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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.,



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



Develop HL7-FHIR  interoperability solutions using open-source GCP Healthcare API, Java library, Java - SMART on FHIR, DotNet FHIR Client and Server.

Develop FHIRBase  open source relational storage for FHIR with document API for persistence of FHIR data and documents.

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


API development using  XML, JSON, Web-services, REST APIs on the Open API standard (Swagger/YAML) , AKANA


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