The PSCI Cost-Quality (Triple Aim) Analyzer for Acute Care module blends three streams of data – financial, clinical quality, and patient experience. Using Total Quality Management (TQM) principles, the module reveals root causes of cost/quality variance through easy point-and-click drill-downs.
Selecting the Right Meaningful Use Criteria for Your Practice - October 25, 2010Cientis Technologies
Speaker: Peter Basch, MD, FACP, Medical Director, Ambulatory EHR and Health IT Policy, MedStar Health. He is a Senior Fellow with the Center for American Progress, practices general internal medicine in Washington, DC. Dr. Basch is an early adopter of electronic health records and e-prescribing.
Dr. Basch explained the Stage 1 Meaningful Use Criteria including the 15 Core Measures you must meet plus how to select the 5 Menu Measures that are most appropriate to your practice.
The PSCI Cost-Quality (Triple Aim) Analyzer for Acute Care module blends three streams of data – financial, clinical quality, and patient experience. Using Total Quality Management (TQM) principles, the module reveals root causes of cost/quality variance through easy point-and-click drill-downs.
Selecting the Right Meaningful Use Criteria for Your Practice - October 25, 2010Cientis Technologies
Speaker: Peter Basch, MD, FACP, Medical Director, Ambulatory EHR and Health IT Policy, MedStar Health. He is a Senior Fellow with the Center for American Progress, practices general internal medicine in Washington, DC. Dr. Basch is an early adopter of electronic health records and e-prescribing.
Dr. Basch explained the Stage 1 Meaningful Use Criteria including the 15 Core Measures you must meet plus how to select the 5 Menu Measures that are most appropriate to your practice.
Dr Avi Ratnanesan is the Chief Executive Officer of Energesse, a leading firm that specialises in improving patient experience and customer experience in healthcare. Energesse provides thought leadership in patient-centred innovation and technology solutions including MES Experience for real-time patient feedback and PanSensic for free-text analytics of patient stories.
This Conversation May be Recorded for Quality PurposesTraceByTWSG
Three industry leaders will share strategies to improve patient experience by recording, monitoring and scoring patient encounters.
As consumers, we have come to expect customer service calls to be recorded for quality purposes. This presentation will share why leading healthcare organizations are now following suit and incorporating recording and quality scoring throughout the revenue cycle. A panel of Patient Access innovators will share methods for monitoring and scoring patient encounters to improve patient experience. Attendees will hear outcomes and walk away with practical steps to standardize communication best practices among their teams.
Utilization Management is an integral part of the US healthcare ecosystem used by health insurers or Pharmacy Benefit Managers (PBMs) to evaluate the appropriateness, medical necessity, and efficiency of healthcare services rendered to patients.
Dr Avi Ratnanesan is the Chief Executive Officer of Energesse, a leading firm that specialises in improving patient experience and customer experience in healthcare. Energesse provides thought leadership in patient-centred innovation and technology solutions including MES Experience for real-time patient feedback and PanSensic for free-text analytics of patient stories.
This Conversation May be Recorded for Quality PurposesTraceByTWSG
Three industry leaders will share strategies to improve patient experience by recording, monitoring and scoring patient encounters.
As consumers, we have come to expect customer service calls to be recorded for quality purposes. This presentation will share why leading healthcare organizations are now following suit and incorporating recording and quality scoring throughout the revenue cycle. A panel of Patient Access innovators will share methods for monitoring and scoring patient encounters to improve patient experience. Attendees will hear outcomes and walk away with practical steps to standardize communication best practices among their teams.
Utilization Management is an integral part of the US healthcare ecosystem used by health insurers or Pharmacy Benefit Managers (PBMs) to evaluate the appropriateness, medical necessity, and efficiency of healthcare services rendered to patients.
Well in this era of digital marketing, social mediums are continuously challenging the basic rules and tactics of traditional advertising, but when they can’t do that, they redefine scenarios in their ways
NO NL Micro algae opportunities in aquacultureSytse YBEMA
Inventory of Norwegian strategies, instruments and key players that actively develop micro algae business and to identify areas of cooperation, potential partners and strategies that The Netherlands could follow to connect.
Reducing attack surface on ICS with Windows native solutionsJan Seidl
Presentation given at 4SICS conference in Stockholm, Sweden about using Windows built-in solutions like Software Restriciton Policies/App Locker, EMET and other minor things.
6. Advanced Access and Predictive AnalyticsMichele Molden
Christopher Scaven, Renuka Sundaresan, David Sweeney, and Jordan Holland - Exploring an innovative access model that flips conventional scheduling theory on its side and sidesteps traditional access barriers.
Physician schedule optimization model - Endeavor AnalyticsEndeavor Management
How can you meet organizational revenue needs while addressing physician preferences? In this presentation, we review our approach to creating an physician schedule optimization model that assembles and predicts the impact of schedule changes on patient revenue against a series of constraints and variables.
