This document summarizes the administrative structure for clinical documentation and data capture at a healthcare facility. It discusses how the implementation of an electronic system will help capture ICD codes, facilitate reimbursement processing, and support quality improvement efforts. The system will require training staff, ongoing maintenance, and evaluation metrics to ensure it meets objectives of improving care delivery and supporting evidence-based practices.
The document discusses the implementation of QlikView at Bassett Healthcare to improve surgical processes and utilization. Key points:
- Bassett Healthcare deployed QlikView to analyze data from multiple systems to improve on-time case starts from 48% to 85%, increase charge capture by 30%, and increase surgical throughput.
- QlikView provided self-service analytics capabilities without needing IT, allowing users to analyze data and gain insights into utilization and performance.
- The implementation helped greenlight a dedicated trauma room and staff an underutilized rural facility, improving access to care.
Producing Better and Affordable Healthcare Services Using Computational Intel...EMMAIntl
Computational Intelligence (CI) is one of the major pillars of Artificial Intelligence. It is the study, design, and development of intelligent software based on the theory of evolution. Within the past decade, healthcare has become expensive. Also, with the declining doctor-patient ratio, there are constant needs for computing systems for everything from executing simple tasks, such as booking appointments, to major services such as consulting and diagnosis...
Your EMR/EHR is implemented, what’s next?Sally Akers
This document discusses next steps for organizations after implementing an electronic health record (EHR) system. It outlines a three-phase approach:
1) Stabilize the EHR system in the near term by focusing on speed, reliability and user interface to allow clinicians to work efficiently.
2) Create a comprehensive health record in the mid-term by integrating all patient data into a single longitudinal record.
3) Continuously enhance care in the long term by using data to improve quality and efficiency of healthcare delivery.
The document also discusses enabling nationwide health information exchange and providing tools to optimize use of clinical data and evidence for decision-making.
This document discusses factors to consider when evaluating a clinical information system (CIS), including:
- Who is involved in choosing, implementing, and revising a CIS
- Factors to consider before implementing a CIS such as costs and failure rates
- How a CIS should be structured and updated
- Companies that design clinical decision support systems
- Security, access controls, and costs including implementation, support personnel, and purchasing options.
- How users should be educated on a system and updates through various learning methods.
Health care organizations need an efficient way to process and share care delivery information to increase productivity, deliver better quality care, save money and ensure compliance.
Louis Schwartz has over 23 years of experience leading IT organizations in healthcare settings. He currently works as a Solutions Consultant for Philips Healthcare, where he helps define project scopes and ensures smooth transitions between project phases. Prior to this role, he held several leadership positions within the US Army, including Health Information Systems Officer and Chief Information Officer, where he implemented electronic health records and oversaw IT departments. He has a track record of delivering projects on time and within budget while coaching teams to success.
Clinical information systems (CIS) integrate medical applications and technologies to collect, store, and analyze healthcare data to provide secure access for clinicians. A CIS includes electronic medical records, clinical decision support, and tools for training and research. Key benefits include easier access to patient data, improved searchability, enhanced safety, and data analysis. Nurses, physicians, administrators and other staff must be involved in selecting and implementing a CIS to ensure it meets clinical needs. The implementation process involves eight phases from planning to evaluation to ensure the system functions properly. Overall, a well-implemented CIS aims to make healthcare delivery and decision making more efficient, safer and higher quality.
This document summarizes a meeting of the Health Information, Technology and Measurement work stream of the Rhode Island Quality Institute. The meeting agenda included reviewing themes from a previous meeting, providing updates on major health IT and measurement initiatives in Rhode Island, identifying priority technologies and functions to support payment reform, and making an initial identification of barriers and gaps. Major initiatives discussed included the state's health information exchange (CurrentCare), all-payer claims database, unified health infrastructure project, and a trailblazers action plan. Priority areas identified for supporting payment reform included improved data sharing and communication, timely claims and clinical data, standardized measures, and linking clinical and claims data. Barriers mentioned included legal issues, an evolving environment, and CurrentCare's
The document discusses the implementation of QlikView at Bassett Healthcare to improve surgical processes and utilization. Key points:
- Bassett Healthcare deployed QlikView to analyze data from multiple systems to improve on-time case starts from 48% to 85%, increase charge capture by 30%, and increase surgical throughput.
- QlikView provided self-service analytics capabilities without needing IT, allowing users to analyze data and gain insights into utilization and performance.
- The implementation helped greenlight a dedicated trauma room and staff an underutilized rural facility, improving access to care.
Producing Better and Affordable Healthcare Services Using Computational Intel...EMMAIntl
Computational Intelligence (CI) is one of the major pillars of Artificial Intelligence. It is the study, design, and development of intelligent software based on the theory of evolution. Within the past decade, healthcare has become expensive. Also, with the declining doctor-patient ratio, there are constant needs for computing systems for everything from executing simple tasks, such as booking appointments, to major services such as consulting and diagnosis...
Your EMR/EHR is implemented, what’s next?Sally Akers
This document discusses next steps for organizations after implementing an electronic health record (EHR) system. It outlines a three-phase approach:
1) Stabilize the EHR system in the near term by focusing on speed, reliability and user interface to allow clinicians to work efficiently.
2) Create a comprehensive health record in the mid-term by integrating all patient data into a single longitudinal record.
3) Continuously enhance care in the long term by using data to improve quality and efficiency of healthcare delivery.
The document also discusses enabling nationwide health information exchange and providing tools to optimize use of clinical data and evidence for decision-making.
This document discusses factors to consider when evaluating a clinical information system (CIS), including:
- Who is involved in choosing, implementing, and revising a CIS
- Factors to consider before implementing a CIS such as costs and failure rates
- How a CIS should be structured and updated
- Companies that design clinical decision support systems
- Security, access controls, and costs including implementation, support personnel, and purchasing options.
- How users should be educated on a system and updates through various learning methods.
Health care organizations need an efficient way to process and share care delivery information to increase productivity, deliver better quality care, save money and ensure compliance.
Louis Schwartz has over 23 years of experience leading IT organizations in healthcare settings. He currently works as a Solutions Consultant for Philips Healthcare, where he helps define project scopes and ensures smooth transitions between project phases. Prior to this role, he held several leadership positions within the US Army, including Health Information Systems Officer and Chief Information Officer, where he implemented electronic health records and oversaw IT departments. He has a track record of delivering projects on time and within budget while coaching teams to success.
Clinical information systems (CIS) integrate medical applications and technologies to collect, store, and analyze healthcare data to provide secure access for clinicians. A CIS includes electronic medical records, clinical decision support, and tools for training and research. Key benefits include easier access to patient data, improved searchability, enhanced safety, and data analysis. Nurses, physicians, administrators and other staff must be involved in selecting and implementing a CIS to ensure it meets clinical needs. The implementation process involves eight phases from planning to evaluation to ensure the system functions properly. Overall, a well-implemented CIS aims to make healthcare delivery and decision making more efficient, safer and higher quality.
