Life Sciences Cloud - gettectonic.com
Transforming Healthcare with Salesforce CRM For healthcare providers, adopting a CRM platform like Salesforce Health Cloud is invaluable for managing vast amounts of patient data effectively. Health Cloud empowers healthcare professionals to create personalized, one-to-one patient journeys, enabling a deep understanding of each patient’s needs, medical history, and preferences. This approach not only fosters a patient-friendly experience but also builds a strong rapport, ensuring that patients feel valued and understood. Health Cloud also facilitates seamless collaboration among healthcare providers across different departments. When patients require support from multiple professionals, the platform ensures coordinated, comprehensive care that considers their complete medical history. This collaborative approach strengthens patient trust and streamlines operations, demonstrating a provider’s commitment to patient-centered care. As healthcare organizations strive to meet rising patient expectations, Salesforce is at the forefront of driving transformative changes. Leveraging Salesforce cloud solutions allows providers to manage patient data efficiently, deliver higher-quality care, and turn industry challenges into opportunities for improvement. Salesforce CRM has significantly boosted patient engagement and satisfaction within the healthcare sector. By automating repetitive, manual tasks, Salesforce CRM enables healthcare professionals to devote more time to patient care. Tools like Patient Management Software
03Dec

2025 Life Sciences Industry Outlook: What’s Next?

The life sciences industry is poised for significant evolution in 2025 as it navigates a dynamic landscape shaped by digital transformation, competitive pressures, business volatility, and shifting customer needs. Despite potential challenges, industry leaders remain optimistic about growth in the coming year. Deloitte’s recently released 2025 Life Sciences Outlook, published on December 10, 2024, offers a comprehensive overview of the trends and forces expected to shape the industry in the upcoming year. Drawing from a global survey of life sciences executives conducted by the Deloitte U.S. Center for Health Solutions, the report highlights key focus areas that will drive transformation and innovation. Key Trends Shaping the Life Sciences Industry in 2025 1. Digital Transformation Digital transformation continues to be a cornerstone of growth and innovation for the life sciences sector. Executives anticipate accelerated adoption of digital tools, with particular emphasis on: To stay ahead, life sciences companies are investing in transformative technologies, robust cybersecurity, and digital tools that enhance R&D, employee productivity, and customer engagement. 2. Competitive Pressures The competitive landscape in 2025 will be shaped by several key challenges: To address these pressures, companies are focusing on innovation, expanding their portfolios, and targeting profitable disease areas. Strategies include improving R&D productivity, enhancing clinical trial diversity, leveraging real-world evidence, and aligning M&A activities with corporate objectives. 3. Business Volatility Economic and regulatory uncertainties are adding layers of complexity to the business environment. Key drivers of business volatility include: To mitigate these risks, life sciences companies are optimizing operating models, enhancing supply chain resilience, and implementing global risk mitigation strategies to safeguard operations against unforeseen disruptions. 4. Evolving Customer Needs The rise of personalized medicine and digital adoption among patients is transforming customer expectations. Advances in genomics, biomarkers, and precision medicine are enabling companies to deliver more effective treatments with fewer side effects. In response to these shifts, life sciences firms are prioritizing customer-centric strategies by: As one senior executive from a German pharmaceutical company explained, “With advances in genomics and biomarkers, we can provide patients with more precise treatment options. This not only improves efficacy but also significantly reduces side effects, allowing patients to have a better treatment experience.” Outlook for 2025 Despite challenges, the outlook for the life sciences industry in 2025 remains positive. With 75% of surveyed executives expressing optimism, the sector is positioned for growth driven by innovation, strategic investment, and a commitment to addressing evolving market demands. As the industry continues to adapt to internal and external pressures, its ability to leverage digital transformation, overcome competitive challenges, and meet shifting customer needs will define its success in the year ahead. The 2025 Life Sciences Outlook underscores the importance of proactive strategies, forward-thinking investments, and adaptability in navigating this transformative era. By embracing these trends, life sciences companies can position themselves for sustainable growth and innovation in the years to come. 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 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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December 3, 2024in Generative AI, Life Sciences Cloud, Salesforce Development Services, Salesforce Health and Life Sciences Solutions0 Comments
Value-Based Care Technologies
22Nov

