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Salesforce Health Cloud

How Salesforce Health Cloud’s 360-Degree CRM View Enhances EHR Performance

Salesforce Health Cloud is a powerful Customer Relationship Management (CRM) platform designed for healthcare, offering a comprehensive 360-degree view of patient data. By consolidating medical records, test results, and insurance details from multiple sources, it bridges the gap between clinical and non-clinical information in real time—empowering providers with actionable insights. Recent studies highlight the impact of healthcare CRM solutions: With AI-driven predictive analytics and seamless EHR integration, Salesforce Health Cloud is transforming care coordination. By eliminating data silos, streamlining workflows, and boosting patient engagement, it enhances EHR performance, clinical outcomes, and operational efficiency. In this insight, we explore how Salesforce Health Cloud’s 360-degree CRM view elevates EHR capabilities. Understanding EHRs and Healthcare CRMs What Are EHRs? Electronic Health Records (EHRs) are digital versions of patient charts, providing real-time access to authorized users. Unlike traditional paper records, EHRs enable seamless data sharing across: What Are Healthcare CRMs? Healthcare Customer Relationship Management (CRM) systems focus on patient engagement, care coordination, and experience optimization. Key features include: How a 360-Degree CRM View Boosts EHR Performance 1. Enhanced Data Integration & Visibility A 360-degree CRM view unifies clinical, administrative, financial, and patient interaction data into a single platform. This integration: 2. Optimized Operational Efficiency By integrating CRM data directly into EHRs, healthcare organizations can: 3. Personalized Patient Engagement A holistic CRM view helps providers understand each patient’s: This enables: 4. AI-Powered Actionable Insights Integrating AI and machine learning with a 360-degree CRM view allows: Tectonic’s Salesforce Health Cloud Solution Tectonic delivers customized Salesforce Health Cloud solutions to maximize efficiency, patient outcomes, and workflow optimization. Our expertise includes: ✔ Custom implementation tailored to your organization’s needs✔ Seamless integration with EHRs, billing systems, and patient engagement tools✔ Comprehensive training to empower care teams✔ Ongoing support for updates, performance tuning, and troubleshooting With Tectonic, unlock the full potential of Salesforce Health Cloud—transforming patient care and operational excellence. Ready to enhance your EHR performance? Let’s connect!  Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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AI-Driven Healthcare

The Future of Healthcare is Digital

Transforming Healthcare with Salesforce Health Cloud In our rapidly evolving healthcare world, digital transformation is no longer optional—it’s essential. Healthcare organizations must leverage innovative solutions to improve patient outcomes, streamline operations, and drive financial growth. Salesforce Health Cloud empowers providers, payers, and life sciences companies to deliver personalized, connected, and data-driven care. The Urgency of Digital Transformation in Healthcare Healthcare organizations face increasing pressure from regulatory requirements, patient expectations for seamless digital experiences, and operational inefficiencies. Traditional systems are often fragmented, making it difficult to provide a unified patient experience. Salesforce Health Cloud addresses these challenges by enhancing communication, centralizing data, and optimizing workflows. Key Benefits of Salesforce Health Cloud ✅ Enhanced Patient EngagementPatients expect convenience, transparency, and personalization. Health Cloud delivers seamless communication through patient portals, automated reminders, and AI-driven insights—leading to higher engagement and improved adherence to treatment plans. ✅ 360-Degree Patient ViewBy integrating data from electronic health records (EHRs), wearable devices, and other sources, Health Cloud provides a unified patient profile. This empowers providers and payers to make data-driven decisions that improve both clinical and business outcomes. ✅ Operational Efficiency & Cost ReductionHealth Cloud automates workflows, reduces redundancies, and improves productivity by integrating clinical, operational, and administrative processes. Real-time collaboration enhances care coordination across teams and organizations. ✅ AI-Powered Insights for Better Decision-MakingWith AI-driven analytics and predictive insights, healthcare organizations can identify at-risk populations, optimize resource allocation, and enhance population health management. Salesforce Einstein AI helps forecast trends and personalize care recommendations. ✅ Interoperability & Regulatory ComplianceNavigating complex healthcare regulations is easier with Health Cloud’s secure architecture, ensuring compliance while enabling seamless data exchange between systems and stakeholders. Why Healthcare Organizations Should Adopt Health Cloud Investing in digital transformation provides a competitive advantage by improving patient satisfaction, reducing operational costs, and driving better health outcomes. Salesforce Health Cloud enables organizations to future-proof their operations, boost revenue, and implement a seamless, value-based care model. Use Cases of Salesforce Health Cloud 🏥 Health Insurers – Improve member engagement, claims processing, and care management to enhance efficiency and reduce costs. 🏥 Hospitals & Health Systems – Streamline care coordination, minimize readmissions, and enhance patient experiences with personalized care plans. 🏥 Home Healthcare & Telemedicine – Enable remote patient monitoring and virtual care, improving accessibility while reducing hospital visits. 🏥 Life Sciences Companies – Accelerate drug development, streamline clinical trials, and enhance collaboration with providers and patients. The Future of Healthcare is Digital Salesforce Health Cloud is at the forefront of healthcare’s digital revolution. By leveraging AI, automation, and seamless integrations, healthcare leaders can improve patient experiences, drive operational efficiency, and ensure long-term success. Now is the time to embrace a data-driven approach to healthcare management. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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AI Arms Race

