Model-Based Design Environment for Clinical Information Systems

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1 Model-Based Design Environment for Clinical Information Systems Janos Mathe, Sean Duncavage, Jan Werner, Akos Ledeczi, Bradley Malin, Janos Sztipanovits Vanderbilt University TRUST Review, October 11, 2007

2 Summary EMR is an integrative project with three main goals: Build a credible testbed for EMR research Contribute to solving privacy and security challenges of EMR systems applications Use EMR application testbeds for the integration, testing and evaluation of new technologies on the following core TRUST research areas: o o o o Model-based design for security and privacy Formal modeling, verifying and enforcing privacy and security policies Security and privacy technologies for sensor networks Public policy to technology interactions 2

3 Patient Portal Research Area Secrecy Non-repudiation Integrity Secrecy Non-repudiation Integrity Privacy Dynamic Non-repudiation Authorization Secrecy Rights Delegation Goal: systems design satisfying high-level requirements stated for privacy, secrecy, integrity, non-repudiation, dynamic access control, rights delegation Last year focus establishing a credible testbed for Patient Portals formal modeling of Patient Portal designs formal modeling of access control and privacy policies -driven control of information flows in Patient Portals 3

4 Behind the Patient Portals: Workflows and Services Appointments Messaging EMR access Health Answer Secretary Appointment Health Question Health Question Doctor Patient Health Answer Nurse Health Question Data Request Data Answer Data Answer Data Request Data Answer Data Request EMR HIPPA Local 4-Eyes-Principle 4

5 Building a Credible Testbed Architectural Framework: SOA Reliance on existing standards SOAP, WSDL, WS- Security, XACML Exploiting open-source implementation of integration platforms (Active BPEL, Apache ODE) External Internal Request Decision Point Repository Decision Point S1 Response Enforcement Point Oracle BPEL (Apache ODE) Enforcement Point S2 Sn WS-Security, XACML, XKMS, SAML, SSL, SELinux Standards do not guide integration of security technologies with applications 5

6 Testbed considerations How to work with the Medical School? They have many, complex, real, live systems that one cannot play with Many legacy systems, no clear overarching architecture The selected platform has to be viable for a wide range of future systems SOA can fulfill this role Proven standards-based technology successfully applied in many different domains It enables experimentation with different techniques to deal with security/privacy issues By building on the existing massive infrastructure we can focus on interesting research issues and not on the technical details of the really complex machinery behind it Focus: how to build applications How to specify security/privacy requirements and How to tie them to the underlying standard technologies Because the standards do not provide guidance on how to integrate security/privacy technologies with applications Value added: Mature, proven, model-based tool environment Automatic generation of many required artifacts New components for policy specification/evaluation 6

7 Abstraction Layers Domain specific modeling abstractions expressed in formally defined DSML-s. TRUST research focus SOA-based, standard, business process modeling platform SOA-based, standard, execution platform (simulation/fast proto.tng) 7

8 Architecture BPEL Execution Platform CIS Domain Workflow Models Activities Coordination Service Models Interface Data Privacy Models Privacy Security Org. Models Org. structure Roles Domain specific modeling abstractions expressed in formally defined DSML-s Model Transf. Model Transf. Model Transf. Model Transf. SOA design BPEL4WS WSDL XACML + XSD XML Conf. Decision Pt. BPEL Modeling Platform External Enforcement Point Standard SOA-based business process modeling platform System level Repos. Decision Pt. BPEL Process Manager Internal Enforcement Point Config. Engine Standard SOA-based BPEL execution platform (simulation and fast prototyping) S1 S2 Sn

9 MICIS Architecture Metamodel Modeling Environment Metamodel Editor Metamodels 1. Model Editor User Models 1. Modeling environment Metamodels define the domain specific modeling language and define the abstract syntax of domain models User models represent a specific CIS instance through a set of modeling abstractions EE Execution Environment P VT Using Generic Modeling Environment (GME) Front End Execution Engine Process Manager XACML Set Formula (Prolog Solver) Decision Point

10 MICIS Architecture Metamodel Modeling Environment Metamodel Editor Metamodels 1. Model Editor User Models 2. s Transform user models into BPEL deployment code Create XACML policy decision points Using EE Execution Environment P VT GREAT Builder Object Network (BON) interface Front End Execution Engine Process Manager XACML Set Formula (Prolog Solver) Decision Point

11 MICIS Architecture Metamodel Modeling Environment Metamodel Editor Metamodel s 1. Model Editor User Models 3. Execution Environment BPEL execution engine execution engine Web server for user interaction Using EE 2. P VT OracleBPEL AciveBPEL SunXACML Execution Environment 3. Front End Execution Engine Process Manager XACML Set Formula (Prolog Solver) Decision Point

12 Verification/Enforcement w/ Prolog T n MiniUML-in MetaGME DSML in T 0 T MiniUML 0 Design Model in DSML T 1 T 1 T 1 T m Prolog Prolog representation of the MiniUML domain Prolog Prolog representation of the DSML domain Prolog Prolog representation of the Design model Generate domain Generate domain 12

13 MICIS Modeling Abstractions Design Environment (GME) Combined View Control Flow View Component View Service models capture business logic Control flow Data flow Data Flow View

14 MICIS Modeling Abstractions Data models Specify the information in the CIS Represent patient information and system state variables Simple and compound data types in hierarchy

15 MICIS Modeling Abstractions Deployment models Servers and workstations Service deployment Secure sessions Access control

16 MICIS Modeling Abstractions Clinic-level View Person-level view Department-Level View Organizational models Specify human coordination within CIS Roles, groups of roles and people within clinics Interaction between roles

17 MICIS Modeling Abstractions x x x x models Static policies that can be evaluated based on system specifications Dynamic policies that must be evaluated at run-time

18 Models Static policy models Dynamic policy models Ex: Check if the patient A Role whose record is being retrieved is under a certain age B Rol e x? = Ex: A service s workflow and an invoked service have to have matching roles x x x

19 MICIS Example Above: a simple service that checks the user s credentials and authorizes access to other services Symbol Guide

20 MICIS Demo

21 Conclusions Metamodel MICIS forms a testbed for EMR research Helping to solve privacy and security challenges of EMR systems applications It can be used for the integration, testing and evaluation of new technologies Modeling Environment Metamodel Editor Model Editor Future work Metamodels User Models Prolog-based policy management EE Execution Environment P VT Choice of policy languages: XACML, Prolog, OCL,??? Front End Execution Engine Process Manager XACML Set Formula (Prolog Solver) How to structure policies Static vs. dynamic Decision Point Analysis/verification tools

Implementing a Model-Based Design Environment for Clinical Information Systems

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