Value-Based Care Technologies

Essential Technologies for Value-Based Care Success As healthcare providers increasingly adopt value-based care, they must invest in the right technologies and resources to succeed in this model, which incentivizes high-quality, cost-effective care. Value-Based Care Technologies tie reimbursement to care quality, making providers accountable for patient outcomes while providing resources to enhance care. As of 2021, nearly 60% of healthcare payments were already tied to value-based models, according to the Health Care Payment Learning and Action Network (HCP LAN). While partnerships can initiate value-based care, providers must invest in the right technology to fully achieve the intended outcomes. Health Information Exchange (HIE) A robust health information exchange (HIE) is fundamental to value-based care, as it enables providers and payers to access high-quality data seamlessly. HIE allows healthcare professionals to share patients’ medical information electronically across organizations, promoting care coordination by giving providers a comprehensive view of patient needs. For patients, HIE enables more informed involvement in their care by making their health data accessible across specialists, labs, and pharmacies. While joining an HIE may involve new technology investments and workflow adjustments, it ultimately enhances provider access to critical health data. Population Health Management Tools Population health management tools help providers assess health outcomes within groups rather than focusing on individuals alone. These tools aggregate and analyze data, allowing practices to identify high-risk patients and create targeted interventions. This not only enhances health outcomes but can also reduce costs by avoiding expensive treatments. Patient engagement tools, such as telehealth and remote patient monitoring, are essential in population health management, especially for monitoring high-risk patients when in-person care is not feasible. Digital surveys integrated within patient portals can provide insights into social determinants of health, adding a broader context to patient needs. Data Analytics Data analytics transform healthcare data into actionable insights across four types: descriptive, diagnostic, predictive, and prescriptive. Providers can use these analytics to reduce hospital readmissions, predict diseases, and identify chronic illnesses. Data integration and risk stratification capabilities are especially valuable in value-based care, enabling providers to track patient health outcomes effectively and prioritize high-risk cases. Artificial Intelligence & Machine Learning AI and machine learning support many data analytics functions, helping identify patient needs and easing administrative burdens. Given staffing shortages and burnout—reported by 63% of physicians in 2021, according to the American Medical Association (AMA)—AI can automate tasks like documentation, charting, and scheduling, allowing providers to focus more on patient care. Additionally, AI-driven automation in revenue cycle management tasks, such as billing and coding, can reduce the administrative workload associated with value-based care. Price Transparency Technology Price transparency empowers patients to seek cost-effective care, a core principle of value-based models. When providers comply with transparency regulations, patients can better understand their costs and make informed decisions. For providers, leveraging price transparency tools ensures compliance and facilitates partnerships with payers by enabling more effective negotiation, which supports the overall goals of value-based care. As healthcare continues shifting to value-based models, investing in these technologies is critical for providers aiming for long-term success. While these tools rdo equire substantial investment, they are essential for improving patient outcomes, optimizing care quality, and ensuring sustainability in value-based care. When evaluating and choosing healthcare technology tools, contact Tectonic for help. Like1 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 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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November 22, 2024in AI Tools, Artificial Intelligence, Data, Life Sciences Cloud, Salesforce, Salesforce Development Services, Salesforce Foundations, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Implementation Services, Salesforce Optimization, Technology0 Comments
healthcare Can prioritize ai governance
11Nov

Healthcare Can Prioritize AI Governance

As artificial intelligence gains momentum in healthcare, it’s critical for health systems and related stakeholders to develop robust AI governance programs. AI’s potential to address challenges in administration, operations, and clinical care is drawing interest across the sector. As this technology evolves, the range of applications in healthcare will only broaden.

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November 11, 2024in AI Tools, Artificial Intelligence, Data, Generative AI, Laws, Life Sciences Cloud, Salesforce, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Technology0 Comments
Salesforce Success Story
14Oct

Case Study: Children’s Hospital Use Cases

In need of help to implement requisite configuration updates to establish a usable data model for data segmentation that supports best practices utilization of Marketing Cloud features including Contact Builder, Email Studio and Journey Builder.

