Top

Published in:

01-08-2006 | Original Paper

Potential Impact of Advanced Clinical Information Technology on Cancer Care in 2015

Author: Dean F. Sittig

Published in: Cancer Causes & Control | Issue 6/2006

Abstract

New clinical information technologies now sporadically available will soon be in routine clinical use, bringing many changes to all phases of the cancer care continuum. For example, new technologies such as: (1) The next generation Internet; (2) Real-time clinical decision support systems; (3) Off-line, population-based systems; (4) Large, integrated, individual patient-level phenotypic and genotypic databases with intelligent data mining capabilities; (5) Wireless, invasive and non-invasive physiologic monitoring devices; (6) Natural Language Processing (NLP) systems; and (7) Mathematical models of complex biological systems all have the potential to impact significantly the provision of cancer care throughout its continuum. While new information management and communication techniques and technologies will reduce many of the inefficiencies and inaccuracies of our present systems, there will be an equal, and potentially far more dangerous, set of unintended consequences. Informatics investigators, cancer specialists, and health system administrators must focus on the study of what is working and what is not, as well as, on development and testing of the new clinical information management and communication technologies, if we are to be ready for the future.

Haux, R, Ammenwerth, E, Herzog, W, Knaup, P 2002Health care in the information society. A prognosis for the year 2013Int J Med Inf66321Nov 20CrossRef

Zakon RH. Hobbes’ Internet Timeline v8.0 (cited 5/10/05) Available from: http://www.zakon.org/robert/internet/timeline/

Mandl, KD, Kohane, IS, Brandt, AM 1998Electronic patient-physician communication: problems and promiseAnn Intern Med129495500PubMed

Sittig, DF, Stead, WW 1994Computer-based physician order entry: the state of the artJ Am Med Inform Assoc1108123PubMed

Ash, JS, Gorman, PN, Seshadri, V, Hersh, WR 2004aComputerized physician order entry in U.S. hospitals: results of a 2002 surveyJ Am Med Inform Assoc119599CrossRef

Mokdad, AH, Ford, ES, Bowman, BA, Dietz, WH, Vinicor, F, Bales, VS, et al. 2003Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001JAMA2897679PubMedCrossRef

Aging in the United States: Past, Present, and Future, U.S. Department of Commerce, Bureau of the Census, 1997

Thompson, D, Brown, JB, Nichols, GA, Elmer, PJ, Oster, G 2001Body mass index and future health care costs: a retrospective cohort studyObes Res9210218PubMedCrossRef

Yang, Z, Norton, EC, Stearns, SC 2003Longevity and health care expenditures: the real reasons older people spend moreJ Gerontol B Psychol Sci Soc Sci58S2S10PubMed

10.

Halvorson, GC, Isham, GJ 2003Epidemic of CareJossey-BassSan Francisco

11.

Calle, EE, Rodriguez, C, Walker-Thurmond, K, Thun, MJ 2003Overweight, obesity, and mortality from cancer in a prospectively studied cohort of U.S. adultsN Engl J Med34816251638PubMedCrossRef

12.

Liu, L, Wylie, RC, Andrews, LG, Tollefsbol, TO 2003Aging, cancer and nutrition: the DNA methylation connectionMech Ageing Dev124989998PubMedCrossRef

13.

Shortliffe, EH 1998Health care and the next generation InternetAnn Intern Med129138140PubMed

14.

Next Generation Internet: Implementation Plan, February 1998. cited 5/10/05 Available from: http://www.hpcc.gov/pubs/ngi/implementation/

15.

Arenson, RL, Andriole, KP, Avrin, DE, Gould, RG 2000Computers in imaging and health care: now and in the futureJ Digit Imaging13145156PubMedCrossRef

16.

Rubegni, P, Burroni, M, Sbano, P, Andreassi, L 2005Digital dermoscopy analysis and internet-based program for discrimination of pigmented skin lesion dermoscopic imagesBr J Dermatol152395396PubMedCrossRef

17.

