Personalization and Patient Involvement in Decision Support Systems: Current Trends

OBJECTIVES This survey aims at highlighting the latest trends (2012-2014) on the development, use, and evaluation of Information and Communication Technologies (ICT) based decision support systems (DSSs) in medicine, with a particular focus on patient-centered and personalized care. METHODS We considered papers published on scientific journals, by querying PubMed and Web of ScienceTM. Included studies focused on the implementation or evaluation of ICT-based tools used in clinical practice. A separate search was performed on computerized physician order entry systems (CPOEs), since they are increasingly embedding patient-tailored decision support. RESULTS We found 73 papers on DSSs (53 on specific ICT tools) and 72 papers on CPOEs. Although decision support through the delivery of recommendations is frequent (28/53 papers), our review highlighted also DSSs only based on efficient information presentation (25/53). Patient participation in making decisions is still limited (9/53), and mostly focused on risk communication. The most represented medical area is cancer (12%). Policy makers are beginning to be included among stakeholders (6/73), but integration with hospital information systems is still low. Concerning knowledge representation/management issues, we identified a trend towards building inference engines on top of standard data models. Most of the tools (57%) underwent a formal assessment study, even if half of them aimed at evaluating usability and not effectiveness. CONCLUSIONS Overall, we have noticed interesting evolutions of medical DSSs to improve communication with the patient, consider the economic and organizational impact, and use standard models for knowledge representation. However, systems focusing on patient-centered care still do not seem to be available at large.

[1]  Kensaku Kawamoto,et al.  Key principles for a national clinical decision support knowledge sharing framework: synthesis of insights from leading subject matter experts , 2013, J. Am. Medical Informatics Assoc..

[2]  R. Mather,et al.  Using Evidence-based Algorithms to Improve Clinical Decision Making: The Case of a First-time Anterior Shoulder Dislocation , 2013, Sports medicine and arthroscopy review.

[3]  S. Seltzer,et al.  Adoption and meaningful use of computerized physician order entry with an integrated clinical decision support system for radiology: ten-year analysis in an urban teaching hospital. , 2012, Journal of the American College of Radiology : JACR.

[4]  Kevin B. Johnson,et al.  Implementation and evaluation of an integrated computerized asthma management system in a pediatric emergency department: A randomized clinical trial , 2014, Int. J. Medical Informatics.

[5]  Yaw-Bin Huang,et al.  Effectiveness of an integrated CPOE decision-supporting system with clinical pharmacist monitoring practice in preventing antibiotic dosing errors. , 2012, International journal of clinical pharmacology and therapeutics.

[6]  Diego Boscá,et al.  Interoperability of clinical decision-support systems and electronic health records using archetypes: A case study in clinical trial eligibility , 2013, J. Biomed. Informatics.

[7]  Giner Alor-Hernández,et al.  Analysis of a Multilevel Diagnosis Decision Support System and Its Implications: A Case Study , 2012, Comput. Math. Methods Medicine.

[8]  Andrew W. Steele,et al.  Design and Use of a Joint Order Vocabulary Knowledge Representation Tier in a Multi-tier CPOE Architecture , 2006, AMIA.

[9]  Shahram Tofighi,et al.  Attitude of Iranian physicians and nurses toward a clinical decision support system for pulmonary embolism and deep vein thrombosis , 2014, Comput. Methods Programs Biomed..

[10]  Silvana Quaglini,et al.  From decision to shared-decision: Introducing patients' preferences into clinical decision analysis , 2015, Artif. Intell. Medicine.

[11]  Andrew C. Miller,et al.  Brain death and Islam: the interface of religion, culture, history, law, and modern medicine. , 2014, Chest.

[12]  Linas Simonaitis,et al.  Regenstrief Institute's Medical Gopher: A next-generation homegrown electronic medical record system , 2014, Int. J. Medical Informatics.

