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HealthCare IT Challenges

At termGate, we offer specialized services designed to bridge the gap between clinical practice and cutting-edge technology. Our offerings support the digital transformation of healthcare through strategic consulting, standards-based interoperability, data modeling, AI implementation, and workforce enablement. Click to > Refer: Key Acronyms

IT Challenges & Solutions

Pharma companies often collaborate with CROs (Contract Research Organizations). termGate can act as a data interoperability partner, ensuring that both internal and external teams use standardized formats—minimizing friction and delays in trials.

IT ChallengestermGate’s Solution OfferingSolution Example
1. Integrating Real-World Data (RWD) for Research & Trials- Clinical Data Mapping
- Clinical Data Modeling
- Strategy & Advisory
- Mapping EMR data to OMOP or FHIR for drug safety studies
2. Lack of Standardization in Data from Multiple Sources- Clinical Data Mapping
- Use of Standardized Terminologies (SNOMED CT, LOINC, RxNorm)
- Harmonizing lab results from hospitals using LOINC for a vaccine study
3. Regulatory Compliance (e.g., FDA, EMA, CDISC standards)- Strategy & Advisory Services- Advising on how to structure trial data for FDA submission using CDISC/CDASH standards
4. Scaling AI Models for Drug Discovery or Pharmacovigilance- Healthcare AI & Prompt Engineering- Designing GPT-based prompts to summarize adverse event reports from multiple languages and formats
5. Limited In-House Expertise in Clinical Terminology & Standards- Clinical Terminology Training Services- Conducting training sessions on RxNorm & SNOMED CT for pharmacovigilance analysts

termGate can help hospital groups centralize data governance across multiple locations.

IT ChallengestermGate’s Solution OfferingSolution Example
1. Inconsistent Clinical Documentation & Terminology Usage- Clinical Data Mapping Services
- Clinical Terminology Training
- Mapping local diagnosis codes to SNOMED CT to standardize patient records
2. Poor Interoperability Between Systems (e.g., EHRs, Labs, Radiology)- Clinical Data Modeling Services
- HL7 FHIR Profiling
- Creating FHIR profiles to allow seamless data exchange between departments
3. Difficulty Integrating AI into Clinical Workflows- Healthcare AI & Prompt Engineering- Building LLM prompts to help doctors quickly summarize patient histories
4. Regulatory Pressure for Data Standardization (e.g., USCDI, NHS England)- Strategy & Advisory Services
- Clinical Data Mapping
- Aligning internal systems to meet USCDI data element requirements
5. Limited Staff Expertise in Coding Systems- Clinical Terminology Training Services- Hands-on training for nurses and coders in LOINC for lab data entry
6. Fragmented Data for Research & Population Health Management- Clinical Data Modeling
- Strategy & Advisory
- Converting patient data to OMOP CDM for internal research and analytics

termGate can serve as a “clinical data backend partner” for startups or mid-sized vendors that don’t have internal data science/terminology teams but need to scale fast and meet compliance standards.

IT ChallengestermGate’s Solution OfferingSolution Example
1. Difficulty Integrating Standard Clinical Terminologies- Clinical Data Mapping
- Clinical Terminology Training
- Mapping user-entered symptoms in a telehealth app to SNOMED CT for structured storage
2. Building Interoperable Systems that Comply with HL7 FHIR- Clinical Data Modeling
- HL7 FHIR Profiling
- Designing a FHIR-compliant Observation resource for vital signs in an EHR module
3. Weak Regulatory Compliance Around Data Standards- Strategy & Advisory Services- Guiding a digital therapeutics platform to meet ONC or CE certification requirements
4. Lack of Expertise in OMOP, LOINC, SNOMED CT, RxNorm- Clinical Terminology Training- Training product managers and developers to properly implement RxNorm for medications
5. Ineffective Use of AI/NLP in Products- Healthcare AI & Prompt Engineering- Crafting prompts for an AI assistant to extract symptoms from patient messages with clinical accuracy
6. Scaling Globally with Local Terminology Constraints- Strategy & Advisory Services
- Clinical Data Mapping
- Adapting terminology models for deployment in Europe (SNOMED CT) and Asia (ICD-10 variants)

termGate could become a long-term technical partner for national or regional health surveillance programs (e.g., tuberculosis, maternal health, NCDs). Also well-suited to support global health grant-funded initiatives (e.g., Gates Foundation, USAID, WHO digital health projects).

IT ChallengestermGate’s Solution OfferingSolution Example
1. Aggregating Data from Diverse Health Systems & Sources- Clinical Data Mapping
- Strategy & Advisory
- Standardizing COVID-19 case data from multiple hospitals using LOINC for lab results and SNOMED CT for symptoms
2. Lack of Unified Data Models for Population-Level Analysis- Clinical Data Modeling
- OMOP CDM Implementation
- Converting multi-site patient data into the OMOP Common Data Model for national chronic disease surveillance
3. Poor Interoperability Across Regional Health Systems- HL7 FHIR Profiling
- Clinical Data Modeling
- Developing shared FHIR profiles to integrate EHRs from urban and rural clinics
4. Inconsistent Use of Terminologies Across Jurisdictions- Clinical Terminology Training
- Clinical Data Mapping
- Training local health units to use standardized codes like ICD-10, SNOMED CT, and LOINC in outbreak reporting
5. Scaling AI Tools for Public Health Monitoring- Healthcare AI & Prompt Engineering- Creating AI prompts that analyze clinical texts and flag potential infectious disease patterns from EMRs
6. Limited Internal Expertise in Global Data Standards- Clinical Terminology Training
- Strategy & Advisory Services
- Advising a regional government on how to align with WHO data collection frameworks and standards

termGate can be positioned as a curriculum enrichment partner for health informatics programs. termGate can support grant applications by serving as the clinical data strategy arm of a research project (NIH, Horizon Europe, etc.).

IT ChallengestermGate’s Solution OfferingSolution Example
1. Lack of Standardized Data for Clinical Research- Clinical Data Mapping
- Clinical Data Modeling
- Mapping EHR data from different hospitals into OMOP CDM to enable cross-institution research on diabetes outcomes
2. Complex Data Integration from Multiple Systems/Sites- HL7 FHIR Profiling
- Strategy & Advisory
- Creating FHIR profiles to integrate lab and imaging data for a multi-center oncology study
3. Limited Expertise in Medical Terminologies- Clinical Terminology Training
- Strategy & Advisory
- Training researchers on SNOMED CT, LOINC, and RxNorm to label data correctly for machine learning
4. Difficulties Preparing Data for AI/ML Models- Healthcare AI & Prompt Engineering
- Clinical Data Modeling
- Engineering LLM prompts to extract structured findings from unstructured clinical notes for NLP models
5. Data Quality Issues Impacting Research Validity- Clinical Data Mapping
- Strategy & Advisory
- Identifying and fixing inconsistent lab result units and mapping them to LOINC codes before analysis
6. Teaching Gaps in Real-World Standards- Clinical Terminology Training- Offering SNOMED CT workshops or FHIR bootcamps for medical informatics students and faculty

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