Southwestern Hospital requires implementation of a new electronic health records (EHR) system to replace their outdated current system. A consulting team recommends purchasing the Allscripts off-the-shelf EHR product due to its low upfront costs, flexibility, and ease of use. Allscripts would streamline processes, enhance patient record tracking, and optimize efficiency at the hospital. It is designed for mid-sized hospitals like Southwestern and has a short implementation timeline. The recommendation addresses costs, benefits, risks and mitigation strategies of both in-house and off-the-shelf options. Allscripts is shown to successfully address Southwestern's needs while mitigating common implementation risks.
Scenario:
Midwest Regional Health is one of Wisconsin's largest and most sophisticated hospitals, is Implementing a new EHR system that will better their services to their internal and external customers. They are asking ITMC (I-Tech Medical Consortium) to help them navigate through this long term project, thereby improving their commitment to their surrounding community.
HIS EHR Assessment Framework has come out of my doing HIS EHR Assessments again and again over the past 2 decades across North America, Germany, GCC, Indonesia and India. It is a Heuristic check that tells me the breadth and depth of the HIS EHR system in question. I have Excel checklists to support this framework. Though it is not an exhaustive checklist covering everything out there in the field of HIS EHR. Sharing it here for my fellows. Feel free to use it. Just pass the credits back to me with every use. Give me feedback to enhance and improve it further. Knowledge is the only form of power that grows by using it.
Scenario:
Midwest Regional Health is one of Wisconsin's largest and most sophisticated hospitals, is Implementing a new EHR system that will better their services to their internal and external customers. They are asking ITMC (I-Tech Medical Consortium) to help them navigate through this long term project, thereby improving their commitment to their surrounding community.
HIS EHR Assessment Framework has come out of my doing HIS EHR Assessments again and again over the past 2 decades across North America, Germany, GCC, Indonesia and India. It is a Heuristic check that tells me the breadth and depth of the HIS EHR system in question. I have Excel checklists to support this framework. Though it is not an exhaustive checklist covering everything out there in the field of HIS EHR. Sharing it here for my fellows. Feel free to use it. Just pass the credits back to me with every use. Give me feedback to enhance and improve it further. Knowledge is the only form of power that grows by using it.
Late Binding: The New Standard For Data WarehousingHealth Catalyst
Join Dale Sanders as he explains the concepts behind the Late-Binding (TM) Data Warehouse for healthcare. In this webinar, Dale covers 5 main concepts including 1) The history and concept of "binding" in software and data engineering, 2) Examples of data binding in healthcare, 3) the two tests for early binding (comprehensive and persistent agreement), 4) the six points of binding in data warehouse design (including a comparison of data modeling and late binding), and 5) the importance of binding in analytic progressions (including the eight levels of analytic adoption in healthcare).
HySynth Clinical Data Repository is used for storing, integrating ,managing and reporting on clinical studies.
It enables pooling of clinical and nonclinical data from multiple sources into a single environment. Better regulatory compliance with comprehensive security, an audit trail, and traceability, More-informed decision-making through pooling and analysis of clinical and nonclinical data
CDR has been developed to revolutionize ability to:
- Address complex health authority questions quickly and completely
- Produce CDISC compliant submissions
- Review safety data in real-time, mine our overall database for scientific and commercial queries
At HySynth provide,
- Business case development and cost analysis
- Requirements and design management
- Best practice analysis and recommendations
- Installation and configuration
- Oracle CDA and LSH pilots and proofs of concept
- Hosting
- Oracle CDA and LSH implementation
- CDA and LSH validation
- CDA and LSH training
- CDA and LSH extension development
LST on the following applications
- Argus Safety Suite
- Oracle Clinical / Remote Data Capture (RDC) /
- Thesaurus Management System (TMS)
- Oracle Inform EDC / Central Designer / Central Coding
- Life Sciences Data Hub (LSH)
- Oracle Data Management Workbench (DMW)
- Oracle Clinical Development Analytics (CDA)
- Adverse Event Reporting System (AERS)
- SAS
Healthcare Business Intelligence for Power UsersPerficient, Inc.
