AI Katulong sa Medikal na Rekord

MicrocosmWorks builds HIPAA-compliant medical records assistants with end-to-end encryption, BAA-covered cloud infrastructure (AWS GovCloud or Azure Healthcare APIs), and role-based access controls that restrict PHI visibility to authorized personnel only. All AI processing occurs within HIPAA-compliant boundaries with no patient data sent to external LLM APIs — we deploy dedicated model instances within your security perimeter. The system maintains comprehensive audit logs of every PHI access event, meeting the technical safeguard requirements of the HIPAA Security Rule.

MicrocosmWorks deploys clinical NLP models trained on medical terminology, ICD-10 codes, and SNOMED CT ontologies to extract diagnoses, medications, procedures, and lab values from free-text physician notes with over 90% accuracy. The system handles medical abbreviations, contextual negation (e.g., 'no signs of infection'), and temporal relationships between symptoms and treatments. Extracted data is mapped to FHIR-compliant resources for seamless integration with your EHR system.

MicrocosmWorks implements a clinical reconciliation engine that cross-references patient data across encounters, providers, and facilities to flag contradictions such as conflicting medication lists, inconsistent allergy records, or divergent diagnoses. The system presents discrepancies to clinical staff with side-by-side comparisons and provenance information showing where each data point originated. This proactive reconciliation helps prevent medication errors and ensures longitudinal patient records remain accurate across care transitions.

MicrocosmWorks builds integrations with Epic (via FHIR R4 and custom APIs), Cerner/Oracle Health, Allscripts, athenahealth, and eClinicalWorks using HL7 FHIR, HL7 v2 messaging, and CDA document exchange standards. The assistant can both read from and write back to the EHR, enabling automated chart updates, coding suggestions, and prior authorization data population. Integration development for a primary EHR system typically takes 4-8 weeks at rates of $25-$50/hr depending on the EHR vendor's API maturity.

MicrocosmWorks trains the medical records assistant on CPT, ICD-10-CM/PCS, and HCPCS coding guidelines to suggest appropriate codes based on clinical documentation, flagging under-coded encounters that leave revenue on the table and over-coded encounters that risk audit exposure. The system cross-references documentation against coding rules to identify missing specificity (such as laterality or severity) and prompts clinicians to add clarifying details before claim submission. Clients typically see a 10-20% reduction in claim denials and a measurable increase in coding accuracy within the first quarter.