Dietel, M, Nguyen-Dobinsky, TN, Hufnagl, P 2000The UICC Telepathology Consultation Center. International Union Against Cancer. A global approach to improving consultation for pathologists in cancer diagnosisCancer89187191PubMedCrossRef

18.

Branzan Albu, A, Laurendeau, D, Gurtner, M, Martel, C 2005A web-based remote collaborative system for visualization and assessment of semi-automatic diagnosis of liver cancer from CT imagesStud Health Technol Inform1117578PubMed

19.

Lee, BR, Png, DJ, Liew, L, Fabrizio, M, Li, MK, Jarrett, JW, et al. 2000Laparoscopic telesurgery between the United States and SingaporeAnn Acad Med Singapore29665668PubMed

20.

Melvin, WS, Needleman, BJ, Krause, KR, Ellison, EC 2003Robotic resection of pancreatic neuroendocrine tumorJ Laparoendosc Adv Surg Tech A133336PubMedCrossRef

21.

Klemm, P, Bunnell, D, Cullen, M, Soneji, R, Gibbons, P, Holecek, A 2003Online cancer support groups: a review of the research literatureComput Inform Nurs21136142PubMedCrossRef

22.

Gavrin, JR 2005World Wide Web resources for cancer support groupsJ Pain Palliat Care Pharmacother196973PubMedCrossRef

23.

Lee, CT, Smith, CA, Hall, JM, Waters, WB, Biermann, JS 2003Bladder cancer facts: accuracy of information on the InternetJ Urol17017561760PubMedCrossRef

24.

Barrett S A Special Message for Cancer Patients Seeking “Alternative” Treatments. Available from: http://www.quackwatch.org/00AboutQuackwatch/altseek.html (cited 5/10/05)

25.

Bell, DS, Daly, DM, Robinson, P 2003Is there a digital divide among physicians? A geographic analysis of information technology in Southern California physician officesJ Am Med Inform Assoc10484493PubMedCrossRef

26.

Gustafson, DH, McTavish, FM, Stengle, W, Ballard, D, Jones, E, Julesberg, K, et al. 2005aReducing the digital divide for low-income women with breast cancer: a feasibility study of a population-based interventionJ Health Commun10173193

27.

Gustafson, DH, McTavish, FM, Stengle, W, Ballard, D, Hawkins, R, Shaw, BR, et al. 2005bUse and Impact of eHealth System by Low-income Women With Breast CancerJ Health Commun10195218

28.

Murray, E, Lo, B, Pollack, L, Donelan, K, Catania, J, White, M, et al. 2003The impact of health information on the internet on the physician-patient relationship: patient perceptionsArch Intern Med16317271734PubMedCrossRef

29.

Lei, J 2002Closing the loop between clinical practice, research, and education: the potential of electronic patient recordsMethods Inf Med415154PubMed

30.

Shea, S, DuMouchel, W, Bahamonde, L 1996A meta-analysis of 16 randomized controlled trials to evaluate computer-based clinical reminder systems for preventive care in the ambulatory settingJ Am Med Inform Assoc3399409PubMed

31.

Nieminen, P, Hakama, M, Viikki, M, Tarkkanen, J, Anttila, A 2003Prospective and randomised public-health trial on neural network-assisted screening for cervical cancer in Finland: results of the first yearInt J Cancer103422426PubMedCrossRef

32.

Jamora, MJ, Wainwright, BD, Meehan, SA, Bystryn, JC 2003Improved identification of potentially dangerous pigmented skin lesions by computerized image analysisArch Dermatol139195198PubMedCrossRef

33.

Morris AH, Wallace CJ, Menlove RL, Clemmer TP, Orme JF Jr, Weaver LK et al. Randomized clinical trial of pressure-controlled inverse ratio ventilation and extracorporeal CO2 removal for adult respiratory distress syndrome. Am J Respir Crit Care Med 1994 Feb;149(2 Pt 1):295–305. Erratum in: Am J Respir Crit Care Med 1994 Mar;149(3 Pt 1):838

34.

