Development and Evaluation of a Smartphone Application for Managing Gestational Diabetes Mellitus

The distribution of continuous data can often be closely approximated by the normal distribution (1). For example, the distribution of Cobb angles for scoliotic females may be represented by a normal distribution with a notional mean (μ) = 15 degrees and a notional standard deviation (σ) = 5 degrees, and is shown in figure 1. By assuming that these Cobb angles follow a normal distribution, we are able to answer questions such as ‘What is the probability that a randomly chosen scoliotic female has a Cobb angle less than 20°.

[1]  H. Kaiser The Application of Electronic Computers to Factor Analysis , 1960 .

[2]  R. Cattell The Scree Test For The Number Of Factors. , 1966, Multivariate behavioral research.

[3]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[4]  E. Wolpert A Manual of Standardized Terminology, Techniques and Scoring System for Sleep Stages of Human Subjects. , 1969 .

[5]  G E Lasker Application of sequential pattern-recognition technique to medical diagnostics. , 1970, International journal of bio-medical computing.

[6]  D. Hosmer,et al.  A review of goodness of fit statistics for use in the development of logistic regression models. , 1982, American journal of epidemiology.

[7]  P. Grassberger,et al.  Measuring the Strangeness of Strange Attractors , 1983 .

[8]  J. L. Gall,et al.  A simplified acute physiology score for ICU patients , 1984, Critical care medicine.

[9]  A. Babloyantz,et al.  Evidence of Chaotic Dynamics of Brain Activity During the Sleep Cycle , 1985 .

[10]  Linda C. Hodges,et al.  From Novice to Expert: Excellence and Power in Clinical Nursing Practice , 1986 .

[11]  Fraser,et al.  Independent coordinates for strange attractors from mutual information. , 1986, Physical review. A, General physics.

[12]  R. Chang,et al.  Audit of intensive care: a 30 month experience using the Apache II severity of disease classification system , 1988, Intensive Care Medicine.

[13]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[14]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[15]  W. Knaus,et al.  The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. , 1991, Chest.

[16]  H. Abarbanel,et al.  Determining embedding dimension for phase-space reconstruction using a geometrical construction. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[17]  J. Röschke,et al.  A nonlinear approach to brain function: deterministic chaos and sleep EEG. , 1992, Sleep.

[18]  R. Bagozzi,et al.  State versus Action Orientation and the Theory of Reasoned Action: An Application to Coupon Usage , 1992 .

[19]  S. Lemeshow,et al.  Mortality Probability Models (MPM II) based on an international cohort of intensive care unit patients. , 1993, JAMA.

[20]  B. Dawson-Saunders,et al.  Basic and Clinical Biostatistics , 1993 .

[21]  S. Lemeshow,et al.  A new Simplified Acute Physiology Score (SAPS II) based on a European/North American multicenter study. , 1993, JAMA.

[22]  Antony Ugoni ON THE SUBJECT OF HYPOTHESIS TESTING , 1993, COMSIG review.

[23]  M. Rosenstein,et al.  A practical method for calculating largest Lyapunov exponents from small data sets , 1993 .

[24]  S. Lemeshow,et al.  Modeling the severity of illness of ICU patients. A systems update. , 1994, JAMA.

[25]  Antony Ugoni,et al.  AN INTRODUCTION TO PROBABILITY DISTRIBUTIONS , 1995, COMSIG review.

[26]  S. Zahra,et al.  Contextual influences on the corporate entrepreneurship-performance relationship: A longitudinal analysis , 1995 .

[27]  Werner Lutzenberger,et al.  Enhanced dynamic complexity in the human EEG during creative thinking , 1996, Neuroscience Letters.

[28]  J. B. Brooke,et al.  SUS: A 'Quick and Dirty' Usability Scale , 1996 .

[29]  Marius Fieschi,et al.  A UMLS-based method for integrating information databases into an Intranet , 1997, AMIA.

[30]  E A McConnell,et al.  Technology assessment. A framework for generating questions useful in evaluating nursing information systems. , 1997, Computers in nursing.

[31]  Adib Kanafani,et al.  Real‐time decision support for integration of airline flight cancellations and delays Part II: algorithm and computational experiments , 1997 .

