almost 40%.7. Strict testing procedures to prevent diagnostic errors: Diagnostic errors lead to 60% of all medical errors. As AI can offer more accurate diagnostics there is always a chance that it can also make mistakes, which sometimes causes companies to hesitate about adopting AI in diagnosis.The use of AI and ML in medical device testing has its pros and cons, however its benefits outweigh some of the challenges associated with it.Software testing in AI and MLThe core element of developing ML and AI algorithms are testing. You may compare this with common unit testing of the application testing. The AI/ML engineers develop an AI algorithm and verify that the training data does a qualified job of accurately classifying or regressing data with good generalization. Test Engineers also use some validation techniques which are like test data of software testing.AI-based software uses algorithms and data which are mainly working together to show the results. If the algorithm's validation phase gets wrong parameters then it might affect the results which we are looking for. To get more accurate results the test engineers needs to revisit the algorithms themselves, change the parameters if required and rebuild the model. This might be compared to the system test which the tester was doing to understand the behaviours of the system.Testing approach on AI-ML based Healthcare DomainsA common healthcare domain testingis a process to check healthcare applications with factors like safety, compliance, accuracy and cross dependency with other entities, etc. The tester ensures that the standard quality, reliability, performance, safety, and efficiency of the Healthcare application on its place and software behave as expected. Current AI-based tools and software accompany algorithms and logical tests which Al engineers already did.However, the challenging part for the tester is to check how the algorithm behaves within the software and therefore the system. QA teams got to have strong domain knowledge and backgrounds on healthcare systems, algorithms and the way these two works together.Mostly healthcare algorithms are pretty complex and challenging to predict for common software testers. The algorithm goes through training and testing sets thus creating some meaningful data associating with human behaviours. An insufficient or incomplete data set or low-quality data can cause biases within the solution. A system is over-trained to ascertain the same thing or isn't trained enough to form an accurate judgment.Another challenge that testers face while they're testing AI-based medical systems is that the amount of data required to test the system. Approaching restricted data items won't provide statistical assurance of the system. That opens another challenge for testers on what kind of skills should a tester have and the way they should interact with complex systems.Mainly testers are using boundary testing and dual coding to resolve most of the problems associated to complexity. Testers got to have some data knowledge and familiarity with Algorithms would be an essential skill.Sometimes the algorithm used, huge data volumes or solution complexity, testing these systems are often as complex as the solutions itself. It requires extensive technical and data science expertise from the testers making the AI tester's job different from any other manual or automation testers.ConclusionSoftware industries may face a spread of challenges when using AI to test the healthcare applications or medical devices for quality, including identifying the precise cases, a scarcity or lack of understanding about what really must be done. Verifying applications behavior based on data input, testing application for functionality, performance, scalability, security, and more.In conclusion, AI-based healthcare products will get complicated day by day and as testers we got to be ready to test one of the most complex algorithms and logic, potentially saving lives and protecting the people.

Area Of Work: Healthcare Security & Compliance Industry: TeleHealth and HealthCare , Software Development