AI-Powered Cancer Immunotherapy

AI-Powered Cancer Immunotherapy: How Predictive Models Are Personalizing Treatment The Challenge of Predicting Immunotherapy Success Immunotherapy—particularly immune checkpoint inhibitors (ICIs)—has revolutionized cancer treatment, offering long-term remission for some patients with lung cancer, melanoma, and kidney cancer. However, only 20-40% of patients respond to ICIs, and clinicians struggle to predict who will benefit. Current biomarkers like tumor mutational burden (TMB) and PD-L1 expression are expensive, inconsistent, and not universally applicable. This leaves doctors relying on trial-and-error approaches, delaying effective treatment and increasing costs. SCORPIO: An AI Tool Using Routine Blood Tests to Predict Treatment Response Researchers from Mount Sinai’s Tisch Cancer Institute and Memorial Sloan Kettering Cancer Center have developed SCORPIO, an AI model that predicts ICI effectiveness using routine blood tests and clinical data—eliminating the need for costly genomic sequencing. How SCORPIO Works Key Advantages Over Traditional Methods ✔ More accurate than PD-L1 & TMB testing in trials✔ Works across 21 cancer types (validated in 10,000+ patients)✔ Low-cost & scalable—uses existing lab tests✔ No specialized equipment needed, ideal for resource-limited settings Why This Matters for Cancer Care Next Steps: From Research to Real-World Use Before widespread adoption, SCORPIO will undergo prospective clinical trials to confirm real-world performance. Challenges include: The Future of AI in Immunotherapy SCORPIO is part of a growing wave of AI tools transforming oncology: As Diego Chowell, PhD (Mount Sinai) notes: “SCORPIO represents a major step toward democratizing precision oncology—making advanced cancer care accessible to all patients, not just those at specialized centers.” The Bottom Line AI is shifting immunotherapy from trial-and-error to predictive, personalized medicine. With tools like SCORPIO, the future of cancer treatment is smarter, faster, and more equitable. Next Frontier? Combining AI with real-time patient monitoring to dynamically adjust therapies—bringing us closer to truly adaptive cancer care. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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How Advanced Analytics is Reducing Clinical Waste in Healthcare