[32]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[33]  G. Ryan,et al.  What do sequential behavioral patterns suggest about the medical decision-making process?: modeling home case management of acute illnesses in a rural Cameroonian village. , 1998, Social science & medicine.

[34]  L. Appel,et al.  Smoking and atherosclerotic cardiovascular disease in men with low levels of serum cholesterol: the Korea Medical Insurance Corporation Study. , 1999, JAMA.

[35]  D. Opitz,et al.  Popular Ensemble Methods: An Empirical Study , 1999, J. Artif. Intell. Res..

[36]  M Rigby The management and policy challenges of the globalisation effect of informatics and telemedicine. , 1999, Health policy.

[37]  J. Yang,et al.  A Study On The Factors Influencing Degree Of Job Satisfaction After Implementation Of Hospital Information System , 1999 .

[38]  L S Wong,et al.  A comparison of ICU mortality prediction using the APACHE II scoring system and artificial neural networks , 1998, Anaesthesia.

[39]  R. Greene,et al.  Sleep, Sleep Disorders, and Biological Rhythms , 1999 .

[40]  W. T. Jones,et al.  Application of data mining to intensive care unit microbiologic data. , 1999, Emerging infectious diseases.

[41]  Huosheng Hu,et al.  The use of design patterns for the development of multi-agent systems , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[42]  Silvana Quaglini,et al.  Guideline-based careflow systems , 2000, Artif. Intell. Medicine.

[43]  A W Partin,et al.  The use of artificial intelligence technology to predict lymph node spread in men with clinically localized prostate carcinoma , 2000, Cancer.

[44]  S. Kam,et al.  Therapeutic Compliance and Its Related Factors of Patients with Hypertension in Rural Area , 2000 .

[45]  Rajiv Kohli,et al.  Information Technology Payoff in the Health-Care Industry: A Longitudinal Study , 2000, J. Manag. Inf. Syst..

[46]  D. Moser,et al.  Team Management of Patients With Heart Failure: A Statement for Healthcare Professionals From the Cardiovascular Nursing Council of the American Heart Association , 2000, Circulation.

[47]  Katharina Morik,et al.  Knowledge discovery and knowledge validation in intensive care , 2000, Artif. Intell. Medicine.

[48]  S. Norris,et al.  Effectiveness of self-management training in type 2 diabetes: a systematic review of randomized controlled trials. , 2001, Diabetes care.

[49]  G. Clermont,et al.  Predicting hospital mortality for patients in the intensive care unit: A comparison of artificial neural networks with logistic regression models , 2001, Critical care medicine.

[50]  Jinwook Choi,et al.  The Analysis of Clinical Information by Building the Clinical Data Warehouse , 2001 .

[51]  Fu-Ren Lin,et al.  Mining time dependency patterns in clinical pathways , 2001, Int. J. Medical Informatics.

[52]  Pedro Larrañaga,et al.  Using Bayesian networks in the construction of a bi-level multi-classifier. A case study using intensive care unit patients data , 2001, Artif. Intell. Medicine.

[53]  BellifemineFabio,et al.  Developing multi-agent systems with a FIPA-compliant agent framework , 2001 .

[54]  M. Frize,et al.  Clinical decision support systems for intensive care units: using artificial neural networks. , 2001, Medical engineering & physics.

[55]  Kristian Kersting,et al.  Analysis of respiratory pressure-volume curves in intensive care medicine using inductive machine learning , 2002, Artif. Intell. Medicine.

[56]  A Coulter,et al.  Patient safety: what about the patient? , 2002, Quality & safety in health care.

[57]  William A Knaus,et al.  APACHE 1978-2001: the development of a quality assurance system based on prognosis: milestones and personal reflections. , 2002, Archives of surgery.

[58]  P. Maurette,et al.  [To err is human: building a safer health system]. , 2002, Annales francaises d'anesthesie et de reanimation.

[59]  Andrée Bates,et al.  Navigating the e-Detailing Maze , 2002 .

[60]  Simon Capewell,et al.  The current cost of heart failure to the National Health Service in the UK , 2002, European journal of heart failure.

[61]  Kathleen Lang,et al.  Identifying Cancer Relapse Using SEER-Medicare Data , 2002, Medical care.

[62]  A. Rosenberg Recent innovations in intensive care unit risk-prediction models , 2002, Current opinion in critical care.