Nuzhat Siddique

28 Jan 2022

Healthcare Insurance Solutions with Blockchain Smart Contracts Increasing prices, discerning consumers, and disruption by technology are a few challenges health and life insurance companies face. So, can technologies like blockchain and smart contract solutions development for healthcare enable systems to address insurance issues? Health and life insurance companies are some of the key players trying to incorporate emerging technology blockchain and smart contracts. They are doing so to change record keeping, transaction execution, and interaction with stakeholders. The question is whether blockchain technology and its applications can facilitate insurers to gain efficiency in healthcare insurance operations. Can they enable them to reduce costs, manage vulnerabilities, enhance customer support, expand their business, and thus, improve the bottom line? Let's find out.What are the Challenges with the Current Healthcare Insurance ServicesLife insurance policy life cycles with complex touchpoints and healthcare insurance claims often involve complicated and unpleasant experiences.It makes the establishment of good insurer/client relationships problematic. Term life insurance appears to be a static, one-dimensional product. Whether the policyholder dies, it pays out, or when the contract expires, it lapses.Otherwise, there is no engagement until the sale is closed except for premium payments. With no legal standards demanding its acquisition and little encouragement other than the provision of death coverage, term life insurers continue to be hard-pressed to accelerate strong revenue growth. In reality, life insurance (and maybe even health insurance) tends to be low-return, high-cost products for those who are younger and healthier. They provide little relevance to the everyday life of a policyholder.What Solutions Does a Blockchain-based System ProvideThe basis for incorporating a wide range of wellness-related activities into the insurer/client dynamics can be EHRs safely stored on blockchain's immutable database and powered with smart contracts. In this context, technology can not only be used as a secure archive of past medical history to allow faster underwriting and pricing. It can also store near-real-time information about the lifestyle and health of the policyholder through telematics devices tracking their day-to-day activities. Also, Read |Blockchain Smart Contracts in Insurance | Advantages, and ApplicationsBenefits for a life insurerIn this direction, life insurers can reevaluate a person's risk profile and modify coverage costs accordingly while providing incentives like premium adjustments, exercise or dietary performance discounts, or perhaps even gamification-driven competitions constantly. The architecture of blockchain can incorporate the fast-growing number and types of health and wellness data sources more effectively than a more conventional, widely distributed, and often fragmented communications infrastructure. An interoperable blockchain-based health record system can safely update in near-real-time with diversified, lifestyle-related data points. Further, it can drive more regular revaluations of the vulnerability and enable dynamic premium pricing of life insurance schemes. Potentially, life insurers can harness this gathered information to incentivize risk-reducing behavior individually, thus, facilitating customers to make more knowledgeable, healthier lifestyle choices by aligning with them. They can also provide promotions to related vendors (gyms, fitness facilities, spas, etc.). Carriers may also be in a stronger position to deliver unbundled, customizable, personalized policies. Also, Read |Augmenting the Management of EHRs (Electronic Health Records) with BlockchainBenefits for a health insurerIn turn, healthcare insurers can use such telematics data to facilitate wellness services and trigger premium discounts. The collection of such real-time data connected to smart contracts in health insurance can alert policyholders to take prescriptions and schedule check-ups. Fluctuations in a patient's health factors like heart rate or blood pressure can set off alarms. This data collection will activate contact from a healthcare care provider or a wellness coach. When combined with advanced analytics and real-time data sources, blockchain-facilitated data storage can ensure owning life and health insurance is an essential part of a policyholder's lifestyle.Benefits for an insuredCurrently, consumers connect with their health insurance when it requires them to pay premiums or consult a disease or injury. Instead, they can establish a long-term positive relationship with their insurer. Exercising and staying productive can lead to obvious and direct benefits — like premium discounts or reduced deductibles. Then, consumers might equate health insurance with well-being and advantages rather than health expenditures. Effectively, insurers may benefit from building a healthier business book that is more risk-averse.Also, Read | Blockchain Solutions for Reconciliation and Dispute ResolutionHealth insurance-specific applicationsFacilitate Health services for insurersCreate a more reliable medical and wellness knowledge repositoryCause drug warnings or routine medical visits or diagnostic testsFoster healthy lifestyles, reducing the cost of medical complicationsAllow insurers to know their policyholders betterLife insurance-specific applicationsFacilitate faster evaluations of the underwriting and sellingCreate less discretionary, more realistic pooling of risksAllow programs geared towards risk reduction and lifestyle and longevity improvementsFoster revenue growth and augment loyalty programs to policyholdersAllow more customization and individualized coverageAllow insurers to know their policyholders betterBut a Nexus of Blockchain, Smart Contracts, and IoT is EssentialIncorporating real-time information might help mitigate arbitrary pricing decisions. It can set the stage for a more engaged customer relationship. However, blockchain alone can not accomplish this. Whether manually uploaded or automatically collected via the Internet of Things ( IoT) sensors, fine-grained lifestyle data points will need to be securely channeled and stored on the blockchain database and converted into successful consumer insights and rewards. Also, Read |Creating a Nexus of Blockchain, AI, and IoT for Business SolutionsChallenges with such a Blockchain-Healthcare Insurance SolutionMoreover, the possibility of tracking and penalizing those who do not practice healthy lifestyles 24/7 might cause some customers to refuse such deals. On the other hand, insurers could face additional regulatory restrictions to protect the interests of both users and non-users.ConclusionUsing blockchain and smart contracts to support ongoing, interactive, value-added customer relationships may encourage more individuals to buy coverage and stick to their insurer once they do so. It will be more applicable when points created in reward programs are at risk if a policyholder switches carriers. For more detailed information, connect with our experts.