It's like a dating site to match physicians and consumers.
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June 2010
Workflow Redesign:
A Model for California Clinics
Introduction
Patient flow, particularly initial patient access
and cycle time, is crucial to community clinic
practice efficiency and capacity, which in
turn affects revenue and provider and patient
satisfaction.1 As a clinic improves patient access,
it increases the timeliness of patient care, and
thus may improve outcomes, and in some cases
the odds that a patient will receive care at all.
Balancing appointment supply and demand, and
establishing and managing provider panels, can
increase access and improve practice efficiency
and patient satisfaction. Moreover, effective
panels and resulting continuity can strengthen
prevention efforts, improve outcomes for patients
with diseases that can be detected early, and
help manage chronic conditions through regular
monitoring.
Improved access and practice efficiency, and
resulting clinical improvement, depend on
factors specific to each clinic — such as goals
and priorities, physician preferences, and
patient population — which together constitute
a particular practice system. While there
are many approaches a clinic might take to
address individual aspects of practice efficiency,
meaningful practice redesign requires a thorough
understanding of the practice’s patient care
processes and identification of practice-specific
strategies for improving efficiency. Such practice
redesign requires a multi-component approach,
which can be enabled and enhanced by the
application of a comprehensive, field-tested
framework for change.
In 2007, the California Primary Care Association
(CPCA), funded by the federal Bureau of Primary
Health Care and facilitated by Mark Murray and
Associates, launched the Optimizing Primary
Care Collaborative (OPCC) as a one-year learning
project. The collaborative, with 21 community
clinic teams, was designed to reduce patient
flow delays in primary care settings and to
improve clinical care. Following the first year’s
work, in 2008 the same partners organized a
second OPCC, with additional funding from
the California HealthCare Foundation (CHCF).
A total of 24 community health clinics from
California and Arizona participated in the
2008 OPCC. The collaborative used a learning
community framework to help clinic teams set
goals, collect data, and measure effects.
Upon completion of OPCC in 2009, CHCF
supported an evaluation of its methods and
outcomes by White Mountain Research Associates
(White Mountain). The evaluation found that the
level of improvement varied among clinic sites, but
that there was marked overall success: Virtually all
participants saw improvements, with 88 percent
of teams reporting positive changes in at least
two access and patient satisfaction measures,
and 63 percent reporting positive changes in
three or more of these m.
Cheryl Davenport, Director of Health and Care Integration at Leicestershire County Council, talks about how simulation is helping to evaluate how emergency hospital admissions can be reduced.
Presentation by Rich Pollack, VP and Chief Information Officer, VCU Health, at the marcus evans National Healthcare CIO Summit held in Pasadena, CA March 13-14 2017
Avoid PRM failures by avoiding ensuring it's not simply a repository for documenting simple tasks. PRM failures occur when the IT solutions only serves to document activities instead of serving to streamline the physician experience.
Edifecs CJR: don't fumble with your bundle ssEdifecs Inc
Comprehensive Care for Joint Replacement (CJR) opens the door to opportunity for improved joint replacement patient care delivery. With full accountability for both cost and quality for the joint replacement episode, hospitals must share critical data in near real time to align and coordinate the full continuum of post-acute providers. The top complexities Jay Sultan addressed include:
The top complexities Jay Sultan addressed include:
Considerations for entering into contracts with your orthopedic surgeons and other collaborating episode providers
Episode bundle administration and monitoring; gain sharing administration
Real-time data acquisition from collaborating providers
Analytics and reporting, focused care delivery management, and preparation for CMS audits
Whatever burning issues and questions are on your mind
Title: Revolutionizing Healthcare: A Comprehensive Overview of Hospital Management System (HMS) Software
Abstract:
In today's fast-paced world, the efficient management of healthcare facilities is crucial for providing quality patient care. Hospital Management System (HMS) software plays a pivotal role in streamlining various administrative and clinical processes within healthcare institutions. This comprehensive overview delves into the intricacies of HMS software, exploring its functionalities, benefits, implementation challenges, and future trends. By understanding the intricacies of HMS software, healthcare professionals and stakeholders can make informed decisions to enhance operational efficiency, improve patient outcomes, and revolutionize the delivery of healthcare services.
Keywords: Hospital Management System, Healthcare, Software, Administration, Clinical Processes, Operational Efficiency, Patient Outcomes.
1. Introduction
In the complex ecosystem of healthcare delivery, effective management of hospital resources is indispensable for delivering quality care to patients. Hospital Management System (HMS) software serves as a cornerstone in optimizing administrative and clinical processes, thereby enhancing operational efficiency and patient satisfaction. This comprehensive overview aims to elucidate the multifaceted functionalities of HMS software, providing insights into its pivotal role in modern healthcare management.
