Address the complexities of integrating diverse data sources and delivering actionable insights. By focusing on compliance, interoperability, and patient engagement, we help deliver measurable business outcomes, while maintaining high standards of care.
Integrate publicly available SDOH resources into medical research and reporting
Identifying high-risk patient groups based on predictive analytics to prioritize and tailor interventions, thereby preventing disease progression and reducing hospital admissions.
Monitoring and managing chronic conditions such as diabetes, hypertension, and heart disease through personalized care plans and continuous patient engagement, improving long-term health outcomes.
Enhancing communication and coordination among healthcare providers, ensuring seamless transitions of care, reducing duplication of services, and improving overall patient care.
Implementing targeted preventive care initiatives and wellness programs based on population health data to reduce the incidence of preventable diseases and promote overall community health.
Utilizing data-driven insights to allocate healthcare resources more effectively, optimizing staffing, reducing unnecessary tests and procedures, and ultimately lowering healthcare costs.
Streamlining the process of meeting regulatory requirements and reporting standards, ensuring adherence to healthcare laws and regulations such as HIPAA, and improving transparency and accountability in care delivery.
case study highlight
Achieved 95% Treatment in Place with Custom Virtual Care Ecosystem
A large value-based care provider, faced CMS reimbursement challenges due to coding gaps. Complex growth and tech hindered patient care. Addressing gaps was vital for improved patient care and reimbursement.
We put a new product or service in your user’s hands…so you can start learning and building your business.
Understand the business problem, user needs, and key objectives. Validate the product concept and define the vision.
Product strategy + prioritized features
Define the product or service to solve the problem. Define technical architecture, user flows, wireframes, and visual design.
Project roadmap, technical specs, design assets, prototype
Develop the MVP through iterative sprints, incorporating user feedback and testing. Deliver core functionality to meet business goals.
MVP ready for market test & user validation
Post-launch, focus on scaling and optimizing based on user feedback and analytics. Add users and commercialize the product.
New features, enhancement, business growth
Seamless integration with various data sources such as EHRs, claims data, lab results, and wearable devices, ensuring comprehensive and accurate data for analysis.
Advanced analytics capabilities to identify trends, predict health outcomes, and stratify risk levels within patient populations.
Robust security features to protect patient data, including encryption, secure APIs, and access controls, ensuring compliance with data protection regulations.
Incorporation of social, economic, and environmental factors into the health management system to provide a holistic view of patient health and tailor interventions accordingly.
Real-time dashboards that provide an overview of population health metrics, helping providers make informed decisions and track the impact of interventions.
Specialized modules for managing chronic conditions, including patient monitoring, medication management, and personalized treatment plans.
Features for coordinating care among multiple providers, including care plans, task management, and secure communication channels.
Automated reporting features to meet regulatory requirements and track key performance indicators (KPIs), ensuring adherence to standards like HIPAA and HITECH.
Tools for engaging patients through portals, mobile apps, and communication systems, enabling them to access their health information, receive reminders, and communicate with healthcare providers.
Proficiency in predictive analytics, machine learning, and data modeling is highly challenging and differentiates an onshore team with deep technical expertise.
Expertise in integrating various data sources, including EHRs, claims data, and wearable devices, is complex and critical for seamless data flow, showcasing the value of an onshore team’s precision and coordination.
Developing and customizing software solutions to meet unique healthcare needs is technically demanding and highlights the onshore team’s ability to deliver flexible and scalable solutions.
Designing intuitive and user-friendly interfaces requires specialized skills and close collaboration with users, differentiating an onshore team that can ensure high adoption rates and effective use.
Implementing robust security measures to protect patient data, including encryption and secure protocols, is a significant challenge and a strong point of differentiation for an onshore team committed to compliance and data protection.
Understanding healthcare processes, regulations, and standards, such as HIPAA compliance, is essential and showcases the onshore team’s domain expertise and ability to meet industry requirements.
Coordinating multidisciplinary teams, managing timelines and budgets, and ensuring successful implementation and adoption is a challenge that emphasizes the onshore team’s organizational skills and reliability.
Effective communication and collaboration with healthcare providers, IT teams, and stakeholders are vital for meeting needs and expectations, differentiating an onshore team’s ability to engage closely with partners.
