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Accepted Manuscript Project management: importance for diagnostic laboratories Antony Croxatto, Gilbert Greub PII: S1198-743X(17)30212-4 DOI: 10.1016/j.cmi.2017.04.007 Reference: CMI 919 To appear in: Clinical Microbiology and Infection Received Date: 17 February 2017 Revised Date: 1 April 2017 Accepted Date: 6 April 2017 Please cite this article as: Croxatto A, Greub G, Project management: importance for diagnostic laboratories, Clinical Microbiology and Infection (2017), doi: 10.1016/j.cmi.2017.04.007. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Page 1: Project management: importance for diagnostic laboratories · Please cite this article as: Croxatto A, Greub G, Project management: importance for diagnostic laboratories, Clinical

Accepted Manuscript

Project management: importance for diagnostic laboratories

Antony Croxatto, Gilbert Greub

PII: S1198-743X(17)30212-4

DOI: 10.1016/j.cmi.2017.04.007

Reference: CMI 919

To appear in: Clinical Microbiology and Infection

Received Date: 17 February 2017

Revised Date: 1 April 2017

Accepted Date: 6 April 2017

Please cite this article as: Croxatto A, Greub G, Project management: importance for diagnosticlaboratories, Clinical Microbiology and Infection (2017), doi: 10.1016/j.cmi.2017.04.007.

This is a PDF file of an unedited manuscript that has been accepted for publication. As a service toour customers we are providing this early version of the manuscript. The manuscript will undergocopyediting, typesetting, and review of the resulting proof before it is published in its final form. Pleasenote that during the production process errors may be discovered which could affect the content, and alllegal disclaimers that apply to the journal pertain.

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Project management: importance for diagnostic laboratories 1

Antony Croxatto, Gilbert Greub 2

University of Lausanne, Institute of Microbiology, Lausanne, Switzerland. 3

4

Corresponding author: 5

Greub Gilbert, 6

Institute of Microbiology, University 7

Hospital Center and University of Lausanne, 8

Bugnon 48, 9

1011 Lausanne, Switzerland. 10

[email protected], 11

Tel : +41213144979, fax : +41213144060 12

13

Abstract: 276 words 14

Manuscript: 3357 words 15

Running title: Project management 16

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Abstract 18

Background: 19

The constraints applied on diagnostic laboratories to improve both quality and productivity 20

together with personal shortages incite laboratory managers to constantly optimize the laboratory 21

workflows, organization and technology. These continuous modifications of the laboratories 22

should be conducted using efficient project and change management approaches in order to 23

maximize the opportunities to achieve the project successfully. 24

Aim: 25

This review aims at presenting a general overview of project management with an emphasis 26

on selected critical aspects. 27

Sources: 28

Conventional project management tools and models such as HERMES described in the 29

literature associated to personal experience and educational courses on management have been 30

used to illustrate this review. 31

Content: 32

This review is presenting general guidelines of project management and is highlighting their 33

importance for microbiology diagnostic laboratories. As an example, some critical aspects of 34

project management will be illustrated with a project of automation, as experienced at the 35

laboratories of bacteriology and hygiene of the university hospital of Lausanne. Among others, it 36

is important to clearly precise beforehand the objective of a project, its perimeter, its costs and its 37

time frame including precise duration estimates of each step. Then, a project management plan 38

including explanations and descriptions on how to manage, execute and control the project is 39

absolutely required to continuously monitor the progression of a project in order to successfully 40

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achieve defined goals. Moreover, a thorough risk analysis with contingency and mitigation 41

measures should be performed at each phase of a project to minimize the impact of project 42

failures. 43

Implications: 44

Due to increasing complexities of modern laboratories, clinical microbiologists should use 45

several management tools including project and change management to improve the outcome of 46

major projects and activities. 47

48

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1 Introduction 49

The constant constraints applied on diagnostic laboratories to improve the quality and 50

productivity while reducing the turn-around-time (TAT) with personal shortages and limited 51

funding implies that lab managers have to constantly rethink the laboratory workflow and 52

technology to optimize the laboratory organization and performance. The approach of project 53

management provides a methodology to face the requirement to evolve and adapt diagnostic 54

laboratories to the market and system constraints, in a more and more complex diagnostic 55

environment. Project management offers a rigorous approach organized in multiple phases 56

allowing achieving defined goals while reaching success criteria and respecting a budget, 57

allocated human resources, a time frame and quality. However, as outlined by Munns A.K. and 58

