Healthcare Data Analytics
Our Healthcare Data Analytics Services
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.
IT Medical’s 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.
IT Medical’s experts can fine-tune, upgrade, rework, or entirely re-engineer legacy apps and solutions to fit the healthcare provider’s 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.
The Role of Data Analytics in Healthcare
Healthcare data analytics solutions can improve patient care, enhance operational efficiency, and predict healthcare trends. By harnessing the power of data, we can revolutionize how healthcare is delivered, leading to better patient outcomes and a healthier future.
- 568%growth in big data in healthcare over the past ten years.BMC Health Services Research
- 15%minimum predicted savings from predictive analytics over the next five years.Society of Actuaries
- 87%of executives agree that predictive analytics is important for their business.Society of Actuaries
Benefits of healthcare data analytics
Analytical solutions enable healthcare organizations to use available data to their and patients’ advantage.
- Patients’ health history analysis can help identify various health risks in advance and prevent upcoming diseases. This allows care providers to avoid hospitalizations, alleviate pressure on the ER and ICU, and speed up patient recovery.
- A more holistic understanding of all patient health factors helps create treatment plans best suited to each patient’s needs and health specifics. This improves patient satisfaction, boosts treatment success, and makes care more inclusive.
- Performance analysis helps detect redundant workflows, unproductive resource and personnel usage, and poor management approaches. It also helps establish cost-effective operational strategies, create successful marketing campaigns, and discover opportunities for patient base expansion.
- Our predictive analytics solutions are particularly effective in crisis management. They can recognize early signs of an upcoming crisis, such as an epidemic, personnel shortages, or facility overcrowding. This allows for practical management approaches, such as redistribution of resources and tasks, data backup, or patient flow redirection, helping your organization stay prepared and proactive.
- In the pharmaceutical industry, big data analytics and modeling can speed up the processing of research and trial data while also immensely lowering its cost, making new drugs cheaper and safer.
Top Use Cases for Healthcare Data Analytics
- Disease course prediction
By analyzing data from EHRs, patient surveys, RPM devices, and nationwide research, healthcare institutions can identify patients at risk of various diseases or predict the worsening of existing conditions.
- Treatment planning
By creating a treatment model based on a patient profile with data from various sources, a care provider can better understand the potential effects of different treatments and choose the safest and most effective for each patient.
- Chronic condition control
Chronic condition profiling, coupled with continuous patient monitoring and analysis of the readings, offers insights about the condition’s course, alerts patients about potential complications, and provides recommendations.
- Patient load management
Modeling patient flow patterns can alert care providers about the influx of patients to particular facilities or specialists, giving them time to prepare and meet the demand without disruptions.
- Patient engagement
Learning patients’ behavior patterns can give providers insight into their wants and needs, help better tailor care service offers, and ensure more transparent and satisfying communication with patients.
Healthcare data analytics options
Our descriptive analytics solutions equip our clients with the tools to summarise observed trends.
We offer diagnostic analytics solutions which provide further insight into the root causes of observed trends.
By implementing machine learning-based predictive analytics, you can anticipate trends before they happen.
Prescriptive analytics suggests actions based on predictive insights, allowing your organization to stay ahead of the curve.
Healthcare organizations rely on discovery analytics to uncover the processes and indicators that help them recognize when certain events have taken place.
IT Medical Innovations in Practice
Discover how our customized software solutions have transformed healthcare organizations worldwide. From optimizing operations and accelerating vital research to enhancing patient care and engagement, our solutions drive meaningful results across the healthcare spectrum.
Regulatory and Compliance
In maintaining global compliance, we have fortified our capacity to produce software conforming to international healthcare norms such as HIPAA, IEC 62304, DICOM, ISO 13485, HL7, and FDA 21. Our certification portfolio now includes CISSP, PCI, FIPS 140-2, ISO, GDPR, and HIPAA compliance, in addition to alignment with HL7 International standards.
Healthcare data analytics options
Data analytics tools analyze complex data sets to reveal patterns, trends, and insights, enabling informed decision-making. In the healthcare industry, these tools improve patient outcomes, optimize operational efficiency, and personalize care.
We create big data analytics solutions that process numerous data sources to deliver tailored treatment plans and condition management strategies and prevention measures.
Our experts train and implement ML models to distinguish details in medical images that may evade the human eye, enhancing diagnostics’ precision & reducing patients' exposure.
Our team implements custom analytics software that monitors operational efficiency and personnel performance in real-time, which helps prevent disruptions and manage resources.
We deliver ML-based solutions that offer insights into probable outcomes, like condition developments or supply chain interruptions, and help make informed decisions.
We implement solutions that turn medical data and metrics into intuitive dashboards that reflect real-time personnel and facility performance and patient health trends.
We deliver ML-powered solutions that analyze real-time medical device data within IoMT networks and identify meaningful medical condition patterns and changes.
Contact Us
Here's what you can expect to happen next:
- After reviewing your project’s requirements, one of our experts will get in touch to schedule a call.
- Upon request, we can promptly arrange an NDA to ensure the highest level of privacy.
- You will receive a detailed project proposal with estimates, timelines, and our expert opinion.