Vitora’s Post

Healthcare IT standards are crucial to an organization for providing accurate and quality data for patients. As a CMIO, it is recommended you read this blog post to ensure you are up to date on these standards! #CMIO #HealthcareData

Dive into the changing landscape of e-prescribing! CMS introduces new data standards to boost clinical decision support. Explore the impact on EHR vendors with Nick Barger at DrFirst, Inc.: https://lnkd.in/gbS8E7YN #EHR #HealthData #HITsm

What are the most significant obstacles to using electronic health records (EHRs)? Klas Research asked 33,000 clinicians across over 300 healthcare organizations this question and compiled their answers in the 'EHR Interoperability 2024' report. When asked specifically about their experiences with patient data from external organizations, 47% mentioned the lack of proper integrations to access EHRs. At Tiga Healthcare Technologies, we utilize our expertise to develop healthcare IT products that enhance efficiency and lead to better treatment outcomes. Our Healthcare Interoperability product family, which includes Health Information Exchange (HIE) Viewer, Terminology Server, FHIR Stack and Enterprise Master Patient Data Index (EMPI), is designed to meet clinicians' most urgent needs around integration and data accessibility. This way, we offer successful solutions against health data inefficiencies affecting nearly half of the physicians and clinicians surveyed in the Klas report. Let's shape the future together with the power of interoperability, as always! Further insights from the ‘EHR Interoperability 2024’ report: https://lnkd.in/dvxJSJHN  #Tiga #HealthcareIT #PharmaIT #EHR #Interoperability 

FHIR APIs: A Step-by-Step Guide for Beginners Anita Nayak ClinDCast 🌟 Key Takeaways from 1️⃣FHIR standardizes healthcare data exchange using modern APIs and technologies. 2️⃣Learn to create, read, update, and delete healthcare resources efficiently. 3️⃣Streamline EMR integration, ensuring interoperability and optimizing healthcare solutions development. read more: https://lnkd.in/d_BnQuYM #fhirapi #FHIR #fasthealthcareinteroperabilityresources #hl7fhir #interoperability #healthcaretechnology #healthcareit #healthcareinnovation #fhirdeveloper

🚀 Transform your healthcare operations with IT Medical's advanced Data Analytics Services! IT Medical offers tailored solutions that significantly improve patient outcomes, operational efficiency, and personalized care, benefiting your healthcare organization, and ensuring full compliance with HIPAA, FDA, and other critical standards. Top Use Cases for Healthcare Data Analytics: 💊 Disease Course Prediction: Identify at-risk patients and forecast disease progression using EHRs and RPM data. 💊 Treatment Planning: Develop personalized treatment models based on comprehensive patient data. 💊 Chronic Condition Control: Monitor and analyze chronic conditions to provide timely interventions. 💊 Patient Load Management: Anticipate patient flow patterns to optimize resource allocation. 💊 Patient Engagement: Tailor services and communication to better meet patient needs. Let IT Medical guide your organization in turning complex data into powerful insights. Learn more on our website: https://lnkd.in/eRcBViiy #ITMedical #HealthcareAnalytics #DataDrivenCare #HealthcareInnovation

----- 𝑾𝒉𝒂𝒕 𝒂𝒓𝒆 𝒕𝒉𝒆 𝒍𝒆𝒗𝒆𝒍𝒔 𝒐𝒇 𝒊𝒏𝒕𝒆𝒓𝒐𝒑𝒆𝒓𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝒊𝒏 𝒉𝒆𝒂𝒍𝒕𝒉𝒄𝒂𝒓𝒆? Interoperability is the ability of different healthcare systems, applications, or services to communicate and exchange data accurately, efficiently, and securely. HIMSS defines four levels of interoperability: foundational, structural, semantic, and organizational. Let's explore each level using healthcare-related examples and analogies: 1. Foundational Interoperability Foundational interoperability ensures that different systems can connect and exchange data securely. It's like sending a fax: the receiving system can acknowledge receipt of the data, but it can't interpret or process it further. Example: Sharing a patient's discharge summary as a PDF document between two systems. The receiving system can store the document, but it can't automatically update the patient's electronic health record (EHR) without manual effort. 2. Structural Interoperability Structural interoperability defines the format, syntax, and organization of data exchange, enabling systems to understand the meaning of the data. It's like using a common language: both systems can communicate effectively, but the meaning of the data is still limited to the specific context. Example: ePrescribing uses standardized data formats and messaging protocols, enabling accurate prescribing between healthcare providers and pharmacies. 3. Semantic Interoperability Semantic interoperability ensures that data is not only exchanged accurately but also understood meaningfully by the receiving system. It's like having a shared vocabulary: both systems can exchange data with a common understanding of its meaning, enabling more informed decision-making. Example: Using standardized clinical terminologies like SNOMED CT, ICD, and LOINC enables healthcare providers to share patient data with a common understanding of medical concepts, reducing errors and improving care coordination. 4. Organizational Interoperability Organizational interoperability addresses the non-technical aspects of data exchange, including governance, policy, social, legal, and organizational considerations. It's like building a community: multiple stakeholders work together, sharing data and resources to improve healthcare outcomes. Example: Health data utilities (HDUs) facilitate statewide data exchange, combining, enhancing, and exchanging electronic health data for treatment, care coordination, quality improvement, and public health purposes. In conclusion, interoperability is essential for seamless data exchange and effective healthcare delivery. By understanding the different levels of interoperability, healthcare organizations can work towards achieving a more connected and efficient healthcare ecosystem. #healthcareinteroperability