[13]  Rainer Sauerborn,et al.  “Quality of prenatal and maternal care: bridging the know-do gap” (QUALMAT study): an electronic clinical decision support system for rural Sub-Saharan Africa , 2013, BMC Medical Informatics and Decision Making.

[14]  A Winkelmann,et al.  A Web-based tool for personalized prediction of long-term disease course in patients with multiple sclerosis , 2012, European journal of neurology.

[15]  Seza Orcun,et al.  Validation of a Novel Approach for Dose Individualization in Pharmacotherapy Using Gabapentin in a Proof of Principles Study , 2013, Pharmacotherapy.

[16]  Allen Kachalia,et al.  Defensive medicine--legally necessary but ethically wrong?: Inpatient stress testing for chest pain in low-risk patients. , 2013, JAMA internal medicine.

[17]  V. Hasselblad,et al.  Effect of Clinical Decision-Support Systems , 2012, Annals of Internal Medicine.

[18]  T. S. Raghu,et al.  Impact of CPOE Usage on Medication Management Process Costs and Quality Outcomes , 2013, Inquiry : a journal of medical care organization, provision and financing.

[19]  Mark W Friedberg,et al.  A demonstration of shared decision making in primary care highlights barriers to adoption and potential remedies. , 2013, Health affairs.

[20]  P. Gorman,et al.  Perceptions of Shared Decision Making and Decision Aids Among Rural Primary Care Clinicians , 2012, Medical decision making : an international journal of the Society for Medical Decision Making.

[21]  Michael G Leu,et al.  Effects of CPOE on Provider Cognitive Workload: A Randomized Crossover Trial , 2012, Pediatrics.

[22]  C. Loprinzi,et al.  Antiemetic prescribing practices using a computerized physician order entry system , 2013, Supportive Care in Cancer.

[23]  Michael G Leu,et al.  Systematic Update of Computerized Physician Order Entry Order Sets to Improve Quality of Care: A Case Study , 2013, Pediatrics.

[24]  Rafael Valencia-García,et al.  Using experts feedback in clinical case resolution and arbitration as accuracy diagnosis methodology , 2013, Comput. Biol. Medicine.

[25]  Huilong Duan,et al.  Supporting adaptive clinical treatment processes through recommendations , 2012, Comput. Methods Programs Biomed..

[26]  Ricky K. Taira,et al.  Research and applications: Imaging informatics for consumer health: towards a radiology patient portal , 2013, J. Am. Medical Informatics Assoc..

[27]  D. Triulzi,et al.  Effectiveness of a real‐time clinical decision support system for computerized physician order entry of plasma orders , 2013, Transfusion.

[28]  W M Tierney,et al.  Using computerized provider order entry to enforce documentation of tests with pending results at hospital discharge. , 2012, Applied clinical informatics.

[29]  Andrew McRae,et al.  Computerized physician order entry and decision support improves ED analgesic ordering for renal colic. , 2014, The American journal of emergency medicine.

[30]  Randolph A. Miller,et al.  Easily configured real-time CPOE Pick Off Tool supporting focused clinical research and quality improvement , 2014, J. Am. Medical Informatics Assoc..

[31]  Chad D. Meyerhoefer,et al.  “Reducing unnecessary testing in a CPOE system through implementation of a targeted CDS intervention” , 2013, BMC Medical Informatics and Decision Making.

[32]  E C Webber,et al.  Conversion of a single-facility pediatric antimicrobial stewardship program to multi-facility application with computerized provider order entry and clinical decision support , 2013, Applied Clinical Informatics.

[33]  Incorporating screening, brief intervention, and referral to treatment into emergency nursing workflow using an existing computerized physician order entry/clinical decision support system. , 2014, Journal of emergency nursing: JEN : official publication of the Emergency Department Nurses Association.

[34]  Peter Tarczy-Hornoch,et al.  Usability evaluation of pharmacogenomics clinical decision support aids and clinical knowledge resources in a computerized provider order entry system: A mixed methods approach , 2014, Int. J. Medical Informatics.