This document summarizes a meeting of the Health Information, Technology and Measurement work stream of the Rhode Island Quality Institute. The meeting agenda included reviewing themes from a previous meeting, providing updates on major health IT and measurement initiatives in Rhode Island, identifying priority technologies and functions to support payment reform, and making an initial identification of barriers and gaps. Major initiatives discussed included the state's health information exchange (CurrentCare), all-payer claims database, unified health infrastructure project, and a trailblazers action plan. Priority areas identified for supporting payment reform included improved data sharing and communication, timely claims and clinical data, standardized measures, and linking clinical and claims data. Barriers mentioned included legal issues, an evolving environment, and CurrentCare's
The document discusses several key issues facing healthcare systems and how information technology can help address them. It identifies quality, safety, rising costs, and workforce issues as primary concerns. IT is presented as a way to help integrate care delivery, automate records, connect different parts of the system, implement evidence-based practices, and close information loops. However, past IT strategies are criticized for being fragmented and short-sighted. The document calls for developing long-term strategic IT plans that treat healthcare as an adaptive system and focus on priorities like eliminating errors, waste, and delays.
As a Chief Medical Information Officer, you must balance medical duties with growing IT responsibilities that impact quality of care. Current solutions like clinical data warehouses and EMRs have limitations and do not provide an enterprise-wide view. An enterprise data warehouse (EDW) can aggregate data on clinical, financial, operational, and research functions to empower informed decision making. The KnowledgeEdge EDW provides expanded access to business intelligence through a portal, enables timely insights from desktop, and includes pre-built tools to improve important metrics - bringing a rapid return on investment.
iHT2 Health IT Summit Boston 2013 – Chris Petteruti, Director of Technology Department, Kaiser Permanente – NCAL Case Study "Strategies for Minimizing Uncertainty and Downtime”
Learning Objectives:
∙ Eliminating clinician frustration during IT outages
∙ Improving employee communication with desktop messages
∙ Strategies to get the most out of your communication platform investment
Describes about Technology, health care trend, design converge to enhance patient care and rules for Smart Hospitals. For more information visit: http://www.transformhealth-it.org/
The document discusses key components of a Clinical Information System (CIS) including the Electronic Health Record (EHR). It describes the 8 components of an EHR, how clinical decision making systems work, considerations for safety, cost, and education. Clinical decision making systems use evidence-based practices and hierarchical approaches to determine diagnoses and treatment plans. Safety involves backing up data, protecting files from threats, and complying with privacy laws like HIPAA. Costs include purchasing, maintenance, training staff, and ongoing security and upgrades. Education of staff is important both initially and continuously as systems evolve.
Introducing The Next-Generation In Opportunity Analysis, Benchmarking, And Im...Health Catalyst
Aaron Neiderhiser, Product Manager at Health Catalyst is pleased to introduce Touchstone, benchmarking software that turns average users into world-class data analysts. Using artificial intelligence to identify opportunities hidden within an organization's clinical, cost accounting, and claims data, Touchstone proactively identifies where it is performing well and recommends areas of underperformance across the full continuum of care to users.
This document provides an overview of a healthcare information analytics course. It includes:
1. An introduction to the class and instructor with an overview of course materials, software requirements, and housekeeping items.
2. A review of current healthcare challenges around rising costs, quality of care, and system pressures to improve outcomes.
3. A history of the evolution of hospital information systems from the 1960s to present day, covering drivers in healthcare and IT and how they resulted in health information technology.
With Attune’s Business Intelligence Solution for Hospitals, by harmonizing your operations data from billing, cash, remittance, procurement to clinical performance, you can now monitor and forecast financial and operational performance more effectively. Mobile dashboards allow your executives to stay in touch with recent developments in the revenue cycle at all times.
This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment
Data management involves collecting, storing, and processing data to transform it into useful information. Ensuring data integrity is important to make appropriate decisions. Techniques to reduce errors include educating staff, system prompts, verification, data mining, and data cleansing. Nursing informatics involves managing nursing data and information to support patient care through roles like project manager, consultant, educator, researcher, and chief information officer.
The Healthcare Analytic Adoption Model outlines 8 levels of analytic maturity for healthcare organizations. Level 5 maturity involves using data-driven improvement to optimize clinical processes and outcomes. Reaching Level 5 requires a robust data governance function to achieve conditions like standardized controlled vocabularies, patient registries, and an enterprise data warehouse.
What is the hospital management system Features^J modules and applications.pdfPankaj Kumar
However, some issues, such as health care costs, personnel management, and facility management, require your attention because these matters take up a lot of your time. As a physician as a chief technician at any leading hospital, you need to address the above issues and find the best possible solution. That's not it? The solution is an advanced hospital information management system that streamlines clinical processes. It also overcomes staff inefficiencies at work and allows hospitals to function efficiently.
Levi Thatcher, Health Catalyst Director of Data Science and his team provide a live demonstration using healthcare.ai to implement a healthcare-specific machine learning model from data source to patient impact. Levi goes through a hands-on coding example while sharing his insights on the value of predictive analytics, the best path towards implementation, and avoiding common pitfalls. Frequently asked questions are answered during the session.
During the webinar, we will:
Describe and install healthcare.ai
Build and evaluate a machine learning model
Deploy interpretable predictions to SQL Server
Discuss the process of deploying into a live analytics environment.
If you’d like to follow along, you should download and install R and RStudio prior to the event. We look forward to you joining us!
This document is a presentation by Raymond Gensinger on data analytics in healthcare. It discusses examples of analytics used in baseball to improve performance, the different types of analytics including descriptive, predictive, and prescriptive. It also covers how analytics have evolved, organizational readiness for analytics, and key factors for analytics success including data, enterprise integration, leadership, targets, and having the right analysts. The presentation provides a framework for healthcare to apply analytics and examples of how different types of analytics could be used.
The document proposes a Medical Enquiry Database System (MEDS) to more efficiently manage the large number of medical enquiries received daily. Currently, enquiries are handled manually, which is time-consuming and inefficient. MEDS would involve developing a centralized database using Oracle and installing new PCs and a server to allow medical staff to quickly search for and respond to enquiries with standardized replies. The project is estimated to cost $50,000 and take 8 months to implement using an agile development process. MEDS is expected to improve efficiency, reduce costs, and provide analytical reports to benefit customers, the company, and users.
21st Century Act and its Impact on Healthcare ITCitiusTech
This document gives an overview, core objectives of the act and enumerates purpose of each part / division of the 21st Century Act. It lists down the sections of the act which have a direct impact on Healthcare IT and gives a brief overview of each section.This document also explains the impact of 21st Century Cures Act on regulatory bodies: FDA / NIH / HSS.
Big data in healthcare refers to large, diverse, and complex datasets that are difficult to analyze using traditional methods. The healthcare industry generates huge amounts of data from sources like electronic health records, medical imaging, and fitness trackers. Analyzing this big data can help improve patient outcomes, reduce costs, and advance personalized medicine. However, healthcare also faces challenges like data silos, privacy concerns, and resistance to change. Opportunities include disease prediction and prevention, reducing readmissions and fraud, and optimizing care through remote monitoring. Some organizations are starting to see benefits from big data initiatives focused on areas like evidence-based treatment and integrated health records.