The Healthcare industry is accustomed to volumes of clinical and administrative data. Business intelligence helps convert these large amounts of data into actionable insights to reduce costs, streamline processes, and improve healthcare delivery. Our first webinar, “An Introduction to Business Intelligence for Healthcare,” introduces business intelligence in healthcare and common concepts.
In the second of this series of two webinars, Health BI Practice Manager, Mike Jenkins addresses:
- The BI Maturity Level
- Examples of Levels 3 and 4
- Attaining Level 5
Keeping up with tech trends can be difficult, especially when it comes to healthcare — an industry that’s fast-evolving, notoriously complex, and shouldering an ever higher demand — but it is crucial.
Here’s an overview of the tech trends that are having the greatest impact on small to mid-sized practices, along with input from Staples Business Advantage Director of Healthcare Technology, James Clarke, on the importance of keeping pace.
From remote patient monitoring to antimicrobial devices, discover the technology that’s helping practices meet a wider range of patient needs, boost efficiency and improve the overall quality of care for patients.
Late Binding in Data Warehouses: Desiging for Analytic AgilityHealth Catalyst
Listen to Part 2 of the Late-Binding (TM) Data Warehouse webinar, a separate webinar focused on answering detailed follow-up questions generated from the first Late-Binding (TM) Data Warehouse webinar.
A seminar topic which was created for the first time easy to understand and easy to explain.
any queries related to this topic can ask to me. and be free to connect to me.
to connect me to fb search mykeel vineeth thelakat.
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!
How Northwestern Medicine is Leveraging Epic to Enable Value-Based CarePerficient, Inc.
Value-based care and payment reform are prompting hospitals and healthcare providers to more closely manage population health. Hospitals and health systems rely on technology and data to outline the characteristics of their population and identify high-risk patients in order to manage chronic diseases and deliver enhanced preventative care.
Our webinar covered how Cadence Health, now part of Northwestern Medicine, is leveraging the native capabilities of Epic to manage their population health initiatives and value-based care relationships across the continuum of care.
Our speakers:
-Analyzed how Epic’s Healthy Planet and Cogito platforms can be used to manage value-based care initiatives.
-Examined the three steps for effective population health management: Collect data, analyze data and engage with patients.
-Covered how access to analytics allows physicians at Northwestern Medicine to deliver enhanced preventive care and better manage chronic diseases.
-Discussed Northwestern Medicine’s strategy to integrate data from Epic and other data sources.
This blog will help you How ERP Software is important for hospital management system. ERP software in a healthcare system will invigorate some key aspects of a hospital.
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
Strategic Options for Analytics in HealthcareDale Sanders
There are essentially four analytic strategies available in the healthcare IT market at present. This slide summarizes those options, the pros and cons, and vendors in the space.
Connected Healthcare - New PerspectiveSomenath Nag
An IDC source says, the healthcare industry is one of the highest-ranked industries for year-over-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for FY12 in software.
There has been a significant investment in the form of health modernization and stimulus funding to leverage technology to cut down rising healthcare costs.
This presentation discusses the concepts of connected healthcare and how it will change the Healthcare Industry.
Late Binding: The New Standard For Data WarehousingHealth Catalyst
Join Dale Sanders as he explains the concepts behind the Late-Binding (TM) Data Warehouse for healthcare. In this webinar, Dale covers 5 main concepts including 1) The history and concept of "binding" in software and data engineering, 2) Examples of data binding in healthcare, 3) the two tests for early binding (comprehensive and persistent agreement), 4) the six points of binding in data warehouse design (including a comparison of data modeling and late binding), and 5) the importance of binding in analytic progressions (including the eight levels of analytic adoption in healthcare).
HySynth Clinical Data Repository is used for storing, integrating ,managing and reporting on clinical studies.