[35]  Kayvan Najarian,et al.  Biomedical Informatics for Computer-Aided Decision Support Systems: A Survey , 2013, TheScientificWorldJournal.

[36]  J. Thrall Appropriateness and imaging utilization: "computerized provider order entry and decision support". , 2014, Academic radiology.

[37]  Patricia M. L. A. van den Bemt,et al.  Cost-effectiveness of an electronic medication ordering system (CPOE/CDSS) in hospitalized patients , 2014, Int. J. Medical Informatics.

[38]  Matthew Burns,et al.  Indication-based prescribing prevents wrong-patient medication errors in computerized provider order entry (CPOE) , 2013, J. Am. Medical Informatics Assoc..

[39]  T. Bürkle,et al.  Computerized Physician Order Entry (CPOE) in pediatric and neonatal intensive care , 2012, Applied Clinical Informatics.

[40]  Ramin Khorasani,et al.  Impact of provider-led, technology-enabled radiology management program on imaging. , 2013, The American journal of medicine.

[41]  Giordano Lanzola,et al.  Data quality and completeness in a web stroke registry as the basis for data and process mining. , 2014, Journal of healthcare engineering.

[42]  Angelina Kouroubali,et al.  Diabetes Management Using Modern Information and Communication Technologies and New Care Models , 2012, Interactive journal of medical research.

[43]  U. Siebert,et al.  Application of Decision-Analytic Models in Personalized Medicine for CML Treatment Decisions Made by Payers, Providers, and Patients , 2012, Journal of managed care pharmacy : JMCP.

[44]  Janine Rogalski,et al.  A comparison of the impact of CPOE implementation and organizational determinants on doctor-nurse communications and cooperation , 2013, Int. J. Medical Informatics.

[45]  Amy P Abernethy,et al.  A universal decision support system. Addressing the decision-making needs of patients, families, and clinicians in the setting of critical illness. , 2014, American journal of respiratory and critical care medicine.

[46]  J. Choi,et al.  Enhancement of Decision Rules to Increase Generalizability and Performance of the Rule-Based System Assessing Risk for Pressure Ulcer , 2013, Applied Clinical Informatics.

[47]  Mark E. Frisse,et al.  Does Health Information Exchange Reduce Unnecessary Neuroimaging and Improve Quality of Headache Care in the Emergency Department? , 2013, Journal of General Internal Medicine.

[48]  David Riaño,et al.  An ontology-based personalization of health-care knowledge to support clinical decisions for chronically ill patients , 2012, J. Biomed. Informatics.

[49]  R. Wachter,et al.  Computerised provider order entry combined with clinical decision support systems to improve medication safety: a narrative review , 2014, BMJ quality & safety.

[50]  D. Triulzi,et al.  Trends in RBC ordering and use after implementing adaptive alerts in the electronic computerized physician order entry system. , 2014, American Journal of Clinical Pathology.

[51]  Peter Hoonakker,et al.  The effects of Computerized Provider Order Entry implementation on communication in Intensive Care Units , 2013, Int. J. Medical Informatics.

[52]  Nicholas Farmer,et al.  An update and further testing of a knowledge-based diagnostic clinical decision support system for musculoskeletal disorders of the shoulder for use in a primary care setting. , 2014, Journal of evaluation in clinical practice.

[53]  Kenji Araki,et al.  Creating personalised clinical pathways by semantic interoperability with electronic health records , 2013, Artif. Intell. Medicine.

[54]  Amy M. Knight,et al.  The Effect of Computerized Provider Order Entry on Medical Students’ Ability to Write Orders , 2012, Teaching and learning in medicine.

[55]  Tzeng-Ji Chen,et al.  Impact of a Warning CPOE System on the Inappropriate Pill Splitting of Prescribed Medications in Outpatients , 2014, PloS one.

[56]  G. Cambonie,et al.  Implementation of a neonatal pain management module in the computerized physician order entry system , 2012, Annals of Intensive Care.

