Murali Janakiraman

In healthcare, data alone doesn’t mean much. The real magic happens when we turn that raw data into "actionable insights"—and that’s where the real impact on patient care begins. At NirogGyan | Smart Health Reports & AI, I’ve personally seen how converting complex lab data into simple, meaningful insights can completely change how patients and doctors interact. It’s not just about presenting results—it’s about giving people the power to understand their health and take action. Whether it’s catching early warning signs or fine-tuning treatment, those insights are what drive proactive healthcare. Data is just the start. What we do with it is what truly makes a difference. #HealthData #PatientCare #ActionableInsights #NirogGyan #HealthTech

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"GenAI approaches are remarkably effective in revenue cycle." AKASA CEO Malinka Walaliyadde chatted with Saul Marquez of Outcomes Rocket about how generative AI is impacting the revenue cycle, especially prior authorization. It can make staff both faster and better. Find out why so many health systems are using this new technology. Link to the full podcast is in the comments.

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I am speaking at #SCOPESummit in the #DCT Track on Feb 5th. What I love about our session, is that it's a collab between DTRA, ACRP, SCRS and Transcelerate. 4 organizations all trying to do their best to accelerate clinical development but ALSO HELP SITES in the process. For years we have been talking about being "Patient-Centric" and we should continue to do this but we need to up our game and be more "Site-Centric". That is what we're talking about and we will give updates to our progress. Join me On Feb 5th in the #DecentralizedClinicalTrials track. The topic is Decreasing Site Burden to Adopt DCT Methods. I'll be joined by Jane Myles, Sylvie Kruyner, Caroline Redeker, Jimmy Bechtel, MBA and Jessica Cronin. Florida in February? Yes please! #SCOPE2025 Decentralized Trials & Research Alliance (DTRA) ACRP - Association of Clinical Research Professionals Society for Clinical Research Sites (SCRS) TransCelerate BioPharma Inc. #DigitalHealth #BYOT #clinicaltrials

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Last week, Bob Bryan and John Valutkevich explored the evolving world of predictive Decision Support Interventions (DSI) in certified Health IT. The ASTP-ONC’s §170.315(b)(11) requirements are set to reshape how compliant EHR systems enhance predictive DSI capabilities and foster innovation in healthcare AI. Key insights from the session include: 📌 Breaking down the (b)(11) standards. 📌 Risk management considerations. 📌 Compliance strategies for AI vendors. Catch up now to see how these changes could impact the future of healthcare AI. https://loom.ly/gEie0Hk #HealthIT #PredictiveDSI #HealthcareAI #EHR

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Information Systems Research (ISR) has recently published a new article to the Articles in Advance page:   Article Title "How Hospitals Differentiate Health Information Technology Portfolios for Clinical Care Efficiency: Insights from the HITECH Act"   Authors Jessica Pye (deceased), Arizona State University Arun Rai, Georgia State University John Qi Dong, National Technological University, Singapore   Problem definition We examine how hospitals differentiate their HIT portfolios in response to cost inefficiencies in clinical care processes and HIT policy uncertainty.   Relevance Adapting HIT portfolios to address cost-based shortfalls and policy uncertainty is crucial in shaping service delivery and impacting care costs, making it a key concern for policymakers and hospital decision-makers. Theoretical foundations We combine behavioral theory and institutional theory to explain how hospitals differentiate their HIT portfolios through idiosyncratic learning in response to cost-based performance shortfalls and shifting isomorphic pressures from changes in HIT policy uncertainty.   Methodology We constructed a panel dataset of 11,316 hospital-year observations from 3,319 U.S. hospitals over 2007–2014 to investigate how hospitals’ HIT search differentiation is influenced by cost-based performance shortfalls and policy uncertainty during the phases of the HITECH Act, from conceptualization to enactment to enforcement.   Results Our research provides a key insight: Moderate policy uncertainty, particularly during the HITECH Act's phases, significantly shapes hospitals' search for novel HIT solutions to address performance shortfalls. Hospitals enhance their search differentiation when uncertainty decreases from conceptualization to enactment but reduce it as uncertainty diminishes from enactment to enforcement.   Contributions Our findings surface the utility of combining the behavioral theory of the firm with institutional theory to explain the interdependence among a hospital’s cost-based performance shortfalls, HIT policy uncertainty, and HIT search differentiation. They show how hospital managers and policymakers can reorient their strategies to leverage the interdependencies among these elements, thereby encouraging the pursuit of innovative HIT systems over widespread imitation, to effectively address cost-based performance shortfalls in hospitals.   Short quote Unlocking Healthcare Innovation: hospitals excel in deploying new technologies through peer benchmarking and navigating moderate regulatory uncertainty. Dive into our research to see the transformative impact of this benchmarking strategy combined with moderate policy uncertainty!"   #HealthcareInnovation #HITECHAct #PolicyImpact   Keywords search differentiation, health information technology, performance shortfalls, policy uncertainty, behavioral theory of the firm, institutional theory   Link to article: https://lnkd.in/djh84uad