Bjeirmi B.F., there is a clear distinction between project, project management and project 59

outcomes [1]. They defined the project as being the achievement of a specific objective, whereas 60

the project management is the process of controlling the achievement of the project objectives. 61

Thus, in the worst case, a project can be successfully achieved even with a management failure, 62

and vice versa [1]. A project is carried by a team under the supervision of a project leader whose 63

goal is to transform ideas and thoughts into a completed project characterized by 3 main 64

characteristics: (1) quality, (2) costs and (3) time limit. To be useful for diagnostic microbiology 65

laboratories, this review will be illustrated with a project of automation in bacteriology in order to 66

discuss practical steps of project management, including the importance of communication, 67

reporting and change management. Automating a diagnostic laboratory is complex, disruptive, 68

time-consuming and labor intensive and requires an appropriate and efficient project management 69

to guarantee that the project does not result in suboptimal performance, exceeding costs and time 70

delays. Thus, we will present in this review the design of a project based on the HERMES 5 71

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model [2] characterized by a phased management approach. Please note that the present article is 72

not focusing on project management, but rather extend to share our experience in project 73

management applied to a large automation project affecting a diagnostic laboratory. 74

2 Phases of the project 75

A project is usually delimited by several phases and milestones which will structure the 76

project during its lifecycle. Depending on the phase model, a different number of phases 77

corresponding to different aims, actions, tasks and activities can be used. Moreover, the name and 78

activities of each phase can be interpreted in multiple ways by different users. As an example, a 79

phase model such as HERMES [2] consisting of four phases is presented in this review. The four 80

phases, initiation (exploration), concept (planning, design and choice), implementation (execution 81

and construction) and deployment (up to completion) are regulated by several milestones that 82

represent project decision nods (figure 1). The milestones represent gates to allow or not the 83

transition to the next phase, based on the project status, quality, feasibility, execution and its 84

compliance with the strategic objectives of the core organization following intermediate phase 85

reports by the project manager. Each phase of a project is characterized by a given number of 86

tasks that determine the action and the activities that have to be accomplished to achieve the aim 87

of a project, i.e hereafter called “results” (figure 1). Among other, the results can be technical, 88

organizational, functional, managerial, product orientated, descriptive and educative. It is 89

important for a project manager to monitor a planning of the tasks that can be done with a 90

GANTT or PERT diagram. For instance, the GANTT diagram illustrates a project schedule that 91

monitors the starting and finishing date of the different tasks and/or activities composing a 92

project. It is thus possible for the project manager to identify quickly the limiting actions, i.e the 93

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components of the project that are delayed or need to be started early and for which actions must 94

be taken to ensure a constant progression of the project in order to reach the objectives on time. 95

In theory, a project can be terminated at any phase if the objectives cannot be achieved on 96

time with the human, material and financial resources allocated for this project. Usually, the 97

decision taking to release a phase is under the decision of the project and core organization 98

(project steering committee). An example of project phases applied to laboratory automation is 99

depicted in figure 1. Hereafter, we will discuss several key aspects of project management listed 100

in the four phases that we estimate to be essential for the success of a large project such as 101

laboratory automation. In addition, we will discuss risk analysis, an additional key aspect of 102

project management that has to be considered throughout the entire project. 103

2.1 Initialization 104

During the initialization phase, an analysis of the situation is performed in particular by 105

defining general requirements, objectives, context, scope and risks. Various options are proposed 106

and one solution is chosen. A project charter and a project management plan are prepared and 107

submitted for approval to the core organization. Upon acceptance by the core organization (that 108

generally includes the project sponsor), the project is released to the next phase. 109