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October 14, 2024in Data, Google, Life Sciences Cloud, Salesforce, Salesforce Development Services, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Implementation Services, Salesforce Marketing Cloud, Salesforce Shield, Salesforce Success Stories
Promising Patient Engagement Use Cases for GenAI and Chatbots
06Oct

Promising Patient Engagement Use Cases for GenAI and Chatbots

Promising Patient Engagement Use Cases for GenAI and Chatbots Generative AI (GenAI) is showing great potential in enhancing patient engagement by easing the burden on healthcare staff and clinicians while streamlining the overall patient experience. As healthcare undergoes its digital transformation, various patient engagement applications for GenAI and chatbots are emerging as promising tools. Let’s look at Promising Patient Engagement Use Cases for GenAI and Chatbots. Key applications of GenAI and patient-facing chatbots include online symptom checkers, appointment scheduling, patient navigation, medical search engines, and even patient portal messaging. These technologies aim to alleviate staff workloads while improving the patient journey, according to some experts. However, patient-facing AI applications are not without challenges, such as the risk of generating medical misinformation or exacerbating healthcare disparities through biased algorithms. As healthcare professionals explore the potential of GenAI and chatbots for patient engagement, they must also ensure safeguards are in place to prevent the spread of inaccuracies and avoid creating health inequities. Online Symptom Checkers Online symptom checkers allow healthcare organizations to assess patients’ medical concerns without requiring an in-person visit. Patients can input their symptoms, and the AI-powered chatbot will generate a list of possible diagnoses, helping them decide whether to seek urgent care, visit the emergency department, or manage symptoms at home. These tools promise to improve both patient experience and operational efficiency by directing patients to the right care setting, thus reducing unnecessary visits. For healthcare providers, symptom checkers can help triage patients and ensure high-acuity areas are available for those needing critical care. Despite their potential, studies show mixed results regarding the diagnostic accuracy of online symptom checkers. A 2022 literature review found that diagnostic accuracy for these tools ranged from 19% to 37.9%. However, triage accuracy—referring patients to the correct care setting—was better, ranging between 48.9% and 90%. Patient reception to symptom checkers has also been varied. For example, during the COVID-19 pandemic, symptom checkers were designed to help patients assess whether their symptoms were virus-related. While patients appreciated the tools, they preferred chatbots that displayed human-like qualities and competence. Tools perceived as similar in quality to human interactions were favored. Furthermore, some studies indicate that online symptom checkers could deepen health inequities, as users tend to be younger, female, and more digitally literate. To mitigate this, AI developers must create chatbots that can communicate in multiple languages, mimic human interaction, and easily escalate issues to human professionals when needed. Self-Scheduling and Patient Navigation GenAI and conversational AI are proving valuable in addressing routine patient queries, like appointment scheduling and patient navigation, tasks that typically fall on healthcare staff. With a strained medical workforce, using AI for lower-level inquiries allows clinicians to focus on more complex tasks. AI-enhanced appointment scheduling systems, for example, not only help patients book visits but also answer logistical questions like parking directions or department locations within a clinic. A December 2023 literature review highlighted that AI-optimized scheduling could reduce provider workload, increase patient satisfaction, and make healthcare more patient-centered. However, key considerations for AI integration include ensuring health equity, broadband access, and patient trust. While AI can manage routine requests, healthcare organizations need to ensure their tools are accessible and functional for diverse populations. Online Medical Research GenAI tools like ChatGPT are contributing to the “Dr. Google” phenomenon, where patients search online for medical information before seeing a healthcare provider. While some clinicians have been cautious about these tools, research suggests they can effectively provide accurate medical information. For instance, an April 2023 study showed that ChatGPT answered 88% of breast cancer screening questions correctly. Another study in May 2023 demonstrated that the tool could adequately educate patients on colonoscopy preparation. In both cases, the information was presented in an easy-to-understand format, essential for improving health literacy. However, GenAI is not without flaws. Patients express concern about the reliability of AI-generated information, with a 2023 Wolters Kluwer survey showing that 49% of respondents worry about false information from GenAI. Additionally, many are uneasy about the unknown sources and validation processes behind the information. To build patient trust, AI developers must ensure the accuracy of their source material and provide supplementary authoritative resources like patient education materials. Patient Portal Messaging and Provider Communication Generative AI has also found use in patient portal messaging, where it can draft responses on behalf of healthcare providers. This feature has the potential to reduce clinician burnout by handling routine inquiries. A study conducted at Mass General Brigham in April 2024 revealed that a large language model embedded in a secure messaging tool could generate acceptable responses to patient questions. In 58% of cases, chatbot-generated messages required human editing. Promising Patient Engagement Use Cases for GenAI and Chatbots Interestingly, other research has found that AI-generated responses in patient portals are often more empathetic than those written by overworked healthcare providers. Nevertheless, AI responses should always be reviewed by a clinician to ensure accuracy before being sent to patients. Generative AI is also making strides in clinical decision support and ambient documentation, further boosting healthcare efficiency. However, as healthcare organizations adopt these technologies, they must address concerns around algorithmic bias and ensure patient safety remains a top priority. 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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October 6, 2024in Agentforce Platform, AI Tools, Generative AI, Google, Laws, Life Sciences Cloud, Salesforce Development Services, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud

Challenges of EHR Implementation in Healthcare

Challenges of EHR Implementation and How to Overcome Them Implementing an electronic health record (EHR) system is a monumental task, with complexities that require careful planning and execution. Common challenges—such as resistance to change, data migration hurdles, cost overruns, cybersecurity risks, and patient engagement issues—can impede progress. However, understanding these obstacles and applying targeted strategies can pave the way for a smooth transition. 1. Resistance to Change The adoption of a new EHR system affects nearly every workflow in a healthcare organization, often sparking resistance among staff. Fear of change and attachment to familiar processes can hinder implementation. Solution: 2. Data Migration Issues Accurate migration of patient health records is critical, yet transitioning data between systems often presents technical and logistical challenges. Solution: 3. Cost Overruns EHR implementation costs can quickly escalate, extending beyond software and hardware expenses to include consulting fees, training, and operational adjustments. Solution: 4. Heightened Cybersecurity Risks Transitioning sensitive patient data between EHR systems increases vulnerability to breaches, ransomware, and other cybersecurity threats. Solution: 5. Patient Engagement Challenges Patients are often overlooked during EHR transitions, leading to confusion about changes in medication requests, appointment scheduling, and other interactions. Solution: Conclusion EHR implementation is undoubtedly challenging, but with proactive strategies, healthcare organizations can navigate these complexities effectively. By addressing resistance to change, ensuring seamless data migration, managing costs, bolstering cybersecurity, and engaging patients, organizations can achieve a successful EHR transition that enhances workflows, safeguards data, and improves 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 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 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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October 3, 2024in Data, Life Sciences Cloud, Salesforce, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud
Salesforce Healthcare and AI
11Sep