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The authors describe a roadmap for addressing developing a framework to guide the application of coverage constraints in NCDs with CED requirements. #marketaccess #evidence #payer #healthcare #healtheconomics #heor #CMS #healthpolicy #medicare #patientaccess #pharma #outcomesresearch #outcomes #data #claims

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Interesting piece by #JAMA on the FDA's perspective on #AI in healthcare and biomedicine. It highlights how AI presents challenges but also great opportunities to impact health outcomes. The opportunities are immense as it relates to improving clinical research, drug discovery, drug development, clinical trial support, post-marketing surveillance, etc. What is essential however is the need to have optimized tools, regulation and established frameworks to ensure that AI models are safe and effective across diverse settings. This is an exciting time for ongoing AI innovation!

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Oracle Health announced plans to launch a next-generation EHR platform in 2025, incorporating advanced cloud and AI capabilities. This new EHR will feature Oracle's clinical AI agent, voice-activated navigation, and Health Data Intelligence, which integrates patient data from over 300 sources to enhance clinical workflows and improve patient outcomes. The platform aims to replace traditional EHRs, which often dictate rigid workflows, with a more dynamic system that allows for personalized care plans. Oracle Health emphasizes that the new EHR is a complete reinvention rather than an upgrade of the previous Cerner system. Additionally, Oracle plans to become a Qualified Health Information Network to facilitate standardized data sharing across the healthcare ecosystem. Executives at Oracle also unveiled new cloud applications to improve patient management and streamline front-office operations, reinforcing the company's commitment to enhancing healthcare accessibility and data utility while addressing interoperability challenges in the industry.

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Oracle's new AI-first EHR platform is poised to disrupt the market as we know it. Our role in supporting this healthcare transformation? Helping providers maximize value from historical clinical and financial data, and shortening the transition time between systems.   As the only healthcare data archivist in the Oracle Partner Network, Legacy Data Access will support organizations transitioning to Oracle's new EHR. 1. Our direct integration with Oracle Health EHR platforms ensures complete clinical history preservation and integration, while maintaining the highest standards of safety and physician satisfaction. 2. We leverage Oracle Cloud Infrastructure (#OCI), guaranteeing enterprise-grade security and compliance throughout the transition process. 3. LDA LongView(TM) – a first-of-its kind solution built within the Oracle Health co-development program – provides a comprehensive, longitudinal view of patient history directly within the EHR environment.   With proven expertise across all major healthcare platforms, we're ready to support your organization's journey to Oracle's next-generation EHR capabilities.   Contact us to learn how we can help make your transition seamless or visit our website to schedule a consultation. [Links in comments👇 ]   #HealthcareIT #EHR #OracleHealth #HealthTech   https://lnkd.in/e-WWDu5Y

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Good summary article outlining the benefits and challenges of enhancing clinical trials with mobile technology. "mHealth devices are revolutionizing clinical trials by enabling a site-less approach, where participants can join and provide data remotely, without needing to visit a trial site" Benefits: Rapid data transfer Globalization of trials providing access to remote populations Improved patient enrollment and retention Patient safety Centralized data monitoring Reduced costs Challenges: Workflow Digital literacy/HCP confidence Validation of devices Not really challenges but there are early and late adopters. Remember when some did not want to give up their Blackberry? https://lnkd.in/eGvJ9e_s #digitalhealth #clinicaltrials #DHT AliveCor

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https://lnkd.in/gvSeyCVf "Our emphasis on digital transformation lies in improving patient access, process efficiency, and patient and staff experience," said Omkar Kulkarni, MPH Kulkarni, chief transformation and digital officer of Children's Hospital Los Angeles." ☝️is the sweet spot of what we are solving with Q-rounds: ✅ Improving patient access: Q-rounds makes access to rounds a right not a privilege by inviting all families to rounds daily and giving families who can’t be there in person one click access to join rounds remotely. We have more than tripled family presence for rounds with over 10K families joining remotely. ✅Process efficiency: 100% of nurses and doctors said they wanted to see Q-rounds stay the standard of care after using it, and doctors reported statistically significant gains in rounding efficiency. ✅Improvong Patient and Staff Experience: Nurses are telling us they are eating lunch again for the first time in years because they know when the doctor will be there. In more than a year at the first site we’ve been live we haven’t had a single day the doctors didn’t choose to use Q-rounds for rounds! We are taking the waiting around out of rounds once and for all!

