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Active Management of Healthcare Operations: A Dynamic Systems View of Healthcare Delivery Maritime Systems and Sensors OMG: SOA in Healthcare July 12 OMG: SOA in Healthcare July 12-14, 2010 14, 2010 Dennis M. Moen, Ph.D. Phil Bozzelli Research Scientist Research Consultant Lockheed Martin USIT Enterprises

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Active Management of Healthcare Operations: A Dynamic Systems View of Healthcare Delivery

Maritime Systems and Sensors

OMG: SOA in Healthcare July 12OMG: SOA in Healthcare July 12--14, 201014, 2010

Dennis M. Moen, Ph.D. Phil Bozzelli

Research Scientist Research Consultant

Lockheed Martin USIT Enterprises

Abstract

This presentation describes a framework for decision making and management of healthcare operations through the application of dynamic resource management (DRM) using information technology for what we call Active

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information technology for what we call Active Management of Healthcare Operations (AMHO).

Introduction

�Medicine faces a new set of challenges that have much less to do with the patient than with the systems of care used to service the patient.

�Advances in computing, networking, sensing, and medical device technology

� Independent advances lack proper interoperation amongst themselves as well as with policy and governance

�Many stakeholders and interdependent elements involved in

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�Many stakeholders and interdependent elements involved in solving the modern day problems of improving the efficiency, quality, and cost effectiveness of healthcare

�Government policy and regulation

�Free market forces: healthcare device and system manufacturers

�Clinician knowledge and skills

�Healthcare facility design and structure

�Culture, patient demographics, patient knowledge, and how people live their lives

Systems Approach to Healthcare Delivery

�Create a holistic, system view of healthcare delivery: an interactive, integrated model for healthcare decision support called the Active Management of Healthcare Operations, or AMHO.

�Explore the impact of decision making at all levels

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�Explore the impact of decision making at all levels from National policy, local medical facility policy and near real time delivery of healthcare at the patient level in the context of a specific medical care delivery protocol, introduction of policy change, or impact of new medical technology and procedure.

Capture Present State and Current PlansModel The System Exploit the Data

Monitoring

Analyzing

Operations

Evaluating

Options

Healthcare System Model

Facilities Patients Processes PoliciesDesign

Manuals

Expert

Knowledge

Sy

ste

m D

es

ign

Sit

e-S

pe

cif

ic D

eta

ils

System View of Healthcare Delivery

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Sensors Applications

System Status PlansManaging

Operations

Answering

Queries

Monitoring

OperationsFacilities

Staff

Patients

Equipment

Processes

Supplies

Policies

Design

Documents

Sy

ste

m O

pe

rati

on

Design

Catalogs

• Facility Designs

• Clinical Process Designs

• Business Process Designs

• Equipment and Supply Lists

• Job Descriptions

Sit

eG

en

era

l P

att

ern

s

Exploit Information to Improve Performance

Harvest information from various sensors, repositories, and software applications running within the enterprise. The information used in the supporting model is exploited in order to:

�Optimize on-going and planned operations.

�Answer questions about the present or planned future states of the enterprise.

�Examine data on how the enterprise has functioned over

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�Examine data on how the enterprise has functioned over specified periods of time.

�Analyze in a range of ways the structure and operation of the enterprise.

�Evaluate the likely impacts of specific proposed internal and external changes on the enterprise.

Core Process

We exploit the information organized around two classes

�Those activities that occur as part of the day-to-day operation of the subject healthcare system.

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healthcare system.

� Those that address its assessment and reengineering of factors that impact system performance.

Optimize at Two levels

�The optimization of facility operations occurs at two levels

�The AMHO works to ensure that maximum performance is achieved given the processes established for the facility

�The AMHO system constantly evaluates the established processes to identify opportunities for improvement.

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opportunities for improvement.

�The latter feature differs from conventional approaches in whichchanges are explored a periodicallyand outside of the operationalenvironment.

What Should We Optimize?All aspects of the healthcare enterprise’s operations:

�Treatment plans

�Patient transportation plans

�Medical appointments

�Space and equipment allocation

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�Space and equipment allocation

�Supplies inventory, storage, and allocation.

�Work schedules and assignments

�Facility/equipment maintenance schedules

�Internal audit / quality assurance plans

What Should We Optimize?Externally established requirements but internally

written procedures:

�Clinical guidelines/protocols – statements of “best practice”

�Healthcare regulations – rules (e.g., like those

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�Healthcare regulations – rules (e.g., like those imposed by JCAHO or Medicare)

�Licenses, certifications, credentials, and privileges

�Health care plans

Adaptive Framework for Quality of Service�A large volume of information resident across many

applications necessitates a flexible, efficient approach for the integration across systems and monitoring of the delivery of Quality of Service (QoS) in healthcare operations.

�There is no straightforward method for healthcare personnel or system architects to describe how

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personnel or system architects to describe how resources should be allocated in an environment that is complex, dynamic, information-rich, and time-sensitive.

�Our approach is an infrastructure for dynamic resource management (DRM) and QoS within an adaptive integration framework we call the Quality Connector. The Quality Connector (QC) is a framework for managing end-to-end provisioning of heterogeneous resources in support of mission-driven resource management

Healthcare Informatics Integration

App3

App4

App5

App2

Framework Properties•Asynchronous operation in intermittent

connectivity environments

•Operates through a loosely coupled set

of Nodes

•Provides authentication, certification,

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Communities of Interest

Clinical informatics

Medical Protocol

Management

Medical Device

Integration

Semantic

Data

Model

App5App1

•Provides authentication, certification,

integrity, availability and confidentiality

•Provides and / or requests services based

on node type and business rules

•Supports inter-nodal interaction through

the Data Dissemination Layer (DDL)

•Integrates and processes data though the

Data Aggregation Layer (DAL)

•Supports role based Situational

Awareness

Aggregation

Network Aware

Applications Provide Host

level Network Services

•Data aggregation

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•Data aggregation

•Efficient dissemination via overlay

networking (multicast for example)

•Content based routing/forwarding

(policy based networking)

Quality Connector (QC) Framework

QC Provides Operational

Resource Allocation

•Users or machine-to-machine

•Roles defined via registry service

•Includes infrastructure services

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•Includes infrastructure services

(email, chat, data distribution…..)

•Use Information exchange

requirements to allocated resources

•Define modes during system

architecture process

The Value of AMHO

The AMHO is about capturing factors that might influence how proposed plans and current activities unfold and provide visibility into the range of possible outcomes. Example capabilities include:

�Clinical prognostic aids

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�Resource projection

�Predictive failure management

�Surge/emergency planning and real time response (situational awareness)

�Financial forecasting

QUESTIONS?

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