Optimal Contrast Enhancement for Remote Sensing ImagesAM Publications
This paper presents an optimal contrast enhancement approach for remote sensing images based on dominant brightness
level analysis and adaptive intensity transformation for remote sensing images. The proposed system first perform discrete wavelet
transform (DWT) on the input images and then split the LL sub band into low-, middle-, and high-intensity layers using the logaverage
luminance. The knee transfer function and the gamma adjustment function based on the dominant brightness level of each
layer are used to compute the adaptive intensity transfer functions. Then a sparse representation technique is added to gain more
resolution. After this transformation, the resulting optimally contrast enhanced image is obtained by using the inverse DWT. The
various histogram equalization approaches proposed in the literature, degrade the overall quality of image by altering the saturation
in low- and high-intensity regions, and also will not give optimal contrast enhancement. The proposed algorithm overcomes this
problem by optimally enhancing the contrast and also the resolution of the input image. The proposed algorithm enhances the overall
contrast and visibility of local details better than existing techniques and also gives optimal contrast. The proposed method can
optimally enhance any low-contrast satellite images and are also suitable for other various imaging devices such as consumer digital cameras, photorealistic 3-D reconstruction systems, and computational cameras.
The document discusses several key issues facing healthcare systems and how information technology can help address them. It identifies quality, safety, rising costs, and workforce issues as primary concerns. IT is presented as a way to help integrate care delivery, automate records, connect different parts of the system, implement evidence-based practices, and close information loops. However, past IT strategies are criticized for being fragmented and short-sighted. The document calls for developing long-term strategic IT plans that treat healthcare as an adaptive system and focus on priorities like eliminating errors, waste, and delays.
As a Chief Medical Information Officer, you must balance medical duties with growing IT responsibilities that impact quality of care. Current solutions like clinical data warehouses and EMRs have limitations and do not provide an enterprise-wide view. An enterprise data warehouse (EDW) can aggregate data on clinical, financial, operational, and research functions to empower informed decision making. The KnowledgeEdge EDW provides expanded access to business intelligence through a portal, enables timely insights from desktop, and includes pre-built tools to improve important metrics - bringing a rapid return on investment.
iHT2 Health IT Summit Boston 2013 – Chris Petteruti, Director of Technology Department, Kaiser Permanente – NCAL Case Study "Strategies for Minimizing Uncertainty and Downtime”
Learning Objectives:
∙ Eliminating clinician frustration during IT outages
∙ Improving employee communication with desktop messages
∙ Strategies to get the most out of your communication platform investment
Describes about Technology, health care trend, design converge to enhance patient care and rules for Smart Hospitals. For more information visit: http://www.transformhealth-it.org/
The document discusses key components of a Clinical Information System (CIS) including the Electronic Health Record (EHR). It describes the 8 components of an EHR, how clinical decision making systems work, considerations for safety, cost, and education. Clinical decision making systems use evidence-based practices and hierarchical approaches to determine diagnoses and treatment plans. Safety involves backing up data, protecting files from threats, and complying with privacy laws like HIPAA. Costs include purchasing, maintenance, training staff, and ongoing security and upgrades. Education of staff is important both initially and continuously as systems evolve.
Introducing The Next-Generation In Opportunity Analysis, Benchmarking, And Im...Health Catalyst
Aaron Neiderhiser, Product Manager at Health Catalyst is pleased to introduce Touchstone, benchmarking software that turns average users into world-class data analysts. Using artificial intelligence to identify opportunities hidden within an organization's clinical, cost accounting, and claims data, Touchstone proactively identifies where it is performing well and recommends areas of underperformance across the full continuum of care to users.
This document provides an overview of a healthcare information analytics course. It includes:
1. An introduction to the class and instructor with an overview of course materials, software requirements, and housekeeping items.
2. A review of current healthcare challenges around rising costs, quality of care, and system pressures to improve outcomes.
3. A history of the evolution of hospital information systems from the 1960s to present day, covering drivers in healthcare and IT and how they resulted in health information technology.
With Attune’s Business Intelligence Solution for Hospitals, by harmonizing your operations data from billing, cash, remittance, procurement to clinical performance, you can now monitor and forecast financial and operational performance more effectively. Mobile dashboards allow your executives to stay in touch with recent developments in the revenue cycle at all times.
This webinar will focus on the technical and practical aspects of creating and deploying predictive analytics. We have seen an emerging need for predictive analytics across clinical, operational, and financial domains. One pitfall we’ve seen with predictive analytics is that while many people with access to free tools can develop predictive models, many organizations fail to provide a sufficient infrastructure in which the models are deployed in a consistent, reliable way and truly embedded into the analytics environment. We will survey techniques that are used to get better predictions at scale. This webinar won’t be an intense mathematical treatment of the latest predictive algorithms, but will rather be a guide for organizations that want to embed predictive analytics into their technical and operational workflows.
Topics will include:
Reducing the time it takes to develop a model
Automating model training and retraining
Feature engineering
Deploying the model in the analytics environment
Deploying the model in the clinical environment
Data management involves collecting, storing, and processing data to transform it into useful information. Ensuring data integrity is important to make appropriate decisions. Techniques to reduce errors include educating staff, system prompts, verification, data mining, and data cleansing. Nursing informatics involves managing nursing data and information to support patient care through roles like project manager, consultant, educator, researcher, and chief information officer.
The Healthcare Analytic Adoption Model outlines 8 levels of analytic maturity for healthcare organizations. Level 5 maturity involves using data-driven improvement to optimize clinical processes and outcomes. Reaching Level 5 requires a robust data governance function to achieve conditions like standardized controlled vocabularies, patient registries, and an enterprise data warehouse.
What is the hospital management system Features^J modules and applications.pdfPankaj Kumar
However, some issues, such as health care costs, personnel management, and facility management, require your attention because these matters take up a lot of your time. As a physician as a chief technician at any leading hospital, you need to address the above issues and find the best possible solution. That's not it? The solution is an advanced hospital information management system that streamlines clinical processes. It also overcomes staff inefficiencies at work and allows hospitals to function efficiently.
Levi Thatcher, Health Catalyst Director of Data Science and his team provide a live demonstration using healthcare.ai to implement a healthcare-specific machine learning model from data source to patient impact. Levi goes through a hands-on coding example while sharing his insights on the value of predictive analytics, the best path towards implementation, and avoiding common pitfalls. Frequently asked questions are answered during the session.
During the webinar, we will:
Describe and install healthcare.ai
Build and evaluate a machine learning model
Deploy interpretable predictions to SQL Server
Discuss the process of deploying into a live analytics environment.
If you’d like to follow along, you should download and install R and RStudio prior to the event. We look forward to you joining us!
This document is a presentation by Raymond Gensinger on data analytics in healthcare. It discusses examples of analytics used in baseball to improve performance, the different types of analytics including descriptive, predictive, and prescriptive. It also covers how analytics have evolved, organizational readiness for analytics, and key factors for analytics success including data, enterprise integration, leadership, targets, and having the right analysts. The presentation provides a framework for healthcare to apply analytics and examples of how different types of analytics could be used.
The document proposes a Medical Enquiry Database System (MEDS) to more efficiently manage the large number of medical enquiries received daily. Currently, enquiries are handled manually, which is time-consuming and inefficient. MEDS would involve developing a centralized database using Oracle and installing new PCs and a server to allow medical staff to quickly search for and respond to enquiries with standardized replies. The project is estimated to cost $50,000 and take 8 months to implement using an agile development process. MEDS is expected to improve efficiency, reduce costs, and provide analytical reports to benefit customers, the company, and users.