2. Evolution of Hospital Management Systems
The evolution of Hospital Management Systems traces back to the emergence of computer technology in the healthcare sector. Initially, HMS software primarily focused on automating administrative tasks such as patient registration, billing, and inventory management. However, with advancements in information technology, modern HMS solutions have evolved into integrated platforms that encompass a wide array of functionalities, including electronic health records (EHR), appointment scheduling, laboratory management, pharmacy management, and decision support systems.
3. Key Functionalities of HMS Software
3.1. Administrative Management:
- Patient Registration and Admission
- Appointment Scheduling
- Billing and Invoicing
- Inventory Management
- Staff Management and Rostering
- Financial Management
3.2. Clinical Management:
- Electronic Health Records (EHR)
- Laboratory Information System (LIS)
- Radiology Information System (RIS)
- Pharmacy Management
- Electronic Prescribing (e-Prescribing)
- Clinical Decision Support Systems (CDSS)
3.3. Patient Engagement and Communication:
- Patient Portals
- Online Appointment Booking
- Remote Consultations
- Health Education and Communication
4. Benefits of HMS Software
4.1. Enhanced Operational Efficiency:
- Streamlined Workflow
- Reduced Administrative Burden
- Improved Resource Utilization
4.2. Improved Patient Care and Safety:
- Comprehensive Patient Records
1. Abstract. We sought to use simulation modeling to
design effective scheduling processes in community
health centers (CHCs) to address appointments
related challenges that patients and clinics are facing.
Provider characteristics, patient characteristics,
number and types of appointments, and scheduling
methods and horizon will be used to build the
simulation model. All of this data has been collected
by questionnaires, interviews, workflow observations
and analysis of EMR data in CHCs.
Problem.
• Patients challenges:
• Long waiting times
• Getting appointments at inconvenient times
• Appointments with non-preferred providers
• Clinics challenges:
• Provider shortage
• Limited provider availability
• Multiple patient visit types
• Appointment no-shows and cancellations
Purpose. Effective scheduling processes can reduce
clinic no-show rates and patient waiting time while
improving continuity of care and overall clinic
performance. We sought to develop a computer
simulation model to assess and simulate the
scheduling processes in CHCs, and provide a decision
making tool for clinic managers to analyze the impact
of a modified open access scheduling system, where
some provider capacity is allocated for same-day
appointments.
Methods!
Conclusion!
Assessing and Simulating Scheduling Processes in Community Health Centers!
Iman Mohammadi1, Ayten Turkcan2, Tammy Toscos1,3, Amy Miller1, Kislaya Kunjan1, Brad N. Doebbeling4!
1Department of BioHealth Informatics, Indiana University, Indianapolis, IN; 2Department of Mechanical and Industrial Engineering, Northeastern University, Boston, MA; 3Parkview Research Center, Fort Wayne, IN;!
4Department of Biomedical Informatics, Arizona State University, Phoenix, AZ"
References!
Motivation! Patient Flow!
Data requirements.
• Patient characteristics
• Provider characteristics
• Appointment types
• Visit frequencies
• Scheduling methods
Approaches to gather data.
1. Structured questionnaires and interviews. Clinic
managers, staff, quality assurance directors,
schedulers, financial advisors, nurse managers, call
center staff and front desk staff were the key
respondents.
2. Workflow observations. The clinic staff working at
the front desks, call centers, scheduling and
enrollment stations were observed to map the
scheduling processes.
3. EMR data analysis. We collected EMR data to build
patient population characteristics, provider capacities
and visit frequencies. We used clinics EMR data to
develop no-show prediction models using logistic
regression.
Simulation modeling.
We developed agent-based simulation models for each
clinic in AnyLogic.
Performance Measures
and Scenarios!
This project is part of a 3-year study funded by PCORI
to understand and improve access to healthcare in
Indiana through collaboration with seven community
health centers in the state. Questionnaires and
interviews for understanding overall operations of the
partner clinics, workflow observations and EMR data
analysis can be used to build the simulation model to
identify effective scheduling processes and test alternate
strategies to improve timely access to care.
Performance measures.
• No-show rates
• Waiting time for an appointment
• Clinic/provider productivity
• Continuity of care
Scenarios.
• Does changing the number of triage appointments
improve outcome measures?
• How does open access scheduling affect performance
measures?
• How does overbooking affect operational performance
measures?
• Can care teams improve the performance measures?
• What would be the impact of after-hour or weekend
hours on performance measures?
• Pediatric, adult, pregnant and women are the four
main patient types.
• Our no-show prediction modeling shows that duration
of appointments, patient groups based on gender and
age, insurance types, lead time between appointment
day and appointment request day and prior no-show
behavior of patient are significant predictors of no-
show.
Scheduling Algorithm!
1. Turkcan A, Toscos T, Doebbeling BN. Patient-Centered Appointment
Scheduling Using Agent-Based Simulation. In: AMIA 2014 – Proceedings of the
Annual Symposium of the AMIA. Washington, D.C., 2014; (pp. 1125-1133).
