Skip to main content

Health Information Technology Considerations of Medical and Dental Data Integration

  • Chapter
  • First Online:
Integration of Medical and Dental Care and Patient Data

Abstract

Electronic integration of dental and medical care can be accomplished by determining: (1) clinical, epidemiological, and financial needs; (2) interlocking components and other available technologies; (3) potential adaptations and/or barriers that can play a role in integration; and, (4) establishing and implementing a plan that leads to integrated activities. We review the conditions that can benefit from integrated approaches, the technologies currently being used in clinical care, and also supportive factors to integration.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Except for the conditions listed above, antibiotic prophylaxis is no longer recommended for any other form of CHD.

  2. 2.

    Prophylaxis is reasonable because endothelialization of prosthetic material occurs within 6 months after the procedure.

References

Physicians’ Dental Data Needs and Oral Healthcare Providers’ Medical Data Needs: The Clinical Rationale

  • Leikauf J, Federman AD. Comparisons of self-reported and chart-identified chronic diseases in inner-city seniors. J Am Geriatr Soc. 2009;57(7):1219–25. Epub 2009 May 21

    Article  Google Scholar 

  • Pakhomov SV, Jacobsen SJ, Chute CG, Roger VL. Agreement between patient-reported symptoms and their documentation in the medical record. Am J Manag Care. 2008;14(8):530–9.

    PubMed  PubMed Central  Google Scholar 

Standardized/Structured Messages Facilitate Efficient Information Sharing and Benefit Patient Care

  • ACC/AHA. Performance measures for adults with ST-elevation and non-ST-elevation myocardial infarction. A report of the American College of Cardiology/American Heart Association task force on performance measures (writing committee to develop performance measures for ST-elevation and non-ST-elevation myocardial infarction). Circulation. 2008;118:2596–648.

    Article  Google Scholar 

  • American Diabetes Association. Standards of medical care in diabetes – 2011. Diabetes Care. 2011;34(Suppl 1):S11–61.

    Article  Google Scholar 

  • Baddour Larry M, Bettmann Michael A, Bolger Ann F, et al. Nonvalvular cardiovascular device-related infections AHA scientific statement—2003. Circulation. 2003;108:2015.

    Article  CAS  Google Scholar 

  • Baddour Larry M, Epstein Andrew E, Erickson Christopher C, et al. Update on cardiovascular implantable electronic device infections and their management a scientific statement from the American Heart Association 2010, endorsed by the Heart Rhythm Society. Circulation. 2010;121:458–77.

    Article  CAS  Google Scholar 

  • Bonow RO, Carabello BA, Kanu C, et al. ACC/AHA 2006 guidelines for the management of patients with valvular heart disease: a report of the American College of Cardiology/American Heart Association task force on practice guidelines (writing committee to revise the 1998 guidelines for the management of patients with valvular heart disease): developed in collaboration with the society of cardiovascular anesthesiologists: endorsed by the society for cardiovascular angiography and interventions and the society of thoracic surgeons. Circulation. 2006;114(5):e84–231.

    Article  Google Scholar 

  • Dajani AS, Taubert KA, Wilson W, et al. Prevention of bacterial endocarditis. Recommendations by the American Heart Association. Circulation. 1997;96(1):358–66.

    Article  CAS  Google Scholar 

  • Douketis JD, Berger PB, Dunn AS, et al. The perioperative management of antithrombotic therapy: American college of chest physicians evidence-based clinical practice guidelines (8th edition). Chest. 2008;133(6 Suppl):299S–339.

    Article  CAS  Google Scholar 

  • Eckardt KU, Berns JS, Rocco MV, Kasiske BL. Definition and classification of CKD: the debate should be about patient prognosis—a position statement from KDOQI and KDIGO. Am J Kidney Dis. 2009;53(6):915–20.

    Article  Google Scholar 

  • Field MJ, Lohr KN, editors. Clinical practice guidelines: directions for a new program, institute of medicine. Washington, DC: National Academy Press; 1990. p. 38.