Area Of Work: Healthcare Security & Compliance Industry: Software Development Technology: Blockchain

Mudit Kumar

07 Sep 2020

Secure and Efficient Healthcare Data Sharing using Corda Blockchain The purpose of this document is to provide a detailed overview of “Health Care Data Sharing (POC) using Corda Blockchain” and its parameters and goals. This document can be used by developers, technical architects, and system reviewers for their reference. Through this document, we will cover the healthcare blockchain solutions development. Once we achieve that, we will cover a “Health Care Data Sharing” use case. Overview Corda is distributed ledger software for recording and processing shared data such as business contracts. It supports smart contracts, which is an agreement between transacting parties, whose execution is both automatable by computer code, and whose rights and obligations, as expressed in legal prose, are legally enforceable. Smart contracts can be written in Java and other JVM languages Flow framework to manage communication and negotiation between Hospital Peer-to-peer network of nodes. "Notary" infrastructure to validate the uniqueness and sequencing of transactionswithout global broadcast. Introduction & Background Why Corda? Corda is an open-source blockchain platform built for businesses to develop from scratch. Corda blockchain development services enable businesses to transact directly and in strict privacy using smart contracts. As a result, it reduces transaction and record-keeping costs and streamlines business operations. Key concepts of Corda Corda is a decentralized database platform having the following features. Nodes (Hospital) are arranged in an authenticated peer to peer network. All communication is direct. A gossip protocol is not used. In this application, transactions may execute in parallel, on different nodes (Hospital), without either node aware of the others' transactions. Nodes (Hospital) are arranged in an authenticated peer to peer network. All communication is direct. A gossip protocol is not used. Currently, this application is having one notary but its network may contain multiple notaries that provide their guarantees using a variety of different algorithms. Corda Blockchain is not tied to any particular consensus algorithm. Data is shared on a need-to-know basis. Nodes (Hospital) provide the dependency graph of a transaction they are sending to another node on demand, but there is no global broadcast of all transactions. The data model allows for arbitrary object graphs to be stored in the ledger, called states and is the atomic unit of data. Nodes(Hospitals) are backed by a relational database and data placed in the ledger can be queried using SQL as well as joined with private tables(Doctor and Patient). States can declare a relational mapping using the Java Persistence Architecture standard (JPA). Also Read:A Brief Introduction to the Accounts Library in Corda Blockchain Solving challenges in EHR sharing management The adoption of Electronic Health Records (EHR) software is a top priority for any health system CIO, yet it's astronomically expensive and takes significant time and resources to implement. The biggest challenge faced by the Healthcare industry is the lack of interoperability not just between different organizations' software platforms but even within a single health provider/system. For example: If Fortis Delhi wants to share health records of a patient with Apollo Bangalore OR Medanta Delhi, there is no central system to share the information, at the same time ensuring that patient data is secured. Also Read:Augmenting the Management of EHRs (Electronic Health Records) with Blockchain Scope We provide Electronic Health Records (EHR) software, which is very economical and takes less amount of time and resources to implement. We provide a central system to share the Health-related information, at the same time ensuring that patient's data is secured. Blockchain could enable these different systems to talk to one another and provide a complete holistic patient profile without the need for an intermediary to provide any particular validation. Records could be tracked in an audit-able, time-stamped, and immutable ledger so that no one party could ever fraudulently alter them. Definitions, Acronyms, and Abbreviations Notary Notary clusters prevent “double-spends”. A notary is network service to provide uniqueness consensus attestation for transactions. Vault The vault contains data extracted from the ledger that is considered relevant to the node's owner, stored in a relational model that can be easily queried and worked with. System Overview with the FollowingComponents Node A node's name must be a valid X.500 distinguished name. Inorder to be compatible with other implementations (particularlyTLS implementations), we constrain the allowed X.500 nameattribute types to a subset of the minimum supported set forX.509 certificates (specified in RFC 3280), plus the locality attribute. RPC The node's owner interacts with the node solely via remote procedure calls (RPC). The node's owner does not have access to the node's ServiceHub. System Architecture Corda Nodes communicate with each other using an asynchronous protocol, AMQP/TLS. The only HTTP communication is for the initial registration of each Corda Node, and for sharing of the Corda Node address locations by way of the Network Map. Each client application communicates with Corda Nodes using RPC calls. Aso, the Corda Vault is a database that relies on JDBC connection from the Corda Node. Hospital Data Sharing Flow Transaction Steps Limitations Currently, we are not able to connect the Spring app with multiple nodes. Further Improvements Role-Based Access in Corda Blockchain Add Attachments (For Patients and Doctors) Allow multiple Spring Apps to be up at the same time for different Nodes Intra Node Communication in Corda Node References (URLs) GitLab Repo https://gitlab.oodleslab.com/oodles/Cord aHealthCare.git