Bottaci, L, Drew, PJ, Hartley, JE, Hadfield, MB, Farouk, R, Lee, PW, et al. 1997Artificial neural networks applied to outcome prediction for colorectal cancer patients in separate institutionsLancet350469472PubMedCrossRef

35.

Grann, VR, Sundararajan, V, Jacobson, JS, Whang, W, Heitjan, DF, Antman, KH, Neugut, AI 2000Decision analysis of tamoxifen for the prevention of invasive breast cancerCancer J6169178PubMed

36.

Breitfeld, PP, Dale, T, Kohne, J, Hui, S, Tierney, WM 2001Accurate case finding using linked electronic clinical and administrative data at a children’s hospitalJ Clin Epidemiol5410371045PubMedCrossRef

37.

Hoch, I, Heymann, AD, Kurman, I, Valinsky, LJ, Chodick, G, Shalev, V 2003Country-wide computer alerts to community physicians improve potassium testing in patients receiving diureticsJ Am Med Inform Assoc10541546PubMedCrossRef

38.

Zlotta, AR, Remzi, M, Snow, PB, Schulman, CC, Marberger, M, Djavan, B 2003An artificial neural network for prostate cancer staging when serum prostate specific antigen is 10 ng/ml. or lessJ Urol16917241728PubMedCrossRef

39.

Dieckmann, K, Potter, R, Wagner, W, Prott, FJ, Hornig-Franz, I, Rath, B, et al. 2002Up-front centralized data review and individualized treatment proposals in a multicenter pediatric Hodgkin’s disease trial with 71 participating hospitals: the experience of the German–Austrian pediatric multicenter trial DAL-HD-90Radiother Oncol62191200PubMedCrossRef

40.

Dolin, RH, Alschuler, L, Boyer, S, Beebe, C, Behlen, FM, Biron, PV, et al. 2006HL7 Clinical Document Architecture, Release 2J Am Med Inform Assoc13309PubMedCrossRef

41.

Breitfeld, PP, Weisburd, M, Overhage, JM, Sledge, G,Jr, Tierney, WM 1999Pilot study of a point-of-use decision support tool for cancer clinical trials eligibilityJ Am Med Inform Assoc6466477PubMed

42.

Peleg, M, Boxwala, A.A, Tu, S, Zeng, Q, Ogunyemi, O, Wang, D, et al. 2004The InterMed approach to sharable computer-interpretable guidelines: a reviewJ Am Med Inform Assoc11110PubMedCrossRef

43.

Davis, FG, McCarthy, BJ, Berger, MS 1999Centralized databases available for describing primary brain tumor incidence, survival, and treatment: Central Brain Tumor Registry of the United States; Surveillance, Epidemiology, and End Results; and National Cancer Data BaseNeuro-oncol1205211PubMedCrossRef

44.

Howe, HL, Edwards, BK, Young, JL, Shen, T, West, DW, Hutton, M, et al. 2003A vision for cancer incidence surveillance in the United StatesCancer Causes Control14663672PubMedCrossRef

45.

Izquierdo, JN, Schoenbach, VJ 2000The potential and limitations of data from population-based state cancer registriesAm J Public Health90695698PubMedCrossRef

46.

Covitz, PA, Hartel, F, Schaefer, C, Coronado, S, Fragoso, G, Sahni, H, et al. 2003caCORE: a common infrastructure for cancer informaticsBioinformatics1924042412PubMedCrossRef

47.

Stead, WW, Kelly, BJ, Kolodner, RM 2005Achievable steps toward building a National Health Information infrastructure in the United StatesJ Am Med Inform Assoc12113120PubMedCrossRef

48.

Hoos, A, Cordon-Cardo, C 2001Tissue microarray profiling of cancer specimens and cell lines: opportunities and limitationsLab Invest8113311338PubMed

49.

Altman, RB, Klein, TE 2002Challenges for biomedical informatics and pharmacogenomicsAnnu Rev Pharmacol Toxicol42113133PubMedCrossRef

50.

