Clinicians and health services are facing unprecedented pressure because of workforce shortages, increasing morbidity, cost inefficiencies as well as changes in information technology demand and expectations...
Lack of easy access to the data in real time and standard ontologies for machine learning platforms to enhance clinical decision support and revenue cycle management.
Challenges in acquiring and sharing lab results (250,000 CLIA certified laboratories vs 69,000 pharmacies), and large number of laboratory tests performed (13B vs 4.1B prescriptions over 40,000 LOINC test codes).
Lack of timely access to cost of medical care prior to delivery of care in order for patients to become better stewards of their healthcare dollar.
Develop serverless architecture to standardize, normalize and aggregate patient data for generating real-time 360* analytics
Develop predictive, prescriptive and exploratory analytical models to monitor patient safety, hospital acquired conditions, patient utilization, and physician fatigue patterns.
Payer automated capabilities that will provide timely, robust pricing transparency between payers, providers, and consumers, transitioning healthcare to value-based payment, improved intervention, and risk management
Integrate EMR, revenue cycle system, coding systems, and payer gateways to eliminate manual workflows in resolving claim errors, posting payments and denials, reconciling payments, claims, statements, and calling payers to follow up on unpaid claims
Serverless platform for predictive analytics using FHIR stores and AutoML in the cloud
Chart models that can trend problems, procedures, labs, vitals, and medications over multiple care episodes to proactively identify patients who are at highest risk of poor health outcomes and readmission
Integration solutions to reduce manual chart corrections, coding modifiers, charge reconciliation, eligibility and demographics verification, eliminating billing and claim errors
Surveillance solutions between EMRs, Labs, PACS, Nursing, MDIs, BMDIs, Pharmacy hubs, Payer gateway, Eligibility gateway, etc.,
ANALYTICS - AI
Develop predictive, prescriptive and explorative analytical models using Hadoop big data platform for patient safety, hospital acquired conditions, patient utilization, and physician fatigue patterns.
Develop risk scoring systems based on lab testing, biometric data, claims data, patient-generated health data, and the social determinants of health using machine learning techniques
Build Patient cohort dashboards to monitor critical and high risk patient groups at point of care.
Cerner Millennium solution set configuration - FirstNet, Surginet, PathNet, RadNet,
Cerner Open Engine Integration -FSI open port, CCL, Bedrock, and OPS view scheduler
Cerner Data Analytics - powerInsight, Discern analytics, Millennium objects, Mpages
Epic Ambulatory and Inpatient implementations - Epic ASAP, beacon, willow, cupid, radiant
Epic Integration and data analytics - cache, clarity, and bridges
FHIR - BLOCK CHAIN
Develop HL7-FHIR interoperability solutions using open-source GCP Healthcare API, Java library, Java - SMART on FHIR, DotNet FHIR Client and Server.
Blockchain pilots for immunization record sync up between administering providers and state registries, payer-provider claims and eligibility sync ups.
Clinical Decision Support for drug-allergy checking, basic dosing guidance, formulary decision support, duplicate therapy checking, and drug–drug interaction checking
Precision medicine by consuming genomic data into EHR workflow.
EMR Integration using interface engines Cloverleaf, Ensemble, Rhapsody, Mirth, Biztalk, IIB.
Health Information Exchange using
HL7, FHIR, X12, DICOM, TCL, CCD, CCA
API development using XML, JSON, Web-services, REST APIs on the Open API standard (Swagger/YAML) , AKANA