Managing organizational change, including training and support, is challenging but crucial for technology adoption, highlighting the onshore team’s comprehensive approach to implementation.
Our experienced teams specialize in creating large-scale digital healthcare products, understanding your unique challenges and user needs to deliver exceptional CDSS solutions without using your investment for training.
We ensure your CDSS delivers measurable ROI by integrating seamlessly with existing healthcare systems, optimizing data flow, and enhancing operational efficiency to achieve significant business value.
We prioritize user research and product discovery, completing design cycles and prototypes early on. Testing and validation occur at every phase of our process, informing early hypotheses and ensuring that the final product delivers utility for clinical users.
“I have worked with many technology teams during my career, and Digital Scientists is one of the best. They take the time to understand the customers’ needs, deliver innovative solutions, are always professional, and work with your team as a true partner to achieve success.”
Amy severino
“I have worked with many technology teams during my career, and Digital Scientists is one of the best. They take the time to understand the customers’ needs, deliver innovative solutions, are always professional, and work with your team as a true partner to achieve success.”
Amy severino
Launch a new service or product in as little as 8 weeks
Consulting services for technology integration in Value-Based Care.
An evaluation to guide critical business strategies and decisions.
Remote patient monitoring (RPM) is revolutionizing healthcare by providing continuous care without the need for frequent person visits to clinics. Through advanced remote patient monitoring devices, doctors can track vital signs and patient data, ensuring better care for chronic illnesses such as heart disease, high blood pressure, and chronic obstructive pulmonary…
Machine learning is transforming the healthcare industry by improving patient care, streamlining processes, and offering innovative solutions to complex medical challenges. From enhancing medical image analysis to helping pharmaceutical companies speed up the drug discovery process, machine learning models are creating new opportunities across healthcare. In this blog, we’ll explore…
Natural language processing (NLP) is transforming the healthcare and biomedicine fields by allowing machines to understand and interpret human language. From analyzing medical records to aiding in clinical decisions, NLP tools are helping healthcare professionals handle vast amounts of unstructured data more efficiently. 1. Analyzing Medical Records and Clinical Notes…
A Custom Population Health Management Solution is a tailored software system designed to meet the specific needs of healthcare organizations in managing and improving the health outcomes of patient populations. It integrates various data sources, offers advanced analytics, and supports care coordination to enhance overall population health.
A Custom Population Health Management Solution improves patient outcomes by leveraging predictive analytics to identify at-risk patients, providing personalized care plans, and enabling proactive interventions. This leads to timely care, reduced hospital admissions, and better long-term health results.
The benefits include increased flexibility, better integration with existing systems, improved user satisfaction, and the ability to add specific features that cater to the unique needs of the healthcare organization. Custom solutions can adapt to changing healthcare demands and provide more precise and actionable insights.
It ensures data security and compliance by incorporating robust encryption, secure access controls, regular audits, and adherence to regulations such as HIPAA. These measures protect patient data, maintain confidentiality, and ensure the integrity of health information.
Features can include data integration from various sources (EHRs, claims, wearables), predictive analytics, care management tools, patient engagement platforms, real-time dashboards, reporting and compliance tools, and integration with other healthcare systems.
It enhances care coordination by providing a seamless flow of information among healthcare providers, reducing duplication of efforts, minimizing errors, and ensuring that all patient information is easily accessible and up-to-date. This improves communication and collaboration across the care team.
Challenges include the initial cost and time investment, ensuring user adoption, data migration from existing systems, maintaining data security and compliance, and ongoing maintenance and support. Overcoming these challenges requires careful planning, training, and a commitment to continuous improvement.
By analyzing population health data, the solution can identify trends and predict healthcare needs, allowing for more effective allocation of resources. This includes optimizing staffing, reducing unnecessary tests and procedures, and focusing efforts on high-risk populations to improve efficiency and reduce costs.
Digital Scientists offer expertise in advanced analytics, machine learning, and data integration, ensuring the delivery of tailored, flexible solutions that meet unique healthcare needs. Their commitment to security, compliance, and user-friendly design, combined with a seasoned team, makes them a reliable partner in managing population health effectively.