21st Century Act and its Impact on Healthcare ITCitiusTech
This document gives an overview, core objectives of the act and enumerates purpose of each part / division of the 21st Century Act. It lists down the sections of the act which have a direct impact on Healthcare IT and gives a brief overview of each section.This document also explains the impact of 21st Century Cures Act on regulatory bodies: FDA / NIH / HSS.
Big data in healthcare refers to large, diverse, and complex datasets that are difficult to analyze using traditional methods. The healthcare industry generates huge amounts of data from sources like electronic health records, medical imaging, and fitness trackers. Analyzing this big data can help improve patient outcomes, reduce costs, and advance personalized medicine. However, healthcare also faces challenges like data silos, privacy concerns, and resistance to change. Opportunities include disease prediction and prevention, reducing readmissions and fraud, and optimizing care through remote monitoring. Some organizations are starting to see benefits from big data initiatives focused on areas like evidence-based treatment and integrated health records.
Optimal Contrast Enhancement for Remote Sensing ImagesAM Publications
This paper presents an optimal contrast enhancement approach for remote sensing images based on dominant brightness
level analysis and adaptive intensity transformation for remote sensing images. The proposed system first perform discrete wavelet
transform (DWT) on the input images and then split the LL sub band into low-, middle-, and high-intensity layers using the logaverage
luminance. The knee transfer function and the gamma adjustment function based on the dominant brightness level of each
layer are used to compute the adaptive intensity transfer functions. Then a sparse representation technique is added to gain more
resolution. After this transformation, the resulting optimally contrast enhanced image is obtained by using the inverse DWT. The
various histogram equalization approaches proposed in the literature, degrade the overall quality of image by altering the saturation
in low- and high-intensity regions, and also will not give optimal contrast enhancement. The proposed algorithm overcomes this
problem by optimally enhancing the contrast and also the resolution of the input image. The proposed algorithm enhances the overall
contrast and visibility of local details better than existing techniques and also gives optimal contrast. The proposed method can
optimally enhance any low-contrast satellite images and are also suitable for other various imaging devices such as consumer digital cameras, photorealistic 3-D reconstruction systems, and computational cameras.
MIP AND UNSUPERVISED CLUSTERING FOR THE DETECTION OF BRAIN TUMOUR CELLSAM Publications
Image processing is widely used in biomedical applications. Image processing can be used to analyze
different MRI brain images in order to get the abnormality in the image .The objective is to extract meaningful
information from the imaged signals. Image segmentation is a process of partitioning an image in to different parts.
The division in to parts is often based on the characteristics of the pixels in the image. In our paper the segmentation
of the tumour tissues is carried out using k-means and fuzzy c-means clustering.Tumour can be found and faster
detection is achieved with only few seconds for execution. The input image of the brain is taken from the available
database and the presence of tumourin input image can be detected.
This document provides a compare and contrast analysis of the animated films Inside Out and Hotel Transylvania 2. Both films have main characters that portray protective and controlling traits - Joy from Inside Out leads Riley's emotions and Dracula runs Hotel Transylvania. The films also show the difficulties children face when adjusting to new environments and moving away from what's familiar. Finally, themes of loss are present as Joy fears losing Riley's happy memories and personality, while Dracula is scared of losing his grandson Dennis. Overall, the document analyzes similarities and differences between the two 2015 animated films.
The document describes a proposed youth art and innovation center for the F.A.T. Village art district community. It aims to give local children, who consider themselves artists, a place to explore and grow their art and technology skills within the dynamic community. The center would bring new ideas and younger minds to F.A.T. Village.
The document summarizes proposed enhancements to the Harbor Bridge Project in Corpus Christi, Texas. It describes enhancements that will improve mobility and connectivity to areas near the port, SEA district, and downtown, including an emphasis on bicycle and pedestrian access and aesthetic features. Specifically, it notes that the enhancements will eliminate six traffic signals to create free-flowing gateways, improve port and refinery access, and enhance the North Beach area with safer connections and a shared use path. The enhancements are part of an ongoing design-build process to achieve the best results for the community.
Personalizing Image Search from the Photo Sharing WebsitesAM Publications
Abstract: Increasingly developed social sharing websites, like Flickr and Youtube, allow users to create, share, and
annotate a comment Medias. The large-scale user-generated meta-data not only facilitate users in sharing and
organizing multimedia content, but provide useful information to improve media retrieval and management.
Personalized search serves as one of such examples where the web search experience is improved by generating the
returned list according to the modified user search intents. In this paper, we exploit the social annotations and
propose a novel framework simultaneously considering the user and query relevance to learn to personalized image
search. The basic premise is to embed the user preference and query-related search intent into user-specific topic
spaces. Since the users’ original annotation is too sparse for topic modeling, we need to enrich users’ annotation pool
before user-specific topic spaces construction.
The proposed framework contains two components:
1) A Ranking based Multi-correlation Tensor Factorization model is proposed to perform annotation prediction,
which is considered as users’ potential annotations for the images;
2) We introduce User-specific Topic Modeling to map the query relevance and user preference into the same userspecific
topic space. For performance evaluation, two resources involved with users’ social activities are employed.
Experiments on a large-scale Flickr dataset demonstrate the effectiveness of the proposed method.
Anton Antishin is a graphic designer from Kiev, Ukraine who received degrees in Economics and Computer Science as well as Design and Technology from Moscow Open Social University between 2003-2008. He has worked as a graphic designer for various companies in Kiev and Moscow, including his own firm Bright Design Lab between 2013-2015. Some of his areas of focus and skills include creative design, Cinema 4D, print design, and packaging design for industries like cosmetics, wine, coffee, and tea.
Developing evaluation framework for clinical information systems and incorpor...inderjyot singh
The report summarizes activities performed during the internship period under the Business Intelligence team at NSHA. It comparizes topics such as Evaluation frameworks for clinical information systems, change management required to implement organizational changes and data validation work done to improve the administrative data presented on business intelligence reports.
The author has uploaded this document to share the work done and highlight informatics based skills the author used in their job. This document can serve as the starting point for collaboration and mutual learnings for folks involved in healthcare analytics/ informatics arena. The author encourages the readers to connect through LinkedIn to discuss and facilitate co-learning/ career development opportunities.
Happy reading! :)
Prepare a 3-4 page, double-spaced paper (cite 3-4 reliable sources) .pdfarjuntiwari586
Prepare a 3-4 page, double-spaced paper (cite 3-4 reliable sources) that addresses the following
scenario: You are the Director of Continuing Care Services for St. Timothy’s Health Care
System, a multilevel system consisting of an array of acute and long-term services. You have
been given the task of developing an information system that will track clients over time and
place. The system will be used for clinical, financial, and management purposes. • What basic
components are essential to the system? • What challenges and barriers do you anticipate will be
encountered in planning and implementing the system? • What are the first steps you will take to
design the system? • What recent external developments enhance and impede your project?
Solution
Information System for Health Care System is very complex because it involves three important
factors like clinical ,financial and management purpose
1)Clinical Purpose like-It include results of blood lead screening of children under 5 years of
age,immunization status and encounter data recording the results of patients visiting for the test
of tuberculosis some have negative report others have positive ,if patient with positive report
then maintaining there data to monitor and record patient history and sexually transmitted
diseases
2)Financial Purpose-
I)Payroll: Handles all the recurring and non-recurring payments and deductions for employees.