2.1.1 Project charter 110

A project charter needs to be established, usually during the initiation phase of a project, to 111

determine the different parameters of a project (table 1). Usually, a project includes (1) name of 112

the project, (2) a context describing the origin, the history, the meaning and the reason for starting 113

a project (see below), (3) a project scope describing the partners and the needs, (4) the objectives 114

of the project including the expected overall final results and success criteria, (5) the phases of 115

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the project which is a step wise description of the project evolution characterized by milestones 116

of decision taking, (6) a time limit of the project, (7) a risks analysis including mitigation and 117

contingency measures, (8) a description of the project organization, (9) a description of human 118

and material resources, (10) a budget and (11) the description of other linked project that may 119

influence the outcome of the current project. 120

The project charter represents a summary of the project proposal constituting the basis for an 121

agreement between the project core organization, the sponsor and the project manager. Upon 122

approval of a project charter by the core organization and sponsors, the project manager need to 123

prepare a project management plan that describes how to achieve the project goals. A project 124

management plan includes explanations and descriptions on how to manage, execute and control 125

the project including the different phases, tasks, activities, works, methods, human and financial 126

resources, responsibilities, organization, project time lines, project milestones, and indicators 127

measurements. The project plan represents a guide for all the partners involved in the project and 128

is usually continuously updated and adapted throughout the evolution of the project. 129

We will focus below on some critical parameters that require special attention due to their 130

importance throughout the project. 131

2.1.2 Context 132

The context has to define the global current status of the diagnostic laboratory with a 133

description including the environment, preliminary actions, link(s) with other projects, needs, 134

opportunities, challenges and partners. All these components of the laboratory will define the 135

requirements of a significant evolution of the laboratory that may be achieved throughout various 136

possible projects. The benefits and added value of the proposed project needs to be described. It 137

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is necessary to provide significant data on the laboratory activities to illustrate the magnitude of 138

the problems requiring an evolution of the laboratory. The context will also represent the basis to 139

develop a business plan that will be required to obtain the funding for initiating a project. Several 140

contextual information of the laboratories of bacteriology and hygiene of the University Hospital 141

of Lausanne (CHUV) are provided below to illustrate the context of the automation project. As 142

many diagnostic laboratories, the laboratory of bacteriology of the CHUV is experiencing a 143

significant increase in sample volumes (each year of about 5-10%) with a limited number of 144

technician. The laboratory proceeded to a reorganization of its activities to optimize human 145

resources and introduced a first level of automation with the acquisition of an automated 146

inoculation system and of a MALDI-TOF for microbial identification. However, despite this new 147

tools and related reorganization, a significant workload increase and constant stress were still 148

observed due to increasing number of analysis per technician per day. Thus, an increased 149

productivity was further required either (1) by increasing the number of laboratory technician, (2) 150

by deeply modifying the laboratory organization and analytical portfolio and/or (3) by 151

introducing an automated solution allowing an increased productivity with the same number of 152

technicians. A laboratory workflow and activities analysis was performed. A reduction of 2.4 153

FTE (16.5% of 14.5 FTE) or a significant potential for increased activity was estimated based on 154

the expected gain in productivity conferred by laboratory automation [3]. In addition, the 155

construction of a new laboratory together with a planned consolidation of the laboratory of 156

bacteriology and hygiene would represent an additional opportunity for laboratory automation 157

which could represent a mutual platform allowing increased productivity for both laboratories. 158

Finally, the project of full laboratory automation was fully in line with the general goals of the 159

university hospital, which included an increased quality, a reduced TAT possibly allowing a 160