It enables pooling of clinical and nonclinical data from multiple sources into a single environment. Better regulatory compliance with comprehensive security, an audit trail, and traceability, More-informed decision-making through pooling and analysis of clinical and nonclinical data
CDR has been developed to revolutionize ability to:
- Address complex health authority questions quickly and completely
- Produce CDISC compliant submissions
- Review safety data in real-time, mine our overall database for scientific and commercial queries
At HySynth provide,
- Business case development and cost analysis
- Requirements and design management
- Best practice analysis and recommendations
- Installation and configuration
- Oracle CDA and LSH pilots and proofs of concept
- Hosting
- Oracle CDA and LSH implementation
- CDA and LSH validation
- CDA and LSH training
- CDA and LSH extension development
LST on the following applications
- Argus Safety Suite
- Oracle Clinical / Remote Data Capture (RDC) /
- Thesaurus Management System (TMS)
- Oracle Inform EDC / Central Designer / Central Coding
- Life Sciences Data Hub (LSH)
- Oracle Data Management Workbench (DMW)
- Oracle Clinical Development Analytics (CDA)
- Adverse Event Reporting System (AERS)
- SAS
Healthcare Business Intelligence for Power UsersPerficient, Inc.
The Healthcare industry is accustomed to volumes of clinical and administrative data. Business intelligence helps convert these large amounts of data into actionable insights to reduce costs, streamline processes, and improve healthcare delivery. Our first webinar, “An Introduction to Business Intelligence for Healthcare,” introduces business intelligence in healthcare and common concepts.
In the second of this series of two webinars, Health BI Practice Manager, Mike Jenkins addresses:
- The BI Maturity Level
- Examples of Levels 3 and 4
- Attaining Level 5
Keeping up with tech trends can be difficult, especially when it comes to healthcare — an industry that’s fast-evolving, notoriously complex, and shouldering an ever higher demand — but it is crucial.
Here’s an overview of the tech trends that are having the greatest impact on small to mid-sized practices, along with input from Staples Business Advantage Director of Healthcare Technology, James Clarke, on the importance of keeping pace.
From remote patient monitoring to antimicrobial devices, discover the technology that’s helping practices meet a wider range of patient needs, boost efficiency and improve the overall quality of care for patients.
Late Binding in Data Warehouses: Desiging for Analytic AgilityHealth Catalyst
Listen to Part 2 of the Late-Binding (TM) Data Warehouse webinar, a separate webinar focused on answering detailed follow-up questions generated from the first Late-Binding (TM) Data Warehouse webinar.
A seminar topic which was created for the first time easy to understand and easy to explain.
any queries related to this topic can ask to me. and be free to connect to me.
to connect me to fb search mykeel vineeth thelakat.
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!
How Northwestern Medicine is Leveraging Epic to Enable Value-Based CarePerficient, Inc.
Value-based care and payment reform are prompting hospitals and healthcare providers to more closely manage population health. Hospitals and health systems rely on technology and data to outline the characteristics of their population and identify high-risk patients in order to manage chronic diseases and deliver enhanced preventative care.
Our webinar covered how Cadence Health, now part of Northwestern Medicine, is leveraging the native capabilities of Epic to manage their population health initiatives and value-based care relationships across the continuum of care.
Our speakers:
-Analyzed how Epic’s Healthy Planet and Cogito platforms can be used to manage value-based care initiatives.
-Examined the three steps for effective population health management: Collect data, analyze data and engage with patients.
-Covered how access to analytics allows physicians at Northwestern Medicine to deliver enhanced preventive care and better manage chronic diseases.
-Discussed Northwestern Medicine’s strategy to integrate data from Epic and other data sources.
This blog will help you How ERP Software is important for hospital management system. ERP software in a healthcare system will invigorate some key aspects of a hospital.
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
Strategic Options for Analytics in HealthcareDale Sanders
There are essentially four analytic strategies available in the healthcare IT market at present. This slide summarizes those options, the pros and cons, and vendors in the space.
Connected Healthcare - New PerspectiveSomenath Nag
An IDC source says, the healthcare industry is one of the highest-ranked industries for year-over-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for FY12 in software.
There has been a significant investment in the form of health modernization and stimulus funding to leverage technology to cut down rising healthcare costs.
This presentation discusses the concepts of connected healthcare and how it will change the Healthcare Industry.
Illustration of Hospital IT Management System Software InterfaceHospi Product
The illustration showcases the user interface of a sophisticated Hospital IT Management System Software. The screen displays a modern dashboard with intuitive icons and data visualizations.
How fast performance of e prescribing software can give you more revenuessuserbed838
E-Prescribing Software is largely involved in legal barriers. Practice efficiencies induce both timesaving and revenue-generating effects and potentially guard staff against malpractice claims.