As U.S. healthcare spending surges—reaching $4.9 trillion in 2023, a 7.5% increase from the previous year—health systems are seeking innovative ways to curb unnecessary costs. One key area of focus? Clinical waste—avoidable medical services that drive up expenses without improving patient outcomes. MultiCare Health System, a 13-hospital network based in Washington, has successfully tackled this challenge using AI-powered clinical decision support (CDS) tools. Partnering with health tech company IllumiCare, MultiCare has reduced unnecessary lab tests and medication orders, saving $2.5 million while maintaining care quality. What is Clinical Waste? Clinical waste refers to unnecessary medical services—such as redundant lab tests, excessive imaging, or inappropriate prescriptions—that inflate costs without benefiting patients. Studies show: Dr. Arun T. Mathews, MultiCare’s Regional Chief Medical Officer, explains: “A patient doesn’t always need a daily blood draw. The extra data may not help—and could even harm them.” How MultiCare is Cutting Waste with AI MultiCare deployed IllumiCare’s Smart Ribbon, an EHR-integrated CDS tool that: Key Features: ✔ Passive vs. Active Alerts – Clinicians receive contextual nudges (e.g., switching from IV to oral meds when appropriate).✔ Automated Order Adjustments – If a doctor accepts a recommendation, the system updates the order automatically, reducing cognitive load.✔ Shared Savings Incentives – Physicians earn performance bonuses for adopting cost-effective practices. Overcoming Adoption Challenges Initially, clinicians ignored alerts, seeing them as extra work. MultiCare’s solution? Result: The Bigger Picture While cost savings matter, patient care remains the priority. As Dr. Mathews notes: “The real win? Fewer unnecessary needle sticks, faster IV-to-oral transitions, and a better patient experience.” What’s Next? MultiCare plans to expand the tool systemwide, proving that smart analytics + clinician engagement can reduce waste without sacrificing care quality. Advanced analytics in healthcare leverages data to identify and address inefficiencies, ultimately reducing clinical waste by optimizing resource allocation, streamlining operations, and improving patient care, leading to cost savings and better outcomes.  Key Takeaway:By combining AI-driven insights with physician incentives, health systems can cut waste, lower costs, and keep patient care at the forefront. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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AI-Powered Smarter Media

AI Transforming Precision Medicine

How AI-Driven Data Curation is Transforming Precision Medicine Precision medicine—a healthcare approach that personalizes disease prevention and treatment based on insights into a patient’s genes, environment, and behavior—holds incredible promise. However, its success depends on high-quality, curated data from sources like electronic health records (EHRs). This reliance creates significant challenges for healthcare providers and researchers. Can artificial intelligence (AI) help address these hurdles? AI-enabled data curation is already making strides in advancing precision medicine, particularly in oncology. By analyzing vast datasets, including structured and unstructured information, AI is helping healthcare organizations accelerate research and improve patient outcomes. Data Curation Challenges in Precision Medicine Real-world data (RWD) is a key driver of precision medicine, but processing this data is fraught with challenges. According to Dr. C.K. Wang, Chief Medical Officer at COTA, Inc., EHRs provide unprecedented access to detailed patient information, enabling deeper insights into care patterns. However, much of this data resides in unstructured formats, such as clinicians’ notes, making it difficult to extract and analyze. “To transform this unstructured data into actionable insights, significant human expertise and resources are required,” Wang explained. While AI tools like COTA’s CAILIN, which uses advanced search capabilities, streamline this process, human involvement remains essential. Wang emphasized that even with the rapid advancements in AI, healthcare data curation requires expert oversight to ensure quality and reliability. “The adage ‘junk in, junk out’ applies here—without high-quality training data, AI cannot generate meaningful insights,” he noted. PHI and COTA: A Collaborative Approach to AI-Driven Curation To overcome these challenges, Precision Health Informatics (PHI), a subsidiary of Texas Oncology, partnered with COTA to enhance their data curation capabilities. The collaboration aims to integrate structured and unstructured data, including clinician notes and patient-reported outcomes, into a unified resource for precision medicine. PHI’s database, which represents 1.6 million patient journeys, provides a rich resource for hypothesis-driven studies and clinical trial enrichment. However, much of this data was siloed or unstructured, requiring advanced tools and expert intervention. Lori Brisbin, Chief Operating Officer at PHI, highlighted the importance of partnering with a data analytics leader. “COTA’s strong clinical knowledge in oncology allowed them to identify data gaps and recommend improvements,” she said. This partnership is yielding significant results, including a high data attrition rate of 87%—far surpassing the industry average of 50% for similar projects. The Role of AI in Cancer Care AI tools like CAILIN are helping PHI and COTA refine data curation processes by: Brisbin likened the role of AI to sorting images: “If you’re looking for German shepherds, AI will narrow the search but might include similar images, like wolves or huskies. Experts are still needed to validate and refine the results.” Building the Foundation for Better Outcomes The integration of high-quality RWD into analytics efforts is reshaping precision medicine. While clinical trial data offers valuable insights, it often lacks the variability seen in real-world scenarios. Adding RWD to these datasets helps expand the scope of research and ensure broader applicability. For instance, cancer care guidelines developed with RWD can account for diverse patient populations and treatment approaches. COTA’s work with PHI underscores the value of collaborative data curation, with AI streamlining processes and human experts ensuring accuracy. The Future of AI in Precision Medicine As healthcare organizations invest in data-driven innovation, AI will play an increasingly pivotal role in enabling precision medicine. However, challenges remain. Wang noted that gaps in EHR data, such as missing survival metrics, can undermine oncological outcomes research. Advances in interoperability and external data sources will be key to addressing these issues. “The foundation of our partnership is built on leveraging data insights to enhance care quality and improve operational efficiency,” Wang said. Through AI-powered tools and meaningful partnerships, precision medicine is poised to deliver transformative results, empowering providers to offer tailored treatments that improve patient outcomes at scale. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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AI-Driven Care Coordination Software