    Google Scholar 

  • Fleisher LA, Beckman JA, Brown KA, et al. ACC/AHA 2007 guidelines on perioperative cardiovascular evaluation and care for noncardiac surgery: a report of the American College of Cardiology/American Heart Association task force on practice guidelines (writing committee to revise the 2002 guidelines on perioperative cardiovascular evaluation for noncardiac surgery) developed in collaboration with the American society of echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society for Vascular Medicine and Biology, and Society for Vascular Surgery. J Am Coll Cardiol. 2007a;50(17):e159–241.

    Article  Google Scholar 

  • Geist SM, Geist JR. Improvement in medical consultation responses with a structured request form. J Dent Educ. 2008a;72(5):553–61.

    PubMed  Google Scholar 

  • Grines CL, Bonow RO, Casey DE Jr, et al. Prevention of premature discontinuation of dual antiplatelet therapy in patients with coronary artery stents: a science advisory from the American Heart Association, American College of Cardiology, Society for cardiovascular angiography and interventions, American College of Surgeons, and American Dental Association, with representation from the American College of Physicians. Circulation. 2007;115(6):813–8.

    Article  Google Scholar 

  • Kidney Disease Outcome Quality Initiative. K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis. 2002;39:S1–246.

    Google Scholar 

  • Lenfant C, Chobanian AV, Jones DW, et al. Seventh report of the joint national committee on the prevention, detection, evaluation, and treatment of high blood pressure (JNC 7): resetting the hypertension sails. Hypertension. 2003;41(6):1178–9.

    Article  CAS  Google Scholar 

  • Lessard E, Glick M, Ahmed S, Saric M. The patient with a heart murmur: evaluation, assessment and dental considerations. J Am Dent Assoc. 2005;136:347–56.

    Article  Google Scholar 

  • Levey AS, Eckardt KU, Tsukamoto Y, et al. Definition and classification of chronic kidney disease: a position statement from kidney disease: improving global outcomes (KDIGO). Kidney Int. 2005;67:2089–100.

    Article  Google Scholar 

  • Levey AS, de Jong PE, Coresh J, et al. The definition, classification and prognosis of chronic kidney disease: a KDIGO controversies conference report. Kidney Int. 2011;80(1):17–28.

    Article  Google Scholar 

  • Moser M. Historical perspectives on the management of hypertension. J Clin Hypertens. 2006;8(8 Suppl 2):15–20.

    Article  Google Scholar 

  • National Cancer Institute. Oral complications of chemotherapy and head/neck radiation PDQ. Bethesda: National Institutes of Health; 2010. Available at: http://www.cancer.gov/cancertopics/pdq/supportivecare/oralcomplications/HealthProfessional. Accessed 10 June 2018

    Google Scholar 

  • National Cancer Institute. PDQ® oral complications of chemotherapy and head/neck radiation. Bethesda: National Cancer Institute; 2011. http://cancer.gov/cancertopics/pdq/supportivecare/oralcomplications/HealthProfessional. Accessed 8 May 2011

    Google Scholar 

  • O’Malley AS, Reschovsky JD. Referral and consultation communication between primary care and specialist physicians. Arch Intern Med. 2011a;171(1):56–65.

    Article  Google Scholar 

  • Peterson P, Hayes TE, Arkin CF, et al. The preoperative bleeding time test lacks clinical benefit: College of American Pathologists’ and American Society of Clinical Pathologists’ position article. Arch Surg. 1998;133(2):134–9.

    Article  CAS  Google Scholar 

  • Wann LS, Curtis AB, Ellenbogen KA, et al. ACCF/AHA/HRS focused update on the management of patients with atrial fibrillation (update on dabigatran): a report of the American College of Cardiology Foundation/American Heart Association task force on practice guidelines. J Am Coll Cardiol. 2011;57(11):1330–7. Epub 2011 Feb 14

    Article  Google Scholar 

  • Wilson W, Taubert KA, Gewitz M, et al. Prevention of infective endocarditis: guidelines from the American Heart Association. Circulation. 2007a;116(15):1736–54.

    Article  Google Scholar 

Designing and Implementing Efficient Structured Communication Among a Patient’s Medical and Dental Providers

  • Chen AH, Yee HF Jr. Improving primary care-specialty care communication: lessons from San Francisco’s safety net: comment on “referral and consultation communication between primary care and specialist physicians”. Arch Intern Med. 2011;171(1):65–7.