[63]  G. Cooper,et al.  Use of SEER-Medicare Data for Measuring Cancer Surgery , 2002, Medical care.

[64]  G. Guyatt,et al.  Assessing the quality of drug detailing. , 2002, Journal of clinical epidemiology.

[65]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[66]  D. Sosin Syndromic surveillance: the case for skillful investment. , 2003, Biosecurity and bioterrorism : biodefense strategy, practice, and science.

[67]  R. D'Agostino,et al.  External validity of predictive models: a comparison of logistic regression, classification trees, and neural networks. , 2003, Journal of clinical epidemiology.

[68]  P. Raskin,et al.  Report of the expert committee on the diagnosis and classification of diabetes mellitus. , 1999, Diabetes care.

[69]  N. Lackey,et al.  Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research , 2003 .

[70]  Seung Hee Ho,et al.  Analysis of healthcare quality indicator using data mining and decision support system , 2003, Expert Syst. Appl..

[71]  C. Irvin,et al.  Syndromic analysis of computerized emergency department patients' chief complaints: an opportunity for bioterrorism and influenza surveillance. , 2003, Annals of emergency medicine.

[72]  Z. Mawji,et al.  John M. Eisenberg Patient Safety Awards. The LVHHN patient safety video: patients as partners in safe care delivery. , 2003, Joint Commission journal on quality and safety.

[73]  Mary Czerwinski,et al.  Toward Characterizing the Productivity Benefits of Very Large Displays , 2003, INTERACT.

[74]  Lucila Ohno-Machado,et al.  Prediction of mortality in an Indian intensive care unit , 2004, Intensive Care Medicine.

[75]  Daniel W. Jones,et al.  Seventh report of the Joint National Committee on Prevention, Detection, Evaluation, and Treatment of High Blood Pressure. , 2003, Hypertension.

[76]  Tracee Treadwell,et al.  The validity of chief complaint and discharge diagnosis in emergency department-based syndromic surveillance. , 2004, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

[77]  Mark S Roberts,et al.  Simulation and critical care modeling , 2004, Current opinion in critical care.

[78]  J. Overhage,et al.  Framework for evaluating public health surveillance systems for early detection of outbreaks: recommendations from the CDC Working Group. , 2004, MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports.

[79]  Thomas G. Dietterich An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization , 2000, Machine Learning.

[80]  E. Sivadas,et al.  Details drive success. Physicians are responding to electronics sales calls. , 2004, Marketing health services.

[81]  E. Vance Wilson,et al.  Modeling patients' acceptance of provider-delivered e-health. , 2004, Journal of the American Medical Informatics Association : JAMIA.

[82]  Peter J.F. Lucas Bayesian analysis, pattern analysis, and data mining in health care , 2004, Current opinion in critical care.

[83]  Lisa A Weissfeld,et al.  Advances in statistical methodology and their application in critical care , 2004, Current opinion in critical care.

[84]  Kenneth D Mandl,et al.  Use of Emergency Department Chief Complaint and Diagnostic Codes for Identifying Respiratory Illness in a Pediatric Population , 2004, Pediatric emergency care.

[85]  Werner Lutzenberger,et al.  Fractal dimension of electroencephalographic time series and underlying brain processes , 1995, Biological Cybernetics.

[86]  Chris North,et al.  Analysis of User Behavior on High-Resolution Tiled Displays , 2005, INTERACT.

[87]  Desney S. Tan,et al.  The large-display user experience , 2005, IEEE Computer Graphics and Applications.

[88]  Daniel Kudenko,et al.  Adaptive Agents and Multi-Agent Systems II: Adaptation and Multi-Agent Learning , 2003, Adaptive Agents and Multi-Agent Systems.

[89]  Marvin C. Alkin,et al.  What Have We Learned? , 2019, Stumbling Blocks Against Unification.

[90]  Dursun Delen,et al.  Predicting breast cancer survivability: a comparison of three data mining methods , 2005, Artif. Intell. Medicine.

[91]  C. Stam,et al.  Nonlinear dynamical analysis of EEG and MEG: Review of an emerging field , 2005, Clinical Neurophysiology.

[92]  Qi Li,et al.  Using qualitative studies to improve the usability of an EMR , 2005, J. Biomed. Informatics.