[57]  Douglas S. Bell,et al.  Interface design principles for usable decision support: A targeted review of best practices for clinical prescribing interventions , 2012, J. Biomed. Informatics.

[58]  Yuval Shahar,et al.  Supporting Shared Decision Making within the MobiGuide Project , 2013, AMIA.

[59]  K. Zheng,et al.  Computerized prescriber order entry implementation in a physician assistant-managed hematology and oncology inpatient service: effects on workflow and task switching. , 2013, Journal of oncology practice.

[60]  B. Potter,et al.  The evaluation of a rectal cancer decision aid and the factors influencing its implementation in clinical practice , 2014, BMC Surgery.

[61]  Tonya Hongsermeier,et al.  A pilot study of distributed knowledge management and clinical decision support in the cloud , 2013, Artif. Intell. Medicine.

[62]  Dawn Stacey,et al.  Decision aids for people facing health treatment or screening decisions. , 2009, The Cochrane database of systematic reviews.

[63]  Nadim Anani,et al.  Retrospective checking of compliance with practice guidelines for acute stroke care: a novel experiment using openEHR’s Guideline Definition Language , 2014, BMC Medical Informatics and Decision Making.

[64]  Tsai-Chung Li,et al.  A real time online assessment system with modelized architecture on clinical infometrics for patient reported outcomes of prostate cancer , 2012, Comput. Methods Programs Biomed..

[65]  Sonal Gandhi,et al.  Evaluating an oncology systemic therapy computerized physician order entry system using international guidelines. , 2014, Journal of oncology practice.

[66]  Monique W. M. Jaspers,et al.  Physicians' Perceptions on the usefulness of contextual information for prioritizing and presenting alerts in computerized physician order entry systems , 2012, BMC Medical Informatics and Decision Making.

[67]  Mor Peleg,et al.  Computer-interpretable clinical guidelines: A methodological review , 2013, J. Biomed. Informatics.

[68]  D. Protti,et al.  CPOE with evidence-based clinical decision support improves patient outcomes: the journey to date for a Canadian hospital. , 2014, Healthcare quarterly.

[69]  R. Thomson,et al.  Decision aids for people facing health treatment or screening decisions. , 2003, The Cochrane database of systematic reviews.

[70]  R Brian Haynes,et al.  Features of effective computerised clinical decision support systems: meta-regression of 162 randomised trials , 2013, BMJ : British Medical Journal.

[71]  D. Bates,et al.  Return on investment for vendor computerized physician order entry in four community hospitals: the importance of decision support. , 2013, Joint Commission journal on quality and patient safety.

[72]  J. Crespo,et al.  A computerized physician order entry-based system to prevent hbv reactivation in patients treated with biologic agents. The prescrib project , 2015 .

[73]  J. Strouse,et al.  Computerized Physician Order Entry Improves Compliance With a Manual Exchange Transfusion Protocol in the Pediatric Intensive Care Unit , 2014, Journal of pediatric hematology/oncology.

[74]  Chih-Lin Chi,et al.  Individualized Patient-centered Lifestyle Recommendations: an Expert System for Communicating Patient Specific Cardiovascular Risk Information and Prioritizing Lifestyle Options , 2022 .

[75]  P. Lambin,et al.  Learning methods in radiation oncology ‘Rapid Learning health care in oncology’ – An approach towards decision support systems enabling customised radiotherapy’ q , 2013 .

[76]  Joseph L. Kannry,et al.  Integrating usability testing and think-aloud protocol analysis with "near-live" clinical simulations in evaluating clinical decision support , 2012, Int. J. Medical Informatics.

[77]  S Tu,et al.  Section 5: Decision Support, Knowledge Representation and Management: Decision Support, Knowledge Representation and Management in Medicine , 2006, Yearbook of Medical Informatics.

[78]  Sujit S Sansgiry,et al.  Impact of Computerized Provider Order Entry on Pharmacist Productivity , 2014, Hospital pharmacy.

