Giải pháp quản lý tổng thể bệnh viện BSM.HSM 12


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BSM provide core software for operating hospital, including the front office and the back office system. The BSM.HSM run on IBM.DB2 and use IBM Cognos to analyse and build intelligent healthcare system

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  • Case study 029
    This hospital was seeking a long-term business partner to implement a Population Care Management System. They were looking for a solution to deliver the following as a baseline:
    1. Risk stratify patients utilizing both financial (ie claims) and clinical data to address gaps in patient care including data from claims, clinical (EPIC & other clinical systems) as well as other domains including financial, administrative, supply chain and research. This includes both structured and unstructured data.
    2. Provide analytics and reporting data for at-risk populations with clinical decision in batch (retrospective) and real time
    3. Perform predictive modeling to enable proactive interventions.
    4. Provide a secure, encrypted data connection to accept the minimum data transmission necessary to accomplish the request
    Of note: The customer never came to IBM asking for an EDW - they asked for a population care management solution - and IBM guided them to the solution through conversations that shaped client's decisions on future state capabilities and needs. IBM was elected as vendor of choice, mostly due to the following hard work:
    An integrated proposal leveraging breadth of our healthcare solutions to submit IBM for consideration, despite short turnaround for RFI
    Creation of targeted demos and presentations to demonstrate value of joint IBM and Premier solution for population care management
    Deep technical and industry healthcare expertise demonstrated in numerous onsite sessions with hospital leadership
    Partnering between GBS and SWG to show IBM's commitment to advance the hospital's project and business goals, in face of timing challenges with budgetary approval
    An end-to-end analytics platform that includes:
    IBM healthcare provider data model
    InfoSphere Information Server data warehouse bundle for Netezza
    IBM PureData for Analytics (Netezza)
    Premier PopulationAdvisor
    GBS business analytics implementation services
    Guided by IBM Health Information Framework
  • Premier is a great example of an organization that is leveraging IBM’s big data platform to help member organizations gain a greater understanding of their population health and how they’re performing against their peers.
    Premier, the largest U.S. healthcare alliance, includes a network of more than 2,700 member hospitals and health systems, 90,000 non-acute care facilities and 400,000 physicians. The Premier alliance has compiled the largest clinical, financial, supply chain and operational comparative database with information on 1 in 4 discharged hospital patients in the U.S. The database provides members with the detailed comparative clinical outcome measures, resource utilization and transaction level cost data they need to make informed strategic planning decisions that improve processes and outcomes.
    These findings are based on hospital results from members of the Premier healthcare alliance QUEST® collaborative. The 333 participating hospitals set aggressive goals for rapid and sustained improvement; achieving excellence on a number of transparent measures; benchmarking performance against one another; and sharing knowledge to test and then scale strategies that improve the quality, safety and cost effectiveness of care.
    Since 2008, QUEST hospitals have used transparent and publicly available measures that show that they’ve avoided 92,000 deaths and saved $9.1 billion in costs – enough to pay the annual salaries of approximately 60,000 primary care physicians.
    IBM and the Premier healthcare alliance developed a health information platform that integrates clinical, administrative, and financial data. The platform will provide the healthcare industry with its first data-sharing model for hospitals, doctors, and outpatient clinics to support accountable care and performance improvements
    IBM has spent many years building analytics platforms for some of the nation's largest hospital systems
    "For the first time, all members in the healthcare system will be able to easily access data that is consistent and unified to help reduce preventable harm and waste," said Susan DeVore, President and CEO of Premier. "This has been the missing link in helping move the mark on evidence-based medicine by using new insight to transform the quality and cost-effectiveness of care. “
    Chris Stewart, Senior Architect at Premier says, “What we do is to provide data to improve clinical care… You [IBM Netezza] have empowered the next phase of analysis. Our customers are touching Netezza every single day.”
    Keith Figlioli, SVP, Premier “The ability to take data from anywhere in the health ecosystem, aggregate it, benchmark it, and actually impact performance in the healthcare system, and doing that in a near real-time way.”
    Premier has one of the largest clinical data warehouses in the country, with a comprehensive repository of clinical, financial, and outcomes information. They run an on-demand information system for over 2,400 hospitals and over 76,000 other healthcare sites.
    Solution Components
    IBM® InfoSphere®
    IBM DB2 ®
    IBM Cognos® Business Intelligence
    IBM Health Integration Framework
    IBM WebSphere® Application Server
    IBM WebSphere iLOG®
    IBM Tivoli®
    IBM Lotus® Connections
    IBM Business Partner, Perficient, Inc
    Case Study PDF:
    “We knew we needed to take a realistic view of how we would stay relevant to our providers and their needs. We concluded that our future viability depended on changing the way we do business.”
    — Keith Figlioli, SVP Healthcare Informatics, Premier Healthcare Alliance
  • Case Study 008
    Operates 55 campuses across 18 states, participant in CMS Innovation Center Partnership for Patients
    Mission: Making Communities Healthier
    Business Challenge
    Adopt a delivery model of value over volume to remain fiscally sustainable and meet reform requirements for accountability and outcomes.
    What’s Smart?