[93]  조은미,et al.  The Analysis of Standard Nursing Statements at Electronic Nursing Records , 2005 .

[94]  Wendy W Chapman,et al.  Classification of emergency department chief complaints into 7 syndromes: a retrospective analysis of 527,228 patients. , 2005, Annals of emergency medicine.

[95]  Diego A. Alvarez,et al.  Comparison between logistic regression and neural networks to predict death in patients with suspected sepsis in the emergency room , 2005, Critical care.

[96]  R. L. Kennedy,et al.  Artificial neural network models for prediction of acute coronary syndromes using clinical data from the time of presentation. , 2005, Annals of emergency medicine.

[97]  김덕중,et al.  The relation of heart rate recovery(HRR) and cardiovascular disease risk factors at exercise stress testing in the middle-aged men. , 2005 .

[98]  Manuel Filipe Santos,et al.  Mortality assessment in intensive care units via adverse events using artificial neural networks , 2006, Artif. Intell. Medicine.

[99]  F A Sonnenberg,et al.  Computer-Interpretable Clinical Practice Guidelines , 2006, Yearbook of Medical Informatics.

[100]  Joseph Finkelstein,et al.  Feasibility and Acceptance of a Home Telemanagement System in Patients with Inflammatory Bowel Disease: A 6-Month Pilot Study , 2007, Digestive Diseases and Sciences.

[101]  Wan-Young Chung,et al.  A study on WSN based ECG and body temperature measuring system for ubiquitous healthcare: 1. the construction of sensor network platform , 2006 .

[102]  Reinhold Haux,et al.  Individualization, globalization and health - about sustainable information technologies and the aim of medical informatics , 2006, Int. J. Medical Informatics.

[103]  Dong-Ryeol Shin,et al.  Multi-agent system based efficient healthcare service , 2006, 2006 8th International Conference Advanced Communication Technology.

[104]  Michael Green,et al.  Comparison between neural networks and multiple logistic regression to predict acute coronary syndrome in the emergency room , 2006, Artif. Intell. Medicine.

[105]  D. Raphael,et al.  The state's role in promoting population health: public health concerns in Canada, USA, UK, and Sweden. , 2006, Health policy.

[106]  Michael Horn,et al.  Outcomes of a Web-based patient education program for asthmatic children and adolescents. , 2006, Chest.

[107]  Jung-Hsien Chiang,et al.  Discovering gene-gene relations from sequential sentence patterns in biomedical literature , 2007, Expert Syst. Appl..

[108]  Maurice Bruynooghe,et al.  Mining data from intensive care patients , 2007, Adv. Eng. Informatics.

[109]  Jeongeun Kim,et al.  Nurses' Perception of Error Reporting and Patient Safety Culture in Korea , 2007, Western journal of nursing research.

[110]  Hong Lin Architectural Design of Multi-Agent Systems: Technologies and Techniques , 2007 .

[111]  Hyeoun-Ae Park,et al.  Strategic Approach for Standardization on Ubiqitous Healthcare System , 2007 .

[112]  김행열 A Positive Study on Satisfaction in Public Medical Service According to Types of Community People , 2007 .

[113]  Randall Matignon,et al.  Data Mining Using SAS Enterprise Miner , 2007 .

[114]  Fm Alkhateeb,et al.  PHP41 PHYSICIANS' ATTITUDES TOWARD E-DETAILING: (A PILOT STUDY) , 2007 .

[115]  Inger Ekman,et al.  Reasons for seeking acute care in chronic heart failure , 2007, European journal of heart failure.

[116]  Banu Diri,et al.  Visualization and analysis of classifiers performance in multi-class medical data , 2008, Expert Syst. Appl..

[117]  Dimitrios I. Fotiadis,et al.  Mining sequential patterns for protein fold recognition , 2008, J. Biomed. Informatics.

[118]  M Koutantji,et al.  How willing are patients to question healthcare staff on issues related to the quality and safety of their healthcare? An exploratory study , 2008, Quality & Safety in Health Care.

[119]  E. Yoh,et al.  The Effects of Market Orientation and Learning Orientation on Business Performance in the Textile Firms: Focusing on Moderating Effect of Company Innovativeness , 2008 .