Manage Patient Treatments with an Online Clinic SoftwareDocpulse
In the bustling world of healthcare, where every second counts, antiquated methods no longer suffice. The days of paper-based records and fragmented communication are fading, making way for a new era of streamlined patient management.
Visit Now :- https://docpulse.com/manage-patient-treatments-with-an-online-clinic-software/
Web Blog - How to Develop a Hospital Management System in 2024.pdfSufalam Technologies
Develop a hospital management system to explore the cutting-edge realm of healthcare technology. Discover how medical administration will change in the future.
Are you a startup in Healthcare? So you have already envisioned an idea or product in Healthcare. A typical top down approach for making this successful is in a clear articulation of the product functions and its business model. This should guide to shape a beautiful application architecture that can be scaled and create a sustainable business model.
Choice of Technology and the development model is another but equally important pillar in the success story. As you might have witnessed, open source technologies supplement exponential growth required for healthcare startups due to their flexible, scalable and cost efficient characteristics.
In this webinar, we discussed the open technology solutions in the following areas:
Remote Patient Monitoring
Media for Personal and Social Interactions for Healthcare
Analytics and Recommendation engines for Clinical Decision Support System
Galen healthcare solutions Healthcare Information Technology 2017 Year in Rev...Justin Campbell
In the ever-changing and fast-paced world of healthcare IT, there can be a lot to keep up with. As 2017 wraps up and we look towards 2018, we take the opportunity to review the major happenings in the industry this past year, and explore key focal areas for the next. We’ve compiled insights gleaned from our market research conducted through attending industry conferences, gathering healthcare executive perspectives, and observing what is occurring in practice, to distill the key areas of focus for 2018. We’ll examine topics critical to the success of Healthcare Delivery Organizations (HDOs) including:
Application Portfolio Rationalization – Data Migration & Archival
Patient Engagement through Telehealth & Telemedicine
Clinician Engagement, Satisfaction, and Data-Driven Clinical Optimization
Clinical Decision Support – Syndromic Surveillance, Sepsis Prevention
Quality Payment Programs – Medicare Advantage, HCC & PCMH
Interoperability – HIE, APIs, Patient Identity & Matching
This webinar will provide a blueprint to assist healthcare information technology stakeholders in understanding key issues affecting the healthcare industry. Attendees will gain insightful resources and analysis of the healthcare information technology landscape in 2018. Register now to learn how these key trends could affect your organization and what you can do to prepare.
A hybrid approach to data management is emerging in healthcare as organizations recognize the value of an enterprise data warehouse in combination with a data lake.
In this SlideShare, we discuss data lakes in healthcare and we:
Provide an overview of a Hadoop-based data lake architecture and integration platform, and its application in machine learning, predictive modeling, and data discovery
Discuss several key use cases driving the adoption of data lakes for both providers and health plans
Discuss available data storage forms and the required tools for a data lake environment
Detail best practices for conducting data lake assessments and review key implementation considerations for healthcare
Similar to Fall2016 SIBC Deloitte Consulting Final Deliverable_v7 (20)
2. Fall 2016 Deloitte Consulting Project Team
Andre Elbling
Finance
Class of 2019
Jasmine Madrigal
Finance & Psychology
Class of 2019
Chris Jung
ITM & Chinese
Class of 2018
2
Frank Chung
Accounting
Class of 2019
Arturo Prestamo
Mechanical Engineering
Class of 2019
Marina Hrosz
Finance & ACMS
Class of 2019
Matteo Muehlhauser
Political Science
Class of 2019
Kibaek Lee
Accounting
Class of 2018
3. Case Overview: Southwestern Hospital requires the
implementation of a new EHR system
3
What Who
How Why
• Assist upgrade in Electronic Health
Records
• End-to-end plan
• Current system is outdated,
inefficient and lacks robustness
• Streamline core business processes
• Enhance patient record tracking
• Optimize efficiency and
performance in hospital
• Southwestern Hospital:
• Chicago-based
• Change averse
• Understaffed
Significant volunteer staff
• Proposing software solution and
implementation strategy
• Outline requirements and risks of
method
Considerations
Cost, ease-of-use, flexibility, scalability, reporting and
forecasting capabilities
4. 4
Executive Summary
Recommendation
Southwestern hospital should purchase the Allscripts product, an off-the-shelf EHR solution
with low upfront costs, huge flexibility, and systematic simplicity.