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This week's launch of Ask Avo (see announcement below) has truly excited healthcare leaders across the market! Here's 3 reasons why: 🩺 Ask Avo simplifies the way clinicians treat patients to help them tackle the growing complexities of patient care. With a constant streams of new evidence, growing prevalence of chronic diseases, rapid growth of available treatments, ongoing reimbursement changes, and resource constraints, clinicians need a simpler way of accessing information. 💻 Ask Avo is seamlessly integrated in the EHR (or available for use outside of it) enabling AI adoption to move swiftly without IT hassle or clinician disruption. AI has massive potential to improve patient outcomes and reduce physician burnout, but without seamless integration and an easy user experience, health systems won't adopt it and clinicians won't use it. Ask Avo gives clinicians what they need by asking it a single question. 🏥 Ask Avo helps health systems meet the increasing challenge of dealing with physician shortages. With physician shortages at an all time high, healthcare leaders are looking for ways to empowering APPs and other clinical support staff with the evidence and tools they need to take on more patient facing roles. See the announcement here: https://lnkd.in/eCWExGKB Thanks to HIT Consultant Media, HLTH Inc., Hospital Management, and Elion for helping us share the news! #HealthcareAI #AIchatbot #medicalchatbot #EHRs #healthtech

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📅 Mark your calendars for June 18! Discover how modern interoperability fuels patient engagement and improves outcomes through ML/AI. Our webinar will reveal insights from a survey of over 400 healthcare executives on the importance of seamless data integration in value-based care. Infor Healthcare 👉 Save your spot: https://bit.ly/3Xj2sps #ValueBasedCare #HealthcareData #PatientEngagement #Interoperability

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Interesting read 📑 : Amplifying the Patient's Voice in Oncology Early-Phase Clinical Trials: Solutions to Burdens and Barriers American Society of Clinical Oncology (ASCO) #ASCO #patientvoice #patientengagement #clinicaltrials #healthequity #oncology #patientexperience #patient #patientoutcomes #pro #trialdesign

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What do the ONC’s B.11 criteria mean for EHRs? Let’s break it down: 👉 B.11 expands on A.9 with a focus on transparency, interpretability, and accountability for AI/ML tools 👉 B.11 focuses not just on clinical decision support but ALL decision support 👉 B.11 expands regulations to include AI/ML technology that may be developed by third-party companies Want to learn more about ONC’s certification criteria and the steps you’ll need to take to achieve compliance? Watch our free webinar with Dr. Douglas Fridsma here: https://lnkd.in/e9NQbjnf

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“Companies selling clinical ambient AI documentation tools have quickly populated the sector aiming to reduce clinician burnout.” Really? Last I heard, the primary goal of these tools is to increase billing accuracy and opportunities by capturing EVERYTHING that happens once a patient walks in the door. Don’t take my word for it, check out HCAs most recent partnership announcement about thier ER ambient note initiative. Clinician burnout may be a byproduct of these tools, but it certainly doesn’t seem to be the primary goal. And don’t forget, the clinician still is required to sign off on these notes to ensure they are accurate. I’m not sure how much time the clinician saves if they are having to review their AI tools’ accuracy in their notes, but I’m sure they will be expected to see more patients. “The idea is to give clinicians the chance to talk with patients directly rather than having them stare at a computer screen while documenting in the EHR.” Fair enough. I also continue to wonder how patients are going to be able to give “informed consent” to this technology, or are is it just going to become part of the pro forma list of wavers they are forced to sign to be seen without any real opportunity to review much less object. I’d pay close attention folks. These tools leverage iPhones and Androids to listen in, send the audio to the AI tool in the cloud and then deliver “robust clinical notes” for the purpose of billing and revenue generation. Clinician burnout was an after thought. I’d put money on it.

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🚨New #JAMA Viewpoint 🚨 “Misaligned Pharmacy Incentives in Value-Based Care” The authors discuss how rising #prescription drug spending has been particularly challenging in the context of value-based contracts between payers and providers. This is partly due to confidential #rebates, which create misaligned incentives between payers/PBMs and hospital administrators. Read more below: 🔗 https://lnkd.in/dwzBT4WD #marketaccess #pbm #access #pricing #payer #valuebased #valuebasedcare #patientjourney #patientaccess #pharmacy #managedcare #pharma

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Healthcare payers are under increasing pressure to optimize costs, stay compliant, and remain agile. That’s why we’ve created a comprehensive eBook packed with practical strategies to help your organization thrive in the cloud. Don’t miss out on this essential guide to future-proofing your cloud operations. Download now and take the first step toward cloud excellence! https://lnkd.in/en3fA8_f #CloudFinOps

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Building the largest network of Payer Patient Access API FHIR servers has not been easy. Our November update to our network report is out! Flexpa has worked tirelessly with top vendors like Health Samurai | Aidbox FHIR® Platform and forward-thinking payers like Maryland Physicians Care to test and evaluate hundreds of CMS Payer Patient Access API implementations. More than anyone else. Our latest report covers the significant progress by vendors and payers since our last update, regulatory changes ahead, and opportunities for growth. 🚀 Improved API Implementations: Significant progress in Patient Access APIs through better collaboration between payers and vendors, making data access smoother. ⚖️ Regulatory Changes Ahead: New regs like CMS-0057-F and governance frameworks like TEFCA will bring more complexity on patient consent and payer data exchange. The CMS 9115 APIs have lessons here. 💡 Opportunities for Growth: There are still gaps in coverage and authorization workflows, presenting key opportunities for improving the Patient Access API ecosystem, and the opportunity of Individual Access Services.

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