[120]  Hyera Yoo Implementing a smoking cessation clinic at a public health center in Korea: evaluating the outcomes and the smokers’ perceptions , 2008 .

[121]  Monique W. M. Jaspers,et al.  CPOE System Design Aspects and Their Qualitative Effect on Usability , 2008, MIE.

[122]  [Syndromic surveillances based on the emergency department]. , 2008, Journal of preventive medicine and public health = Yebang Uihakhoe chi.

[123]  Hyungkyu Kwon,et al.  EEG Analysis of the Left and Right Brain Activities from Cartoon Learning Versus Text Learning , 2008 .

[124]  Luc Moreau,et al.  Agent Technology and e-Health , 2008 .

[125]  David Dearman,et al.  It's on my other computer!: computing with multiple devices , 2008, CHI.

[126]  H. Lucas Information and communications technology for future health systems in developing countries. , 2008, Social science & medicine.

[127]  Gloria E. Phillips-Wren,et al.  Mining lung cancer patient data to assess healthcare resource utilization , 2008, Expert Syst. Appl..

[128]  Yoon Hee Sang,et al.  Factors Associated with the Use of Health Promotion Program -Seoul Community Health Center- , 2008 .

[129]  I. Montoya E-detailing: information technology applied to pharmaceutical detailing. , 2008, Expert opinion on drug safety.

[130]  John T. Stasko,et al.  Lightweight task/application performance using single versus multiple monitors: a comparative study , 2008, Graphics Interface.

[131]  Jorng-Tzong Horng,et al.  An expert system to predict protein thermostability using decision tree , 2009, Expert Syst. Appl..

[132]  I-Cheng Yeh,et al.  The comparisons of data mining techniques for the predictive accuracy of probability of default of credit card clients , 2009, Expert Syst. Appl..

[133]  Philip T. Kortum,et al.  Determining what individual SUS scores mean: adding an adjective rating scale , 2009 .

[134]  Kemal Polat,et al.  Usage of class dependency based feature selection and fuzzy weighted pre-processing methods on classification of macular disease , 2009, Expert Syst. Appl..

[135]  Chih-Hao Chen,et al.  Applying decision tree and neural network to increase quality of dermatologic diagnosis , 2009, Expert Syst. Appl..

[136]  Wan-I Lee,et al.  Application of neural networks to recognize profitable customers for dental services marketing-a case of dental clinics in Taiwan , 2009, Expert Syst. Appl..

[137]  Hung-Wen Chiu,et al.  Comorbidity study of ADHD: Applying association rule mining (ARM) to National Health Insurance Database of Taiwan , 2009, Int. J. Medical Informatics.

[138]  Suk-Hoon Chung,et al.  Prediction of Hospital Charges for the Cancer Patients with Data Mining Techniques , 2009 .

[139]  Alistair R. Anderson,et al.  The adoption of e-trade innovations by Korean small and medium-sized firms. , 2009 .

[140]  Polun Chang,et al.  The Feasibility of Using Classification and Identification Techniques to Auto-Assess the Quality of Health Information on the Web , 2009 .

[141]  Ann Von Worley,et al.  Medication errors among adults and children with cancer in the outpatient setting. , 2009, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[142]  David Isern Alarcón Agent-based management of clinical guidelines , 2009 .

[143]  Rae Woong Park,et al.  Basic Concepts and Principles of Data Mining in Clinical Practice , 2009 .

[144]  William R Doucette,et al.  Influences on physicians' adoption of electronic detailing (e-detailing) , 2009, Informatics for health & social care.

[145]  Rae Woong Park,et al.  A Hybrid Bayesian Network Model for Predicting Breast Cancer Prognosis , 2009 .

[146]  K. Moore,et al.  Telehealth Ontario detection of gastrointestinal illness outbreaks. , 2009, Canadian journal of public health = Revue canadienne de sante publique.

[147]  K. Bang,et al.  A Patient’s Right to Know and Self-Determination , 2009 .

[148]  Mevlut Ture,et al.  The comparisons of prognostic indexes using data mining techniques and Cox regression analysis in the breast cancer data , 2009, Expert Syst. Appl..

[149]  So Young Sohn,et al.  Sequential association rules for forecasting failure patterns of aircrafts in Korean airforce , 2009, Expert Syst. Appl..