All recurring transactions can be automatically generated each payroll period with non-recurring
transactions such as overtime added to the payroll upon approval. It is also possible to maintain
employee pay rates, entitlements, full salary movements and payroll histories.
II)Patient Accounting: This concentrates on financial transactions generated during a patient’s
visit to the hospital. These include inpatient and outpatient charges, doctors’ fees generated
across the hospital, the cost of procedures, operations and medications.
III)Accounts Payable: Handles the processing of invoices and payments within the hospital.
IV)Accounts Receivable: This provides support for and the maintenance of the records of all
clients, invoices and payments
3)Management Purpose-
c. Resource planning and control –
i. An online query facility for answering the number of queries on the availability, scheduling
and re – scheduling of the resources and the facilities.
ii. For judging the usage of the facilities and to put them in the proper use.
d. Medical case history database –
i. Knowledge database on the case history for the guidance and the research.
ii. Monitoring the effect of the drugs to judge the efficacy in terms of the patient’s response.
iii. Analyze the health care demand
The 5 components that must come together in order to produce a Information system are:
1.Hardware:The term hardware refers to machinery.This category includes the computer itself,
which is often referred to as the central processing unit (CPU), and all of its support equipments.
Among the suppor.
The strategic plan outlines key IT strategies for MD Anderson Cancer Center for fiscal year 2007 and beyond. It provides an overview of the vision, departments, budget, initiatives, issues, principles and recommendations for the Division of Information Services. The plan's goal is to inspire education, research and clinical services by providing secure and reliable data technologies to support the institution's mission.
Workflow Continuity—Moving Beyond Business Continuityin a Mu.docxambersalomon88660
Workflow Continuity—Moving Beyond Business Continuity
in a Multisite 24–7 Healthcare Organization
Brian J. Kolowitz & Gonzalo Romero Lauro &
Charles Barkey & Harry Black & Karen Light &
Christopher Deible
Published online: 6 July 2012
# Society for Imaging Informatics in Medicine 2012
Abstract As hospitals move towards providing in-house
24×7 services, there is an increasing need for information
systems to be available around the clock. This study inves-
tigates one organization’s need for a workflow continuity
solution that provides around the clock availability for in-
formation systems that do not provide highly available
services. The organization investigated is a large multifacil-
ity healthcare organization that consists of 20 hospitals and
more than 30 imaging centers. A case analysis approach was
used to investigate the organization’s efforts. The results
show an overall reduction in downtimes where radiologists
could not continue their normal workflow on the integrated
Picture Archiving and Communications System (PACS)
solution by 94 % from 2008 to 2011. The impact of un-
planned downtimes was reduced by 72 % while the impact
of planned downtimes was reduced by 99.66 % over the
same period. Additionally more than 98 h of radiologist
impact due to a PACS upgrade in 2008 was entirely elimi-
nated in 2011 utilizing the system created by the workflow
continuity approach. Workflow continuity differs from high
availability and business continuity in its design process and
available services. Workflow continuity only ensures that
critical workflows are available when the production system
is unavailable due to scheduled or unscheduled downtimes.
Workflow continuity works in conjunction with business
continuity and highly available system designs. The results
of this investigation revealed that this approach can add
significant value to organizations because impact on users
is minimized if not eliminated entirely.
Keywords Workflow continuity . Business continuity .
PACS planning . PACS integration . PACS downtime
procedures . PACS administration . PACS . PACS service .
Software design . Systems integration . Workflow .
Productivity . Management information systems .
Information system . Image retrieval . Health level 7 (HL7) .
Efficiency
Background
Recently, the US government mandated the use of health
information technology for healthcare providers [1]. The
legislation outlines financial penalties for providers that
choose not to adopt technologies as well as benefits for
those that do adopt the technologies. As the adoption of
health information technology increases, so will the need for
information systems that allow critical organizational work-
flows to continue when those systems are unavailable due to
either scheduled or unscheduled system downtimes.
This paper is a case analysis of one organization’s solu-
tion to a need for a system that provides workflow continu-
ity around the clock. Workflow continuity moves beyond.
vincentbarner_HI-560-Health Care Data Analysis_Unit-9_assignmentvincent barner
This proposal aims to gather and analyze data on the efficiency of medical kiosks in clinical environments. Key objectives are to use statistical analysis to compare kiosk services to clinician services, and to test the potential for kiosks to evolve towards full automation. The proposal outlines stakeholders, background on kiosk benefits and challenges, a literature review on patient preferences for technology vs in-person care, and proposes measures to analyze financial impacts, technology performance, and fulfill meaningful use objectives. The budget table provides an example of costs that could be requested to support the proposed research.
Governance relates to management, policies, procedures, and decisions for a given area of enterprise responsibility.Hence IT related assets should be governed in way that it will of profitability to the company in order to achieve its goals and objectives.
Design and Evaluation of Information Systems and Services: principles of designing information systems, strategies for Information system evaluation, Information Systems Effectiveness Measures.
System Implementation 17System Implement.docxmattinsonjanel
System Implementation 1
7
System Implementation
System Implementation
ABC health care centre is one of the top health care centres in San Francisco, California that provides medical assistance and health related knowledge to its patients. The health care centre has a total of 27 branches in the country with an overall staff of 350 doctors and 1000 other employees. The health centre excels in providing medical assistance to patients and has been ranked as number 1 health care centre in terms of services by the government organization. On an average, the health care centre serves a total of 5,500 patients in a single month throughout the country. The health care centre is experiencing a growth in its business recently and its manual methods of information storage are becoming obsolete and difficult to manage. Therefore, the management has realized that there is an urgent need to implement a digital system that can resolve the problems of the administration.
Data of the Health Care Centre
ABC health care centre has loads of data to take care of on regular basis. The list of information that is to be stored on the new system is given below:
· Patient details
· Patient medical history
· Appointments
· Inventory
· Financial management
· Human resource management
· Employee information
The new system
The new system appropriate for the ABC health care centre has been identified i.e. an ERP business suite along with a centralized data storage server. ERP business suites are software that integrate various operational modules in one software and manage all the working and operation of an organisation in it. The ERP business suite will help the health care centre to store all the information listed above using a single software. A centralized storage server, along with an ERP business suite, will allow the ABC health care centre to store all the information & data and will allow the employees to access the data from anywhere in the organisation after providing proper authentication on the server. (Stango, 2013)
The advantages of the chosen digital system to the health care system are:
· It will make creating, storage and accessing of data easier.
· It will save the health care organisation a lot of money as it will have to buy only one software to manage all its operation.
· ERP software are flexible and can be tailored according to the need of the company. This will allow the health care organisation to get a professionally developed software that will be in accordance of the health care’s needs.
· ERP software are highly user friendly. This will allow the company to reduce its overall cost of implementation as there will be no requirement for professional staff to operate the new system.
· ERP software are widely used because of their security measure that makes compromising of information and data impossible.
· The employees of the health care centre can undergo training, under hired professionals, to get introduced to the new syst ...