Area Of Work: Healthcare Security & Compliance

Mudit Kumar

21 Dec 2019

Benefits of Implementing Cloud Based DevOps in Healthcare The healthcare industry generates large amounts of data every year. While processing the data, healthcare companies have to follow multiple regulations to ensure strict security. Implementing a DevOps approach to infrastructure management ensures a high level of security in data management.Traditionally, whatever data was generated by the healthcare industry was stored in the files that remained on the shelves for years. Lack of a stringent security system enabled internal staff members to misuse the data. Over the decades, the healthcare industry matured and started utilizing IT technology. The data was saved on the private cloud infrastructure to prevent its misuse.Oodles Technologies provides Cloud-based DevOps services to enable data security and efficient product delivery.A DevOps approach in the enterprise healthcare industry can facilitate in the right distribution of data.As stated by Amazon Chief Technology Officer (CTO), Dr. Werner Vogels, during his speech at AWS Summit London 2018, the Infrastructure-as-a-Service component of AWS is fine-tuned for security.The enterprise healthcare industry needs to adopt an efficient cloud infrastructure that ensures Big Data security and even distribution. Currently, Amazon's Infrastructure-as-a-Service provides Machine Learning (ML) optimized Big Data solutions.Big Data analytics and DevOps benefits for HealthcareTroves of data generated by the healthcare industry every year can be used for research work. Doctors can use the data to conduct their research on various diseases through data analysis. Research teams at various hospitals use conventional servers that are inefficient to deal with the 3 V's of the Big Data.A variety of data types gatheredThe Volume of data to processThe Velocity of the incoming dataTo manage the 3V's of the Big Data, companies are required to develop and deploy Machine Learning (ML) models and process the data. Artificial Intelligence algorithms analyze data to discover hidden patterns and use them to generate actionable insights. For deploying the Big Data Visualization tools a flexible and resilient infrastructure is needed that enables the 4th V(value) of Big Data.Solution with DevOpsImplementing DevOps-as-a-Service (DAAS) enables auditing of IT infrastructure, assessing possible obstacles, and suggesting ways to dealing with them. The solutions often suggest moving the infrastructure to public clouds such as Azure, AWS, or GCP from legacy hardware. In parallel to moving the infrastructure from legacy to public cloud, continuous integration (CI) and delivery (CD) pipelines will support automated management and monitoring of data. Implementing DevOps approach provides various benefits:Reduced Operating Expenses: Prevents upfront investments, including personnel training or server purchase.Easy scalability: Enables scaling up and down the resources on the basis of the data that is generated.Increased accessibility: Facilitates collaborating parties to easily access cloud resourcesHigh availability: Ensures the workload and the apps are located in the availability zone closest to the customersFast deployment: DevOps tools minimize the time and effort needed to configure the servers according to the requirements of an organization. Cloud servers ensure 100% server security from hackers. Its secure structure mitigates several security threats.Better business agility: DevOps tools accelerate various processes in healthcare companies. It addresses various customer requests in a short time to deliver value to the customers.Some essential DevOps benefits specific to the healthcare industry include:Regulatory compliance and data security. In May 2018, the General Data Protection Regulation (GDPR) in May 2018 became more stringent in monitoring and regulating the flow of an individual's data. After this regulation was passed it became essential for healthcare institutes to limit access to patients' data at their disposal. Implementing DevOps practices enabled healthcare institutes to secure their patient's data on Cloud platforms.Cloud-based DevOps solution limited access to patient's details and minimized the risk of backdoor access to the apps. DevOps-Infrastructure-As-a-service determines system functioning and removes multiple bottlenecks and potential security breaches. DevOps solutions automatically apply regulatory requirements and easily codifies to reduce operational overhead costs and simplify compliance checks from the authorities.DevOps facilitates automation of daily routine tasks that motivates IT departments to concentrate on improving the infrastructure in use. It automates configuration checks, software updates, and database backups. DevOps approach enables the CI/CD pipelines to deliver results faster.Shorter time to market for your products. DevOps facilitates the automation of cloud infrastructure management so that the software delivery lifecycle becomes predictable for a software development company. It significantly reduces the time to market product updates.Better collaboration across the company. Implementing DevOps approach facilities easier collaboration between various departments. It speeds up various tasks of other teams and brings more efficiency and cooperation with big data teams.Implementing the DevOps approach in the healthcare industry provides effective use of Big data. It prevents the misuse of data and reduces the development cycle of apps. It also improves collaboration between the employees to facilitate better functioning.Are you planning to implement DevOps solution to your healthcare institute? We offer DevOps consulting services to improve management processes, decrease cost, and deliver end-to-end agility.