    Bring together complex distributed data across internal and external sources to create meaningful, actionable information:
    Develop standard tools and tracking measures across all hospitals
    Centralize data for broader, more complex analytics separate from transactional systems
    Empower clinicians with intuitive and flexible dashboards that are easily customized to suit individual needs
    Smarter Business Outcomes
    Keep patients from getting injured or sicker
    Decrease preventable hospital acquired conditions by 40% by 2013 with 1.8 million fewer injuries and 60,000 lives saved over 3 years
    Help patients heal without complications
    Reduce preventable complications during care transition and prevent 30 day readmissions by 20%
    IBM solution
    IBM Healthcare Provider Data Model
    IBM PureData System for Analytics (Netezza)
    IBM Data Stage
    IBM Cognos
    IBM Data Architect
  • Fletcher Allen
    Client Overview
    Fletcher Allen Health Care is a healthcare organization that provides advanced-care and hospital services to a majority of Vermont
    Business Need
    Needed the ability to process large data sets in multiple ways to predict sickness and patient growth as well as provide potential diagnoses.
    Implemented an IBM PureData System for Analytics platform to run advanced analytical queries without the worry of system overload. The platform also helps the client better manage the volume and complexity of data.
    By implementing an IBM PureData System for Analytics platform, Fletcher Allen Health Care improved data-processing speeds, which enhanced efficiency
    Reduced administrative effort, enabling it to focus more on data structure and monitor patient data in near-real time.
    Platform provides the necessary capabilities to move into the trend of big data through unique data interpretations and analysis that were not previously possible
    Gained ability to expand data-analytics processes and has up to 200 users running queries at the same time. Moreover, the client has the ability to expand its capabilities to 1,000 users running queries concurrently
    Solution Components
    IBM PureData System for Analytics (powered by Netezza technology)
    Video Link:
    "I don't have to manage every bit of data that comes in. I can focus on the structure of the data and really what's best for the consumers and analysts to be able to create this and fire through it and slice it." -- Jeremy Fortune, Data warehouse architect, Fletcher Allen Health Care
  • Created in April 2013
    Seattle Children’s
    Client Overview
    Established in 1907, Seattle Children's provides care and research for pediatric patients. The organization consists of the Seattle Children's Hospital, Seattle Children's Research Institute and Seattle Children's Hospital Foundation.
    Business Need
    Seattle Children's needed a consolidated platform to handle an ever-growing volume and variety of patient data amassed by its Seattle Children's Hospital, to improve efficiency.
    Seattle Children's engaged IBM Advanced Business Partner Brightlight Consulting, Inc. to develop an emergency dashboard supported by an IBM PureData System for Analytics solution, powered by Netezza technology to track multiple patients and populations and to treat each patient across a spectrum of all of visits and encounters.
    The client reports that a query that used to require 14 minutes now takes just four seconds to complete, an improvement of more than 99 percent.
    Clinical-report-generation times also greatly improved, dropping from months down to a day to complete. The solution helped Seattle Children's gain a holistic view of patient care. It can more easily integrate data to delve deeper into patient histories.
    Enhanced adherence to healthcare protocols drives quality through consistency in delivery of appropriate, evidence-based care.
    The client gained the ability to meet compliance and regulatory requirements.
    Solution Components
    IBM PureData System for Analytics (powered by Netezza technology)
    Video Link:
    "The IBM technology has greatly simplified things. As we have gone and pulled in data from our different systems into the IBM PureData for Analytics solution, we have been able to see across the entire episode of care for our patients." -- Wendy Soethe, enterprise data warehouse manager, Seattle Children's Hospital
  • Challenge:
    Educate 3 million members about screenings and wellness programs through newsletters
    Provide web portal for benefits and claim history
    Transition to an active, personalized system that engages members in their healthcare
    Deploy a system that is cost effective and easy to manage
    IBM PureData System for Analytics (data warehouse) with IBM Cognos and SAS for business intelligence and Oracle Data Integrator for ETL
    Data warehouse with 7 years of data on members, accounts, providers, claims, billing, lab results, call data, benefits, marketing info, etc.
    15TB supporting 5,500 users
    Deployed in 6 months, ROI in 18–24 months
    40% increase in traffic to
    26% increase in registered members in one year
    Personalized web messages delivered to members via web portal
    Comprehensive view of health data and benefit usage info improves member experience and analysis while reducing providers’ costs
    Blue Cross Blue Shield of Massachusetts
    Headquartered in Boston, Blue Cross Blue Shield of Massachusetts (BCBSMA) is an independent licensee of the Blue Cross Blue Shield Association, and provides health coverage for nearly three million members across the
    state. Founded in 1937, BCBSMA has 3,500 employees and works with over 20,000 participating health maintenance organization (HMO) physicians and 77 HMO acute care hospitals.
    Sophisticated rules engine uses web portal to deliver personalized messages to members
    EDW houses 7 years data on members, accounts, providers, claims, billing, lab results, call data, benefits, marketing info, etc.