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shortening of hospitalization duration and an increased activity (increased number of samples per 161

year). 162

2.1.3 Project scope 163

The project scope has to define what and who belongs or not to the project. It has to list the 164

partners, the entities, and the area that will be part of the project and describe their needs if they 165

can be specified. For instance, a project of laboratory automation will include several partners 166

and entities including the laboratories of bacteriology and hygiene (workflow analysis, users, 167

description of the needs ), the laboratory department of the university hospital (sponsor, project 168

committee), biomedical engineers (technical analysis of the proposed systems), IT specialists 169

from the diagnostic laboratory and from the manufacturers (LIS connection and 170

parameterization), core organization (executive board, controlling and compliance bodies, project 171

management competence center, funding ..), and manufacturers (Lab automation specialists). 172

2.1.4 Objectives 173

It is common to say that the goals of a project must be SMART – specific, measurable, 174

assignable, realistic and time-based [4]. However, the SMART acronym does not have one single 175

specific meaning since different words definitions within the acronym have been used over time. 176

The project has to be well defined (specific), success criteria must be measurable with indicators 177

(table 1) to monitor the progression of the project and to find out when the goal will be achieved 178

(measurable), people belonging to the project have to be specified with a common agreement on 179

the goal of a project (assignable, agreed upon), results that can be realistically achieved with the 180

available human, financial and material resources must be stated (realistic, reasonable), and time-181

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based to specify when the results will be achieved (time-based, enough time to achieve the goal 182

of a project but not too much time which could alter the expected performance). 183

For instance, success criteria of the project on full automation of the laboratory of 184

bacteriology and hygiene could include the following measurable indicators: percentage of total 185

samples inoculated automatically, percentage of total plates read by telebacteriology [3], 186

percentage of total antibiotic susceptibility testing processed by the system, reliability of the 187

system, time to report identification as well as time to report antibiotic susceptibility testing and 188

technician working time per sample (productivity). The objectives should also define the 189

expected results (often named gain of the project) that can be measurable. In case of a diagnostic 190

laboratory, they could include several essential items such as decreased turn-around-time, 191

increased quality, increased productivity and decreased full time equivalent (table 1). 192

2.1.5 Organization 193

The organization (hierarchy) involved in the project needs to be determined and should 194

comprise the core organization, the structure to which the project sponsor and users are affiliated, 195

and the project organization which is a temporary organization existing only from project 196

approval and closing. The project organization does not have to comply with the core 197

organization hierarchy, but has to describe the different roles involved in a project and its 198

different tasks, responsibilities and activities. As mentioned in change management, the project 199

organization should encompass a powerful guiding coalition to achieve a project successfully. 200

Moreover, the different partners involved in a project, and thus the project organization, may 201

change throughout the project according to the different phases and tasks planned in the project. 202

Based on the HERMES model, the project organization is divided in three layers, (1) the steering, 203

(2) the management and (3) the execution [2]. The steering includes the sponsor and the project 204

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committee who have to control that the project objectives are fulfilled and that the different 205

deadlines are met, the management includes the project manager, the technical committee and if 206

required the subproject manager who are in charge to prepare, manage and close the project. The 207

execution includes specialists that will take care of the tasks and their outcomes (figure2). The 208

project organization will also provide the basis to estimate the human resources that will be 209

required to achieve the project successfully. 210

2.2 Conception 211

The first major aspect is the characterization of the laboratory needs based on a detailed 212

analysis of its activity and organization. The activity has to be defined with multiple parameters 213

including inoculation and incubation protocols, samples/plates volumes and distribution (hourly, 214

daily, and weekly), samples growth trends, FTEs, media, containers and LIS specifications. 215

Secondly, a good knowledge on laboratory automation in bacteriology is required to understand 216

the systems and better characterized their advantages, requirements, limits and future evolutions 217

[3, 5-13]. This can be achieved through contact with manufacturers and with users, factories 218

visits, literature and congress attendance. All these informations represent the backbone for a 219

thorough analysis of manufacturer’s propositions and a smart choice of an automated solution. 220

These data will also assist the project manager and project steering committee to distinguish 221

between mandatory and optional needs, according to the budget of a project. Moreover, detailed 222

analysis and good knowledge of the automated systems are essentials to perform an optimal risk 223

analysis, since a failure of the project may be caused by an inadequate analysis of the laboratory 224

activities (under- or overestimation of the laboratory needs) or by a lack of knowledge of the 225

automated systems (wrong expectations). 226

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2.3 Implementation-Deployment 227