[79]  Y. Kyratsis,et al.  An analysis of the development and implementation of a smartphone application for the delivery of antimicrobial prescribing policy: lessons learnt , 2012, The Journal of antimicrobial chemotherapy.

[80]  P. Dykes,et al.  An Electronic Fall Prevention Toolkit: Effect on Documentation Quality , 2012, Nursing research.

[81]  Kuo-Chen Lee,et al.  Technological Innovations in the Development of Cardiovascular Clinical Information Systems , 2010, Journal of Medical Systems.

[82]  Tony Ogburn,et al.  Shared decision making and informed consent for hysterectomy. , 2014, Clinical obstetrics and gynecology.

[83]  Ke Xiao,et al.  Implementation of an innovative, integrated electronic medical record (EMR) and public health information exchange for HIV/AIDS , 2011, J. Am. Medical Informatics Assoc..

[84]  John Fox,et al.  Application of Information Technology: The Syntax and Semantics of the PROforma Guideline Modeling Language , 2003, J. Am. Medical Informatics Assoc..

[85]  Je Sung You,et al.  Implementation of a clinical pathway based on a computerized physician order entry system for ischemic stroke attenuates off-hour and weekend effects in the ED. , 2014, The American journal of emergency medicine.

[87]  Adam Wright,et al.  Use of order sets in inpatient computerized provider order entry systems: A comparative analysis of usage patterns at seven sites , 2012, Int. J. Medical Informatics.

[88]  Jesualdo Tomás Fernández-Breis,et al.  Leveraging electronic healthcare record standards and semantic web technologies for the identification of patient cohorts. , 2013, Journal of the American Medical Informatics Association : JAMIA.

[89]  Mowafa Said Househ,et al.  Patient Safety Perspectives: The Impact of CPOE on Nursing Workflow , 2013, ITCH.

[90]  Chunqiang Tang,et al.  Intelligent Personal Health Record: Experience and Open Issues , 2010, Journal of Medical Systems.

[91]  J. Cafazzo,et al.  Toward successful migration to computerized physician order entry for chemotherapy. , 2014, Current oncology.

[92]  A. While,et al.  Maximizing the healthcare environment: a systematic review exploring the potential of computer technology to promote self-management of chronic illness in healthcare settings. , 2013, Patient education and counseling.

[93]  E. Clayton,et al.  Operational Implementation of Prospective Genotyping for Personalized Medicine: The Design of the Vanderbilt PREDICT Project , 2012, Clinical pharmacology and therapeutics.

[94]  B. Bennett,et al.  Regulating healthcare complaints: a literature review. , 2014, International journal of health care quality assurance.

[95]  Christopher R. Zimmerman,et al.  Cost analysis before and after implementation of a computerized physician order entry order form for enoxaparin. , 2012, P & T : a peer-reviewed journal for formulary management.

[96]  Vibha Anand,et al.  Patient-tailored prioritization for a pediatric care decision support system through machine learning. , 2013, Journal of the American Medical Informatics Association : JAMIA.

[97]  D. Bates,et al.  Evaluation of medium-term consequences of implementing commercial computerized physician order entry and clinical decision support prescribing systems in two 'early adopter' hospitals. , 2014, Journal of the American Medical Informatics Association : JAMIA.

[98]  Emily Beth Devine,et al.  Cost-effectiveness of a computerized provider order entry system in improving medication safety ambulatory care. , 2014, Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research.

[99]  Kevin B. Johnson,et al.  Assessing the reliability of an automated dose-rounding algorithm , 2013, J. Biomed. Informatics.

[100]  Russell D Folks,et al.  Development of a Relational Database to Capture and Merge Clinical History with the Quantitative Results of Radionuclide Renography , 2012, The Journal of Nuclear Medicine Technology.

[101]  O. Breathnach,et al.  Electronic clinical decision support systems attitudes and barriers to use in the oncology setting , 2012, Irish Journal of Medical Science.