Analysis
Definition of EHR Types of Product Implementation
Benefits Risks In-House
Off-the-
Shelf
Risk
Mitigation
Staff
Training
Allscripts
5. 5
Recommendation
Southwestern hospital should purchase the Allscripts product, an off-the-shelf EHR solution
with low upfront costs, huge flexibility, and systematic simplicity.
Analysis
Definition of EHR Types of Product Implementation
Benefits Risks In-House
Off-the-
Shelf
Risk
Mitigation
Staff
Training
Allscripts
6. Southwestern’s new EHR system should increase the efficiency of health record storing processes, yet
needs to be customized for change-averse employees to avoid potential malfunctions caused by
inexperienced manipulation of the system.
6
Successful EHR implementation should satisfy the specific
expectations and preferences of the client
Sources: School Health Center
The client is looking for:
New EHR system is
expected to:
The client additionally
prefers:
- A system that is not
prone to user-entry
errors and poorly
structured data
- A system that does not
include the
complicated manual
processes of the
hospital’s current
system
- Improve current
operational efficiency
and customer-based
relationships
- Introduce the user-
friendly training
materials
- A system that requires
minimal amount of
staffs, as the current
health record database
department is
understaffed
- A system that is not too
much different from the
current system, as the
staffs are accustomed
to the old system and
change-averse
7. Source: Allscripts
Today’s web-based EHR will change the way health record
is shared and boost the data accessibility
7
Benefits of
Web-based
EHR
C. User Friendliness
- Most web-based EHR
system offers mobile and
desktop applications on
Apple and Windows
devices
- Users can easily be
added onto the existing
technical infrastructure
A. Mobile Integration
- Integrate all types of
mobile devices,
including phone, tablet,
and laptop computers
- Users can manage daily
activities and updates
status remotely
- e.g. Allscripts Wand
D. Increased Connectivity
- Users can securely log
on to their system with
just a gadget and the
internet connection
- Web-based EHR
provides better
connectivity with clinical
healthcare and patients
B. Cost-saving Features
- Web-based EHR doesn’t
need the installation of
hardware, software and
expensive maintenance
- Web-based EHR doesn’t
have the risk of losing
data due to hardware
malfunctioning
8. Sources: IBISWorld, Yahoo! Finance
The implementation process should address the
operational, financial, and technological risks
8
Breakdown of
Potential Risks
Operational Financial
Technological
- Security breach: electronic records are at risk of being
stolen, while health records are up to 10 times more
valuable than a credit card number for hackers
- Advanced security will be needed if EHR is
implemented
- Delayed return on initial
investment can expose the
client to potential
bankruptcy problem
- Disrupted workflows can
increase the operating cost
- Redesign of infrastructure is
necessary, including billings
and program coding
9. 9
Recommendation
Southwestern hospital should purchase the Allscripts product, an off-the-shelf EHR solution
with low upfront costs, huge flexibility, and systematic simplicity.
Analysis
Definition of EHR Types of Product Implementation
Benefits Risks In-House
Off-the-
Shelf
Risk
Mitigation
Staff
Training
Allscripts
10. Sources: IBISWorld
Considering the key factors in the choice of EHR software, e.g. streamlining tasks, reducing errors, and
saving implementation costs, an Off-the-Shelf software is the better choice for Southwestern.
10
Off-the-Shelf software has strong competitive advantages
over its In-House software rival
Advantages
• Readily available
support staff
• Level of customization
available
• User-friendly interface
Shortcomings
• Lack of knowledge to
handle errors and bugs
• Hard to maintain up-to-
date technological
trends
Advantages
• Readily tested by other
companies
• Fast deployment
• Smooth integration with
current system
Shortcomings
• High support and
maintenance costs
• Price can fluctuate by
vendors
• Long waiting period for
technical support
Develop In-House Software Purchase Off-the-Shelf Software
11. 11IBIS World, Google, Yahoo! Finance
Allscripts stands out among other Off-the-Shelf products
with low costs and short installation period
Cost-saving
Time-saving
Factors Taken Into Account:
• Length of implementation
• Cost of implementation
• Cost of
implementation:
~$40,000 per
physician
• Length of
implementation: 3-6
weeks
• Cost of
implementation:
~60,000 per
physician
• Length of
implementation:
1-2 months
• Cost if
implementation:
~150,000 per
physician
• Length: 1-2 months
• Cost of
implementation: $90
million for 500 beds
• Length: 2-5 months
• Cost of implementation: $1.5
billion over 5 years (2015)
• Length of implementation: 3-6
months
Allscripts is the ideal provider with the lowest average implementation costs as well as a very short
implementation time period. Allscripts is also heavily focused on small/mid-size hospitals, ensuring the
satisfaction of Southwestern hospital.