The product is chosen and detailed system, technical, laboratory and LIS specification can be 228

determined. The preparation of the installation of an automated system in the laboratories has to 229

be conducted, including (1) identification and allocation of human resources, (2) architectural and 230

technical adaptation of the premises, (3) planning of the organization of the routine laboratory 231

activities before, during and after installation which may require a temporal recruitment of 232

additional technicians, (4) specification of the connection of the automated system with the 233

laboratory LIS (LIS interface development), (5) set-up of the configuration of the automated 234

system and test of functionality at the factory facility, (6) training of the users with workshop 235

organized by the manufacturers and (7) change management. The implementation phase 236

represents the launching pad of the deployment and the quality of the preparation will determine 237

the success of the installation and the quality of the final product of the project. During the 238

deployment phase, the automated system is installed and activated. The general functionality and 239

configuration are tested. Then, the go-live of the system can be initiated with continuous 240

improvement of the laboratory workflow through testing several validation processes. This task is 241

performed in parallel to conventional approaches until most of the samples are processed 242

automatically, introducing thus suboptimal working conditions with different sample analysis 243

processes (manual versus automated) and reduced working areas. A follow-up of the success 244

criteria indicators is performed and risks including system failures and staff commitment are 245

carefully analyzed. Thus, this phase can be time-consuming, stressing and long lasting and a 246

careful change management should be followed by the project manager. 247

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2.3.1 Change management 248

The success of a project is dependent on both the quality of the project and on the acceptance 249

of the idea by all the individuals that are directly or indirectly involved in the project. The vision 250

of a project needs to be shared with the entire staff of the laboratory. John P. Kotter identified 251

eight errors that may cause a project failure due to inappropriate change management: (1) too 252

much self-satisfaction, (2) failure to create a powerful guiding coalition, (3) underestimating the 253

power of vision, (4) a lack of communication of the vision, (5) leaving obstacles blocking the 254

new vision, (6) failure to obtain short-term wins, (7) shouting victory too early and (8) neglecting 255

to anchor the new approaches in the culture of the employees [14]. The project manager needs 256

thus to communicate his/her vision of a project. Not knowing what is going to happen is bringing 257

anxiety, fear of the future and resistance. The project manager needs to convince all the partners 258

or should modify his vision in order to create a guiding coalition that rally every person involved 259

in the project. To do so, the project manager relies on the line management, especially the project 260

sponsor, that needs to provide a strong support to the project manager by ensuring that resources 261

and disciplinary commitments are provided by the entire organization. A regular and frequent 262

communication program has to be implemented to report the progression of the project including 263

encountered successes and difficulties. It is also productive to involve the laboratory staff in the 264

future re-organization of the laboratory activities following laboratory automation installation. 265

Moreover, a complete training program of the staff prior to reception of the automated system 266

will help to decrease the anxiety due to the inexperience of using such a new tool. The aim is 267

clearly to arrange a transition from resistance to commitment to generate a teamwork that will 268

maximize the success of a project [15]. A poor change management may generate several 269

counterproductive issues such as staff resistance, no adaptation to automation, productivity and 270

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quality loss, staff escape and conflicts escalation. In the worst case, a significant project failure or 271

interruption may be caused by a poor change management. 272

3 Risk analysis 273

The risk is part of a project because a project is by definition introducing a notion of novelty, 274

innovation not previously experienced. In addition, the size of the project with its level of 275

complexity (technical, organizational and human) will directly influence the risks. Thus a risk 276

analysis has to be conducted in every phases of a project. A methodology to analyze the risk has 277

to be implemented to identify, evaluate, address and manage the risks. Failure mode and effects 278

analysis (FMEA) methodology described the risk index (RI) = probability (P) x severity (S) x 279

detection (D) [16]. The probability describes the likelihood of occurrence of a failure, the severity 280

characterizes the impact of a failure and the detection describes how easy or difficult it is to 281

identify a failure. Thus, the higher the risk index the more attention should be addressed to the 282

activity impacted by the risk. Risk analysis tables can be used to identify, evaluate and address 283

the risks of a project (table 2). It is recommended to list the measures of mitigation to minimize 284

or prevent the risk, or if the risk occurs, measures of contingency in order to manage and solve 285

the problems. Moreover, a person in charge of risk management needs to be clearly identified. 286