Area Of Work: Healthcare Security & Compliance Industry: TeleHealth and HealthCare

Khushboo Arora

12 Dec 2019

Custom ERP Development For Medical Device Manufacturing The COVID-induced global health crisis outlined the importance of healthcare services where medical equipment played a crucial role. The demand for medical devices has shot up in recent years by staggering margins. That being said, medical device manufacturers bear the onus to address the rapidly growing industry needs. In other words, the healthcare industry is majorly relying on medical device manufacturing companies to conserve the healthcare infrastructure. To fulfill the growing demands of the healthcare industry, medical device manufacturers require advanced automation tools and enterprise software. This is where the importance of ERP systems comes to light. Custom ERP development for medical device manufacturing enables these companies to efficiently run their production units, streamline SCM activities, and improve logistics management. In this blog post, we shed light on the importance of custom ERP development for medical device manufacturing with a focus on the benefits it delivers to manufacturers. Also, Read Custom ERP Development For Insurance Claims Management Challenges Prevalent In The Medical Devices Industry Before we explore the significance of custom ERP development for medical device manufacturing, let us first talk about the challenges that are commonly faced by these manufacturers. Supply Chain Disruptions The COVID-19 pandemic caused major disruptions across global supply chains, creating more difficulties for the healthcare industry. The skyrocketing demand for medical equipment and limited supply impacted healthcare infrastructures worldwide. At the same time, it caused a meteoric rise in material costs while also increasing time-to-market. Counterfeiting Counterfeit products have always been a matter of concern for medical equipment manufacturers and distributors. Over recent years, there has been a substantial rise in the number of counterfeit medical devices and equipment. Many malicious entities illegally manufacture counterfeit versions of high-end medical equipment and sell them at cheaper costs. It often takes original manufacturers a great deal of difficulty to tackle those malicious entities, causing whopping losses in the process. Increasing Healthcare Costs The rising cost of healthcare equipment imposes another major challenge for medical device manufacturing companies. Due to the increased cost of raw materials, they need to sell their products at higher prices, making them unaffordable for many patients. Regulatory Challenges Doctors and patients are less likely to buy unregulated medical equipment for obvious reasons. It is, therefore, crucial that companies that manufacture these products must remain compliant with local regulatory norms and government policies. However, the evaluation processes are both expensive and time-consuming. Moreover, getting government approval for a startup could be a hard nut to crack. Also, Read Open-Source ERP Development For Wholesale Businesses How We Help Overcome These Challenges Through Custom ERP? We are a seasoned ERP development company that specializes in building custom enterprise solutions from the ground up to address diverse business needs. Our end-to-end ERP application development services enable enterprises to solve complex business problems, streamline routine operations, and achieve higher levels of productivity. In the following section, we highlight the key benefits that medical device manufacturers can avail from our ERP development services. Improved Traceability Custom ERP development for medical device manufacturing renders end-to-end traceability to monitor inventory movements throughout the production and distribution lifecycle. A fully-integrated ERP software takes care of everything, from procuring raw materials to processing finished products and shipment management. Quality Control Quality control is increasingly important for enterprises operating in the manufacturing industry as it directly impacts the quality of end-products. When it comes to medical device manufacturing, companies must comply with the highest quality standards to stay competitive in the market. Besides, they must conduct routine quality assessments and audits to ensure that customers get the highest quality products. Enterprise Asset Management Enterprise asset management (EAM) is the combination of enterprise software systems and services that collectively maintain operational assets and equipment. The EAM process involves a multitude of processes including work management, asset management, planning, scheduling, health and safety, and supply chain management. Customer Relationship Management Customer relationship management is yet another crucial aspect that aids in efficiently running business processes in medical device manufacturing. Developing and implementing a CRM module enables these companies to deliver exceptional customer experiences and build long-term customer relationships. You may also like to read Custom ERP Development To Achieve Digital Transformation In 2022 Closing Remarks Developing and implementing custom ERP solutions enable enterprises to automate their operations and streamline manufacturing and distribution processes. To say the least, it helps medical equipment manufacturers to efficiently manage their production units, accelerate time-to-market, and improve customer experiences. Nevertheless, it is equally important to choose the right software platform and collaborate with an experienced ERP development company to get off on the right foot. At Oodles ERP, we have a proven track record in building, deploying, and delivering cutting-edge technology solutions at cost-effective rates. To learn more about our custom ERP development services, reach out to us at [email protected].