Gillanders, EM, Masiello, A, Gildea, D, Umayam, L, Duggal, P, Jones, MP, et al. 2004GeneLink: a database to facilitate genetic studies of complex traitsBMC Genomics58195PubMedCrossRef

51.

Tung, WL, Quek, C 2005GenSo-FDSS: a neural-fuzzy decision support system for pediatric ALL cancer subtype identification using gene expression dataArtif Intell Med336188PubMedCrossRef

52.

Daimon, M, Ji, G, Saitoh, T, Oizumi, T, Tominaga, M, Nakamura, T, et al. 2003Large-scale search of SNPs for type 2 DM susceptibility genes in a Japanese populationBiochem Biophys Res Commun302751758PubMedCrossRef

53.

Topel, T, Scholz, U, Mischke, U, Scheible, D, Hofestadt, R, Trefz, F 2002Supporting genotype-phenotype correlation with the rare metabolic diseases databaseRamedis In Silico Biol2407414

54.

Hohenstein, P, Fodde, R 2003Of mice and (wo)men: genotype-phenotype correlations in BRCA1Hum Mol Genet12R271R277PubMedCrossRef

55.

Dugas, M, Schoch, C, Schnittger, S, Kohlmann, A, Kern, W, Haferlach, T, et al. 2002Impact of integrating clinical and genetic informationIn Silico Biol2383391PubMed

56.

Collins, FS, McKusick, VA 2001Implications of the Human Genome Project for medical scienceJAMA285540544PubMedCrossRef

57.

Pollard, JK, Fry, ME, Rohman, S, Santarelli, C, Theodorou, A, Mohoboob, N 2002Wireless and Web-based medical monitoring in the homeMed Inform Internet Med27219227PubMedCrossRef

58.

Yamakoshi, K 2000Unconstrained physiological monitoring in daily living for health careFront Med Biol Eng10239259PubMedCrossRef

59.

Miller, BL 2005Interfacing biology and computing for health: the future of home diagnosticsStud Health Technol Inform1186678PubMed

60.

Cathala, N, Brillat, F, Mombet, A, Lobel, E, Prapotnich, D, Alexandre, L, et al. 2003Patient follow-up after radical prostatectomy by internet medical fileJ Urol17022842287PubMedCrossRef

61.

Hazlehurst, BL, Frost, RH, Sittig, DF, Stevens, VJ 2005aMediClass: a system for detecting and classifying encounter-based clinical events in any EMRJ Am Med Inform Assoc12517529CrossRef

62.

Hazlehurst, B, Sittig, DF, Stevens, VJ, Smith, KS, Hollis, JF, Vogt, TM, et al. 2005bNatural language processing in the electronic medical record assessing clinician adherence to tobacco treatment guidelinesAm J Prev Med29434439CrossRef

63.

Xu, H, Anderson, K, Grann, VR, Friedman, C 2004Facilitating cancer research using natural language processing of pathology reportsMedinfo11565572PubMed

64.

Bates, DW, Evans, RS, Murff, H, Stetson, PD, Pizziferri, L, Hripcsak, G 2003Detecting adverse events using information technologyJ Am Med Inform Assoc10115128PubMedCrossRef

65.

Hripcsak, G, Austin, JH, Alderson, PO, Friedman, C 2002Use of natural language processing to translate clinical information from a database of 889,921 chest radiographic reportsRadiology224157163PubMed

66.

Kostoff, RN 2003Bilateral asymmetry predictionMed Hypotheses61265266PubMedCrossRef

67.

Breton, V, Medina, R, Montagnat, J 2003DataGrid, prototype of a biomedical gridMethods Inf Med42143147PubMed

68.

Schlessinger, L, Eddy, DM 2002Archimedes: a new model for simulating health care systems–the mathematical formulationJ Biomed Inform353750PubMedCrossRef

69.

Goldie, SJ, Grima, D, Kohli, M, Wright, TC, Weinstein, M, Franco, E 2003A comprehensive natural history model of HPV infection and cervical cancer to estimate the clinical impact of a prophylactic HPV-16/18 vaccineInt J Cancer106896904PubMedCrossRef

70.