    Members can manage health with alerts & reminders
    Web traffic to increased 40%; registered members increased 26% in 1 year
    Comprehensive view of health data + benefit usage info improves member experience & analysis while reducing providers’ costs
    Solution Components
    IBM® Cognos® Business Intelligence
    IBM Netezza data warehouse appliance
    Case Study PDF:
    “The combination of IBM Cognos Business Intelligence and Netezza gives us a lightning-fast analytics platform that has significantly increased adoption of business intelligence across the organization.”— Shashikanth Vangala,
    Manager & Chief Solutions Architect of Business Intelligence, Blue Cross Blue Shield of Massachusetts
  • Created in April 2013 Case Study 030
    Leading Insurance Provider Call Center
    Client Overview
    With over fifty years of commitment to providing affordable insurance, one leading provider takes pride in delivering tangible value to its customers, members and stakeholders.
    Business Need
    Call center agents sometimes had to access all applications to handle just one call – opening multiple windows and jumping from one application to the next. The business managers realized that there was a need for faster, easier access to all customer information.
    Faster access to relevant and accurate customer and product information would speed agent response time and shorten average call handle time.
    The company selected IBM InfoSphere Data Explorer to integrate huge volumes of data from across multiple sources and applications and effectively support managing inbound customer calls. Enabling the call center to operate more efficiently would have a positive impact on customer service.
    IBM InfoSphere Data Explorer seamlessly connects disparate data sources and provides quick, fluid access to organizational information in a single unified view from one access point
    Improved productivity for 14,000 agents, saving an average of 3 seconds on call handle time and millions of dollars annually.
    Helped ensure 99.999 percent uptime at every location, delivering a commanding query-per-second speed.
    Delivered value equal to 141 full-time employees, saving USD11.2 million per year.
    Solution components:
    IBM InfoSphere Data Explorer
    Case Study PDF:
    The company has reduced costs to hire and train new agents, and InfoSphere Data Explorer has delivered value equal to 141 full-time employees, saving USD11.2 million per year.
  • Created in April 2013
    Client Overview The UCLA Department of Neurosurgery carries a continuing commitment to provide excellence in leadership in the major disciplines of neurosurgery. Neurosurgery Centers of Excellence have been established in Brain Injury, Brain Tumors, Epilepsy Surgery, Neurovascular Surgery, Pediatric Neurosurgery, Spinal and Peripheral Nerve Surgery, and Stereotactic and Functional Neurosurgery. Other developing programs in Neurosurgery include Neuroendoscopy, Hydrocephalus, Interventional MR surgery, and Neurological Critical Care. The UCLA Department of Neurosurgery faculty includes 15 full-time academic clinicians; each with highly developed clinical subspecialization and focused research activities. Five Neurosurgery faculty were cited in the pacific region's most recent edition of "Best Doctors in America." Three neurosurgical Ph.D. investigators direct innovative grant-funded research and development programs. The educational programs of the Department of Neurosurgery are further supported by 20 dedicated clinical faculty members.
    Business NeedToday, patients with traumatic brain injuries are under constant surveillance by bedside monitors measuring the patient’s vital signs, but nurses are only alerted by the bedside monitor alarm when brain pressure crosses a critical threshold. At that point, an instant decision must be made by the nurse or physician to determine if the alarm is false, if the condition is life-threatening, or if immediate action is needed to prevent brain damage or death. UCLA’s study aims to address these questions. UCLA neurointensives will use real-time analysis from thousands of vitals collected and flowing from patients’ bedside monitor inside the intensive care unit at Ronald Reagan UCLA Medical Center. The technology’s goal is to provide advance warning to physicians and nurses of pending changes in the patient's condition, allowing them to take preventive action to keep patients safe from rising brain pressure.
    Provides a predictive alarm system which helps prevent brain damage or death
    Predicts critical changes in the patient’s condition
    Solution Components
    • IBM® InfoSphere® Streams
    Press release link :
    Video link :
  • University of Ontario Institute of Technology
    Client Overview:
    UOIT – which serves 8,400 undergraduate and graduate students – and The Hospital for Sick Children teamed with IBM Research to develop a first-of-a-kind, stream-computing platform .
    Helps clinicians spot signs of infection earlier than ever before, helping improve patient outcomes
    To better detect subtle warning signs of complications, clinicians need to gain greater insight into the moment-by-moment condition of patients
    A first-of-its-kind, stream-computing platform was developed to capture and analyze real-time data from medical monitors,
    Alerting hospital staff to potential health problems before patients manifest clinical signs of infection or other issues.
    Early warning gives caregivers the ability to proactively deal with potential complications – such as detecting infections in premature infants up to 24 hours before they exhibit symptoms.
    Holds the potential to give clinicians an unprecedented ability to interpret vast amounts of heterogeneous data in real time, enabling them to spot subtle trends
    Detects infections in premature infants up to 24 hours before they exhibit symptoms
    Provides a flexible platform that can adapt to a wide variety of medical monitoring needs
    Solution components
    ● IBM InfoSphere™ Streams
    ● IBM DB2®
    Case study :
    “I could see that there were enormous opportunities to capture, store and utilize this data in real time to improve the quality of care for neonatal babies.”— Dr. Carolyn McGregor, Canada Research Chair in Health Informatics, University of Ontario Institute of Technology
  • Client
    A leading specialty hospital for women and newborns in North America
    Business need
    Studies show that physiological instability can cause adverse neurodevelopmental outcomes in neonatal babies. For example, if a neonatal baby is deprived of adequate oxygen supply and develops low blood pressure, the baby may develop brain injury, or his brain may abnormally develop. Other studies have demonstrated that increasing levels of chronic physiologic instability are associated with diminished mental, motor and receptive language development.