12. Source: Allscripts, Black Book Rankings
Allscripts offers many features that cement its place among the best EHR software. Its interconnectivity
capabilities, cost-effectiveness, flexibility, and ease of use make it a viable target of purchase.
• Has many templates
catering to varying medical
specialties
Templates
• Prescribing application
connected to over 50,000
pharmacies and
laboratories.
• Cloud capabilities
Connectivity
• Offers a Patient Portal
• Patients can access
records, appointments, and
billing
Patient Use
Unique Features
Relevant to Southwestern
• Designed for medium size clinics and
hospitals
• Flexible and easy to utilize
• Scalable
• Cost-effective
• Interconnectivity and cloud-capabilities
• Headquarters located in Chicago
12
Designed for small and mid-sized hospitals, Allscripts can
satisfy every expectation of Southwestern
Upgrade Costs
0%
10%
20%
30%
40%
50%
Allscripts Cerner Epic
13. Source: Modern healthcare
Example from Catholic Health Initiatives presents potential
success of Allscripts within Southwestern’s infrastructure
Scored the
highest in
customer
satisfaction for
large hospitals
Aimed towards
mid-sized
hospitals, but has
various large
clients
Ranked “Best of
the Best” in
Interoperability &
Communications
in 2014
Lower price
compared to the
market rivals
Allscripts has smaller market share than other players in the EHR industry, however they have a
relatively short implementation timeline and works well in hospitals like Southwestern Hospital.
13
Case Study: Catholic Health Initiatives
- Signed for ambulatory EHR run by Allscripts in 2010
- Has 75 hospitals nationwide with annual revenue of 8.6 Billion & over 1050 doctors
- Catholic Health Initiative decided to expand its relationship with Allscripts in 2015, allowing it to
provide complete support
- Overall very positive partnership, showing potential successful partnership with Southwestern
14. 14
Recommendation
Southwestern hospital should purchase the Allscripts product, an off-the-shelf EHR solution
with low upfront costs, huge flexibility, and systematic simplicity.
Analysis
Definition of EHR Types of Product Implementation
Benefits Risks In-House
Off-the-
Shelf
Risk
Mitigation
Staff
Training
Allscripts
15. Sources: Norcal Mutual Insurance Co., Hitech Answers, Healthcare IT News.
Allscripts can successfully mitigate all the presented risks
that can be occurred during the implementation
15
Data Entry Errors
Breach of Confidentiality
“Curbside” Consultations
Inadequate EHR Training
Failure to Check EHRs
- Saving data in the wrong patient’s charts
- Checking the wrong box
- Typing the wrong dose
- Inconceivable level of potential data breach
caused by hacking, more severe compared to
old-fashioned paper records
- Easy access to patient database can let doctors
view colleagues’ patients for personal, unofficial
medical consultation
- Change-averse culture at Southwestern Hospital
- Lack of technical competency of the independent
contractors
- Turning off system’s warning messages
- Failure on behalf of patients to properly heed to
important news
Double checking, avoid abbreviations, regularly
update information, ensure proper EHR policy
on behalf of employees
Mitigation
Mitigation
Mitigation
Mitigation
Mitigation
Access restrictions, set up appropriate access
level, forbid password sharing, change
passwords frequently, audit usage of records
Formally consult with specialists when
necessary, include correspondence to
colleague doctors in patients records
Have a realistic and well communicated
transition plan, provide regular training and
testing, regularly assess mistakes
Develop a system that allows doctors to convey
their urgency, set up a policy describing how
frequently users must check their emails
16. Source: HealthIt.gov
Effective employee training is essential to the success of
an EHR implementation
Super User
Training
Super users have knowledge
of entire system
Role-Based
Training
Specific training sessions for
immediate responsibilities of
staff
Process-
Based Training
Helps staff understand new
workflows such as providing
clinical summaries to clients
Vendor
Training
Internal
Training
Cost-Effective
Training
Effective EHR System implementation should include different types of user training, especially the
“Super Users,” a small group of staff who know the entire system. Other staffs will receive specialized,
role-based training. Southwestern should take advantage of resources provided by the EHR vendor.