[102]  W. Sieber,et al.  If you build it, will they come? A qualitative evaluation of the use of video-based decision aids in primary care. , 2012, Family medicine.

[103]  Jose Lopez-Sendon,et al.  Computerized physician order entry in the cardiac intensive care unit: effects on prescription errors and workflow conditions. , 2014, Journal of critical care.

[104]  Jennifer Elston Lafata,et al.  Where Is the Evidence? A Systematic Review of Shared Decision Making and Patient Outcomes , 2015, Medical decision making : an international journal of the Society for Medical Decision Making.

[105]  Matching clinicians to operative cases: a novel application of a patient acuity score. , 2013, Applied clinical informatics.

[106]  Omolola Ogunyemi,et al.  Design and implementation of the GLIF3 guideline execution engine , 2004, J. Biomed. Informatics.

[107]  Steven R. Simon,et al.  Lessons learned from implementation of computerized provider order entry in 5 community hospitals: a qualitative study , 2013, BMC Medical Informatics and Decision Making.

[108]  P. Lambin,et al.  Predicting outcomes in radiation oncology—multifactorial decision support systems , 2013, Nature Reviews Clinical Oncology.

[109]  Paul Dexter,et al.  Concept and Development of a Discharge Alert Filter for Abnormal Laboratory Values Coupled With Computerized Provider Order Entry: A Tool for Quality Improvement and Hospital Risk Management , 2012, Journal of patient safety.

[110]  B. Allenet,et al.  Computerized physician order entry system combined with on-ward pharmacist: analysis of pharmacists' interventions. , 2012, Journal of evaluation in clinical practice.

[111]  G. Fasola,et al.  Chemotherapy prescribing errors: an observational study on the role of information technology and computerized physician order entry systems , 2013, BMC Health Services Research.

[112]  Suzanne Bakken,et al.  Development of a prototype continuity of care record with context-specific links to meet the information needs of case managers for persons living with HIV , 2012, Int. J. Medical Informatics.

[113]  H. Nielson,et al.  Evidence Based Practice: Decreasing Psychiatric Revisits to the Emergency Department , 2012, Issues in mental health nursing.

[114]  J. Crespo,et al.  Computerized physician order entry‐based system to prevent HBV reactivation in patients treated with biologic agents: The PRESCRIB project , 2014, Hepatology.

[115]  V. Montori,et al.  Shared decision-making and comparative effectiveness research for patients with chronic conditions: an urgent synergy for better health. , 2013, Journal of comparative effectiveness research.

[116]  Anwar Ahmed,et al.  Impact of computerised provider order entry system on nursing workflow, patient safety, and medication errors: perspectives from the front line , 2014, Int. J. Electron. Heal..

[117]  M. Younis,et al.  The impact of computerized physician order entry on medication errors and adverse drug events. , 2013, Journal of health care finance.

[118]  P. Abbott,et al.  Usability characteristics of self-administered computer-assisted interviewing in the emergency department , 2013, Applied Clinical Informatics.

[119]  L. Howell,et al.  Can automated alerts within computerized physician order entry improve compliance with laboratory practice guidelines for ordering Pap tests? , 2014, Journal of pathology informatics.

[120]  Robert R Wright,et al.  Reduction in chemotherapy order errors with computerized physician order entry. , 2014, Journal of oncology practice.

[121]  R. Drake,et al.  Use of a Computerized Medication Shared Decision Making Tool in Community Mental Health Settings: Impact on Psychotropic Medication Adherence , 2013, Community Mental Health Journal.

[122]  Monika Kastner,et al.  Application of the Knowledge-to-Action and Medical Research Council frameworks in the development of an osteoporosis clinical decision support tool. , 2012, Journal of clinical epidemiology.

[123]  Christoph U. Lehmann,et al.  Implementation of computerized provider order entry in a neonatal intensive care unit: Impact on admission workflow , 2012, Int. J. Medical Informatics.

