HealthVision

Continuity of care, care management, and care optimization; clinical operations, clinical performance, pre-visit and pre-surgery planning; post-acute network management; network, market, and financial performance and insights; population health management and value-based care; quality and safety: 

*Embedded EHR predictors enterprise-wide (ambulatory and inpatient settings) 

*Hundreds of predictive models built on HDAI’s baseline risks​ - delivery of baseline, encounter-based risks 

*Ambulatory clinical decision support​ - risk predictions for patients with consult visits to support decisions about the right clinical next step

*Discharge planning​ - evaluating discharge and next-site-of-care decisions, including SNF/HHA performance insights

*Post-discharge follow-up protocols​ - ensuring the highest-risk patients receive an appropriate share of support after discharge​

*Peri-operative adverse event risk management - focus visits around a patient’s areas of highest risk to enable optimization that improves expected surgical outcomes​

*Contracting and network design support​ - sophisticated network analytics to support decisions for provider performance, recruitment, and network optimization

*ACO patient targeting​ - smart cohorts focused on demonstrated areas of highest opportunity to enable high-ROI, precise interventions by care managers​

*Collaborate on diagnostic-grade models​ - partnership between data science teams to leverage new data sets to build diagnostic-grade models 

Clinicians, clinical care teams, and care managers; C-suite executives; Innovation and Quality leaders; Chief Medical Officers; Population Health leaders; Chief Nursing Officers; support/office staff 

HDAI uses GPT/LLM and AI predictive models to dynamically canvas the EHR to extract, synthesize, and risk prioritize the most relevant information. HealthVision™ allows clinicians to effectively focus on care planning instead of searching the EHR. 

The EHR has changed the way we practice medicine, burdening clinicians with mountains of data and forcing them to spend their precious time in front of computers instead of with their patients. When the healthcare industry first transitioned paper records to electronic, the intention was to have all patient data accessible in one place, alleviating the healthcare system of cumbersome physical storage spaces for medical records and administrative staff to manage it. ​

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However, the EHR has overburdened clinicians with documentation tasks that were once allocated to administrative professionals ​and has clinicians combing through an inordinate amount of disparate and disorganized data to find relevant patient information.