AI-Driven Care Coordination Software

Can AI-Driven Care Coordination Software Improve Workflows? University Hospitals is leveraging AI to enhance care coordination across its network of 13 hospitals and numerous outpatient settings. This effort highlights the transformative potential of AI-driven platforms in streamlining workflows, improving patient outcomes, and addressing clinician burnout. The Role of AI in Care Coordination Care coordination ensures seamless collaboration between healthcare providers, aiming for safe, appropriate, and effective treatment. Effective information-sharing can: According to the U.S. Centers for Medicare & Medicaid Services (CMS), poor care coordination can lead to: The Agency for Healthcare Research and Quality (AHRQ) advocates for a mix of technology adoption and care-specific strategies, such as proactive care plans tailored to patient needs. While electronic health records (EHRs) aid in these efforts, AI’s ability to analyze vast data sets positions it as the next evolution in care coordination. University Hospitals’ AI Initiative University Hospitals has partnered with Aidoc to deploy its AI-powered platform, aiOS, to improve radiology and care coordination workflows. Chair of Radiology Donna Plecha shared insights on how AI is already assisting in their operations: Best Practices for Implementing AI 1. Identify High-Value Use Cases: 2. Conduct Architectural Reviews: 3. Monitor ROI and Metrics: 4. Gain Clinician Buy-In: Looking Ahead AI is proving to be a valuable tool in care coordination, but its adoption requires realistic expectations and a thoughtful approach. Plecha underscores that AI won’t replace radiologists but will empower those who embrace it. As healthcare faces increasing patient volumes and clinician shortages, leveraging AI to reduce workloads and enhance care quality is becoming a necessity. With ongoing evaluations and phased implementations, University Hospitals is setting a precedent for how AI can drive innovation in care coordination while maintaining clinician oversight and patient trust. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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Enhancing OR Efficiency with Ambient Sensor Technology

Enhancing OR Efficiency with Ambient Sensor Technology

Implementing ambient sensors in ORs can be challenging, as clinicians may feel uneasy about being recorded. Schwartz noted that emphasizing the benefits of the technology—such as improved accuracy and streamlined communication—has been essential in gaining clinician acceptance. DeDominico highlighted that the AI’s ability to send clinicians relevant updates, such as when a patient is ready for surgery, has increased clinician satisfaction by reducing unnecessary waiting.

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Potential of GenAI in Healthcare

Potential of GenAI in Healthcare

Clinicians spend about 28 hours per week on administrative tasks, mainly clinical documentation and communication. Medical and claims staff reported even higher administrative loads, with 34 and 36 hours spent weekly on tasks like documentation, communication, and prior authorization. Many respondents linked these demands directly to burnout, with 77% of claims staff, 81% of medical staff, and 82% of clinicians citing administrative burdens as significant contributors. Additionally, 78% of payer executives and 85% of provider executives noted that administrative work is a key driver of staffing shortages.