    Article  Google Scholar 

  • Fleisher LA, Beckman JA, Brown KA, et al. ACC/AHA 2007 guidelines on perioperative cardiovascular evaluation and care for noncardiac surgery: a report of the American College of Cardiology/American Heart Association task force on practice guidelines (writing committee to revise the 2002 guidelines on perioperative cardiovascular evaluation for noncardiac surgery) developed in collaboration with the American society of echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society for Vascular Medicine and Biology, and Society for Vascular Surgery. J Am Coll Cardiol. 2007b;50(17):e159–241.

    Article  Google Scholar 

  • Geist SM, Geist JR. Improvement in medical consultation responses with a structured request form. J Dent Educ. 2008b;72(5):553–61.

    PubMed  Google Scholar 

  • O’Malley AS, Reschovsky JD. Referral and consultation communication between primary care and specialist physicians. Arch Intern Med. 2011b;171(1):56–65.

    Article  Google Scholar 

  • Stoves J, Connolly J, Cheung CK, et al. Electronic consultation as an alternative to hospital referral for patients with chronic kidney disease: a novel application for networked electronic health records to improve the accessibility and efficiency of healthcare. Qual Saf Health Care. 2010;19(5):e54.

    PubMed  Google Scholar 

  • Wilson W, Taubert KA, Gewitz M, et al. Prevention of infective endocarditis: guidelines from the American Heart Association. Circulation. 2007b;116(15):1736–54.

    Article  Google Scholar 

Towards an Integrated Electronic Health (EHR) System: Compliance, Security and Privacy Concerns

  • Austin A, Smith B, Williams L. Towards improved security criteria for certification of electronic health record systems. In Proceedings of SEHC’10, Cape Town; 3–4 May 2010.

  • Baumer DL, Earp JB, Payton FC. Privacy of medical records: IT implications of HIPAA. ACM Comput Soc. 2000;30(4):40–7.

    Article  Google Scholar 

  • Benaloh J, Chase M, Horvitz E, Lauter K. Patient controlled encryption: ensuring privacy of electronic medical records. CCSW’09. Chicago, 13 Nov 2009.

    Google Scholar 

  • Brown B. Improving the privacy and security of personal health records. J Health Care Compliance. 2009;11(2):39–40. 68

    Google Scholar 

  • Cannoy S, Salam A. A framework for healthcare information assurance policy and compliance. Commun ACM. 2010;53(3):126–31.

    Article  Google Scholar 

  • Choi Y, Caption K, Krause J, Streeper M. Challenges associated with privacy in health care industry: implementation of HIPAA and the security rules. J Med Syst. 2006;30(1):57–64.

    Article  Google Scholar 

  • Dimitropoulos L, Rizk S. A state-based approach to privacy and security for interoperable health information exchange. Health Aff (Millwood). 2009;28(2):428–34.

    Article  Google Scholar 

  • Goldschmidt PG. HIT and MIS: implications of health information technology and medical information systems. Commun ACM. 2005;48(10):69–74.

    Article  Google Scholar 

  • Groen P, Powell VJH. Electronic dental records (EDR): ‘open source’ and commercial-off-the shelf (COTS) solutions. Virtual Medical Worlds. 2010. http://www.hoise.com/vmw/10/articles/vmw/LV-VM-08-10-5.html. 23 Aug 2010.

  • Huston T. Security issues for implementation of e-medical records. Commun ACM. 2001;44(9) https://doi.org/10.1145/383694.383712.

  • Jha AK, DesRoches CM, Campbell EG, et al. Use of electronic health records in U.S. hospitals. N Engl J Med. 2009;360:1628–38.

    Article  CAS  Google Scholar 

  • Kurtz G. EMR confidentiality and information security. J Health Inf Manag. 2003;17(3):41–8.

    Google Scholar 

  • Liu V, May L, Caelli W, Croll P. A sustainable approach to security and privacy in health information systems. In Proceedings of 18th Australasian conference on information systems security & privacy in health IS, Toowoomba, 5–7 Dec 2007.

  • Mishra S, Chin AG. Assessing the impact of governmental regulations on the IT industry: a neoinstitutional theory perspective. In Subramanian R, editor. Computer security privacy politics. 2008:36–53.