[124]  Reza Shojanoori,et al.  Semantic remote patient monitoring system. , 2013, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[125]  Steven R Simon,et al.  Relationship between medication event rates and the Leapfrog computerized physician order entry evaluation tool. , 2013, Journal of the American Medical Informatics Association : JAMIA.

[126]  Pascale Carayon,et al.  Conducting an efficient proactive risk assessment prior to CPOE implementation in an intensive care unit , 2013, Int. J. Medical Informatics.

[127]  M. Shah,et al.  Role of Computerized Physician Order Entry Usability in the Reduction of Prescribing Errors , 2013, Healthcare informatics research.

[128]  Polun Chang,et al.  The effect of using the health smart card vs. CPOE reminder system on the prescribing practices of non-obstetric physicians during outpatient visits for pregnant women in Taiwan , 2012, Int. J. Medical Informatics.

[129]  Ronald J. Teufel,et al.  Is Computerized Physician Order Entry Use Associated with a Decrease in Hospital Resource Utilization in Hospitals That Care for Children? , 2012, Journal of Medical Systems.

[130]  S Pelayo,et al.  Evolution of Human Factors Research and Studies of Health Information Technologies: The Role of Patient Safety , 2013, Yearbook of Medical Informatics.

[131]  Brian E. Dixon,et al.  An informatics approach to medication adherence assessment and improvement using clinical, billing, and patient-entered data , 2014, J. Am. Medical Informatics Assoc..

[132]  Fedde Scheele,et al.  Factors influencing intercultural doctor-patient communication: a realist review. , 2015, Patient education and counseling.

[133]  Christoph U. Lehmann,et al.  Computerized provider order entry and patient safety. , 2006, Pediatric clinics of North America.

[134]  Pamela H Carney,et al.  Information technology and precision medicine. , 2014, Seminars in oncology nursing.

[135]  Luigi Brunetti,et al.  Effects of computerized physician order entry on medication turnaround time and orders requiring pharmacist intervention. , 2014, Research in social & administrative pharmacy : RSAP.

[136]  S. Shaha,et al.  Duplicate Orders: An Unintended Consequence of Computerized provider/physician order entry (CPOE) Implementation , 2012, Applied Clinical Informatics.

[137]  Wei Jiang,et al.  A computerized physician order entry set designed to improve safety of intravenous haloperidol utilization: a retrospective study in agitated hospitalized patients. , 2012, Drug safety.

[138]  A. Lühr,et al.  Concept for individualized patient allocation: ReCompare—remote comparison of particle and photon treatment plans , 2014, Radiation Oncology.

[139]  Tom H. F. Broens,et al.  Patient-oriented Computerized Clinical Guidelines for Mobile Decision Support in Gestational Diabetes , 2014, Journal of diabetes science and technology.

[140]  P. Rohrlich,et al.  Economic impact of prescribing error prevention with computerized physician order entry of injectable antineoplastic drugs , 2013, Journal of oncology pharmacy practice : official publication of the International Society of Oncology Pharmacy Practitioners.

[141]  Erdenebaatar Altangerel,et al.  A sharable cloud-based pancreaticoduodenectomy collaborative database for physicians: Emphasis on security and clinical rule supporting , 2013, Comput. Methods Programs Biomed..

[142]  Alan R. Hevner,et al.  Design of an information volatility measure for health care decision making , 2012, Decis. Support Syst..

[143]  J. Hackman,et al.  Associations between the concurrent use of clinical decision support and computerized provider order entry and the rates of appropriate prescribing at discharge. , 2012, Applied clinical informatics.

[144]  Katja Taxis,et al.  Risk analysis and user satisfaction after implementation of computerized physician order entry in Dutch hospitals , 2013, International Journal of Clinical Pharmacy.

[145]  N. Obuchowski,et al.  An electronic safety screening process during inpatient computerized physician order entry improves the efficiency of magnetic resonance imaging exams. , 2013, Academic radiology.