These measures should ensure that most of the problems that could affect the project are quickly 287

and appropriately managed. 288

4 Conclusions 289

This review presented a general overview of project and change management with an 290

emphasis on selected critical aspects. A structured project management conducted by an efficient 291

project manager is required to achieve the goals and to meet the success criteria of complex 292

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projects such as laboratory automation. Such projects involving and impacting multiple partners 293

and organizational entities require a structured supervision and monitoring of all the tasks and 294

activities to achieve successfully a project with optimal performance, costs control and respect of 295

time-limit. With the increasing complexities of modern laboratories, clinical microbiologists 296

should use current management tools to improve the outcome of their major projects, project and 297

change management being essential parts of their activities. 298

Figures legends 299

Figure 1. Project phases with examples of tasks and activities that could be defined in a 300

project of automation of a laboratory of bacteriology. Each phase is delimited by milestones 301

representing security gates ensuring the appropriate progression of the project, allowing or not a 302

phase release to the next phase based on phase reports of the project manager. However, 303

additional multiple project status reports should be performed during each phase of the project 304

from the project management to the steering and the core organization. The project starts upon 305

acceptance of a business plan by the core organization and ends with a final project evaluation. 306

Adapted from HERMES 5 [2]. 307

Figure 2. Project organization of the automation of the laboratory of bacteriology and 308

hygiene of the CHUV. The business plan acceptation is only including the core organization 309

whereas the project is involving the core and project organization. According to the HERMES 5 310

model [2], the project organization is characterized by three layers, the steering, the management 311

and the execution. The specialists (automation specialists, microbiologists, IT and LIS specialists, 312

technicians, architects, manufacturers) will take care of the tasks and their outcomes. 313

314

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Transparency declaration 315

Dr. Croxatto and Prof. Greub have nothing to disclose. No external funding was received. 316

References 317

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16 ASQ. Failure mode effects analysis (fmea). 2012. http://asq.org/learn-about-355 quality/process-analysis-tools/overview/fmea.html 356

357

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ACCEPTED MANUSCRIPTTable 1. Excerpt of a project charter of « full lab automation »

1. Name of the project Automation of the laboratory of bacteriology including inoculation, incubation and telebacteriology 2. Context (origin, history, signification, cause…)

• Sample increase of about 6% each year • Personal shortages • Recently introduced solutions (automated inoculation system and MALDI-TOF) and previous laboratory

reorganization not enough to absorb the increasing number of samples. • Laboratory consolidation (bacteriology and hygiene) • New laboratory • ….

3. Project scope (Partners and needs) • Laboratory of bacteriology and hygiene • Laboratory department • Biomedical engineers • IT specialists (LIS) • Administration and general direction • Manufacturers • …..

4. Objectives of the project Global final results Indicators of success criteria Functional automated system (inoculation, incubation and telebacteriology)

• ≥ 80 % of samples inoculated automatically • ≥ 95 % of plates read through telebacteriology • ≥ 98 % reliability • …..

Results or gain of the project (quantitative and qualitative)

• Decreased TAT • Increased productivity • Increased quality • Decreased FTE • Increased security • ……..