Gardner, SN 2002Modeling multi-drug chemotherapy: tailoring treatment to individualsJ Theor Biol214181207PubMedCrossRef

71.

Gardner SN, Fernandes M (2003) New tools for cancer chemotherapy: computational assistance for tailoring treatments. Mol Cancer Ther 2(10):1079–1084PubMed

72.

Crossing the quality chasm: a new health system for the 21st century. Committee on Quality of Health Care in America. National Academy of Sciences; 2003

73.

Tenner, E. 1997Why things bite back: technology and the revenge of unintended consequencesRandom HouseNY

74.

Ash, JS, Berg, M, Coiera, E 2004bSome unintended consequences of information technology in health care: the nature of patient care information system-related errorsJ Am Med Inform Assoc11104112CrossRef

75.

Dick, RS, Steen, EB 1991The computer-based patient record: an essential technology for health careNational Academy PressWashington, D.C

76.

Lee, F, Teich, JM, Spurr, CD, Bates, DW 1996Implementation of physician order entry: user satisfaction and self-reported usage patternsJ Am Med Inform Assoc34255PubMed

77.

Dykstra R (2002) Computerized physician order entry and communication: reciprocal impacts. Proc AMIA Symp 230–234

78.

Hazlehurst BL, McMullen, C. Sittig, DF (2003) How the ICU follows orders: care delivery as a complex activity system. Proc. Am Med Inform Assoc 284–288

79.

Koppel, R, Metlay, JP, Cohen, A, Abaluck, B, Localio, AR, Kimmel, SE, et al. 2005Role of computerized physician order entry systems in facilitating medication errorsJAMA29311971203PubMedCrossRef

80.

Han, YY, Carcillo, JA, Venkataraman, ST, Clark, RS, Watson, RS, Nguyen, TC, et al. 2005Unexpected increased mortality after implementation of a commercially sold computerized physician order entry systemPediatrics11615061512PubMedCrossRef

81.

Greenwald, R 2005...And a diagnostic test was performedN Engl J Med35320892090PubMedCrossRef

82.

Sittig Krall, DF. M, Kaalaas-Sittig Ash, J. JS 2005Emotional aspects of Computer-based Provider Order Entry: a qualitative studyJ Am Med Inform Assoc12561567CrossRef

83.

Glaser JP (2002) The strategic application of information technology in health care organizations. Jossey-Bass Health Series, Wiley, John & Sons, Inc

84.

Ash, JS, Gorman, PN, Lavelle, M, Payne, TH, Massaro, TA, Frantz, GL, et al. 2003A cross-site qualitative study of physician order entryJ Am Med Inform Assoc10188200PubMedCrossRef

Title: Potential Impact of Advanced Clinical Information Technology on Cancer Care in 2015
Author: Dean F. Sittig
Publication date: 01-08-2006
Publisher: Kluwer Academic Publishers
Published in: Cancer Causes & Control / Issue 6/2006
Print ISSN: 0957-5243
Electronic ISSN: 1573-7225
DOI: https://doi.org/10.1007/s10552-006-0020-z

Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Watch now

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras

Prof. Fabrice Barlesi

Developed by: Springer Medicine

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Please log in to get access to this content

Other articles of this Issue 6/2006

Travel Distance and Season of Diagnosis Affect Treatment Choices for Women with Early-stage Breast Cancer in A Predominantly Rural Population (United States)

Re: Foulds and Ramstrom: Cancer Causes and Control 17: 227–228 (2006) and Henley et al., Cancer Causes and Control 16: 347–358 (2005). How Smokeless Tobacco can Cause Lung Cancer

Recreational Physical Activity and Prostate Cancer Risk (United States)

Response to: Foulds J and Ramstrom L Letter Regarding “Causal Effects of Smokeless Tobacco on Mortality in CPS-I and CPS-II”

Cancer and Occupational Exposure to Pentachlorophenol and Tetrachlorophenol (Canada)

A Prospective Study of Dietary Alpha-linolenic Acid and the Risk of Prostate Cancer (United States)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer