Surgical Decision Support Solution (SDss): Enhancing Surgical Outcomes
Solution overview:
Every year, the US witnesses around 50 million surgeries, incurring a staggering $32 billion financial burden due to surgical complications. Complications arise in 15% of all surgical procedures, a number that can skyrocket to 50% in high-risk cases. This alarming trend has spurred a nationwide push to enhance preoperative and perioperative support, particularly for high-risk and high-cost patients.
High-risk patients face elevated rates of surgical postoperative complications, mortality, and readmissions, particularly affecting minority, and lower socioeconomic status individuals. Frailty, closely linked to high-risk and low SES categories, strongly predicts perioperative and postoperative complications, increased mortality rates, longer hospital stays, and higher 30/60/90-day readmission rates. These challenges significantly impact the financial performance and hospital quality ratings of healthcare organizations.
One potent strategy is the implementation of specialized preoperative intervention clinics, which have shown success in improving postoperative outcomes. However, identifying high-risk patients preoperatively is challenging due to limited access to timely patient care data and the absence of robust predictive models.
Dss Solutions and Cloudera have forged a strategic partnership to introduce the SDss onto the cutting-edge Cloudera CDP platform. This groundbreaking solution integrates AppliedAI, predictive, and prescriptive analytics models for proactive healthcare management. It leverages locally stored silo data from hospitals and other pertinent healthcare data within a versatile hybrid cloud environment.
Explore the Surgical Desision support solutions (SDss) detail Solutions white papers here.
Key Highlights of Dss Solutions Surgical Decision Support Solutions (SDss):
Utilizing Cloudera’s robust Enterprise Data Platform, our solution adeptly handles data, regardless of its location—be it in the hybrid cloud (AWS, Azure, GCP), or on-premises. This transformative technology delves into comprehensive patient data, constructing predictive models that pinpoint high-risk patients well before surgery, along with actionable prescriptive instructions.
Notably, SDss stands alone in the market as the solution capable of empowering hospitals to effectively manage surgical outcomes, minimize mortality and readmission rates, all while enhancing profitability.
SDss: Collaborative Solution
SDss: Collaborative Solution
The SDss solutions is also posted both in SDss-Cloudera and SDss-Microsoft sites.
One Platform:
One Platform:
SDss is a comprehensive platform that seamlessly integrates data collection, curation, Dss analytical models, real-time analytics, and pre-built integration dashboards, enabling streamlined data flow to various enterprise applications.
Prebuild Data Curation:
Prebuild Data Curation:
SDss comes equipped with pre-built curation models, facilitating seamless connections to diverse assets without any additional setup. It efficiently processes and structures data into a standardized format, making it readily available for utilization by SDss Healthcare’s pre-built analytics.
Prebuild Analytics Models:
Prebuild Analytics Models:
SDss includes pre-built data visualizations, diagnostics, descriptive, predictive, and prescriptive analytics models that leverage hospital healthcare data to establish a comprehensive knowledge base.
Bedside Streaming & Analytics:
Bedside Streaming & Analytics:
SDss acquires bedside surgical patient data via its prebuilt dashboard and seamlessly streams this data to its analytic modules. This process enables the derivation of patient risk factors and the generation of prescriptive instructions for each step of the surgical procedure.
Continuum Surgical Insights:
Continuum Surgical Insights:
Data will flow through the SDss Dashboard at each stage of the surgical process, facilitating the provision of prescriptive instructions and the accumulation of knowledge for future sharing and predictive insights.
OR/RM Usage Optimization and Planning:
OR/RM Usage Optimization and Planning:
Upon identifying a high-risk patient, SDss assesses the hospital’s resource needs and adjusts them if the patient’s condition deteriorates, ensuring optimal allocation of resources, Operation Room and Resource Management for effective patient care and Hospital Resource Planning.
SDss Cloud Platforms:
SDss Cloud Platforms:
Dss Solutions provides you with the freedom to select the cloud service environment that best aligns with your security preferences for SDss solutions. Although Cloudera CDP resides in the AWS Cloud environment, we recognize that healthcare data may be distributed across various on-premises and online settings. T
o implement SDss Solutions according to your specific healthcare functionality requirements, we begin by creating an environment in the cloud service provider of your choice—whether it’s AWS, Azure, GCP, your private cloud, or hybrid. Subsequently, we seamlessly integrate your data from multiple environments into the new SDss solution environment, ensuring a smooth implementation process.
Our collaboration with Cloudera guarantees that your organization receives an optimized and cost-effective healthcare solution, enabling you to leverage the benefits of cloud services while upholding the highest standards of security.
SDss Clients:
SDss Clients:
Leading healthcare institutions, including UTHealth SA, Memorial Hermann, Baylor Scott & White Health, St David’s Healthcare, and Ascension, have embraced the SDss solution, recognizing its transformative impact on surgical care and patient outcomes. In the face of the challenges posed by surgical complications, these institutions have chosen SDss to enhance preoperative and perioperative support, particularly for high-risk and high-cost patients.
The success stories of these prominent healthcare providers serve as a compelling testament to the efficacy of SDss, motivating new clients to explore this groundbreaking solution for addressing their healthcare challenges.
SDss Solutions-Blueprint:
Below picture visually demonstrates how the Dss Healthcare Analytics team leverages Cloudera CDP to ingest and curate hospital and healthcare data. This process leads to the creation of predictive and prescriptive analytics models, enabling the prediction of surgical patient risk factors during the surgical evaluation process or pre-op floor. These models also provide prescriptive instructions for each step of the process.
The SDss solutions is also posted both in SDss-Cloudera and SDss-Microsoft sites.
Collaboration Key highlights:
Dss Solutions leads the way in providing global cross-industry business analytics solutions, addressing the comprehensive IT and business requirements of our clients. Our extensive expertise encompasses the architecture, design, development, and management of large-scale business IT solutions. Additionally, we offer high-value services for enterprise big data analytics solutions through a partnership with Cloudera, available across on-premises, on-cloud, and hybrid environments.
Dr. Owns, a passionate advocate for patient well-being, has spearheaded groundbreaking work in preventive care. Through collaboration with industry experts and researchers, he has pioneered predictive and prescriptive analytics tools that proactively identify high-risk patients, particularly those from underserved communities, prior to complex surgeries. With over a decade of experience, Dr. Owns has successfully implemented his Surgical Decision Support Solutions across numerous healthcare facilities.
SDss: a Collaborative Solution:
SDss represents a collaborative solution with SDss-Cloudera and SDss-Microsoft. We have implemented SDss solutions utilizing our partners’ Cloudera Big Data Platform, CDP, on Microsoft Azure and Amazon AWS cloud platforms.
Unlocking Excellence in Surgical Care with SDss
Welcome to a new era in surgical excellence with the Surgical Decision Support Solution (SDss). SDss doesn’t just redefine the way surgeries are approached; it revolutionizes the entire landscape by offering a myriad of benefits that significantly enhance surgical outcomes. From proactively identifying risks and optimizing resource allocation to providing real-time decision support for surgeons and preventing postoperative complications, SDss is the cornerstone of technology-driven healthcare.
Experience improved patient satisfaction, nationwide impact on surgical excellence, and financial performance enhancement, all while setting new standards for quality care.
With SDss, we embark on a journey to unlock the full potential of surgical care, fostering a culture of innovation, data-driven decision-making, and proactive healthcare management. Welcome to the future of surgical excellence – welcome to SDss.
Proactive Risk Identification:
Proactive Risk Identification:
SDss employs advanced predictive analytics to identify high-risk patients preoperatively. This proactive approach allows healthcare providers to implement targeted interventions, reducing the likelihood of surgical complications and adverse outcomes.
Optimized Resource Allocation:
Optimized Resource Allocation:
By streamlining preoperative intervention clinics and optimizing the allocation of resources, SDss ensures that interventions are focused on patients who will benefit the most. This leads to more efficient use of healthcare resources and improved patient outcomes.es.
Real-time Intraoperative Decision Support:
Real-time Intraoperative Decision Support:
Dss Surgical Decision Support Solutions offer real-time decision support during surgical procedures. This use case involves leveraging AI algorithms to analyze intraoperative data, providing surgeons with actionable insights to enhance decision-making, improve patient safety, and optimize surgical outcomes.
Prevention of Postoperative Complications:
Prevention of Postoperative Complications:
The continuous monitoring of postoperative data by SDss enables the early identification of complications. Timely interventions based on these insights result in a significant reduction in postoperative complications, shorter recovery times, and an overall improvement in the quality of patient care.
Nationwide Impact on Surgical Excellence:
Nationwide Impact on Surgical Excellence:
SDss, deployed on a nationwide scale, has a transformative impact on surgical outcomes across diverse healthcare institutions. The solution sets new standards for surgical care, fostering a culture of data-driven healthcare excellence and establishing itself as a cornerstone in proactive healthcare management.
Enhanced Reputation and Patient Satisfaction:
Enhanced Reputation and Patient Satisfaction:
Hospitals and medical centers implementing SDss experience enhanced reputation and increased patient satisfaction. The solution’s contribution to improved outcomes and patient safety resonates positively with patients, leading to a strengthened position as a provider of high-quality surgical services.
Leadership in Technology-Driven Healthcare:
Leadership in Technology-Driven Healthcare:
SDss, built on Cloudera CDP, positions healthcare institutions as leaders in technology-driven healthcare solutions. The adoption of SDss signifies a commitment to innovation, data-driven decision-making, and a proactive approach to surgical care, setting a new standard for excellence in the healthcare industry.
Financial Performance Improvement:
Financial Performance Improvement:
The reduction in surgical complications, readmissions, and the efficient use of resources contribute to improved financial performance for healthcare organizations. SDss not only enhances patient outcomes but also positively impacts the bottom line, creating a win-win scenario for both healthcare providers and their patients.