Louis Schwartz is an experienced IT leader in healthcare with over 25 years of experience. He currently works as a Senior Solutions Consultant at Philips Healthcare, where he helps clients uncover requirements, assess solutions, and transition projects to implementation. Previously he held IT leadership roles in the US Army, managing health information systems for military medical facilities around the world. He has a Master's degree and certifications in healthcare IT, project management, and process improvement.
The document discusses key challenges in implementing information technology across various functional areas of business. It provides an overview of common business functional areas such as sales, marketing, finance, human resources, and administration. It then outlines several challenges managers face in implementing IT, such as increasing costs, reliability concerns, integrating digital and non-digital systems, and meeting high customer expectations. The document also discusses controls and procedures that can help secure information systems, as well as other issues like globalization, excessive workloads, talent shortages, rapid technological change, and ensuring on-time and quality project delivery.
Optimizing the value of digital data in the life sciencesSollers College
In life sciences organizations, digital transformation involves enacting cutting-edge technologies and electronic platforms to improve procedures and make choices. The need for data digitization may vary depending on the drug’s life cycle stage.
Highly-organized, versatile professional with demonstrated experience in Electronic Medical Records administration, training and support, customer service, project management, help desk management, asset and vendor management.
Barbara Gurskey has over 20 years of experience in electronic medical records administration, training, and support. She has implemented and supported various EMR systems like Athena Health, Greenway PrimeSuite, and Salesforce. She is highly organized with a proven track record of managing teams and clients. Her experience includes roles like clinical application analyst, customer service manager, and help desk manager.
Parna Das' paper discusses hospital information systems. It begins with an introduction explaining that hospital information systems are used to manage patient data and hospital operations. It then covers objectives like centralized patient management; functions like online appointments and payments; hardware and software requirements; and classifications by functional area and management level. The paper references sources on hospital information systems and acknowledges help from teachers.
The audit will review UNCCG's enterprise data warehouse platform over several phases:
1) A mobilization phase to develop audit plans and interview lists.
2) An execution phase to conduct interviews, review documents, and test controls.
3) A reporting phase to draft and finalize audit reports with findings and recommendations.
The audit will focus on data warehouse management, operations, and business integration, and assess risks relating to regulatory compliance, privacy, vendor access, and system availability. Regular communication with management will be maintained throughout the engagement.
The document describes the development of a dashboard to measure the impact of Innovation Units at Massachusetts General Hospital. It outlines the dashboard development process, including selecting metrics, collecting data from various sources, and using visual displays and benchmarks to show performance over time. The goal is to use data to drive improvement through testing changes and spreading improvements. Sample metrics in the dashboard include falls, pressure ulcers, central line infections, and patient and staff satisfaction measures.
This document provides information about quality management system models, including definitions of key terms, tools and strategies for quality management. It discusses data quality management and measurement, and the importance of data governance in healthcare. Quality management tools described include check sheets, control charts, Pareto charts, scatter plots, and Ishikawa diagrams. The document emphasizes the role of accurate, high-quality data and the need for rigorous data quality practices in healthcare.
1) IT planning is an essential management competency for organizations to ensure their technology capabilities are well-positioned to support operations. The IT life cycle includes elements like planning, selection, implementation, support and eventual retirement of systems.
2) Effective IT planning follows a structured process and considers the organization's strategy, generates ideas for initiatives, prioritizes projects, and ensures necessary infrastructure. Planning horizons vary but are often 3-5 years with annual refreshers.
3) When implementing an electronic health record (EHR), a multi-year plan is necessary since components build upon each other incrementally to enhance clinical capabilities over time, as reflected in models like HIMSS Analytics' EMR Adoption Model
Similar to HCS 533 Week 6 Administrative Structure Power Point (20)
STR 581 PP Strategic Plan and Implementation ProposalJulie Bentley
The document outlines CB&I's strategic plan to diversify into new business areas through conglomerate diversification. It discusses CB&I's current strategies of operational excellence, customer intimacy, and product leadership. The strategic plan proposes expanding into 4 new projects in the Middle East and maintaining Japanese infrastructure. It provides financial projections of a $2 billion loan over 15 years to fund staffing, equipment, legal fees, and transportation. Key goals include improving safety, quality, and reducing delays and turnover over 1-5 years to strengthen CB&I's position as an energy infrastructure leader globally.
STR 581 Week 6 Individual Strategic Plan and PresentationJulie Bentley
Chicago Bridge & Iron (CB&I) is a global energy infrastructure company founded in 1889. It seeks to diversify into conglomerates by acquiring other businesses to increase profits and resources. CB&I will introduce new storage tank products in the Middle East and work on Japan's water infrastructure. It will evaluate the strategic change through milestones like internal implementation by June 2015 and external expansion assessments every 3 months.
Comparative and Ratio Analysis - Macy'sJulie Bentley
This document provides a comparative and ratio analysis of the department store Macy's. It discusses Macy's history and financial performance from 2010 to 2012. The analysis finds that Macy's liquidity and current ratios increased over this period, while its profitability ratio of gross margin remained steady at 40%. Overall, the ratio analysis indicates Macy's has made business decisions that have increased its financial effectiveness and sustainability over time.
Proposal for an Effective Model for Dismissal SummariesJulie Bentley
The current system for discharge summaries in the cardiology department is inefficient and leads to errors. Under the current system, sole responsibility lies with the Cardiology Services RN, but a dynamic patient case cannot be fully tracked by a single member.
The presentation recommends adopting a shared responsibility model where the entire cardiology team, including physicians, nurses, and nurse practitioners, are all responsible for the discharge summary. This eliminates finger-pointing since all are accountable, and fixes can be made without looking to blame others. It also promotes a more collaborative team approach.
HCS 545 Influence of Individual Ethics on Decision MakingJulie Bentley
The document discusses how individual ethics can influence decision making for healthcare executives. It examines how completing an ethics self-assessment from the American College of Healthcare Executives (ACHE) helped the author recognize strengths and areas of improvement in their own ethical decision making. The ACHE's ethical standards help provide guidance on issues related to responsibility to patients, employees, and other stakeholders. The author explains how their personal ethics, which emphasize patient autonomy, nonmaleficence, and beneficence, align with ACHE's principles. Strategies are presented for continuously improving ethical decision making, such as maintaining an ethics department, addressing conflicts of interest, and participating in educational programs.
HCS 545 Individual Healthcare Law and RegulationJulie Bentley
This document summarizes the role of governmental regulatory agencies in licensing healthcare professionals and the impact of licensure laws. It provides four examples of state medical licenses being revoked for various ethical violations. The revocations impacted patients, physicians' practices, and healthcare facilities. The author observed how licensure requirements affected patient care as a hospital employee, such as students needing supervision. Strict licensure ensures patient safety and is important for quality healthcare.
HCS 545 Ethical Health Care Issues with Biomedical Research Week 2Julie Bentley
This document discusses ethical issues in biomedical research. It provides an overview of the Belmont Report which outlines ethical principles for research involving human subjects. The three main principles discussed are respect for persons (autonomy), beneficence (do no harm), and justice. Autonomy requires informed consent from research participants. Beneficence means minimizing risks and maximizing benefits. Justice means treating all people in a fair and equal manner. The document also discusses cases where these principles were violated, such as research conducted on indigenous communities without proper consent.