    Google Scholar 

  • Office of the National Coordinator for Health Information Technology. Health IT dashboard. 2018. https://dashboard.healthit.gov/quickstats/quickstats.php. Accessed 16 June 2018.

  • U.S. Department of Health and Human Services. Nationwide privacy and security framework for electronic exchange of individually identified health information 2008. 2011. www.hhs.gov/healthit/documents/NationwidePS_Framework.pdf. Accessed 23 Feb 2011.

  • U.S. Department of Health and Human Services. HITECH Act enforcement interim final rule. 2009. http://www.hhs.gov/ocr/privacy/hipaa/administrative/enforcementrule/hitechenforcementifr.html. Accessed 23 Feb 2011.

Matching Patients to Achieve Unique Patient Identification

  • Blakely T, Salmond C. Probabilistic record linkage and a method to calculate the positive predictive value. Int J Epidemiol. 2002;31(6):1246–52.

    Article  Google Scholar 

  • Gill L, Goldacre M, Simmons H, et al. Computerised linking of medical records: methodological guidelines. J Epidemiol Community Health. 1993;47(4):316–9.

    Article  CAS  Google Scholar 

  • Liu S. Development of record linkage of hospital discharge data for the study of neonatal readmission. Chronic Dis Can. 1999;20(2):77–81.

    CAS  PubMed  Google Scholar 

  • Roos LL, Wajda A. Record linkage strategies. Part I: Estimating information and evaluating approaches. Methods Inf Med. 1991;30(2):117–23.

    Article  CAS  Google Scholar 

  • Theis MK, et al. Case study of linking dental and medical healthcare records. Am J Manag Care. 2010;16(2):e51–6.

    PubMed  Google Scholar 

Improved Electronic Healthcare Technologies (EHT) Through the Harmonization of Application Design and Clinician Needs

  • Allen M, Currie LM, Graham M, et al. The classification of clinicians’ information needs while using a clinical information system. AMIA Annu Symp Proc. 2003;2003:26–30.

    PubMed Central  Google Scholar 

  • Armijo D, McDonnell C, Werner K (2009) Electronic health record usability: interface design considerations. AHRQ Publication No. 09(10)-0091-2-EF. Rockville: Agency for Healthcare Research and Quality.

    Google Scholar 

  • Covell DG, Uman GC, Manning PR. Information needs in office practice: are they being met? Ann Intern Med. 1985;103(4):596–9.

    Article  CAS  Google Scholar 

  • Horsky J, Kuperman GJ, Patel VL (2005) Comprehensive analysis of a medication dosing error related to CPOE. J Am Med Inform Assoc; 12(4):377–382.

    Article  Google Scholar 

  • Koppel R, Metlay JP, Cohen A, et al. Role of computerized physician order entry systems in facilitating medication errors. JAMA. 2005;293(10):1197–203.

    Article  CAS  Google Scholar 

Electronic Decision Support in Medicine and Dentistry

  • Bader JD, Shugars DA. What do we know about how dentists make caries-related treatment decisions? Community Dent Oral Epidemiol. 1997a;25(1):97–103.

    Article  CAS  Google Scholar 

  • Bader JD, Shugars DA. A case for diagnoses. J Am Coll Dent. 1997b;64(3):44–6.

    CAS  PubMed  Google Scholar 

  • Bankowitz RA, et al. A computer-assisted medical diagnostic consultation service. Implementation and prospective evaluation of a prototype. Ann Intern Med. 1989;110(10):824–32.

    Article  CAS  Google Scholar 

  • Crespo KE, Torres JE, Recio ME. Reasoning process characteristics in the diagnostic skills of beginner, competent, and expert dentists. J Dent Educ. 2004;68(12):1235–44.

    PubMed  Google Scholar 

  • Garg AX, Adhikari NKJ, McDonald H, et al. Effects of computerized clinical decision support systems on practitioner performance and patient outcomes. A systematic review. JAMA. 2005;293(10):1223–38.

    Article  CAS  Google Scholar 

  • Ledley RS, Lusted LB. Reasoning foundations of medical diagnosis; symbolic logic, probability, and value theory aid our understanding of how physicians reason. Science. 1959;130(3366):9–21.