Surgical Decision Support Solutons Use Cases:
Dss Surgical Decision Support Solutions are designed to address the unique challenges in the healthcare industry, providing comprehensive support across the entire surgical journey. From preoperative risk assessment to intraoperative decision support and postoperative care, these solutions aim to enhance surgical outcomes and patient safety.
Risk Assessment and Stratification:
Risk Assessment and Stratification:
Dss Surgical Decision Support Solutions provide advanced risk assessment tools that analyze patient data, including medical history, comorbidities, and demographic factors. This use case assists healthcare professionals in stratifying patients based on their surgical risk profiles, enabling personalized preoperative planning.
Frailty Detection and Intervention:
Frailty Detection and Intervention:
Leveraging predictive analytics, Dss Surgical Decision Support Solutions identify frailty indicators in patients scheduled for surgery. This use case allows healthcare providers to intervene proactively, implementing tailored preoperative interventions to mitigate frailty-related risks and improve surgical outcomes.
Optimized Preoperative Intervention Clinics:
Optimized Preoperative Intervention Clinics:
Dss Solutions enhances the efficiency of preoperative intervention clinics by providing decision support tools. This use case assists healthcare providers in identifying patients who would benefit the most from preoperative interventions, optimizing resource allocation and improving the overall effectiveness of these clinics.
Real-time Intraoperative Decision Support:
Real-time Intraoperative Decision Support:
Dss Surgical Decision Support Solutions offer real-time decision support during surgical procedures. This use case involves leveraging AI algorithms to analyze intraoperative data, providing surgeons with actionable insights to enhance decision-making, improve patient safety, and optimize surgical outcomes.
Postoperative Complication Prevention:
Postoperative Complication Prevention:
Dss Surgical Decision Support Solutions contribute to postoperative care by predicting and preventing complications. This use case involves continuous monitoring of postoperative data, identifying early signs of complications, and enabling timely interventions to prevent or minimize adverse events, ultimately improving patient recovery.
Championing Success: The Impact of SDss in Surgical Care
Embark on a journey through transformative success stories as we unveil the profound impact of the Surgical Decision Support Solution (SDss) on surgical care. These narratives showcase how SDss has been a game-changer, elevating surgical outcomes and patient experiences. From minimizing complications and readmissions to optimizing resource allocation and improving overall financial performance, these success stories highlight the versatility and effectiveness of SDss across diverse healthcare settings. Join us in celebrating the triumphs of SDss as it continues to redefine the landscape of surgical decision-making, ushering in an era of innovation, precision, and unparalleled excellence in healthcare. Welcome to the success stories of SDss – where every surgery is a triumph, and every patient’s journey tells a tale of exceptional care.
Reducing Complications and Readmissions
Reducing Complications and Readmissions
In a major metropolitan hospital, Dss Surgical Decision Support Solution (SDss) was implemented to address the high rates of surgical complications and readmissions. By leveraging predictive analytics, SDss identified high-risk patients preoperatively, allowing healthcare providers to intervene proactively. The result was a significant reduction in postoperative complications, mortality rates, and readmissions, particularly among minority and lower socioeconomic status individuals. This success not only improved patient outcomes but also positively impacted the hospital’s financial performance and quality ratings.
Optimizing Preoperative Intervention Clinics
Optimizing Preoperative Intervention Clinics
A regional healthcare network sought to enhance the efficiency of its preoperative intervention clinics. SDss, with its decision support tools, was integrated to identify patients who would benefit the most from preoperative interventions. The solution optimized resource allocation, ensuring that interventions were targeted and effective. As a result, the network experienced improved patient preparation for surgeries, streamlined clinic operations, and increased overall effectiveness in addressing patient needs.
Real-time Intraoperative Decision Support
Real-time Intraoperative Decision Support
A surgical center of excellence implemented SDss to provide real-time decision support during surgical procedures. By analyzing intraoperative data, SDss empowered surgeons with actionable insights to enhance decision-making. The solution contributed to improved patient safety, optimized surgical outcomes, and increased surgeon confidence. The success of this implementation positioned the surgical center as a leader in providing cutting-edge, technology-driven healthcare solutions.
Preventing Postoperative Complications
Preventing Postoperative Complications
In a large academic medical center, SDss played a pivotal role in preventing postoperative complications. The solution continuously monitored postoperative data, identifying early signs of complications and enabling timely interventions. This proactive approach resulted in a significant reduction in adverse events, shorter recovery times for patients, and enhanced overall quality of care. The medical center achieved notable improvements in patient satisfaction and strengthened its reputation for providing high-quality surgical services.
Enhancing Surgical Outcomes Nationwide
Enhancing Surgical Outcomes Nationwide
Through a nationwide deployment, SDss impacted surgical outcomes on a broader scale. Hospitals and healthcare institutions across the country embraced the solution to address the challenges associated with surgical complications. SDss, built on Cloudera CDP, became a cornerstone in proactive healthcare management, setting new standards for surgical care. This success story underscores the transformative power of SDss in redefining surgical outcomes and establishing a new era of data-driven healthcare excellence.