    The existing approaches to prevention or treatment of neonatal babies at risk for neurodevelopmental disabilities emphasize early assessment and intervention, such as preventing late-onset neonatal sepsis to optimize their developmental outcome. However, hours before any overt sign of trouble, nearly undetectable changes begin to appear in the vital signs of infants who have contracted an infection. The indication is a pulse that is within acceptable limits, but not varying as it should; heart rates normally rise and fall throughout the day. When a baby is experiencing an infection, this doesn’t happen as much, and the heart rate becomes regular over time. So although the information that is needed to detect the infection is present, the indication is extremely subtle; rather than being a single warning sign, it is a trend over time that can be difficult to spot.
    Additionally, monitors that support these babies continuously generate information that can give early warning signs of physiological instability, but the data is too large for the human mind to process in a timely manner. With the mounting volumes of data charted manually and captured from monitoring devices at extremely high speeds, neonatologists found it humanly impossible to absorb and reflect upon every element presented to identify the significance of any trends. Consequently, the information that could prevent an infection from escalating to life-threatening or neurologically damaging status is lost.
    To prevent adverse neurological development of premature babies in its Neonatal Intensive Care Unit (NICU), this leading specialty hospital for women and newborns in North America wanted to gain greater insight into the moment-by-moment condition of each of its patients to better detect subtle warning signs of complications.
    Solution implementation
    The pediatrician-in-chief at this hospital heard the initial publicity about the unique collaboration between a hospital for sick children, informatics researchers at a leading Canadian university and IBM, in which the groups developed and deployed a First-of-a-Kind, stream-computing platform. Referred to as Project Artemis, the solution captures and analyzes near-real-time data from medical monitors, alerting hospital staff of potential health problems before neonatal infants manifest clinical signs of infection or other issues. Project Artemis is based on IBM® InfoSphere™ Information Server, IBM InfoSphere Streams and IBM DB2® software. The InfoSphere Streams information-processing architecture enables near-real-time decision support through the continuous analysis of streaming data using sophisticated, targeted algorithms. The DB2 relational database provides the data management required to support future retrospective analyses of the collected data.
    Based on the nature and objective of the project, the pediatrician-in-chief believed that it would benefit the neonatal babies at his hospital and support its participation in a multicenter clinical research study into early-onset detection of physiological instability, with an initial focus on early-onset detection of late-onset neonatal sepsis.
    The existing NICU at this leading specialty hospital for women and newborns accommodates more than eight babies in the same room. The crowded environment lent itself to a high noise level, the possibility of feeding mix-up, and no room for parents to have long visits with their babies - all of which the hospital believes may contribute to development of physiological instability and late-onset neonatal sepsis. When the pediatrician-in-chief engaged the Canada research chair in health informatics at the leading Canadian university, who led the Project Artemis effort at a hospital for sick children, this hospital was building a brand-new 80-bed NICU building as part of a strategic informatics initiative. It was setting up an infrastructure so that each baby could be in his own room with a dedicated staff and medical devices. The hospital wanted to track and monitor the difference with the babies in this new setting by broadly monitoring neonatal instability as it relates to the neurodevelopmental outcomes in this setting, extending the initial Project Artemis study of the hospital for sick Project on early detection of late-onset neonatal sepsis.
    The hospital currently has 27 neonatal babies enrolled in the Artemis Cloud project (extension of the Project Artemis that uses cloud computing technology). With close collaboration between the pediatrician-in-chief at this leading specialty hospital for women and newborns and the informatics chair at the leading Canadian university, a research version of the Artemis Cloud project was deployed on servers located in a secure server room at the Canadian university. The solution is provided as a Software as a Service (SaaS) and the data stored within the Data Integration Manager based on the Data as a Service (DaaS) model. The Artemis Cloud solution collects data by the minute from the hospital with spot readings of heart rate, respiration rate, blood oxygen saturation, blood pressure and other physiological readings that are captured by the SpaceLab devices connected to study-enrolled neonatal babies. The streaming data is transmitted through a secure internet tunnel to the Canadian university. Each bed is wired to the solution such that once a baby is registered into the room by the hospital, data is automatically collected and streamed to the Canadian university.
    The medical devices output the data in a HL7 packet every minute using Mirth freeware. And similar to Project Artemis, patient record identifiers are translated to study identifiers before the data is transmitted to the Canadian university, ensuring patient anonymity. This data is then forwarded to the InfoSphere Streams V1.2 application and stored in the IBM DB2 relational database within the data integration manager component of the near-real-time environment. The previous day’s data is copied on a daily basis to the knowledge extraction component, which is located in the same secure server room at the Canadian university, supporting the Canadian university and the hospital’s clinical research into early-onset detection of late-onset neonatal sepsis on a slower-frequency physiological data stream.
    The clinical results for both Project Artemis at a hospital for sick children and Artemis Cloud at this hospital studies are planned to be released in the summer of 2012.