Salesforce Healthcare and AI

The Healthcare Industry’s Digital Transformation: An Opportunity Unveiled – Salesforce Healthcare and AI Historically, the healthcare sector has lagged behind in technology adoption, particularly software. It consistently invests less in IT and software compared to other industries, relying heavily on manual processes and outdated tools like faxes and phone calls. Unlike other sectors where platforms like Salesforce, Slack, JIRA, and Notion dominate, healthcare has yet to see similar technological integration. Salesforce Healthcare and AI Future While this low adoption of software has previously been seen as a drawback, it now presents a significant opportunity. Unlike industries burdened by extensive investments in legacy systems, healthcare is not encumbered by sunk costs. This freedom allows it to embrace cutting-edge AI innovations without the hesitation of overhauling existing, expensive software infrastructures. Addressing the Staffing Crisis The healthcare industry is grappling with a severe staffing crisis, with a shortfall of over 100,000 doctors and nurses projected over the next five years. The increasing complexity of medical care, driven by advancements in diagnostics, continuous monitoring, and new treatments, contributes to an overwhelming amount of information for clinicians. To manage this, healthcare requires new tools capable of processing complex data in real-time to support critical decisions for an aging population with more complex health needs. The most valuable asset in healthcare is clinical judgment, which is currently exclusive to human practitioners. A major challenge is to extend this clinical judgment beyond the existing workforce and physical locations, making it accessible to all who need it. Additionally, ensuring that every clinician performs at the highest level is crucial. The Role of Administrative and Clinical AI Administrative AI is essential for reducing the overhead of healthcare delivery, allowing for better resource management and efficiency. Clinical AI products, though challenging to develop due to their high-stakes nature, are uniquely positioned to address these needs. They must integrate seamlessly into existing environments, adding a layer of sophistication to healthcare processes. Regulatory Advantages for Clinical AI One of healthcare’s advantages in adopting AI is its well-established regulatory framework. The FDA has approved numerous clinical AI products and is developing processes to keep pace with advancements in machine learning and generative AI. This rigorous approval process ensures that only the most reliable and clinically sound products make it to market, creating a higher barrier to entry but also a stronger competitive advantage for those that succeed. The Scale of Opportunity The healthcare industry is a massive $4 trillion+ market, predominantly driven by human labor rather than technology. Historically, enterprise software companies have struggled to penetrate this sector, as IT budgets represent just 3.5% of revenue—less than half of that in financial services. However, with AI tools advancing rapidly, they are increasingly seen as “AI staff” rather than mere software. This shift opens up opportunities not just in software but in transforming service delivery, potentially disrupting a market valued in trillions rather than billions. The scale of this opportunity far exceeds past software ventures, as reflected in the significant capital and valuations flowing into AI-driven healthcare companies. Whether you’re launching a new clinic, developing infrastructure for the healthcare system, or creating innovative payment or insurance models, now is an unprecedented time to enter the healthcare space. The transformative power of AI is poised to redefine how healthcare companies are built, scaled, and brought to market. 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 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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September 11, 2024in Generative AI, Life Sciences Cloud, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud, Salesforce Managed Services, Salesforce Optimization
Salesforce Industries AI
10Sep

Salesforce Industries AI

Salesforce has introduced Industries AI, a suite of foundational, pre-built, and customizable AI capabilities designed to address specific industry needs and challenges. This innovation aims to help customers quickly realize value by automating tasks such as matching patients to clinical trials, providing proactive maintenance alerts for vehicles and machinery, streamlining inventory management, and enhancing services for citizens and program beneficiaries. Industries AI is integrated into all 15 of Salesforce’s industry clouds, offering ready-to-use solutions for a range of sector-specific tasks. To assist customers in getting started, Salesforce has launched the AI Use Case Library, which features over 100 Industries AI capabilities. This library includes dedicated resources and use case guides for each industry cloud. The library will be regularly updated with new capabilities, such as Complaint Summaries, Patient Services & Benefits Verification, and Vehicle Telemetry Summary. Industries AI also lays the groundwork for industry-specific Agentforce agents, which will transform workflows across various roles and scales. These agents, available soon in every industry cloud, can be set up in minutes to autonomously handle business tasks, drawing on CRM data, external data, and metadata. They adhere to privacy and security guidelines and can seamlessly transfer complex cases to human agents with relevant context. As organizations increasingly recognize the urgency of adopting AI—up 700% in the last six months—Industries AI addresses the challenge of building and training AI models, which can be costly and time-consuming. By offering AI capabilities tailored to specific industry needs, Salesforce provides a cost-effective solution that delivers immediate value. Industries AI combines the robustness of an enterprise-grade platform with Salesforce’s deep industry expertise. Built on the Salesforce platform, supported by Data Cloud and the Einstein Trust Layer, it ensures safety and security. Customers can leverage pre-built prompts and industry-specific data models to achieve relevant and contextual insights. Here are some of the new capabilities announced: Jeff Amann, EVP & GM of Salesforce Industries, emphasized the mission to provide practical AI solutions across all industries, enabling organizations to harness AI’s potential efficiently. Most of these features will be generally available between October 2024 and February 2025, with ongoing updates through Salesforce’s three annual releases. Generally Available Today: Available in October 2024: Available in Beta in October 2024: Generally Available in February 2025: 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 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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September 10, 2024in Generative AI, Life Sciences Cloud, Public Sector Solutions
Impact of EHR Adoption
07Aug

