DQI Health Care Services
Your trusted partner for healthcare
Your trusted partner for healthcare
Transforming healthcare with advanced software, we streamline patient care and provider operations, from remote consultations to data management.
Healthcare produces an enormous amount of information every moment, from patient records and medical scans to wearable devices and clinical trials. DQI Data Scientist’s helps make sense of this information, improving patient care, streamlining hospital operations, and advancing medical research.
The process of using DQI Data Scientist’s in healthcare involves several steps:
Predictive analytics helps doctors and hospitals identify potential health problems before they worsen. For example, algorithms can analyze patient data to predict diseases like diabetes or heart conditions, allowing timely treatments.
DQI Data Scientist’s allows doctors to create treatments tailored to individual patients. By analyzing genetic data and medical history, doctors can choose therapies that work best for each person, reducing side effects and improving results.
DQI Machine Learning Tools can analyze medical images like X-rays and MRIs to spot diseases, such as cancer, earlier and more accurately. These tools assist doctors in making better diagnoses.
DQI Data Scientist’s helps hospitals predict patient admissions, allocate staff and resources, and manage schedules effectively. This makes operations smoother and ensures patients get timely care.
Finding new medicines usually takes years and costs a lot. DQI Data Scientist’s speeds up this process by analyzing large datasets to identify promising drug candidates, predict test results, and reduce risks.
Wearable devices like smartwatches collect data on heart rate, blood pressure, and activity levels. DQI Data Scientist’s processes this data to monitor health and alert users or doctors to potential issues, enabling early intervention.
At DQ Inc, we design Customer Relationship Management (CRM) solutions specifically for the healthcare sector, focusing on helping organizations improve patient engagement and designed to manage and improve the interactions between a business and its customers.
Our CRM consulting services help healthcare companies develop a comprehensive CRM strategy, from choosing the most appropriate provider to implementing an optimal CRM solution that aligns with overall goals.
Through our CRM development service, our team of product designers and software engineers develop healthcare CRM solutions fully tailored to the customer's business goals and custom requirements.
Our experienced software engineers ensure that advanced CRM technologies are integrated and fully functional with the company's existing software infrastructure, including EHR & EMR platforms.
At DQI, we develop tailored solutions that tackle hospitals, clinics, and research institutions unique challenges, leveraging the latest advancements in healthcare application development.
We provide comprehensive, full cycle software development services tailored to each client's requirements, ensuring compliance with industry regulations such as HIPAA and HL7.
We understand that healthcare organizations handle complex and sensitive data, so we follow a structured and secure approach to ensure seamless data transfer and guarantee the integrity of patient information.
Data analytics tools enable informed decision-making by analyzing complex data sets to reveal patterns, trends, and insights. This significantly improves patient outcomes, operational efficiency, and personalized care, directly benefiting your healthcare organization.
Our team of experts is dedicated to helping healthcare organizations like yours understand their business goals and compile a comprehensive list of requirements for future analytics solutions. We also specialize in ensuring a smooth and safe adoption process.
DQI engineers implement full cycle software, whether you need to develop the solution from scratch or customize or integrate it with third-party apps according to the organization’s business requirements.
We carry out database, storage, and app data migration, moving health data according to industry security standards. Our team can also perform entire infrastructure overhauls when legacy systems and data have to be transferred to the cloud environment.
At DQI, experts can fine tune, upgrade, rework, or entirely re-engineer legacy apps and solutions to fit the healthcare providers current business requirements. We can make them comply with modern security and regulatory standards and optimize the system’s functionality.
We update legacy software or develop new solutions from scratch to comply with HIPAA, IEC 62304, GMP, and FDA 21 CFR Part 820 policies. We also follow FHIR and OWASP requirements and adhere to the DICOM standard.
We help healthcare companies keep their patient portals fully operable, secure, and cost-effective by providing L1-L3 support services, performance monitoring, and on-demand upgrades and patch installation.
With their transformative potential, business intelligence (BI) tools aggregate and analyze complex patient data, unveiling patterns, trends, and insights that empower informed decision-making. In the healthcare sector, where vast amounts of data necessitate advanced tools for data-driven process optimization, BI tools emerge as the catalysts for enhanced patient care.
Analyzing each patient's data with BI tools identifies trends and patterns and significantly improves patient care outcomes, reducing costs. This data-driven insight enables proactive interventions and personalized care.
Analyzing data from multiple sources to identify health trends, risk factors, and opportunities for intervention in a particular group of patients to improve population health.
Optimizing staffing levels and workload distribution using organizational data reduces burnout and hiring costs. This strategic approach also improves staff efficiency and job satisfaction.
Using BI to track and analyze clinical trial data enhances efficiency, outcomes, and participant satisfaction. These tools identify trends in patient responses, leading to more successful and cost-effective trials.
Creating data-based reports on quality measures to comply with regulations and improve patient care. These reports streamline performance evaluations and improvements to meet evolving healthcare standards.
Processing financial data to optimize revenue cycles, including billing and insurance workflows. This enhances cash flow and reduces administrative costs by identifying and eliminating inefficiencies.