[150]  David L. B. Schwappach,et al.  Review: Engaging Patients as Vigilant Partners in Safety , 2010, Medical care research and review : MCRR.

[151]  M. Konstam,et al.  A multicenter randomized controlled evaluation of automated home monitoring and telephonic disease management in patients recently hospitalized for congestive heart failure: the SPAN-CHF II trial. , 2010, Journal of cardiac failure.

[152]  Robert M Wachter,et al.  Patient safety at ten: unmistakable progress, troubling gaps. , 2010, Health affairs.

[153]  David Sánchez,et al.  Agents applied in health care: A review , 2010, Int. J. Medical Informatics.

[154]  S. Sidani,et al.  Postoperative Patient Education: A Systematic Review , 2010, Clinical nursing research.

[155]  Barbara Dunin-Keplicz,et al.  Teamwork in Multi-Agent Systems - A Formal Approach , 2010, Wiley series in agent technology.

[156]  Sung-Bae Cho,et al.  An Emotional Gesture-based Dialogue Management System using Behavior Network , 2010 .

[157]  Impact of e-detailing on the number of new prescriptions , 2010, Health care management science.

[158]  Hee Sun,et al.  Trends in Diabetes Mellitus during Pregnancy: Prevalence and Health Care Utilization , 2010 .

[159]  Sue Stevens,et al.  Keeping good nursing records: a guide , 2010, Community eye health.

[160]  Rowena Cullen,et al.  Handbook of Research on Advances in Health Informatics and Electronic Healthcare Applications: Global Adoption and Impact of Information Communication Technologies , 2010 .

[161]  A. Wahid,et al.  Multi Agent Based Knowledge Management: Issues and Challenges , 2010 .

[162]  Dan Zhu,et al.  A hybrid approach for efficient ensembles , 2010, Decis. Support Syst..

[163]  Rebecca Randell,et al.  Organisational Influences on Nurses' Use of Clinical Decision Support Systems Senior Lecturer in Clinical Decision Making , 2014 .

[164]  E. Billing,et al.  A group-based multi-professional education programme for family members of patients with chronic heart failure: effects on knowledge and patients' health care utilization. , 2011, Patient education and counseling.

[165]  Tinja Lääveri,et al.  National questionnaire study on clinical ICT systems proofs: Physicians suffer from poor usability , 2011, Int. J. Medical Informatics.

[166]  Young Moon Chae,et al.  The Adoption of Electronic Medical Records and Decision Support Systems in Korea , 2011, Healthcare informatics research.

[167]  Alan Hedge,et al.  Cognitive ergonomics, socio-technical systems, and the impact of healthcare information technologies , 2011 .

[168]  Jeffrey Wood,et al.  Delivering Chronic Heart Failure Telemanagement via Multiple Interactive Platforms , 2011 .

[169]  Jie Chen,et al.  Health-related quality of life in a multicenter randomized controlled comparison of telephonic disease management and automated home monitoring in patients recently hospitalized with heart failure: SPAN-CHF II trial. , 2011, Journal of cardiac failure.

[170]  Bo-Soo Kim U-Healthcare & Medical Information System of Status and Operative Challenges for Integrated Medical Information System , 2011 .

[171]  E. Guallar,et al.  Discordance in perceived needs between patients and physicians in oncology practice: a nationwide survey in Korea. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[172]  Steve Wheeler,et al.  How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX , 2011, Biomedical engineering online.

[173]  V. Basevi,et al.  Standards of Medical Care in Diabetes—2012 , 2011, Diabetes Care.

[174]  Craig Standing,et al.  The implementation of electronic health records: A case study of bush computing the Ngaanyatjarra Lands , 2011, Int. J. Medical Informatics.

[175]  박경자,et al.  Effects of a Nursing Practice Manual on Nursing Performance of Newly Graduated Nurses , 2011 .

[176]  Nicholas R. Hardiker,et al.  Factors that influence public engagement with eHealth: A literature review , 2011, Int. J. Medical Informatics.

[177]  Hilde Eide,et al.  The development and feasibility of a web-based intervention with diaries and situational feedback via smartphone to support self-management in patients with diabetes type 2. , 2012, Diabetes research and clinical practice.