The document proposes introducing a new transportation option called the RYNO bike. It would provide an alternative to automobiles for individual travel over short distances. The RYNO bike uses motion sensors and body mechanics to steer and costs about a penny per mile to operate, much cheaper than driving. Introducing this new option could change transportation patterns and business structures. The proposal includes pricing the RYNO bike at $5,295 and budgeting $500,000 for initial advertising to build awareness of the new product.
HCS 533 Week 6 Administrative Structure Power Point
1. HCS/533
Julie Bentley
July 20, 2015
Jane Ferraris
Administrative Structure For
Clinical Documentation- How
Data is Captured
2. Impact on the Delivery of Health
Care
• Helps the initiative of the National Health Service to be
“paperless before 2018 (Carlisle, 2013).
• Allows the administrative data to be used for benchmarking
and used as Evidence based decision strategic support for
competitive comparison among health care facilities and
outpatient health care needs (Wager, 2013).
• ICD-10-CM and ICD-10-PCS codes are captured and then sent to
Accounting and Billing using new innovative “Accu-Sure”
technology using accurate billing for accurate disease process
captured in clinical documentation.
• Reimbursement approvals and denials evaluated with
administration.
• Quality and value measurement assessment for improved
patient care.
3. 1. Sets Vision and Strategy
2. Integrates information technology for business success.
3. Makes change happen
4. Builds technological confidence.
5. Partners with customers.
6. Ensures information technology talent.
7. Builds networks and community (CHIME, 2008)
Impact of Future Evolutions
4. The Administrative Safeguards section of The Final Rule of HIPAA
Security Rule has nine (9) standards which are listed below and will have
implications on the data capturing of Shaw Heart Center.
1. Security Management Functions - (Risk Analysis, Risk Management,
Sanction Policies, Information System Activity Reviews by IT and
Security Department)
2. Assigned Security Responsibility – The Chief Engineer identifies
individual responsible for overseeing security policies and procedures.
3. Workforce Security – employee’s have access and non-employee’s
have no access (Authorization and/or supervision, workforce
clearance procedure, termination procedure for loss of job) (Wager,
2013).
Implications of Privacy and Security
Management on Administrative Structures
5. 4. Information Access Management – authorizes access to health care
clearinghouses, and health care organizations (Access organization, Access
establishment and modification).
5. Security awareness and training – implementation of awareness and
training programs for all members of workforce.
6. Security Incident Reporting – implementation of policies and procedures
to address security incidents.
7. Contingency Plans – Data Backup, Disaster Recovery Plan, Emergency
Mode Operational Plan, Testing and Revision Procedures, Applications
and data criticality analysis.
8. Evaluation – Periodic performance of technical and nontechnical
evaluations in response to changes.
9. Business Associate Contracts and other Arrangements – formal
agreement needed.
Implications of Privacy and Security Management on
Administrative Structures - Part 2
6. 1. Planning and Analysis - exam current problems, organizational
strategy, identify opportunity for improvement (Wager, 2013).
2. Design - evaluation of alternative solutions to address what is
needed, cost-benefit analysis done, system is selected, vendor
negotiations finalized, built-in-house system plans finalized
(Wager, 2013).
3. Implementation – significant allocation of resources for training of
staff, converting data, preparation for go-live date (Wager, 2013).
4. Support and Evaluate - longest phase of life cycle. Sufficient
resources needed, glitches fixed, and upgrades determined (Wager,
2013).
Steps in the System Development Life Cycle of
the Administrative Structure (SDLC)
7. • Training will occur with 2-3 Super-Users per Department which will
happen 6 months prior to Go-live date of February 2016. These Super-
Users will be staff from the Department that has expressed an interest
in learning the new administrative information technology system, and
who wish to be a resource for staff in the department. Suggestion is a
1.0 FTE employee.
• Training will then be provided at the facility with a training pool. Page
for access before, during, and after Go-Live Date of February 1, 2016.
• Training Dates: September 1-30, 2015 – 6 months prior
October 1-20, 2015 – 5 months prior
December 1-17, 2015 – 3 months prior
January 10, 20, 2016 - 1 month prior
February – all month long – Go-Live Date -everyday
assistance. (ext.4500)
Training of the Staff
8. 1. Information Technology Department and IT Staff – weekly, monthly,
then progressing to every 3-6 months, then yearly.
2. Software Updates and Upgrades – monthly, and every 6 months.
3. Hardware Upgrades – Price allotment per Department on yearly
report. Upgrades and purchase from this yearly Department
allotment.
4. Personnel and Staff - maintenance and continued IT training for staff
when issues arise for 100% use for Departments on weekly and
monthly reports.
Maintenance Components
9. The Data from the Administrative Structure is used for:
• Evidence Based Research for continued improvement.
• Administrative Structure Progression
• Creation and Innovation of proper ICD-10 coding and
reimbursement for Health Care Facility.
• Creation of Decision Support for Clinicians at Point-of-care.
• Research and Development at Educational Medical Facilities.
How Is the Data Used ?
10. • Reimbursement is within 30-60 days of receipt of bill.
• Parameters chosen that reflect the measure of the customer
encounter and value of care (on-line or mail questionairre).
• Provision of electronic copy of health information to patient.
• CPOE (Computer Physician Order Entry) is established and integrated
inpatient and outpatient.
• Ensuring privacy and security of personal health information.
• Improvement of population and public health in city where health
services are rendered.
• Clinical diagnosis is within 12 hours of inpatient admission and within
18 hours of outpatient visits. (This will allow automatic billing and
reimbursement to fit ICD-10 codes)
How Can the Quality Be Assured
11. Four measurement tools to evaluate Administrative
Structure Analysis:
1. Net Present Value – cash generated or saved in next
3 years over initial IT investment (Wager, 2013).
2. Internal Rate of Return – At present value of IT
system investment what percentage am I receiving
back? (Wager, 2013)
3. Reimbursement denials decreased by 90%.
4. 100% compliance on CPOE diagnosis entries from
all providers.
Evaluation of Effectiveness
12. Currently at this time Hardware is being changed
and updated to accommodate the new
Administrative Structure Data Capturing Tool for
the capture of the Clinical Documentation
Diagnosis. These will continue to be evaluated so
the hardware is compatible and updated.
Please contact the IT department at ext. 8600 for
hardware and software updates. Email’s will be
sent to the unit managers for continued
communication.
Hardware Issues
14. Carlisle, D. (2013). Time for Tech to Grow Up. The Health Service Journal. 123(6368) Suppl. 6-7. Retrieved from http://
search.proquest.com/docview/1492870405?accountid=35812
Mihalas, G. I. (2014, February). Evolution of Trends in European Medical Informatics. ACTA INFORM MED, 22(1), 37-43.
10.5455/aim2014.22.37-43
Reddy, M., Pratt, W., & Dourish, M. (2011, May). Special Issue on Supporting Collaboration in Healthcare Settings: The
Role of Informatics. International Journal of Medical Informatics, 42(80), 541-543. Retrieved from http://www.ijmijornal.
com
Wager, K.A., Lee, F.W., & Glaser, J.P. (2013) Health Care Information Systems: A Practical Approach for Health Care
Management (3ed ed.). San Francisco, CA: Jossey-Bass.