16
17. Sources: Allscripts, EHR intelligence
Southwestern should plan out the project through 24-
month time period for flawless systematic transition
1-12mo.
• Make a solid plan for training and other crucial steps
• Get support from the hospitals leadership
13-18mo.
• Decide on a project team, including an overall leader
• Provision necessary hardware and software needs
19-21mo.
• Install hardware (crucial to start at least at the 3 month benchmark)
• Assign super users, and start scheduling training sessions
22-24mo.
• Build and test interfaces, also should test readiness of the system
• Adjust staff, and patient schedules according to EHR
After
• Create a network for support and feedback with other hospitals
• Maintain a healthy relationship with vendor, to help the flow of the overall program
17
18. Conclusion
Implement Allscripts to streamline core business, enhance patient record
tracking, and optimize performance in Southwestern.
Ultimately
Strategic Rationale
Feasibility and Execution
• Purchase Allscripts, an off-the-shelf, flexible, cost effective, and
comprehensive EHR system that suits Southwestern’s needs.
• Follow 24 month plan of training and implementation strategies for
Southwestern staff.
• Carefully manage risks through mitigation strategies.
18
19. 19
Comparison of IRR assuming investment into Allscripts Vs. Epic in 5-year period
- Assumptions
- Allscripts and Epic have similar, basic functionalities, no difference in annual cost and saving
- Exclude detailed training fee for nurses and volunteers as cost varies in large spectrum
- Savings are primarily attributed to automating time-consuming paper-driven and labor-intensive
tasks, potentially take care of more # of patients in a given time (including potential revenue gain)
- Apply 10% annual growth rate since Southwestern is expanding rapidly within the US
- Initial Investments
- Epic EHR Software = $52M for a mid-sized (~150 beds) hospital * 7 (~1000 beds) = $364M
- Allscripts EHR Software = $5M for a mid-sized (~150 beds) hospital * 7 (~1000 beds) = $35M
- Annual Cost and Saving Breakdown
- Annual Cost = Monthly $1K per physician * 12 * 200 (Southwestern’s # of physicians) = $2.4M
- Annual Saving = Average $48M in 5-year period / 5 = $9.6M
- Annual Benefit = 9.6 - 2.4 = $7.2M per year
- Scenario 1. Southwestern purchases and implements Epic (w/ 10% annual growth)
- Scenario 2. Southwestern purchases and implements Allscripts (w/ 10% annual growth)
Year 0 1 2 3 4 5
Cash (364M) 7.2M 7.9M 8.7M 9.6M 10.5M
IRR -43.54%
Year 0 1 2 3 4 5
Cash (35M) 7.2M 7.9M 8.7M 9.6M 10.5M
IRR 7.58%
Appendix A: IRR Analysis of Allscripts implementation in
Southwestern presents the best potential financial return
Sources: Healthcare Financial Management
Editor's Notes
We’re Deloitte!
Go beyond slide.
Unify transitions!
Take a minute to go through strategy.
Agree with outstanding comment: still very important to tie back to specific requirements from case for this slide to be valuable
When presenting this, make sure you demonstrate how the solutions are specific to how Deloitte will implement Allscripts. Want to show that we are the only people who can mitigate the risks successfully, using our unique plan, instead of offering recommendations on how to mitigate the risks.
Incorporate training into timeline.
More time to implement test interfaces.
Double-check!
12 months for planning.
“Work through plan proposed by Deloitte” not “Create plan”
Thought: month spread is odd
Bell, B, Thornton, K. (2011). From promise to reality achieving the value of an EHR. Healthcare Financial Management, 65(2),51-56.