[178]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[179]  Ayla Ozhan Dedeoglu,et al.  A New Debate for Turkish Physicians: E-Detailing , 2012, Health marketing quarterly.

[180]  Ibrahim Taiwo Adeleke,et al.  Data quality assessment in healthcare: a 365-day chart review of inpatients' health records at a Nigerian tertiary hospital , 2012, J. Am. Medical Informatics Assoc..

[181]  A. Dyer,et al.  and Adverse Pregnancy Outcome (HAPO) Study Associations of Maternal A1C and Glucose With Pregnancy Outcomes , 2012 .

[182]  Dukyong Yoon,et al.  Adoption of electronic health records in Korean tertiary teaching and general hospitals , 2012, Int. J. Medical Informatics.

[183]  Kaveh G Shojania,et al.  Quality improvement in medical education: current state and future directions , 2012, Medical education.

[184]  C. Uphold Transitional Care for Older Adults: The Need for New Approaches to Support Family Caregivers , 2012 .

[185]  K. Radhakrishnan,et al.  The efficacy of tailored interventions for self-management outcomes of type 2 diabetes, hypertension or heart disease: a systematic review. , 2012, Journal of advanced nursing.

[186]  A. Darzi,et al.  Patients' and health care professionals' attitudes towards the PINK patient safety video. , 2012, Journal of evaluation in clinical practice.

[187]  Isabelle Bichindaritz,et al.  Computational Intelligence in Healthcare 4: Advanced Methodologies , 2012 .

[188]  Sooyoung Yoo,et al.  Seoul National University Bundang Hospital's Electronic System for Total Care , 2012, Healthcare informatics research.

[189]  Dominique Hansen,et al.  Effect of a telemonitoring‐facilitated collaboration between general practitioner and heart failure clinic on mortality and rehospitalization rates in severe heart failure: the TEMA‐HF 1 (TElemonitoring in the MAnagement of Heart Failure) study , 2012, European journal of heart failure.

[190]  Mi Jung Rho,et al.  Information System Success Model for Customer Relationship Management System in Health Promotion Centers , 2013, Healthcare informatics research.

[191]  Morwenna Kirwan,et al.  Diabetes Self-Management Smartphone Application for Adults With Type 1 Diabetes: Randomized Controlled Trial , 2013, Journal of medical Internet research.

[192]  Hyung-Jin Woo,et al.  A Study on Factors Affecting the Intention to Use Personal Cloud Service: Focused on the Convergence Model of TAM and PMT , 2013 .

[193]  Yung-Hsiu Lin,et al.  Development and Evaluation of Theory-Based Diabetes Support Services , 2013, Computers, informatics, nursing : CIN.

[194]  D. Torgerson,et al.  Patient-led training on patient safety: A pilot study to test the feasibility and acceptability of an educational intervention , 2013, Medical teacher.

[195]  Kyung-Sook Park,et al.  Patient's Cognition toward the Disclosure of Cancer Diagnosis , 2013 .

[196]  Jong Kyung Kim,et al.  A Study on Experience of Transition from New Clinical Nurse to Competent Step , 2013 .

[197]  Aziz Sheikh,et al.  Organizational issues in the implementation and adoption of health information technology innovations: An interpretative review , 2013, Int. J. Medical Informatics.

[198]  Prevalence Estimates of Gestational Diabetes Mellitus in the United States, Pregnancy Risk Assessment Monitoring System (PRAMS), 2007–2010 , 2014, Preventing chronic disease.

[199]  Hyejung Chang,et al.  Technology Acceptance and Adoption of Innovative Smartphone Uses among Hospital Employees , 2014, Healthcare informatics research.

[200]  M. Cowie National Institute for Health and Care Excellence. , 2015, European heart journal.

[201]  Insook Cho,et al.  Use Case Development for Next Generation Electronic Nursing Record Systems Utilizing Clinical Workflow Analysis and a Delphi Survey , 2015 .

[202]  Hyeoun-Ae Park,et al.  Factors Affecting Acceptance of Smartphone Application for Management of Obesity , 2015, Healthcare informatics research.

[203]  Ju Yeon Kim,et al.  Advertising Implications of Beacon Technology - Focusing on TAM to Predict User Acceptance of Beacon Application , 2015 .

[204]  Richard,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace , 2022 .