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Clinical Architecture
Clinical Architecture was founded in 2007 by industry veterans, clinicians, and informatics experts to deliver innovative solutions that maximize the effectiveness of healthcare. We work with leading organizations including four of the top five health systems, EHR/HIE vendors, the Joint Commission, the CDC, and others to solve challenges around healthcare data quality, interoperability, and clinical documentation.
Mission/Vision
Our mission is to deliver innovative solutions that maximize the effectiveness of healthcare.
Type of Organization
Vendor - i.e. Established companies, non-startup
Size of Organization
50-100
Organization Mailing Address
11611 N Meridian St
Ste 500
Carmel, IN 46032
United States
Symedical
Symedical is an innovative, vendor-neutral solution designed to improve healthcare data quality, provide a platform to enable the aggregation of clinical data, automate semantic normalization and interoperability, and enrich your data to make it meaningful and actionable.
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Symedical supports centralized control of terminology by supplying content, tools, and integration software in one enterprise solution. The Content Portal provides content assets that include standard terminologies, HL7 value sets (including FHIR), reference maps, and more. Authoring, mapping, modeling, normalization, and other capabilities are included in the Terminology Management Suite, along with additional modules for distribution, remote access, and other advanced functionality. Sophisticated term search, relationship navigation, and real-time interoperability are easily integrated with Symedical’s runtime web services (APIs).
Use Cases for Symedical:
Master Data Management
Reference Data Management
Semantic Interoperability & Normalization
Content Acquisition, Distribution, & Deployment
Use Cases for Symedical:
Master Data Management
Reference Data Management
Semantic Interoperability & Normalization
Content Acquisition, Distribution, & Deployment
Category of Innovation
Health IT - Health IT refers to the “pipes” or “infrastructure” that technological systems are built upon and that digital health solutions may use to provide information or other necessities. Ex. Electronic medical records (EMRs)
Intended End User
Provider - Individuals or organizations responsible for providing care to patients (e.g. doctors, nurses, hospital/clinic administrators, etc.)
Payer - Organizations responsible for issuing or administering payment for the care received by a population of people (e.g. insurance companies)
Policymaker - Elected officials and departments within local, state and federal governments responsible for crafting and implementing health care policy (anyone who has or is campaigning to have a “.gov” email address)
Vendor - i.e. established company, non-startup
Impactful Innovation Stage (Click Here for Details)
Impact
Idea/solution to the problem, if applicable
The ability to access and fully control data across an enterprise can reduce the time and effort needed to derive meaningful insight from data. Accurate, consistent, comprehensive, and trustworthy data can help you confidently make intelligent data driven decisions and achieve success with population health, health information exchange, quality reporting, and value-based care, and more.
Level of adoption (i.e. list of customers/users, testimonials, etc.), if applicable
Symedical is used across the healthcare industry in four of the five top US health systems, three of the seven best in KLAS HIE vendors, several major EHRs, many large state and regional HIEs, and a growing number of government organizations.
Impact (i.e. measurable outcomes), if applicable
Client Impact Example: A large health system client was looking to deliver high-quality care and better patient and provider experiences at a lower overall cost. The health system was also seeking to maximize their investment in people, such as data stewards, by leveraging their work across multiple regions to reduce training costs and duplication of effort while improving overall data quality.
Results:
• Undocumented Diagnosis Findings - Type II Diabetes Mellitus, ~3,500 patients identified, Estimated cost savings = $10M+/year
• 20% overall reduction in hospital-acquired infections
• 22% reduction in joint replacement infections
• 15.9% reduction in C. difficile infection in facilities where the data information is currently implemented
Annual Savings
• Over $5M in first savings
• Nearly $30M in second year
• Projected to triple savings (nearly $90M) in third year
Results:
• Undocumented Diagnosis Findings - Type II Diabetes Mellitus, ~3,500 patients identified, Estimated cost savings = $10M+/year
• 20% overall reduction in hospital-acquired infections
• 22% reduction in joint replacement infections
• 15.9% reduction in C. difficile infection in facilities where the data information is currently implemented
Annual Savings
• Over $5M in first savings
• Nearly $30M in second year
• Projected to triple savings (nearly $90M) in third year
Funding Stage
Not Applicable
Certifications?
Yes
HIPAA