Connected Care Technology

How Connected Care Technology Can Transform the Provider Experience Northwell Health is leveraging advanced connected care technologies, including AI, to alleviate administrative burdens and foster meaningful interactions between providers and patients. While healthcare technology has revolutionized traditional care delivery models, it has also inadvertently created barriers, increasing the administrative workload and distancing providers from their patients. Dr. Michael Oppenheim, Senior Vice President of Clinical Digital Solutions at Northwell Health, highlighted this challenge during the Connected Health 2024 virtual summit, using a poignant illustration published a decade ago in the Journal of the American Medical Association. The image portrays a physician focused on a computer with their back to a patient and family, emphasizing how technology can inadvertently shift attention away from patient care. Reimagining Technology to Enhance Provider-Patient Connections To prevent technology from undermining the patient-provider relationship, healthcare organizations must reduce the administrative burden and enhance connectivity between patients and care teams. Northwell Health exemplifies this approach by implementing innovative solutions aimed at improving access, efficiency, and communication. 1. Expanding Access Without Overloading Providers Connected healthcare technologies can dramatically improve patient access but may strain clinicians managing large patient panels. Dr. Oppenheim illustrated how physicians often need to review extensive patient histories for every interaction, consuming valuable time. Northwell Health addresses this challenge by employing mapping tools, propensity analyses, and matching algorithms to align patients with the most appropriate providers. By connecting patients to specialists who best meet their needs, providers can maximize their time and expertise while ensuring better patient outcomes. 2. Leveraging Generative AI for Chart Summarization Generative AI is proving transformative in managing the immense data volumes clinicians face. AI-driven tools help summarize patient records, extracting clinically relevant details tailored to the provider’s specialty. For instance, in a pilot at Northwell Health, AI successfully summarized complex hospitalizations, capturing the critical elements of care transitions. This “just right” approach ensures providers receive actionable insights without unnecessary data overload. Additionally, ambient listening tools are being used to document clinical consultations seamlessly. By automatically summarizing interactions into structured notes, physicians can focus entirely on their patients during visits, improving care quality while reducing after-hours charting. 3. Streamlining Team-Based Care Effective care delivery often involves a multidisciplinary team, including primary physicians, specialists, nurses, and social workers. Coordinating communication across these groups has historically been challenging. Northwell Health is addressing this issue by adopting EMR systems with integrated team chat functionalities, enabling real-time collaboration among care teams. These tools facilitate better care planning and communication, ensuring patients receive coordinated and consistent treatment. Dr. Oppenheim emphasized the importance of not only uniting clinicians in decision-making but also involving patients in discussions. By presenting clear, viable options, providers can enhance patient engagement and shared decision-making. The Path Forward: Balancing Technology with Provider Needs As healthcare continues its digital transformation, connected care technologies must prioritize clinician satisfaction alongside patient outcomes. Tools that simplify workflows, enhance communication, and reduce administrative burdens are crucial for fostering provider buy-in and ensuring the success of health IT initiatives. Northwell Health’s efforts demonstrate how thoughtfully implemented technologies can empower clinicians, strengthen patient relationships, and create a truly connected healthcare experience. Tectonic is here to help your facility plan. Content updated November 2024. 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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August 7, 2024in Data, Generative AI, Life Sciences Cloud, Salesforce Health and Life Sciences Solutions, Technology
Enhance Payer Patient Education
30Jul