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Data Analytics for Disease Management

Data Analytics for Disease Management

Healthcare IT advancements, especially electronic health records (EHRs), have made it easier to gather and store data, which, in turn, fuels population health initiatives and improves patient outcomes. The Agency for Healthcare Research and Quality highlights that using health IT tools can significantly enhance chronic disease management by promoting efficient care delivery, information-sharing, and patient education. However, selecting and adopting the right analytics tools remains challenging. Here are five essential data analytics tools that healthcare providers can leverage for effective chronic disease management.

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Provider Hybrid Care Model

Provider Hybrid Care Model

Primary care in the United States urgently needs a redesign, as rural hospital closures and a shortage of providers are severely limiting access for nearly one-third of the population. While advanced technologies like virtual care have helped expand primary care access, there is still a strong preference for in-person visits. To address this, healthcare providers must create a hybrid care model that integrates both virtual and in-person services to better meet patient needs. Hackensack Meridian Health, a New Jersey-based health system, has embraced an AI-based solution to establish this hybrid care model. Through a partnership with K Health, the system aims to create a seamless patient journey that fluidly transitions between virtual and in-person care as needed. According to Dr. Daniel Varga, chief physician executive at Hackensack Meridian Health, the need for this partnership became apparent during the COVID-19 pandemic, which disrupted in-person care across New Jersey. “Before the pandemic, we did zero virtual visits in our offices,” Varga said. “By early 2020, we were doing thousands per day, and we realized there was real demand for it, but we didn’t have the skill set to execute it properly.” With the support of K Health, Varga believes the health system now has the technology and expertise to integrate AI-driven virtual care into its network of 18 hospitals. However, successful implementation requires overcoming technology integration challenges. The AI-Powered Virtual Care Solution The partnership between Hackensack Meridian Health and K Health has two key components, Varga explained. The first is a 24/7 AI-driven virtual care service, and the second is a professional services agreement between K Health’s doctors and the Hackensack medical group. The AI system used in the virtual care platform is built to learn from clinical data, distinguishing it from traditional symptom-checking tools. According to K Health co-founder Ran Shaul, the AI analyzes data from patients’ EHRs and symptom inputs to provide detailed insights into the patient’s health history, giving primary care providers a comprehensive view of the patient‘s current health concerns. “We know about your chronic conditions, your recent visits, and whether you’ve followed up on key health checks like mammograms,” Shaul explained. “It creates a targeted medical chart rather than a generic symptom analysis.” In addition, K Health’s virtual physicians and Hackensack Meridian’s medical group are integrated, sharing the same tax ID and EHR system, which ensures continuity of care between virtual and in-person visits. Varga highlighted that this integration allows for seamless transitions between care settings, where virtual doctors’ notes are readily available to in-person providers the following day. “If a patient sees a virtual doctor at 2 a.m., I have the 24/7 notes right in front of me the next morning in the office,” Varga said. The service is accessible to all patients, including new patients and those recently discharged from Hackensack Meridian Health’s inpatient services who require follow-up care. Overcoming Challenges in Implementation Deploying an AI-driven virtual care system across 18 hospitals presents significant challenges, but Hackensack Meridian Health has developed several strategies to ensure smooth implementation. First, the health system provided training to all 36,000 team members to familiarize them with the platform. Additionally, a dedicated team was created to enhance collaboration between the traditional medical group and the virtual care team. One major focus was connecting hospitals and 24/7 virtual care services to ensure continuity of care for patients leaving emergency departments or being discharged from inpatient care. “Many patients don’t have a primary care doctor when they leave the hospital,” Varga explained. “With this virtual service, we can immediately book a virtual appointment for them before they leave the ED.” Provider Hybrid Care Models provide better patient care, follow-up, and outcomes. The system also offers language accessibility, with patients able to interact with the platform in Spanish and request Spanish-speaking clinicians. This feature is part of the health system’s broader strategy to break down barriers to care access and improve health equity. Improving Access and Health Equity-Provider Hybrid Care Model Shaul noted that the convenience of scheduling virtual appointments at any time helps patients who would otherwise struggle to see a doctor due to work schedules or long travel distances. The virtual care service also addresses the needs of patients with limited English proficiency, allowing them to access care in their native language. By connecting patients who lack a usual source of care with primary care providers through the virtual platform, Hackensack Meridian Health aims to close care gaps. Access to primary care is critical for improving health outcomes, yet the number of Americans with a regular source of care has dropped by 10% in the past 18 years. This decline disproportionately affects Hispanic individuals, those with lower education levels, and the uninsured. Varga emphasized that the virtual care service aligns with Hackensack’s goal of meeting patients where they are—whether virtually, in their hospitals, or at brick-and-mortar medical offices. “The reason we have such a geographically diverse spread of sites is that we believe in meeting patients where they are,” Varga said. “If that means a virtual visit, we’ll meet them there. If it means the No. 1 ranked hospital in New Jersey, we’ll meet them there. And if it’s a medical office, that’s where we’ll meet them.” Salesforce and Tectonic can help your provider solution offer the same diversity. Contact us today! Heath and Life Sciences are winning a competitive edge with Salesforce for better patient outcomes. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its