    Article  CAS  Google Scholar 

  • Melkos AB. Advances in digital technology and orthodontics: a reference to the invisalign method. Med Sci Monit. 2005;11(5):PI39–42.

    PubMed  Google Scholar 

  • Mendonca EA. Clinical decision support systems: perspectives in dentistry. J Dent Educ. 2004;68(6):589–97.

    PubMed  Google Scholar 

  • Mickan S, Atherton H, Roberts NW, et al. Use of handheld computers in clinical practice: a systematic review. BMC Med Inform Decis Mak. 2014;14:56. https://doi.org/10.1186/1472-6947-14-56.

    Article  PubMed  PubMed Central  Google Scholar 

  • Mickan S, Tilson JK, Atherton H, et al. Evidence of effectiveness of health care professionals using handheld computers: a scoping review of systematic reviews. Med Internet Res. 2013;15(10):e212. https://doi.org/10.2196/jmir.2530.

    Article  Google Scholar 

  • Okuda T, Yoshida T, Hotta M (1997) A dental condition prediction system with artificial neural networks and fuzzy inference systems. Orlando: IEEE.

    Book  Google Scholar 

  • Oosterkamp BC, Wafae A, Schols JG, et al. Effectiveness of a clinical guideline to improve dental health among orthodontically treated patients: study protocol for a cluster randomized controlled trial. Trials. 2016;17(1):201. https://doi.org/10.1186/s13063-016-1325-1.

    Article  PubMed  PubMed Central  Google Scholar 

  • Rudin JL. DART (diagnostic Aid and resource tool): a computerized clinical decision support system for oral pathology. Compendium. 1994;15(11):1316. 1318, 1320 passim

    CAS  PubMed  Google Scholar 

  • Sciubba JJ. Improving detection of precancerous and cancerous oral lesions. Computer-assisted analysis of the oral brush biopsy. U.S. Collaborative OralCDx Study Group. J Am Dent Assoc. 1999;130(10):1445–57.

    Article  CAS  Google Scholar 

  • Shortliffe EH. Medical informatics: computer applications in health care and biomedicine. 2nd ed. New York: Springer; 2001. p. xxvii, p. 854

    Book  Google Scholar 

  • Sox HC. Medical decision making. Boston: Butterworths; 1988. p. 406.

    Google Scholar 

  • Varghese J, Kleine M, Gessner SI, et al. Effects of computerized decision support system implementations on patient outcomes in inpatient care: a systematic review. J Am Med Inform Assoc. 2018;25(5):593–602. https://doi.org/10.1093/jamia/ocx100.

    Article  PubMed  Google Scholar 

  • Walker GF. Cephalometrics and the computer. J Dent Res. 1967;46(6):1211.

    Article  CAS  Google Scholar 

  • Warner HR, Toronto AF, Veasy LG. Experience with Baye’s theorem for computer diagnosis of congenital heart disease. Ann N Y Acad Sci. 1964;115:558–67.

    Article  CAS  Google Scholar 

  • Weed LL. Knowledge coupling: new premises and new tools for medical care and education. New York: Springer; 1991. p. xxv, p. 362

    Book  Google Scholar 

  • White SC. Computer-aided differential diagnosis of oral radiographic lesions. Dentomaxillofac Radiol. 1989;18(2):53–9.

    Article  CAS  Google Scholar 

  • White SC. Decision-support systems in dentistry. J Dent Educ. 1996;60(1):47–63.

    CAS  PubMed  Google Scholar 

Download references

Disclaimer

The views presented in this chapter are solely of the authors and do not necessarily represent the views of the US Government, Department of Health and Human Services and/or the Centers for Disease Control and Prevention.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Miguel H. Torres-Urquidy .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Torres-Urquidy, M.H., Powell, V., Geist, SM.R.Y., Mishra, S., Chaudhari, M., Allen, M. (2019). Health Information Technology Considerations of Medical and Dental Data Integration. In: Acharya, A., Powell, V., Torres-Urquidy, M., Posteraro, R., Thyvalikakath, T. (eds) Integration of Medical and Dental Care and Patient Data. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-319-98298-4_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-98298-4_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98296-0

  • Online ISBN: 978-3-319-98298-4

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics