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Resolving the health care crisis; health informatics for holistic medicine. Resolving the health care crisis; health informatics for holistic medicine.

Resolving the health care crisis; health informatics for holistic medicine. - PowerPoint Presentation

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Resolving the health care crisis; health informatics for holistic medicine. - PPT Presentation

Andrew Stranieri Centre for Informatics and Applied Optimisation University of Ballarat Victoria Tony Sahama Queensland University of Technology Queensland Health informatics research Health informatics research ID: 918822

university ballarat hl7 health ballarat university health hl7 2012 1777 ichm qut event medicine 2011 patient systems data care

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Slide1

Resolving the health care crisis; health informatics for holistic medicine.

Andrew StranieriCentre for Informatics and Applied Optimisation, University of Ballarat, Victoria

Tony Sahama

Queensland University of Technology, Queensland

Slide2

Health informatics research

Slide3

Health informatics research

Holistic Medicine informatics (with

Uni Colombo, QUT, ICHM 2012)Data mining Cardiovascular disease, TCM (with CSU)

Online Dispute Resolution in Health (with Deakin)Decision Support for cancer patients, multi-disciplinary groupsSmart Information Portal (with Monash)

Slide4

University of Ballarat and QUT for ICHM 2012

4Health informatics: transforming health care

Technologies

Telemedicine

Decision support systems

Data mining

Standards for interoperability

Information systems

Simulation

Electronic Health Record

Slide5

University of Ballarat and QUT for ICHM 2012

5Backdrop: Health care is in crisis

Australia spends 9% of GDP on health

More chronic illnesses, diabetes, CVD. No cure ;Increasing costs of medical advances;Problems with health workforce supply and distribution – HCP flock to major cities of developed countries ;Persistent concerns about the quality and safety of health services;

Achieving equity in health

1 billion people never see a doctor

Information Communication Technologies are transforming Health

Slide6

University of Ballarat QUT ICHM 2012

6Backdrop: Diverse medical systems are prevalent Body-person.

Physical (WM, TCM, N, H, AM)

Psychological (WM, H, TCM, AM, N), Spiritual (AM, H)Energetic (TCM, AM)Illness. Caused by external agent (WM, AM, TCM)

Caused by internal imbalance (TCM, AM)

Practitioner-patient relationship

Passive

.............................

Active

Slide7

University of Ballarat 2011

7CAM are prevalant in the West (Dawn and Upchurch 2005, Hastings and Torada 2009, Lim et al 2005)Western Medicine growing in prevalence outside West (Hesketh and Zhu 1997; Chua and Furnham 2008)

Diverse medical systems are popular

Slide8

8

Backdrop: Co-existence of diverse medical systemsTCM and Ayervedic prevalence enhanced by emerging economies of China and IndiaHomeopathy already quite popular in many Western countries

CAM (in West) arguably provides good models of patient empowerment

Allopathic is very expensive. Few countries can afford 10%GDP on healthChronic (lifestyle) conditions resistant to AllopathicMany colleges of CAM around the worldAll systems co-exist as diverse but equally regarded practices

Slide9

University of Ballarat, QUT ICHM 2012

9How/When will patients select a medical system ?Which practitioner

Treatment effectiveness

Empathy (Dose of doctor)Empowerment (Patient centred care)Practicalities (Availability, Cost)

Open research question: How to support patients to make a decision about which system?

Slide10

University of Ballarat and QUT for ICHM 2012

10Health informatics: transforming health care

Technologies

Telemedicine

Decision support systems

Data mining

Standards for interoperability

Information systems

Simulation

Electronic Health Record

Slide11

University of Ballarat and QUT for ICHM 2012

11Health informatics: transforming health care

Trends

Toward more preventative health care

Toward more participatory health care

Toward co-existence of medical systems

Slide12

12

Empowering patients TelemedicineAccess HCP remotely by video conferencehttps://gp2u.com.au/

University of Ballarat and QUT for ICHM 2012

Slide13

13

Tele-dentistryUB Consortium Pilot. Nursing home to Dentist for Cost effective treatment plans

University of Ballarat and QUT for ICHM 2012

Slide14

14

HD3D Pilot projectTele-oncologyOncologist and patient with nurse. Record consultation onto DVD

Tele-psychiatry

HD3D Specialist psychiatrist for fine motor movementsTele-wound managementNurse in home uploads a 3D image of a wound for a wound specialist to assess University of Ballarat and QUT for ICHM 2012

Slide15

University of Ballarat 2011

15HD3D Pilot project

Tele-wound. Automated depth assessment

Open Research question: Identify image processing applications within holistic medicines

Slide16

University of Ballarat 2011

16Remote surgery

Japan/Korea Arata et al 2007

World Congress on Medical Physics and Biomedical Engineering 2006 IFMBE Proceedings Volume 14, 2007, pp 3065-3068. A remote surgery experiment between Japan-Korea using the minimally invasive surgical system

Slide17

17

Telemedicine for holistic medicine Acupuncture at sea. Information Technology in Alternative Medicine. 2010. Bernard Fong, A. C. M. Fong, C. K. LiMindfulness by telehealth. Measuring mindfulness: which aspects of mindfulness change following a brief telehealth intervention for PTSD? B Niles1*, A Seligowski1 and A Silberbogen2 BMC Complementary and Alternative Medicine 2012, 12(Suppl 1):P191 doi:10.1186/1472-6882-12-S1-P191Open Research question: Identify which practices within holistic medicines can appropriately be performed by Tele-health

University of Ballarat and QUT for ICHM 2012

Slide18

18

Decision support systemsSystems that encode knowledge, use an inference and reach a conclusion. Examples: Intensive Care Unit Ballarat Hospital. Knowledge from experienced nurses in a DSS for training

DSS for inferring supportive care (relationship, spiritual, financial, transport, etc) needs of cancer patients

DSS for inferring pathology lab test diagnosis University of Ballarat and QUT for ICHM 2012

Slide19

19

Supportive care needs DSS Typically with Quality of Life instruments but;

Difficult to fit QOL instruments into busy HCP workflows

Difficult to engage patients. Non interactive, always the same questions. Not customised for local settings. Questions validated over large populations cannot be modified Our approach: DSS; DSS infers needs, and infers appropriate referrals. Report adds value to HCP

Interactive. Patients/carers online, at home, dynamic questions.

Can be customised for local settings. Eg no referrals to psychologists if none around. Question content and nuances evolves locally

University of Ballarat and QUT for ICHM 2012

Slide20

University of Ballarat 2011

20Decision support systems in holistic medicine CAMEO (2012) helps cancer patients identify useful CAM evidenced based

Zhou et al (2012) TCM DSS for Syndrome differentiation and diagnosis

Wang et al (2008) Self learning system for TCM diagnosisVithoulkas Compass DSS for helping homeopathy practitioners select remedies http://www.vithoulkas.com/en/books-study/vithoulkas-compass.html

Slide21

University of Ballarat 2011

21Decision support systems in holistic medicine: open questions How best to represent knowledge for DSS given high level of tacit knowledge in many holistic medicine systems?

How to support patients to choose between medical systems

Ripple down rules? :

Slide22

22

Data miningData mining = Statistics + Computer Science + MathsDiscovering patterns from dataAdverse drug reaction

Cystic Fibrosis Predictors. Quinn, Stranieri, Yearwood,

Gauditz 2010Cardiovascular autonomic neuropathy - replacement testsUniversity of Ballarat and QUT for ICHM 2012

Slide23

23

Data mining to discover interactionsQuinn Weighted sum discoveryClinical Data warehouse – de Silva

University of Ballarat and QUT for ICHM 2012

Slide24

24

Data mining open questions How to identify tasks in holistic medicine suitable for data mining?

How to collect and pre-process data in standard ways to facilitate data mining?

How to integrate clinical knowledge into data mining exercise?University of Ballarat and QUT for ICHM 2012

Slide25

25

Simulation systemsQuality of Care Virtual hospital SecondLife Imperial College London

Games for health

WII, UQ Distraction for burns victimsSimulation for education Knee surgery http://www.edheads.org/activities/knee/ Virtual patient UB Miller et al SecondLife Nursing (2009-10)Simulation for empowermentInteractive DVD for people who stutter Meredith (2010)

University of Ballarat and QUT for ICHM 2012

Slide26

26

Ubiquitous health informationPatients Like Mehttp://www.patientslikeme.com/Cochrane Collaboration

http://www.cochrane.org/

Breast Cancer OnlineHealth InSite Portal http://www.healthinsite.gov.au/

University of Ballarat and QUT for ICHM 2012

Slide27

27

StandardsUniversity of Ballarat and QUT for ICHM 2012

Slide28

University of Ballarat 2011

28Terminology standards SNOMED

Slide29

University of Ballarat 2011

29Terminology standards SNOMED

Slide30

University of Ballarat 2011

30OpenEHR arhetypes

Slide31

University of Ballarat 2011

31Open questions SNOMEDNew work proposal for TCM in SNOMED

Open question about SNOMED and

AyurvedaHomeopathyOther holistic medicinesOpenEHR archetypes for holistic medicine

Slide32

University of Ballarat 2011

32Health informatics is based on allopathic medicine Telemedicine, Decision support, Data mining, Electronic health record, Simulation

Co-existance of complementary medicine with allopathic medicine can also help alleviate the crisis

However, requires a concerted effort by health informaticians to ensure developments are applicable to Holistic medicine

Slide33

University of Ballarat 2011

33HL7 for CAM?1777.1220 : HL7 Segment : DG1 : Diagnosis Information

1777.1225

: HL7 Segment : EVN : Event Information1777.1250 : HL7 Segment : MSH : Message Header1777.1255 : HL7 Segment : NK1 : Next of Kin Information1777.1260 : HL7 Segment : NTE : Notes and Comments1777.1265 : HL7 Segment : OBR : Order Information1777.1270 : HL7 Segment : OBX : Observation Information

1777.1275

: HL7 Segment : ORC : Order Common Information

1777.1280

: HL7 Segment : PD1 : Patient Demographic Information

1777.1295

: HL7 Segment : PID : Patient Information

1777.1300

: HL7 Segment : PR1 : Procedure Information

1777.1305

: HL7 Segment : PV1 : Patient Visit Information

1777.1800

: HL7 Event Summar

y

1777.1801

: HL7 Event : A01 : Admit Patient

1777.1802

: HL7 Event : A02 : Transfer Patient

1777.1803

: HL7 Event : A03 : Discharge Patient

1777.1804

: HL7 Event : A04 : Register Patient

1777.1805

: HL7 Event : A05 : Preadmit Patient

1777.1806

: HL7 Event : A06 : Transfer ?Outpatient to Inpatient

1777.1807

: HL7 Event : A07 : Transfer ?Inpatient to Outpatient

1777.1808

: HL7 Event : A08 : Update Patient

1777.1811

: HL7 Event : A11 : Cancel Admit

1777.1812

: HL7 Event : A12 : Cancel Transfer

1777.1813

: HL7 Event : A13 : Cancel Discharge

1777.1817

: HL7 Event : A17 : Bed Swap

1777.1818

: HL7 Event : A18 : Merge Patient

Slide34

34

Electronic health recordIn Australian NEHTA. PCEHRMicrosoft Health Vaulthttp://www.healthvault.com/

Denmark

Bernstein 1995US Obama E H R by 2014

Slide35

University of Ballarat 2011

35Electronic health recordA virtual electronic record of every health event from before birth to after death

Integrated so that every authorised health care professional can add to or access the record

Slide36

University of Ballarat 2011

36Electronic health record: More complaintsPatient empowerment means more queries, complaints, disputes

Online Dispute Resolution – argument structure based organisation of the dispute to help its resolution

Slide37

University of Ballarat 2011

37Electronic Health RecordOpen question:

Should CAM events be entered in an electronic health record? If so, how?

Slide38

University of Ballarat 2011

38Electronic Health RecordOpen question:

Should CAM events be entered in an electronic health record? If so, how?

Slide39

University of Ballarat and QUT for ICHM 2012

39Conclusion

Technologies

Telemedicine

Decision support systems

Data mining

Standards for interoperability

Information systems

Simulation

Electronic Health Record