HSBlox, Inc's COO (Lynn Carroll) and other experts talk about how are payers leveraging innovative technologies and data analytics to enhance their decision-making processes and improve the overall efficiency of healthcare management. "It is imperative that payers have comprehensive, accurate patient data and be able to analyze and share that data to support new models of value-based care. Integration of digitized data with structured and external data sets can provide a holistic view of the patient that enables actionable insights, allowing payers and providers to reduce costs and improve care quality under #VBC contracts." #vbc, #vbaforvbc, #vba , #valuebasedcare, #alternativepayments, #wholepersoncare, #contractbuilder, #valuebasedinfrastructure, #dataengineering, #datascience, #interoperability, #fhir , #hl7 , #edi , #unstructureddata Rahul Sharma, Lynn Carroll, Deepti Sharma ,CPC CMHP, Mohan Badkundri, Karthik Kanakaraj, Kimberly Shepard, Eric D. Young, John Layne, Carl King, Amol Bapat, MD, FACC, Michael Roach https://lnkd.in/eW6-3Avp

#Healthcare industry is currently confronting a significant challenge: data fragmentation. This issue transcends mere IT complications, disrupting patient care continuity and reducing operational efficiency. Fragmented data systems lead to gaps in patient histories and inflate administrative workloads, ultimately compromising care quality. To construct a Unified Patient Repository and combat data fragmentation, the following steps are essential: 1. Adopt HL7 FHIR Standards: Implement HL7 FHIR for interoperability, enabling diverse applications to share patient data cohesively. 2. Leverage API-led Connectivity: Use APIs to integrate disparate systems, ensuring smooth data flow within the healthcare network. 3. Modernize Legacy Systems: Upgrade outdated technologies to communicate with modern solutions, reducing disruption in the transition. Robust security protocols, including advanced encryption, strict access management, and persistent monitoring, are critical to uphold patient data integrity and trust. Adherence to HIPAA and other regulations is a testament to our commitment to data stewardship and patient confidence. The investment in Unified Health Records yields substantial ROI through enhanced operational efficiency, reduced unnecessary testing, and elevated patient care. Such integrated systems empower healthcare providers with swift decision-making and the ability to tailor personalized care plans, improving patient outcomes and satisfaction. Artificial Intelligence (AI) is transforming healthcare, optimizing operations, and enabling predictive analytics that integrate with unified health records to elevate care delivery. The unified approach offers unmistakable benefits: - Enhanced Accuracy & Safety: Centralizing health records reduces medical errors and increases patient safety. - Boosted Operational Efficiency: Streamlined systems expedite administrative tasks, reallocating resources to patient care. - Elevated Patient Satisfaction: Immediate access to complete patient histories facilitates personalized treatment, enhancing patient engagement and health results. - Informed Public Health Insights: Comprehensive data analysis aids in shaping public health initiatives and policies. By adopting these strategies, healthcare organizations can resolve data fragmentation and emerge as industry leaders in shaping the future of healthcare delivery. For healthcare leaders eager to address data fragmentation and drive innovation, I encourage you to book a meeting with us for tailor-made solutions: https://lnkd.in/gmNH3Eyj #DoTheUnthinkable #SoftwareEngineering

Learn how to efficiently extract and integrate FHIR Bulk Data, enhancing data accessibility and interoperability in healthcare. This guide discusses the tools, techniques, and benefits of utilizing the FHIR Bulk Data API, which simplifies the process of handling large datasets from electronic health records, improving the efficiency of data analysis and sharing across medical organizations.

How Redox uses Carequality to fill the gaps in healthcare data. Carequality is a framework for standard-based data exchange between healthcare organizations. It allows you to exchange data with more than 70% of U.S. healthcare providers via a network approach. Redox has been implementing Carequality for its customers since 2018 and more than 6,000 organizations are using Carequality via its Redox Access product. 🤔 Want to know if Carequality is for you? 🤔 Here are some key considerations: 1️⃣ General clinical snapshot of a patient: In the form of a CDA 2️⃣ Querey-based network: Ideal for a patient's care summary 3️⃣ Requires Reciprocity: Query data = Sharing data 4️⃣ Who is allowed to use Carequality: Must have Treatment Purpose of Use Healthcare software vendors that are new to integrations find that using Redox Access quickly proves its value and allows them to seamlessly scale to more BAA-facilitated integrations. In part 3 of our blog, Brendan Iglehart, Staff Solutions Engineer at Redox and interoperability veteran, discusses Carequality, its considerations, and how Redox's product offerings provide a holistic approach to healthcare data exchange. #carequality #interoperability #healthcare #healthtech #EHRintegration