    Patients can develop multiple conditions concurrently over time, and each condition can have a set of behaviors with a pattern of occurrence. The Artemis Cloud solution detects even the subtlest patterns and alerts NICU physicians, nurses and caregivers of early warning signs of complication, preventing the onset of infections and saving the lives of neonatal infants. The solution combines the expert knowledge and experience of physicians and nurses with technological capabilities to yield better and accurate results than those provided by monitoring devices alone. It also supports advanced clinical research of physiological stream behaviors by enabling the search for new physiological behaviors with a high correlation to a given condition of interest.
    The Artemis Cloud solution also opens opportunities to explore cost-effective solutions for rural and remote hospitals through its near-real-time analysis of physiological data via a SaaS cloud computing model and the storage of the data using the DaaS cloud computing model. Provided as a SaaS cloud computing service with 99.9 percent data retrieval and 100 percent uptime, Artemis Cloud technology substantially benefits critical care patients who don’t have access to the special intensive care they need without having to be transported to a critical care unit immediately.
    With the success of this project, the partnering Canadian university is eagerly working on two other projects that will extend this research. The new studies are supported by a joint grant initiative that exists between Canadian Institute for Health Research and the National Science Foundation of China to investigate the cultural difference in neonatal care.
    Instrumented - Patients’ vital-sign data is captured for each bed with attached monitoring devices up
    to 1,000 times per second.
    Interconnected - Information from monitoring devices is integrated with clinician knowledge in near-real time for an automated, multidimensional analysis using a sophisticated, cloud-based computing platform.
    Intelligent - The solution detects medically significant events even before patients exhibit symptoms, enabling proactive treatment before the conditions worsen, reducing morbidity and mortality rates as well as preventing adverse neurological development for babies in neonatal care.
  • Brigham and Women’s Harvard Medical School
    The total data store used by the researchers Harvard Medical School covers more than 10 million patients, exceeds 15 TB of data and continues to grow.
    Many factors are now included in the anonymized patient medical history tracking that were not collected in the past or simply not considered
    With access to markedly larger amounts of patient data than ever before, the more traditional research tools had simply become too slow.
    The research team was looking to find a platform for computational pharmacoepidemiologic analytics that would address critical needs, including those related to speed and complexity
    IBM Netezza® representatives worked with Harvard Medical School to install an IBM® Netezza 1000 data warehouse appliance
    Architecturally, the appliance is preoptimized for fast analytics and integrates database, server and storage into a single system that requires little ongoing maintenance.
    The Netezza solution met all of the medical school's critical requirements and more, enabling Harvard Medical School to:
    Dramatically increase query response while running previously developed SQL and SAS code with minimal changes
    Load data into the database more quickly than with its prior solution
    Provide drug developers and regulators with superior large-scale, postmarket data
    Facilitate in-depth, active surveillance for postmarket drug safety
    Provide extensive data to assist with public sector health decisions
    Offer physicians more detailed data for their prescription decision process
    Create tools to improve adherence to beneficial medications
    Present patients with more reliable information about their prescribed drugs
    Solution Components
    IBM Netezza data warehouse
    Case study :
    Video case study :
    “This solution will accelerate our ability to devise, test and publish new computationally intensive algorithms applied to large longitudinal healthcare databases that we hope become the ‘gold standard’ for researchers globally. . . . Accurate effectiveness information generated with little delay will help healthcare decision makers improve the health of our patients.” —Dr. Sebastian Schneeweiss, director for Drug Evaluation and Outcomes Research
  • COPD exacerbations requiring inpatient admission have a significant impact on patients' quality of life, mortality risk and resource utilization. The UK National Health Service (NHS) is limiting reimbursement for readmissions for the same reason occurring within 30 days of discharge. Reviewing the frequency and impact of such admissions is important activity for decision makers in the NHS and Pharma.
    Research question: In a cohort of patients with at least one emergency admission related to chronic obstructive pulmonary disease (COPD), assess risk of emergency readmission within 30 days for COPD events and for cardiovascular events. Also, assess risk of death in hospital during hospitalization and during subsequent hospitalization.
    Data: An anonymized version of admissions data from English hospitals submitted to the NHS. Data include diagnoses (ICD10), procedures (OPCS4), Healthcare Resource Grouping (HRG), admission and discharge dates, any critical care information; details of patients, hospitals, consultants and general practitioners (GP); visits to specialist (ambulatory, outpatient).
    Conclusion: The burden of emergency COPD exacerbation requiring hospitalisation is substantial: 18% of COPD patients experienced an emergency readmission within 30 days, with almost half attributed to COPD. Nearly one in 10 patients died (in hospital) during ECOPD admission or from re-admission within 30 days of discharge. With appropriate computing power, HES offers significant insights into the secondary care usage in England.
    The NHS offers unique research opportunities. There are gaps in coverage of the data which the UK government, through its Life Sciences Strategy, aspires to fill.
    Platform power:
    Faster runs - 6hrs to 3mins (120x), 8hrs to 31mins (15x)
    Enabled iterative and exploratory analyses on Netezza
    Multiple LOBs potentially can leverage single platform for drug development and clinical trial related analytics
    Research agility using SAS improved – faster, richer
    Netezza-1000-6 System used. Installed in days.
