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Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Health equity
Keywords
Media
Company details
Jump to:
Categories
Solutions
Description
Compatibility Level
Clients
Product Capabilities
Use cases
EHR integrations
Client types
Differentiators
Health equity
Keywords
Media
Company details
HealthVision
HealthVision

Categories

Solutions

Description

Product Description:

The Pieces Ambulatory Platform further enhances documentation through two primary mechanisms: first, by generating a comprehensive lifetime summary from patient data, providing essential context for each visit; and second, by integrating Pieces in Your Pocket’s intelligent voice feature with pre-drafted note, allowing providers to effectively document actions taken or planned for the patient. This input is processed with natural language processing (NLP) and natural language generation (NLG) techniques, ensuring semantic clarity and reducing cognitive load for clinicians. This functionality not only minimizes documentation time but also alleviates cognitive overload, enabling providers to focus on delivering quality care.

About Pieces:

Our mission is to better people’s health and wellbeing. We do that by combining artificial intelligence with deep clinical knowledge to predict outcomes and present actionable information to healthcare providers. We also connect people to needed community services and community services to one another. By reducing manual effort our customers can spend more of their time helping people rather than entering, organizing or sifting through data.

Product Description:

HealthVision, the Intelligent Health Management System, is transforming care across health systems and value-based care organizations. HealthVision is made up of three key components:

*The Intelligent Health Record - what if you could see critical information from hundreds of EHR pages in a one-page patient chart and risk summary that serves the entire care team? HealthVision's Patient Spotlight is an easy to digest health profile and risk prediction tool. The Patient Spotlight helps clinicians make sense of the increasingly unwieldy and unmanageable health data in their EMRs in real-time.
*The Intelligent Workflow Solution - who among your patients will have an unplanned admission in the next 90 days? An ED visit in the next 30 days? The Intelligent Workflow Solution includes smart cohorts and rosters that align your scarce clinical, documentation, and administrative resources with the patients who will benefit the most. 

*The Intelligent Analytics Solution - how do your providers' mortality, hospitalizations, infection rates compare? Can your benchmarking system really match apples to apples? The Intelligent Analytics solution matches your population to others outside of your organization with the same baseline risk results. These precise comparisons are an important way to build trust and momentum among providers. 

About Health Data Analytics Institute:

HDAI is a high-growth, visionary company with innovative solutions that free up clinical time, enhance the provider experience, and support outcomes, efficiency, and economic improvement initiatives for health systems and value-based care organizations. 

Compatibility level

Select which hospital or health system you work at and see a personalized compatibility level.

Clients

Select which hospital or health system you work at and see the client list

Product Capabilities

The Pieces Ambulatory Platform leverages context-awareness by integrating and interpreting diverse patient data from ambulatory EHRs. It dynamically adjusts patient risk scores, personalizes insights, and modulates alert thresholds based on the patient’s current condition, medical history. This ensures proactive care interventions, minimizes unnecessary interruptions, and provides a holistic view of the patient, enabling care teams to deliver more efficient, tailored care.

It integrates natively with ambulatory EHR systems, ensuring a consistent user experience across devices and platforms, from desktops to mobile applications. By aligning with care team workflows and providing real-time insights directly within the EHR, the platform minimizes disruption and enhances efficiency, enabling care teams to focus on delivering high-quality, patient-centered care.

The Pieces Ambulatory Platform supports scalability and interoperability, making it suitable for deployment across individual clinics, ambulatory networks, and large healthcare systems. Its architecture allows seamless integration with multiple EHR platforms through open standards and APIs, ensuring compatibility with existing healthcare IT systems and devices. The platform's modular design enables efficient scaling, from small clinics to expansive healthcare systems, while maintaining consistent functionality and performance. This capability facilitates future expansion and allows organizations to adapt to evolving needs without disrupting workflows, making it a robust solution for diverse care settings.

With low/negligible hallucination rates in its AI models, the Pieces ambulatory platform consistently generates accurate and trustworthy patient summaries. This reliability is critical in tailoring clear, concise, and actionable insights for care teams, ensuring that critical information is always available, even during connectivity challenges, to support informed decision-making and efficient patient care.

The Pieces Ambulatory Platform delivers measurable impact by providing clear metrics and analytics that demonstrate its value in improving patient care and operational efficiency. It aligns with key performance indicators such as reducing length of stay, enhancing documentation quality, and decreasing clinician burnout. By offering tools for continuous quality improvement, such as real-time performance dashboards and detailed impact reports, the platform empowers organizations to track progress, optimize workflows, and achieve their clinical and financial goals effectively.

The Pieces Ambulatory Platform ensures robust data protection and compliance with healthcare regulations by adhering to HIPAA standards, safeguarding patient privacy, and enabling secure data sharing among relevant care team members. The platform's TX-RAMP certification further demonstrates its commitment to maintaining rigorous security protocols for cloud-based services, ensuring compliance with Texas state requirements. Additionally, Pieces is actively upgrading to FEDRAMP certification, which will enhance its ability to meet federal security and privacy standards. These measures include granular access controls, audit trails, and advanced encryption, ensuring that patient information is shared securely and only with authorized individuals, supporting both privacy and care coordination.

Use Cases

Description:

None provided

Pediatric use cases:

None provided

Users:

None provided

Description:

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 

Pediatric use cases:

None provided

Users:

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 

EHR Integrations

Integrations:

Acute care EMR

EMR Integration & Relevant Hardware:

Required

EMRs Supported:

Epic

Hardware Compatibility:

None provided

Integrations:

Acute care EMR, Ambulatory EMR, Ancillary EMR

EMR Integration & Relevant Hardware:

Use case dependent

EMRs Supported:

Epic

Hardware Compatibility:

None provided

Client Types

Differentiators

Differentiators vs EHR Functionality:

Pieces summary and insights are placed within the EHR, i.e. within the clinician's workflow in the EHR. 

Instead of presenting an array of data, Pieces Working Summary generates real-time, concise summaries of complicated hospital cases, mimicking what a physician would write. 

Differentiators vs Competitors:

None provided

Differentiators vs EHR Functionality:

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. 

Differentiators vs Competitors:

HealthVision is the first and only enterprise-wide, AI-powered intelligent health management system and is currently being used by Houston Methodist and other leading healthcare systems and ACOs. The platform has a broad range of capabilities which combined create a unique ability to address healthcare challenges across the care continuum (outpatient, inpatient, post-acute, etc.).

It simplifies information retrieval for clinicians, distilling hundreds of pages and notes for an individual patient in a typical electronic health record into an AI-synthesized one-page, individually configurable view that summarizes a patient’s medical history and granular risk profile. ​

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It allows a health system or risk bearing provider entity to identify and proactively manage patients at high risk of dozens of adverse events and excess utilization, including readmissions, extended length of stay and mortality. ​

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It enables sophisticated performance and network analysis. Using the nation’s largest longitudinal dataset (140 million patients, 0.5 trillion records), we have developed detailed performance profile on every physician and health care facility in the country.​

In addition to running Generative-AI and 100s of predictive models in real-time within the EHR environment, HealthVision is also designed to enable rapid deployment of local institutional models allowing agile and cost-effective real-time implementations of internally developed AI solutions.​

Health Equity

Keywords

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HealthVision Patient Profile

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Greenwald 2023, RSI State validation

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Company Details

Founded in 2015

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