Enhance Payer Patient Education

Data and Technology Strategies Enhance Payer Patient Education Analytics platforms, omnichannel engagement tools, telehealth, and other technological advancements have become essential in driving successful, enhanced payer patient education. Cathy Moffitt, MD, a pediatrician with 15 years of experience in the pediatric emergency department and now the senior vice president and Aetna chief medical officer at CVS Health, understands the critical role of patient education. “Education is empowerment. It is engagement. It is very critical to making patients more equipped to handle their healthcare journey,” Moffitt said in an episode of Healthcare Strategies. “Even overseeing a large payer like Aetna, I still believe tremendously in health education.” Enhance Payer Patient Education For large payers, effective patient education begins with data analytics and a deep understanding of their member population. Through data, payers can identify key insights, including when members are most receptive to educational materials. “People are more open to hear you and to be educated and empowered when they need help right then,” Moffitt explained. Timing is crucial—offering educational resources when they’re most relevant to a member’s immediate needs increases the likelihood that the information will be absorbed and acted upon. Aetna’s Next Best Action initiative, launched in 2018, exemplifies this approach. Through this program, Aetna employees reach out to members with specific conditions, offering guidance on the next best steps for managing their health. By providing education at a time when members are most open to it, the initiative ensures that patient education is both timely and impactful. In addition to timing, payer data can shape patient education by providing insights into a member’s demographics, including race, sexual orientation, gender identity, ethnicity, and location. Tailoring educational efforts to these factors ensures that communication is accessible and resonates with members. To better connect with a diverse member base, Aetna has integrated translator services into its customer support and trained representatives on sensitivity to sexual orientation and gender identity. Additionally, updating the provider directory to reflect demographic data is crucial. When members see providers who share their language, culture, and experiences, they are more likely to engage with and retain the educational materials provided. “Understanding, in a multicultural and multifactorial way, who our members are and trying to help understand what they need…as well as understanding both acute and chronic illness from an actionability standpoint, where we can best engage to good effect as we reach out to people—that’s the cornerstone of our intent and our philosophy around how we scrub data,” Moffitt shared. With over 20 years in the healthcare industry, both as a provider and now in a payer role, Moffitt has observed key trends and identified strengths and weaknesses in patient education efforts. She noted that the most successful patient education initiatives have been in mental health and preventive care, with technology playing a crucial role in both areas. Patient education has significantly reduced the stigma around mental healthcare and highlighted the importance of mental wellness. Telemedicine has vastly improved access to care, particularly in mental health, Moffitt noted. In preventive care, more people are now aware of the benefits of cancer screenings, vaccines, wellness visits, and other preventive measures. Moffitt suggested that the increased use of home health visits and retail clinics has contributed to these improvements, particularly among Aetna’s members. Looking ahead, Moffitt predicted that customized engagement is the next frontier for patient education. Members increasingly want educational materials delivered in a personalized and streamlined manner that suits their preferences. Omnichannel engagement solutions will be vital in meeting this demand. While significant progress has been made in enabling members to receive educational materials through various channels such as email, text, and phone calls, Moffitt anticipates even more advancements in the future. “I can’t tell you exactly where we’re going to be in 10 years because I wouldn’t have been able to tell you 10 years ago where we are now, but we will continue to respond and meet the demands with the technological commitments that we’re making,” Moffitt said. 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 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 Top Ten Reasons Why Tectonic Loves the Cloud The Cloud is Good for Everyone – Why Tectonic loves the cloud You don’t need to worry about tracking licenses. Read more

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July 30, 2024in Life Sciences Cloud, Public Sector Solutions, Salesforce Health and Life Sciences Solutions, Salesforce Implementation Services
Life Sciences Cloud Organizing Clinical Trials and Outreach
18Jun