    Entire environment (DB, OS, Storage managed by less than 1/2 FTE)
    Self Service Analysis - Used SAS for analysis and no visualization
    End to End Analysis involved requiring faster data integration with other data sets
  • Giải pháp quản lý tổng thể bệnh viện BSM.HSM 12

    1. 1. Hospital Solutions Management BSM.HSM 12 Copyright © 2006-2013 BSM Software Corp
    2. 2. Introduction about BSM BSM Software Corp is member company of BSM Group which was established in 2004 specializing in consulting solutions and software development in the context of the country entered the era of integration. We provide software solutions and effective quality management. BSM Software Corp
    3. 3. Products and services  Hospital management software  Warehousing & Transportation software  The integrated management software by the barcode/ RFID  Software implementation consultants, technical consultants to provide technical services, system maintenance, ... BSM Software Corp
    4. 4. Software Solutions : 1. Integration 2. A systematic overview 3. Content modules 4. Technology application BSM Software Corp
    5. 5. Integration Accounting Medical e-HSM intergration Drug store FoxPro .NET Framework / XML Personnel Excel Access BSM Software Corp
    6. 6. IBM.Co gnos Staff Depart ment Environment .NET Framework (Web/Desktop/Mobile) System overview • Relation between modules • Multi-user system • Integration and avoid duplication of data • Scalability in the future • Convenient interface for user Clinic(outpatient) •Find information, statistical report convenience BSM Software Corp Reporting and management system IBM Cognos Medical records / Patient (inpatient) O/S (Windows/Linux) Management module on healthcare fees Document Management IBM.DB2 Database Cluster Drug management module Personnel and payroll Management Procurement Management Clinical approach Management Application integration - Documents management -Access to patient information by Mobile, - web Management of medical equipment • Data access Web/Intranet, Desktop • Provide multiple data entries (import, scan, barcode) Syste m admini stratio n Financial accounting XML Internal application Department application Operating system Data system IBM.DB2
    7. 7. HSM System
    8. 8. Laboratory Department Clinic No 1 Pharmacy Phòng Khám The end Patient receiving desk Beginning BSM Software Corp Hospital fee booth
    9. 9. Barcode system, fingerprint Patient Barcode Patient inbound Barcode Healthcare File Barcode BSM Software Corp
    10. 10. Outpatient management: The transfer of drug Drug report Consumable materials Test/Diagnosis Patient Phòng Khám Appoin tment Hospital fee Department BSM Software Corp Payment of hospital fees Opproadh clinical trials Dep
    11. 11. Inpatient Management: The transfer of drug Drug report Consumable materials Test/Diagnosis Clinical trial Dep Medical hospitalized Approach clinical trial Dep Transfer Department Payment of hospital fees Discharge Advance payment Hospital fees booth TCKT BSM Software Corp Patient Romm
    12. 12. Management of hospital fees: •Theo dõi thu viện phí •Báo cáo thu viện phí (7) Payment for drug Pharmaceutical Dep (4) Payment advance hospital bed Clinical trial Dep (1) Receiving Patient Receipt&payment voucher (2) Hospital fees booth (3) Collect fees for X-ray;ultrasound; test … (6) Collection of hospital fees report Discharge Finance Dep Khoa CLS BSM Software Corp
    13. 13. Store Pharmacy Management Module Drug receipt, receipt or chemical Health material Receipt Drug report Purchasing invoice, Clinic Suppliers The transfer of drug Transfer of drug Pharmacy Purchasing invoice, Payment supplier Stock detail report Inventory report  Total amount drug, Hospital fee Transfer drug Accounting Dp Inventory BSM Software Corp
    14. 14. Asset Management: •Transfer equipment&supplies slip Phòng •Receipt of material HCQT Department progerties slip •Usage supplies Statictics The The transfer of transfe drug r equipm • Barcode asset card ent and • Minutes of Asset inventory supplie • The record of supplies inventory s •The record of inventory of consumable supplies •Minutes of the liquidation of assets, suppliesĐiều chuyển thiết bị vật tư Storage of equipment & supplies BSM Software Corp Contracts & invoices provide equipment & supplies Suppliers Invoice, price •Total value of supplies & equipment •Updated increase & decrease asset •Subscribe to asset Phòng TCKT depreciation •Asset inventory •Location Asset
    15. 15. Personel & payroll Management: Department The transfer pesonel to monitor patient Patient BSM Software Corp •Assignment calendar •Personel acceptation •Tracking attendance on Assgnment pesonel to timekeeper care patient •-Personel acceptation office •Assigned to Department Personel Calculate payroll Pay payroll Monitoring Pattient FA office
    16. 16. Content management module results Laboratory Ultrasound prescription Ultrasound Result IBM.DB2 Database Cluster Test Screening Result Serology 10 9 8 7 6 Colum n 1 Colum n 2 Colum n 3 5 4 3 2 1 0 Row 1 R ow 2 Row 3 BSM Software Corp Row 4
    17. 17. Financial Accounting modules •Subscribe warehousing bill of materials and equipment Drug store Inventory •Deposit receipts of hospital charges Human resource • Subscribe to the test fee and the number of tests performed at CLS department, clinic. • Check equipment inventory consumption, import and inventory periodically. •Get control information about the use and depreciation of fixed assets in the hospital. •The salaries and rewards for staff at maturity based on the timesheet Patient Clinic Financial & Accounting In Patient Fix asset •Sum all hospital charges when the patient discharge •Perform regular accounting operations such as accounting cash, receivables patients, to pay . suppliers, banks •The Accounting Dep will output general reports for Director in the end of month BSM Software Corp Laboratory Salary table Bank