References
Editor's Notes
Speaker Notes:
When speaking look at Board and Director, introduce with a smile on your face while saying the topic “Administrative Structure for Clinical Documentation – How Data is captured.” The opening slide shows two individuals as they are working hard to build and implement something that will work well for the hospital or outpatient setting that the customer desires to implement. While looking at the Board and the Director, each member individually, state the following from HCS/533 Week 3 Individual Paper which states – “as technology changes occur on a daily basis, and clinical technology advances as implemented in health care domestically and internationally, administrative structures that work well for both outpatient and inpatient are important for the quality and value associated with health care today. Clinical coordination of the administrative structures and the analysis of the usage patterns are a way for the administrative strategic team to choose what works best in their health care culture and the environment. The Power Point presentation looks at the impact on the delivery of health care, future evolutions of administrative structure for clinical documentation, implications of privacy and security management, identification of the steps in the system development life cycle as pictured above, training that will be provided for the administrative structure to be implemented, maintenance components that are necessary, how can the quality of data be assured, and evaluation of effectiveness and hardware issues. We will start as we look at the next slide that discusses the impact of the administrative structure for clinical documentation.
Speaker Notes: The impact on the delivery of Health Care using the administrative structure for clinical coordination and analysis of usage patterns are seen with the national statement that Carlisle (2013) stated when National Health Service stated that they desired to be “paperless” by the year 2018. When the data storage is deposited at midnight every night at the data repository for easy retrieval, it allows administration to obtain at any time with the proper security and maintenance the data they need for continued evidence-based support for organization decisions and strategic management for implementation of newer software, or more efficiency with the workflow process inpatient or outpatient (Wager, 2013).
Also, direct capture of data through the electronic documentation of the disease process is done through the newly bought “Accu-Sure” technology program that captures data, sends it to the Accounting and Billing Departments, and then processed through automatic mailing to Medicare, Medicaid, or private insurer. This new innovative software called “Accu-Sure” has enable quick turn around times for receipt, and reimbursement from Medicare, Medicaid, or private health care insurer.
Reimbursement approvals and denials are evaluated and reported to administration every 30 days. Quality and value measurement evaluation is monitored and reported to the appropriate inpatient and outpatient areas.
With the higher cost of the “Accu-Sure” technology and the maintenance and updates, the cost will be made within 3-5 years with projected numbers that the Chief Financial Officer will supply at the end of the presentation.
Speaker Notes:
Look at the Board and say “with the administrative structure for clinical coordination and analysis of the usage patterns at Shaw Heart Hospital, we see that with the capturing of data that there will be impact of future evolutions inpatient and outpatient. In 1998, and 2008, the College of Healthcare Information Management chronicled the evolution of health care and how information technology and having expertise in the IT Department leads to the above mentioned impacts on the organization internally and externally (CHIMA, 2008, Reddy, 2011)
Speaker Notes:
The implications of privacy and security management on Administrative Structures starts with threats that include human, natural and environmental, and technology threats. The HIPAA Security Rule from 2003 instructs security and Information Technology Departments about the nine different standards how the security should look and work in administrative structures. Let us review each of the nine standards with an update on HITECH expansion and ending with administrative safeguards for the information technology security system (Wager, 2013). We will read them on the slide for your individual understanding. A printout will be at the back table at the end of the presentation for you to take to your departments and offices.
Speaker Notes:
This is the continued list of the nine standards of the HIPAA Security Rule of 2003 (Wager, 2013). Administrative Safeguards listed in the nine HIPAA Security Rule Standards are 1) risk analysis and management, 2) Chief Security Officer, 3) System Security Evaluation, and 4) Contingency, Business Continuity, and disaster recovery planning (Wager, 2013, p. 363).
Speaker Notes:
Many of the system development life cycle depends on the four stages listed above with variations of this life cycle found in other diagrams, books, and literature. The first phase is called Planning and Analysis and is the primary focus of system development. During this phase it is important to examine current systems and problems in order to identify opportunities for improvement of the administrative structure system (Wager, 2013). Assessment of the feasibility of the new system with analysis of technology, financially, and operation base is important to see if this is the direction that the inpatient or outpatient facility wishes to pursue.
The second step is Design – whether by Vendor or built-in-house. This will help the facility achieve it’s needs for the workflow process and will encourage adoption once the go-live date happens. Happy users make for good profitability and building of a value system that all people can see.
The third step is called implementation. The implementation phase requires significant allocation of resources in completing tasks such as conducting work-flow and process analysis, installing the new system, testing the system, training staff, converting data, and preparation of staff and facility for the go-live date of the new system (Wager, 2013, p. 213).
The fourth step is support and evaluation phase. This is the longest step and constant. This is the step when sufficient resources which includes people, technology, infrastructure, and upgrades need to be allocated to maintain and support the new system. Support costs during this phase vary widely from system to system, but in most industries up to 80% of the information system budget is spent on maintanance of the system (Wager, 2013, p. 213).
“Health care executives and boards want to know the value of the IT investment, thus the degree to which the new system has achieved its goals and objectives should be assessed because the system will be replaced and the SDLC process begins again.
Speaker Notes:
We will review the Dates on the slide that show how the training process will proceed during the implementation/transition phase to Go-Live Date of February 1, 2016. Information Technology Department will be contacting the managers of the different departments for staff learning in the computer lab, and will have test patients for clinical documentation and how to adjust the records with automatic downloading to billing and ICD-10 coding accounting departments.
Speaker Notes:
Maintenance Components are needed for any information technology system especially when the automatic downloading of patient diagnosis whether inpatient or outpatient is needed for accounting and billing purposes. European medical informatics has published a report internationally that with the new telemedicine and “telematics” as was coined in Europe that there is a strong synergy between telecommunication and informatics (Mihalas, 2014). The upgrades and constant daily and weekly maintenance of these systems uses expertise, scientists, engineers, and physicists to get what the health care industry wants and needs making it something that is of value in the domestic and International world today. Maintenance components are a huge resource for the information system department and making sure that the equipment used at the facility is in top-notch shape makes investment worth the time and effort to ensure it’s continued survival.
Speaker Notes:
The data is used for evidence based research for continued improvement for goals and strategic management of the health care facility, administrative structure progression as technological advances continue, creation and innovation of proper ICD-10 coding for reimbursement issues for health care facility to meet standards of Centers for Medicare and Medicaid and private insurers, and creates a decision support for clinicians at the point-of-care, and for educational medical facilities, it continues research and development of advanced technology initiatives that may be used in the next 5-10 years (Carlisle, 2013, Reddy, 2011)
Speaker Notes:
Quality is what is needed in today’s health care environment world. Domestically and internationally quality is foremost in health care users minds. Quality of information systems and administrative structures is of upmost importance because of reimbursement for health services in the United States, and in Europe (Mihalas, 2014). Let us look at what is listed above as we established how quality can be assured at Shaw Heart Center and at the health care service providers in the world.
Speaker Notes:
The evaluation of effectiveness is calculated by the four measures above for this year. These will be re-evaluated with the yearly Board meeting in compliance with the IT department and Security Department. Let us look at each one written above, and talk about what this means in your facilities for this year. Look at Board.
I will read this slide to the Board and presentation committee. Printed handouts of the presentation slides will be available at the table at the exits after the conclusion of the meeting with contact names and numbers.
Ask the Board if there are any questions and remind them that there are hand-outs as they leave to take back to their desks and departments. Emails will follow the presentation and questions can be answered there also.