HEALTHCARE DATA ANALYTICS PLATFORM (HDAP)

HDAP can mine clinical notes in unstructured formats like free text and presents it in a consumable format for easy analysis and insights.

HDAP can pull and categorize data such as patient diagnosis and treatment data from EHR systems to help identify patterns and assist in care decision support.

HDAP can integrate different types of data for multiple uses and users; e.g., billing data for administrators; patient diagnostics and treatments for physicians; adverse conditions/reactions for nurses; data analysis for researchers.

HDAP can use a master patient index (MPI) to aggregate an individual’s health information for clinical analysis, research, care coordination, and improved patient outcomes.

HDAP can map and optimize core data that might use different labels in different environments to make it more consumable, searchable and actionable

HDAP can map and validate critical patient care codes to ensure accurate and complete information is available for accurate patient care, tracking and billing.

HDAP can capture complete patient medication histories and makes it easy to share with other providers and public health organizations to ensure safer and more effective care. This data can also be used for administering immunizations.

HDAP helps providers in optimizing patient care as well as care costs and reimbursements by enabling the care providers to benchmark effective patient prescriptions and dosages.

HDAP can provide a data tagging engine which can provide added context and checkpoints to existing data. This enables better data visibility, verification and application; e.g. prescription safety, clinical decisions, operational planning.

HDAP can accommodate new procedures and techniques such as the expanded coding and granularity introduced by systems like ICD-10. It also helps reduce the hassle of audits and detects and prevents healthcare fraud and abuse.

HDAP can act as a complete healthcare data ecosystem to improve clinical, financial, and administrative performance. Administrators can track time and resources spent on procedures, allocate resources, increase billing and payment accuracy and reduce the risk of rejected claims for incorrect coding.

HDAP’s comprehensive coding structure can provide unified data which is accurate, tagged and quality controlled to facilitate improved public health reporting and tracking.

HDAP can be used to standardize healthcare classification codes [ICD, SNOMED], procedure codes [CPT], labs results code [LOINC], medication and drug codes [NDC], image- related codes [DICOM] and more to enable more intuitive care analysis and correlation. It also allows for comparative research with other countries.

HDAP can use quantitative analysis of functional values to help clinicians identify patient abnormalities and predict phenotypes. Data from different EHRs can be integrated into a larger database and geo-location specific surveillance is also possible.

HDAP can enhance patient self-care by offering important follow-up information, instructions, reminders and links to necessary resources. Information technology affects more and more of patients’ lifestyle today and many feel more comfortable accessing services digitally.

HDAP enables clinicians to document services provided and access up-to-date information about their patient. It also streamlines the transition process and knowledge sharing between different care settings. This facilitates an improved level of communication and coordination.

HDAP can capture, unify and ratify data such as codes, charges and invoices for clinical services, lab tests, and medications. This digitization increases reimbursements, decreases billing errors, optimizes patient care timing, and provides better documentation to resolve any potential financial disputes.

HDAP can monitor patient flow, bed occupancy, lengths of stay, re-admissions, cost analysis vs. industry benchmarks, supply chain and inventory. This enables more informed decisions about population health, staffing and care.

HDAP can help identify patients at risk of complications, recommend medications and dosage, and alert to early signs of infection, etc. based on patient data analysis.