Life Sciences Cloud Organizing Clinical Trials and Outreach

Salesforce CRM announced today its expansion into the life sciences sector with the launch of a new cloud platform designed to enhance engagement between medical technology providers, pharmaceutical companies, patients, and healthcare professionals. The Salesforce Life Sciences Cloud platform, now available, integrates advanced artificial intelligence capabilities from the Einstein 1 Platform. These AI capabilities aim to streamline clinical operations and processes by harnessing insights from all aspects of organizational data. Life Sciences Cloud Organizing Clinical Trials and Outreach. One of the primary benefits of the Life Sciences Cloud platform is its ability to optimize clinical trials, particularly in streamlining the recruitment and enrollment of participants. By leveraging AI, the platform can identify and match qualified candidates for clinical trials based on specific prescreening and eligibility criteria, significantly reducing the time traditionally spent on these processes. The platform facilitates the creation of personalized online portals for each clinical trial, making it easier for eligible patients to discover and enroll in trials relevant to them. It also simplifies the enrollment process through customizable e-consent forms. Using Einstein Copilot, an AI assistant, organizations can automate the identification of potential trial participants based on criteria such as proximity to trial sites, drawing data from sources like spreadsheets and electronic health records. This capability enhances efficiency by proactively reaching out to suitable candidates. Life Sciences Cloud Organizing Clinical Trials and Outreach Salesforce emphasizes the platform’s potential to alleviate common challenges in clinical trials, where recruitment delays and participant retention issues often hinder progress. By addressing these inefficiencies, Life Sciences Cloud aims to improve the operational timelines and success rates of clinical trials. Beyond clinical trials, the platform features a pilot patient benefits verification tool that helps organizations swiftly assess pharmaceutical costs and eligibility for financial assistance. Integrated with Einstein Copilot, this tool supports bulk re-verifications, ensuring continuous access to treatments for patients requiring periodic authorizations. Additionally, the platform includes a pilot patient program outcome management module, which automates the evaluation of educational and support programs’ impact on patients. This module aids in enhancing patient engagement and adherence to treatment plans by sending automated reminders and analyzing the effectiveness of engagement strategies. Salesforce’s Life Sciences Cloud also offers robust data analytics capabilities, leveraging Salesforce Data Cloud and MuleSoft for Life Sciences to unify structured and unstructured data sources. This unified data model provides comprehensive profiles for each patient and healthcare provider, enabling personalized interactions and informed decision-making. Frank Defesche, Senior Vice President and General Manager of Life Sciences at Salesforce, highlighted the platform’s role in enabling life sciences organizations to navigate challenges such as rising drug costs and regulatory complexities. He emphasized AI’s transformative potential in optimizing operational processes and prioritizing patient-centric approaches across the industry. Overall, Salesforce’s Life Sciences Cloud represents a significant advancement in leveraging AI-driven technologies to enhance efficiency, engagement, and outcomes within the life sciences sector. 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 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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June 18, 2024in Einstein 1 Platform, Life Sciences Cloud, Mulesoft, Salesforce Data Cloud
Salesforce
22Jan

Spring ’24 Salesforce Enhancements to Health Cloud and the Financial Services Industry

Salesforce Enhancements to Health Cloud and the Financial Services Industry bring about big changes for Health Cloud and financial services solutions. Enhancements Home Health Enhancements Health Cloud Deliver connected health in the home with new slot broadcasting, intelligent medication management, and a self-service patient portal. Provider Relationship and Network Management Enhancements Health Cloud Process referrals faster with automated intake, guided flows, and fax-conversion. Simplify provider searches with filters for conditions, services, and geographic location. Advanced Therapy Management Enhancements Health Cloud Use e-signatures to maintain FDA compliance with a digital trail of custody. Interoperability Enhancements Health Cloud Accelerate healthcare interoperability with clicks, not code. Use real-time APIs for EMRs, embedded analytics, and bulk data ingestion to simplify integration. Personalized Financial Engagement Financial Services Unify terabytes of customer data across legacy and third-party systems into a single view. Ignite your personalization strategy at scale by using out-of-the-box calculated insights to create targeted segments and improve employee efficiency. Automation Templates Enhancements Financial Services Deliver self-service embedded into your digital banking solutions, move faster with an expanded library of prebuilt service process templates, and streamline transaction disputes with a dedicated data model and smart intake capabilities. Transaction Dispute Management Enhancements Financial Services Streamline complex dispute processes to drive faster resolution. Generate personalized email communications drafts using prompts based on relevant customer data. Eliminate the inefficiencies of switching between systems and reduce operational costs. Actionable Segmentation Enhancements Financial Services Build more advanced lists with Data Cloud and AI-driven Propensity Scores. Drive business outcomes with new actions like adding list members to a Sales Cadence. Salesforce Enhancements to Health Cloud and the Financial Services Industry Stay tuned to Tectonic’s Insights for more details and news from Salesforce. Salesforce Enhancements to Health Cloud and the Financial Services Industry 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 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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January 22, 2024in Life Sciences Cloud, Salesforce Financial Cloud, Salesforce Financial Services Solutions, Salesforce Health and Life Sciences Solutions, Salesforce Health Cloud
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