Medical Devices: Statswork's Expert Solutions for Innovation

Medical Devices Industry

Generate Scientific Evidence to drive Your Product development and CER Report Preparation

At Statswork Research & Analytics Consulting, our research team is fully immersed in the medical device (both standalone & wearables). We have the sort of niche expertise with all classes (I, II, III) of medical devices (intended to be used in the diagnosis, prevention, monitoring, treatment, or alleviation of diseases) that can only come from decades of hands-on experience.
Our process ensures to follow the European Council Directive 93/42/EEC ; 90/385/EEC on active implantable devices and the European Council Directive 98/79/EC on in vitro diagnostic medical devices, wearable devices (HIPAA standards). We provide biomedical literature review services, primary data collection, data analytics, post-market surveillance CER Report Preparation and Thought Leadership Reports.
How We Help Clients

Medical Device Product Research

New product development methodology to assist the medical device industry in optimizing their processes and developing relevant solutions – Reviewing the Biomedical Literature & Primary Research

• Statswork’s chemical scientists explore the new or known chemical substances, determining their quantity, based on an evidence-based literature review process.
• User Needs and Market Potential: We apply systematic review a) to identify the most effective and innovative design to solve the problem, b) to understand a user requirement that could be met with innovation to an existing device or a new device, c) to identify whether existing process or technologies already serve the market and d) to examine whether the proposed medical device performs better than existing devices that meet similar needs.
• We also conduct surveys and interviews to identify customers’ needs and demands and translate them to design targets.

Post-Marketing Safety Surveillance Report

Statswork conducts Biomedical literature reviewing services for PMS, part of a Clinical Evaluation Report (CER).

• Identifying adverse events for a medical device from the biomedical literature database, along with comprehensive strategies for literature triage and analysis
• Collect relevant useable data in the clinical evaluation, including device performance, device safety, comparison of device with existing devices (if applicable)
• We use EMBASE, QUOSA and another database for PMS

Reimbursement Strategies

Successful reimbursement strategies.

• We review the biomedical literature for cost analysis, quality of life and treatment outcome.
• Identify medical benefits of similar devices and offer a comprehensive estimation of the proposed device.
• To explore the computability of the device within existing insurance

Support in designing Qualitative & Quantitative Research Methodologies

Design based on the International Organizational for Standardization and the Health Technological Assessment (HTA)

• Research design planning to conduct usability testing and evaluation based on end-users needs and functional requirements.
• Quantitative research design methodology for validating prototypes (proposed design) in simulated setting or real-life environment to create the final device.
• Qualitative research design planning for medical device design studies and techniques – to look at varied aspects of design like comfort, perception, behaviour, information communication.
• Qualitative research through focus groups (in-facility and online), in-depth interviews (face-to-face and telephone/web-assisted) and ethnography.
• Quantitative research – telephone, face-to-face and online
Hybrid or mixed methodology

Custom Data Analytics & Advisory

Connected Medical Device – Turn data from medical devices and systems into analytics
• Comparative effective research & analytics
• Outcome-based analytics.
• Economic modeling
• Simulation modeling
• Real-world data analysis
• User device interaction – Normative path deviations
• Instrument utilization and performance analytics
• Patient usage data analytics
• Predictive analytics (e.g. in assessing the past performance of devices), predictive analytics (e.g. forecasting device performance)
Reference regression models for longitudinal validation testing

Thought Leadership & Editorial Design

Meaningful Interpretation & Visualization
• Executive Level Report for investors
• Reports for strategic decision making.
• Regulatory reports for approvals
• Marketing materials from the insights
• Customized content and report periodical and commercial approaches.

Featured Capabilities

Encryption and Decryption Algorithm for Healthcare Application

In a world where data privacy and security are paramount, our encryption and decryption algorithms for healthcare applications stand as a testament to our dedication to safeguarding sensitive information. Aligned with the stringent requirements of the HIPAA Security Rule, our advanced cryptographic primitives, including DES, TDES, AES, E-DES, BLOWFISH, pallier, RSA, and ELGamal, ensure that your healthcare data remains confidential and protected. We not only develop these algorithms but rigorously compare their performance with standard algorithms, ensuring their accuracy and reliability. 

Solving Real-Life Challenges

At Statswork, we thrive on solving real-life challenges using cutting-edge data science and analytics. Whether it’s devising the best solution for a specific problem, developing algorithms, or assessing their performance against standard benchmarks, our experts are dedicated to providing practical, effective, and data-driven solutions. We measure algorithm performance using metrics like sensitivity and specificity, ensuring that our solutions meet the highest standards of accuracy and effectiveness. 

Varied Data Analytics

Data is at the heart of medical device optimization. We transform raw data into actionable insights using a wide range of data analytics techniques. From comparative effectiveness research to outcome-based analytics and economic modeling, our team is equipped to analyze real-world data, user-device interactions, patient usage data, and more. Predictive analytics allow us to forecast device performance and identify areas for improvement. 
Example Of Our Work

Encryption and Decryption Algorithm for Healthcare Application as per the HIPAA Security Rule.

Today, industries are now adopting the Internet of Things (IoT) based wearable technology, and these technologies pose grave privacy and security risk about the data transfer and the logging of data transactions. In healthcare, security and privacy threat are endangering the patient’s life. At Statswork, we applied hybrid advanced cryptographic primitives, including DES, TDES, AES, E-DES, BLOWFISH pallier, RSA, ELGamal. The performance of the existing hybrid algorithm was compared with the standard algorithm to ensure its accuracy.

Advanced Algorithms and Protocols for Wireless

Communication Technology With the incredible growth of mobile data generated on the Internet of things, and the explosion of wireless applications, such as the fifth generation (5G) technology, augmented reality (AR), virtual reality (VR) which all make future wireless communication system more demanding. AI is influencing wireless communication and help overcome radiofrequency RF complexities. At Statswork, we offer AI algorithms like ML and DL which can invoke data analysis to train radio signal types.

Solve Real Life Challenges: Decide the best choice.

Our experts not only develop algorithms but also analyse its performance in comparison to standard algorithms through various metrics such as sensitivity, specificity, by plotting a receiver operating characteristics.

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