    18. 18. Patient relationship management  Remind schedule appointment for each patient  Remind schedule appointment for each patient  Send aamessage to remind patient to take medication on time  Send message to remind patient to take medication on time Gathering information on assessing the quality of service of each Gathering information on assessing the quality of service of each patient patient  Online counseling  Online counseling  E Hospital  E Hospital Customer evaluation of service quality, efficient service ... staff, physicians, according to two criteria "satisfied" and "not satisfied". Not satisfy criteria analysis of criteria such as: "waiting time too long", "bad attitude", "poor service" and "needs improvement” Data were collected to the system to provide the service assessment reports BSM Software Corp
    19. 19. Technology application System Architecture • . NET Framework • Model n-tier • Data XML • IBM.DB2 •IBM.Cognos •Privacy MD5/SSL • Automatic backup system • Windows 2008 .NET Server /Unix BSM Software Corp
    20. 20. Mobile Healthcare •Technology Application Mobile inpatient medical •Assess patient data by Mobile •Making prescription drugs, testing requirements, ... •Integration data to the Server BSM Software Corp
    21. 21. Smart Healthcare •BSM is a Partner of IBM Software Group. we are working with IBM's Healthcare Solutions has successfully deployed in North America to build a hospital in Vietnam smarter. In the clever hospital environment : the medical records, prescriptions, diagnostic test images ..would be to computerize. The doctor will reduce the load time administrative records and records of the history of the patient medical records are accessed The doctor take the time health care more patient, making diagnosis and correct treatment => Patients are the core of the => Patients are the core of the intelligent hospital operations intelligent hospital operations BSM Software Corp
    22. 22. Smart Healthcare =>Patients are the core of the intelligent =>Patients are the core of the intelligent hospital operations hospital operations  Information Storage for millions of patients  Patient medical history storage >= 10 years  Remind schedule appointment for each patient  Send a message to remind patient to take medication on time  Gathering information on assessing the quality of service of each patient Building a virtual medicine center  Determining the exact position of the stretcher, medical equipment…in hospital  Determining the location of each patient in hospital … BSM & IBM has a solution to make an intelligent BSM & IBM has a solution to make an intelligent hospital hospital BSM Software Corp
    23. 23. Smart Healthcare IBM Cognos Smart Healthcare :: IBM Cognos Smart Healthcare ••25 percent increase in daily 25 percent increase in daily outpatient referral volume due to outpatient referral volume due to more efficient coordination of care. more efficient coordination of care. ••Nearly 30 percent increase in Nearly 30 percent increase in the share of repeat patients due the share of repeat patients due to increased satisfaction with the to increased satisfaction with the overall patient experience. overall patient experience. ••Improved efficiency, safety Improved efficiency, safety and continuity of care through and continuity of care through seamless patient records seamless patient records across the entire Bangkok across the entire Bangkok Hospital network. Hospital network. ••Optimization of growth-related Optimization of growth-related decisions through the use of decisions through the use of advanced financial modeling advanced financial modeling tools tied into Hospital’s tools tied into Hospital’s business and clinical systems. business and clinical systems. BSM Software Corp
    24. 24. Smart Healthcare •Data analysis for detecting fraud in health and insurance •Detecting fake test results by analyzing the targets unreasonable •Analysis of test results overlap BSM Software Corp
    25. 25. Mobile Healthcare •Mobile healthcare applications to manage patient care women •Management Women menses cycle •Maternity •Manage prescription drugs, time drink drugs •Health status during pregnancy •Schedule regular checkups •Knowledge of women's health care BSM Software Corp
    26. 26. Mobile Healthcare •Manage the health of children from birth •Calendar vaccine •Manage prescription drugs, time drink drugs •Growth weight status compare with standard monthly •Nutrition for kids BSM Software Corp
    27. 27. Some typical customer of BSM Hospital        BSM Software Corp Sihospital Trung tâm chăm sóc sức khỏe Bà mẹ Trẻ em Bình Dương Trung tâm chăm sóc sức khỏe Bà mẹ Trẻ em Bình Phước Bệnh viện tâm thần Ba Ria Vung Tau Viet Y Hospital Dongnai international Hospital …
    28. 28. Need • Risk stratify patients utilizing financial (claims), clinical (Epic and other) and other domain data to address gaps in patient care and move from fee-for-service to value based outcomes Benefits • Provide analytics and reporting data for at-risk populations with clinical decision in batch (retrospective) and real time • Perform predictive modeling to enable proactive interventions. • Provide a secure, encrypted data connection to accept the minimum data transmission necessary to accomplish the request BSM Software Corp
    29. 29. Premier health alliance improves patient outcomes while reducing spending by USD 9.1B Need • Improve patient outcomes through enhanced data sharing and analytics • Make data in different formats shared across thousands of locations easier to access Benefits • 333 participating hospitals saved an estimated 92,000 lives and reduced healthcare spending by USD 9.1B since 2008 • Reduced health spending by decreasing unnecessary readmissions, ER visits and procedures • Improved access to data helps deliver the promise of Accountable Care Organizations BSM Software Corp
    30. 30. Healthcare provider uses analytics to create a healthier community Need • Adopt a delivery model of value over volume to remain fiscally sustainable and to meet reform requirements • Bring together complex distributed data across internal and external sources • Develop standard tools and tracking measures Benefits • Decrease preventable hospital acquired conditions by 40% with 1.8 fewer injuries and 60K lives saved • Reduce preventable complications during care transitions • Prevent 30 day readmissions by 20%