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UX Principles for AI in Healthcare

UX Principles for AI in Healthcare

The Role of UX in AI-Driven Healthcare AI is poised to revolutionize the global economy, with predictions it could contribute $15.7 trillion by 2030—more than the combined economic output of China and India. Among the industries likely to see the most transformative impact is healthcare. However, during my time at NHS Digital, I saw how systems that weren’t designed with existing clinical workflows in mind added unnecessary complexity for clinicians, often leading to manual workarounds and errors due to fragmented data entry across systems. The risk is that AI, if not designed with user experience (UX) at the forefront, could exacerbate these issues, creating more disruption rather than solving problems. From diagnostic tools to consumer health apps, the role of UX in AI-driven healthcare is critical to making these innovations effective and user-friendly. This article explores the intersection of UX and AI in healthcare, outlining key UX principles to design better AI-driven experiences and highlighting trends shaping the future of healthcare. The Shift in Human-Computer Interaction with AI AI fundamentally changes how humans interact with computers. Traditionally, users took command by entering inputs—clicking, typing, and adjusting settings until the desired outcome was achieved. The computer followed instructions, while the user remained in control of each step. With AI, this dynamic shifts dramatically. Now, users specify their goal, and the AI determines how to achieve it. For example, rather than manually creating an illustration, users might instruct AI to “design a graphic for AI-driven healthcare with simple shapes and bold colors.” While this saves time, it introduces challenges around ensuring the results meet user expectations, especially when the process behind AI decisions is opaque. The Importance of UX in AI for Healthcare A significant challenge in healthcare AI is the “black box” nature of the systems. For example, consider a radiologist reviewing a lung X-ray that an AI flagged as normal, despite the presence of concerning lesions. Research has shown that commercial AI systems can perform worse than radiologists when multiple health issues are present. When AI decisions are unclear, clinicians may question the system’s reliability, especially if they cannot understand the rationale behind an AI’s recommendation. This opacity hinders feedback, making it difficult to improve the system’s performance. Addressing this issue is essential for UX designers. Bias in AI is another significant issue. Many healthcare AI tools have been documented as biased, such as systems trained on predominantly male cardiovascular data, which can fail to detect heart disease in women. AIs also struggle to identify conditions like melanoma in people with darker skin tones due to insufficient diversity in training datasets. UX can help mitigate these biases by designing interfaces that clearly explain the data used in decisions, highlight missing information, and provide confidence levels for predictions. The movement toward eXplainable AI (XAI) seeks to make AI systems more transparent and interpretable for human users. UX Principles for AI in Healthcare To ensure AI is beneficial in real-world healthcare settings, UX designers must prioritize certain principles. Below are key UX design principles for AI-enabled healthcare applications: Applications of AI in Healthcare AI is already making a significant impact in various healthcare applications, including: Real-world deployments of AI in healthcare have demonstrated that while AI can be useful, its effectiveness depends heavily on usability and UX design. By adhering to the principles of transparency, interpretability, controllability, and human-centered AI, designers can help create AI-enabled healthcare applications that are both powerful and user-friendly. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more Health Cloud Brings Healthcare Transformation Following swiftly after last week’s successful launch of Financial Services Cloud, Salesforce has announced the second installment in its series Read more