[146]  James Miner,et al.  Implementation of Computerized Physician Order Entry for Critical Patients in an Academic Emergency Department is Not Associated with a Change in Mortality Rate , 2013, The western journal of emergency medicine.

[147]  R. Schreiber,et al.  Computerized provider order entry reduces length of stay in a community hospital. , 2014, Applied clinical informatics.

[148]  D. Owens,et al.  Diabetes as a case study of chronic disease management with a personalized approach: the role of a structured feedback loop. , 2012, Diabetes Research and Clinical Practice.

[149]  Cristina Catallo,et al.  The Registry of Knowledge Translation Methods and Tools: a resource to support evidence-informed public health , 2013, International Journal of Public Health.

[150]  B. Jacobs,et al.  Reduction in Clinical Variance Using Targeted Design Changes in Computerized Provider Order Entry (CPOE) Order Sets , 2012, Applied Clinical Informatics.

[151]  C. Charles,et al.  Shared decision-making in the medical encounter: what does it mean? (or it takes at least two to tango). , 1997, Social science & medicine.

[152]  W. Lester,et al.  Efficacy of a Clinical Decision-Support System in an HIV Practice , 2012, Annals of Internal Medicine.

[153]  Nilay D Shah,et al.  The impact of decision aids to enhance shared decision making for diabetes (the DAD study): protocol of a cluster randomized trial , 2012, BMC Health Services Research.

[154]  Lisa Cowan,et al.  Literature review and risk mitigation strategy for unintended consequences of computerized physician order entry. , 2013, Nursing economic$.

[155]  Eric Widen,et al.  Embedding Time-Limited Laboratory Orders Within Computerized Provider Order Entry Reduces Laboratory Utilization* , 2013, Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies.

[156]  D. Kaplan,et al.  The Use of Patient Pictures and Verification Screens to Reduce Computerized Provider Order Entry Errors , 2012, Pediatrics.

[157]  Elissa M. Ozanne,et al.  Development of a personalized decision aid for breast cancer risk reduction and management , 2014, BMC Medical Informatics and Decision Making.

[158]  Jon W. McKeeby,et al.  Integrating pharmacogenetic information and clinical decision support into the electronic health record , 2014, J. Am. Medical Informatics Assoc..

[159]  D. Bates,et al.  Understanding the Nature of Medication Errors in an ICU with a Computerized Physician Order Entry System , 2014, PloS one.

[160]  Kensaku Kawamoto,et al.  Clinical decision support for genetically guided personalized medicine: a systematic review , 2013, J. Am. Medical Informatics Assoc..

[161]  Alejandro Pazos,et al.  The iOSC3 System: Using Ontologies and SWRL Rules for Intelligent Supervision and Care of Patients with Acute Cardiac Disorders , 2013, Comput. Math. Methods Medicine.

[162]  Kris K. Hauser,et al.  Artificial intelligence framework for simulating clinical decision-making: A Markov decision process approach , 2013, Artif. Intell. Medicine.

[163]  E. Webber,et al.  Attitudes and Perceptions of Pediatric Residents on Transitioning to CPOE , 2014, Applied Clinical Informatics.

[164]  Prospective evaluation of the treatment of pain in the ED using computerized physician order entry. , 2012, The American journal of emergency medicine.

[165]  Sjaak Brinkkemper,et al.  General practitioners’ attitudes towards decision-supported prescribing: An analysis of the Dutch primary care sector , 2013, Health Informatics J..

[166]  Martin Härter,et al.  Effectiveness of a web-based, individually tailored decision aid for depression or acute low back pain: a randomized controlled trial. , 2012, Patient Education and Counseling.

[167]  Allen J. Flynn,et al.  Clinical decision support for atypical orders: detection and warning of atypical medication orders submitted to a computerized provider order entry system , 2014, J. Am. Medical Informatics Assoc..

[168]  Sertan Girgin,et al.  A novel report generation approach for medical applications: The SISDS methodology and its applications , 2013, Int. J. Medical Informatics.