    31. 31. Fletcher Allen Healthcare turned to PureData System for Analytics to predict population sickness and growth Need • Fletcher Allen understood that in order to effectively manage data growth and uncover insights about patient care, it needed to increase reporting efficiency for clinical and business users Benefits • Massive parallel-processing reduced administrative effort, enabling clinicians and business users to focus queries that lead to patient care and insights in nearreal time. • Provides the necessary capabilities to capitalize on opportunity with big data • Extended data-analytics processes; has up to 200 users running queries simultaneously BSM Software Corp 31
    32. 32. Seattle Children’s relies on PureData System for Analytics to simplify analytics and reporting and improve insights for patient care Need • Seattle Children's manual process for analysis and reporting was increasingly stretched with an ever-growing volume and variety of patient data. To increase efficiency and analytics capabilities the hospital sought a consolidated platform. Benefits • Accelerates query times by more than 99 percent, increasing the number of reports executed by clinicians. • Simplifies analytics and reporting. • Improves compliance with federal reporting requirements wi improved data quality and reduced report-generation times BSM Software Corp 32 Home
    33. 33. BCBS of Massachusetts personalizes web content to educate 3,000,000 members Need • Transform website experience so it adds value beyond a simple check-in or transaction functionality for end users Benefits • Web traffic increased 40% with registered members increased 26% in 1 year • Comprehensive view of health data and benefit usage info improves member experience BSM Software Corp
    34. 34. Leading healthcare insurance provider call center enables 14,000 agents with single view of customer and product data Need Case Study link common/ssi/ecm/en/imc1 4799usen/IMC14799USE N.PDF • Inefficient access to huge volumes of siloed customer and product data reduced agent productivity and increased average call handle time. Agents needed faster access to information Benefits • Improved productivity for 14,000 agents, saving an average of 3 seconds on call handle time, and millions of dollars annually • Helped ensure 99.999 percent uptime at every location, delivering a commanding query-per-second speed • Improved application performance to support daily operations and business users at 180 sites BSM Software Corp 34
    35. 35. UCLA Relies on Breakthrough ‘Big Data’ Technology from IBM To Help Patients with Traumatic Brain Injuries Need • A technology that provides advanced warning to physicians and nurses of pending changes in a patient's condition. This would allow medical staff to take preventive action to keep patients safe from rising brain pressure and a higher risk health scenario. Benefits • Captures and analyzes streaming physiological data from bedside monitors in the ICU to warn clinicians of impending brain damage • Predicts critical changes in the patient’s condition, allowing for life-saving medical responses 35
    36. 36. University of Ontario Institute of Technology (UOIT) uses big data to improve quality of care for neonatal babies Need • Performing real-time analytics using physiological data from neonatal babies • Continuously correlates data from medical monitors to detect subtle changes and alert hospital staff sooner • Early warning gives caregivers the ability to proactively deal with complications Benefits • • 36 Detecting life threatening conditions 24 hours sooner than symptoms exhibited Lower morbidity and improved patient care
    37. 37. Leading hospital for women and newborns detects neonatal abnormalities in near real-time Capabilities Utilized Information Server, DB2, Stream Computing, Software as a Service • Collecting heart rate, respiration rate, blood oxygen saturation and blood pressure by the minute • Remotely analyzing data streams in near real-time to spot subtle trends Results • Improves clinicians’ ability to interpret vast amounts of heterogeneous data in near-real time • Anticipates improved clinical outcomes by using multidimensional near-real-time analysis • Supports hospitals in rural areas by mitigating need to transfer patients to critical care units
    38. 38. Harvard Medical School researchers bring drug safety and effectiveness studies to new levels Need • A research tool that could learn over time, bringing the very latest drug effectiveness and interaction data right to patients’ bedsides Benefits • Enables one of the department's novel algorithms, its high-dimensional propensity scoring, to run 20 to 30 times faster than in its previous relational database environment • Enables the department to conduct faster pharmacoepidemiologic analytics • Automates continuous drug safety and effectiveness monitoring 38
    39. 39. Global pharmaceutical R&D team discovers hidden problem in secondary care Need • Understand the potential for therapeutic interventions to reduce 30-day readmissions through analysis of the burden of emergency COPD exacerbation requiring hospitalization Benefits • Iterative and exploratory analysis on anonymised cohorts of patients led to identification of problem areas for 30day readmissions • Discovered substantial levels of COPD-related readmissions: 18% of COPD patients experienced an emergency readmission within 30 days of discharge, with almost half attributed to COPD • This analysis provides insight into secondary care usage and can provide guidance to reduce mortality and readmissions through drug therapy
    40. 40. Please contact :  NGUYỄN THANH BÌNH CEO-BSM Cell : 0908329566 Email : Web : BSM Software Corp
    41. 41. Sincerely thank ! BSM Software Corp