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Ambient AI Enhances Patient-Provider Relationship

Ambient AI Enhances Patient-Provider Relationship

How Ambient AI is Enhancing the Patient-Provider Relationship Ambient AI is transforming the patient-provider experience at Ochsner Health by enabling clinicians to focus more on their patients and less on their screens. While some view technology as a barrier to human interaction, Ochsner’s innovation officer, Dr. Jason Hill, believes ambient AI is doing the opposite by fostering stronger connections between patients and providers. Researchers estimate that physicians spend over 40% of consultation time focused on electronic health records (EHRs), limiting face-to-face interactions. “We have highly skilled professionals spending time inputting data instead of caring for patients, and as a result, patients feel disconnected due to the screen barrier,” Hill said. Additionally, increased documentation demands related to quality reporting, patient satisfaction, and reimbursement are straining providers. Ambient AI scribes help relieve this burden by automating clinical documentation, allowing providers to focus on their patients. Using machine learning, these AI tools generate clinical notes in seconds from recorded conversations. Clinicians then review and edit the drafts before finalizing the record. Ochsner began exploring ambient AI several years ago, but only with the advent of advanced language models like OpenAI’s GPT did the technology become scalable and cost-effective for large health systems. “Once the technology became affordable for large-scale deployment, we were immediately interested,” Hill explained. Selecting the Right Vendor Ochsner piloted two ambient AI tools before choosing DeepScribe for an enterprise-wide partnership. After the initial rollout to 60 physicians, the tool achieved a 75% adoption rate and improved patient satisfaction scores by 6%. What set DeepScribe apart were its customization features. “We can create templates for different specialties, but individual doctors retain control over their note outputs based on specific clinical encounters,” Hill said. This flexibility was crucial in gaining physician buy-in. Ochsner also valued DeepScribe’s strong vendor support, which included tailored training modules and direct assistance to clinicians. One example of this support was the development of a software module that allowed Ochsner’s providers to see EHR reminders within the ambient AI app. “DeepScribe built a bridge to bring EHR data into the app, so clinicians could access important information right before the visit,” Hill noted. Ensuring Documentation Quality Ochsner has implemented several safeguards to maintain the accuracy of AI-generated clinical documentation. Providers undergo training before using the ambient AI system, with a focus on reviewing and finalizing all AI-generated notes. Notes created by the AI remain in a “pended” state until the provider signs off. Ochsner also tracks how much text is generated by the AI versus added by the provider, using this as a marker for the level of editing required. Following the successful pilot, Ochsner plans to expand ambient AI to 600 clinicians by the end of the year, with the eventual goal of providing access to all 4,700 physicians. While Hill anticipates widespread adoption, he acknowledges that the technology may not be suitable for all providers. “Some clinicians have different documentation needs, but for the vast majority, this will likely become the standard way we document at Ochsner within a year,” he said. Conclusion By integrating ambient AI, Ochsner Health is not only improving operational efficiency but also strengthening the human connection between patients and providers. As the technology becomes more widespread, it holds the potential to reshape how clinical documentation is handled, freeing up time for more meaningful patient interactions. Like Related Posts Salesforce OEM AppExchange Expanding its reach beyond CRM, Salesforce.com has launched a new service called AppExchange OEM Edition, aimed at non-CRM service providers. Read more The Salesforce Story In Marc Benioff’s own words How did salesforce.com grow from a start up in a rented apartment into the world’s Read more Salesforce Jigsaw Salesforce.com, a prominent figure in cloud computing, has finalized a deal to acquire Jigsaw, a wiki-style business contact database, for Read more Service Cloud with AI-Driven Intelligence Salesforce Enhances Service Cloud with AI-Driven Intelligence Engine Data science and analytics are rapidly becoming standard features in enterprise applications, Read more

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