5. Phases of the project See figure 1 Initiation, concept, implementation and deployment 6. Time-limit of the project (estimation) August 2017 7. Risks analysis See table 2 Identification, evaluation, processing and management 8. Organization (hierarchy) See figure 2 Core organization (executive board,..) Project organization

• Steering (sponsor, project committee,..) • Management (Project manager, project support, technical committee, subproject manager,…) • Execution (Specialists: laboratory technicians, manufacturers, …)

9. Resources (Human and material)

• Human • Material

10. Budget (estimation) Not defined Other linked projects?

• Construction of a new laboratory

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ACCEPTED MANUSCRIPT• Transfer of the activity to a new laboratory • Laboratory consolidation (bacteriology and hygiene)

The data provided in this table are given as examples based on our experience in the CHUV

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Table 2. Example of a risk table on a project of automation of the laboratory of bacteriology

Activity Risk description/cause P12 S12 D12 RI12 Mitigation3 Contingency4 Person/staff in

charge5

Customers Decrease or increase in sample volume

3 2 1 6 Marketing and good estimation of the growth trend

FTE recruitment/dismiss Externalization of some analyses

Lab manager/core organization

Core organisation

Funding stopped after the initialization phase

1 3 2 6

Well designed business plan Proposition of a new variant

Laboratory re-organization Staff recruitment Externalization of some analyses

Project organization

Staff Staff escape Active or passive resistance

2 3 2 12

Change management Communication Teamwork Training Reallocation of staff to added value tasks Involvement in R&D

Staff recruitment Modification of the lab organization

Project manager Lab manager

Manufacturer bankruptcy 1 3 2 6 Good knowledge of the manufacturers and market

None Biomedical

engineer Project manager

Technical Failures 3 1-3 3 9-27 Good knowledge of the systems Preventive maintenance

Backup solution Biomedical

engineer

IT Bad connectivity between the system and the LIS

3 3 2 18

Good knowledge of the IT Intensive testing before installation Good coordination between the manufacturer and the laboratory IT staff

Meeting crisis Troubleshooting LIS unconnected mode

IT specialist of the manufacturer, the

LIS system and the laboratory.

Project Poor Project management

2 3 2 12

Cautious recruitment of the project manager by the project Committee Frequent reporting of the project progression Powerful guiding coalition

Recruitment of a new project manager and/or guiding coalition

Core and project organization

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1 P: Probability, S: Severity, D: Detection, RI: Risk Index (RI = P x S x D)

2 (1) Unlikely (P) /Minor (S) /Certain (D), (2) Occasional (P) /Moderate (S/D), (3) Frequent (P) / Critical (S) / Low (D)

3 Mitigation: Measures to minimize the P and S

4 Contingency: Measure to be taken if the risk occurs

5 Person or staff in charge of the management of the risks

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Core organizationUniversity hospital (CHUV)

Executive boardControlling and compliance Account manager

SteeringSponsors

Laboratory department and Head of the institute of

Microbiology

Project committeeHead of the institute of MicrobiologyHead of the laboratory of BacteriologyHead of the laboratory of HygieneTechnical director

Project manager

Technical committeeBiomedical engineerIT specialistMaintenance specialistTechnician executive

SubprojectIT

SubprojectUser

SubprojectNew laboratory

SpecialistLIS specialists

SpecialistTechnician executiveTechnicianHead of the laboratory

SpecialistArchitectHead of the laboratoryTechnician executive

SubprojectAutomation system

SpecialistManufacturer

Management

Execution

Business plan

Project

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Initiation Conception Implementation Deployement

�Objectives�Context�General requirements�Projects options�Preliminary risk analysis�Business plan�Choice of project�Project chart�Project organization�Phase report

General requirements

Project chart System characterization and selection

�System requirements�Detailed general analysis�Contact with manufacturers�Factories visits �Lab workflow analysis�Risk analysis�Public tender�Selection of an automated system�Contract �Phase report

Specific requirements

�Detailed system specification�Change management�Risk analysis�Testing (Mock lab)�LIS specification�Technical specification�Laboratory specifications�Training�Phase report

�System installation and activation�Change management�Training�Testing�Risk analysis�Go-live�Follow-up of success criteria indicators�Validation�Final project evaluation

SpecificationPreparation

Pre-delivery

Launching

Project release

Systemdelivery

Phase release

Phase release

Project Initiation

LaunchingProject End

Final project evaluation

Acceptance