Drug development is a very complex and highly regulated process. Preparing for FDA approval also costs a lot of money. That is why it is important to automate all the processes to take a shortcut from an idea to the solution. EffectiveSoft is the right partner for medical biotech software development which helps companies in decision-making and saving time and resources while producing cost-effective medication.
We develop custom biotech ERP systems that optimize costs and help in the complex management of biotechnological resources. Biotech ERP software includes such functions as quality control, document management, incident management, material control, recall procedures, lot tracking, quality control, support for cGMP, HACCP, ISO, and other compliance standards. It also provides access to a legal knowledge base.
With the help of a CRM system, biotech companies can address a number of issues and devote more time and money to research and development of new products. Biotech CRM software manages all marketing activities, supports multi-channel sales, provides helpdesk and customer services, and more.
We build HIPAA compliant applications and cloud environments that ensure multichannel engagement, display biotechnology-related content, and provide customer data analysis and reporting. Cloud biotechnology software helps to solve Big Data issues, access and share data among departments or different companies in real time, securely store information and analyze it on demand.
EffectiveSoft provides cloud database migration via data integration as a service (DIaaS) which includes new database architecture and provides a data engineering tool used to transform data from various heterogeneous sources following the industry demands.
All biotech equipment, services, and procedures are assigned unique codes. We build custom HIPAA compliant medical coding systems that facilitate the coding process by streamlining classification processes and cataloging biotech data.
Bioimaging software is associated with such imaging technologies as X-ray, ultrasound, MRI, endoscopy, thermography, medical photography, microscopic examination, and more. Bioimaging apps help in the diagnosis and examination of diseases and allow creating a database for further analysis.
Artificial intelligence (AI) and machine learning (ML) enable biotechnology companies to simulate and predict the outcomes of research, enhance data quality, extract information, and ensure scalability. Predictive analytics based on AI and ML can help in faster and non-invasive diagnosis and treatment of various diseases, drug discovery, and lab tests analysis.
The Internet of Things (IoT) technology has a great impact on biotech by providing laboratories and research facilities with smart sensors (connected devices) to gather data and transfer it to such systems as EHR or ERP and then to the electronic data capture (EDC) for further analysis and storage.
We offer software quality assurance services so that biotech companies could work at the top of their operational efficiency. We provide quality assessment — i.e. a practice of identifying errors and discovering their causes throughout clinical trials. Quality assessment also ensures compliance, reliability, and consistency of data during the ongoing research.
Preclinical and clinical software development – we offer full-cycle biotechnology software development services to facilitate the drug development process and get FDA approval. We provide custom software to fulfill the following tasks.
The biotech industry employs distributed teams to carry out research and development. Keeping this in mind, we build custom project management systems that streamline and increase collaboration, automate workflow, and facilitate faster time to market of biotechnology products.
Document management (DM) systems allow biotech companies to increase productivity by decreasing cycle times, providing real-time access to data, and enabling compliance. DM systems also ensure integration with a knowledge base to give rapid access to scientific and legal/compliance reference data.
We develop custom HIPAA compliant patient management systems and integrate them with other medical and biotech software, including EHR/EMR, laboratory management apps, radiology information systems, remote monitoring, and more. We offer the development of custom software for patient engagement, enrollment, logistics, diagnostics, and decision-making systems.
We build custom laboratory management systems that assist in lab automation, streamline lab workflow, and improve effectiveness by integrating with 3rd-party and in-lab solutions. We provide biotech labs with laboratory information management systems (LIMS), scientific data management systems (SDMS), electronic laboratory notebook (ELN) systems, and sample management software.
A SDM serves scientific labs as a centralized document management system. We develop SDM systems that fulfill such complex laboratory tasks as capturing, analyzing, cataloging, organizing, and storing unstructured heterogeneous data generated by laboratory tools and software.
In order to manage clinical trials, biotechnology providers need custom HIPAA compliant clinical trials management software. Such systems monitor clinical sites, manage protocols, track deadlines, control participants via interactive voice or web response systems (IVRS and IWRS), and provide timely reporting.
Bioinformatics software allows extracting meaningful data out of unstructured masses of molecular biology databases in order to perform sequence and structural analysis. We develop custom bioinformatics tools as well as integrate them with other solutions, including hospital EHR systems and clinical trials software.
We offer cutting-edge DNA analysis software development services to empower biotech companies with the necessary tools to turn genomic information and DNA sequencing data into biological insights. Such systems are accessible to all the researchers involved, are integrated with a wide range of lab applications, provide comprehensive reports, support collaboration and sharing of the results.
Clinical analytics software utilizes real-time medical data from various sources to generate insights. Such systems aid in making informed decisions, cutting costs, and raising revenue. By providing flexible analytics, clinical analytics software facilitates research.
We not only develop custom biotech software but also make sure that it works as intended, fulfills its purpose effectively, and satisfies all the requirements and specifications (including HIPAA).
Clinical workflow software improves collaboration, boosts effectiveness, enhances patient satisfaction, and helps all parties involved to provide faster and more accurate services.
Our advanced bioprocess modeling and simulation software helps to automate and speed up complex processes in such areas as drug discovery and manufacturing, pharma-cogenomics, genetic testing, and screening.
The life cycle of medical biotechnology software development leading to FDA approval.